More stories

  • in

    Unique H2-utilizing lithotrophy in serpentinite-hosted systems

    Serpentinite-hosted systems are rare and extreme habitats in which a hydrothermal process, serpentinization, alters ultramafic mantle rocks and yields hyperalkaline fluid rich in molecular hydrogen (H2) and reduced one-carbon compounds [1,2,3,4,5,6,7,8]. These fluids are often electron acceptor depleted—oxygen, nitrate, sulfate, etc. are absent (i.e., anoxic) and even the least favorable exogenous acceptor, carbon dioxide (CO2), is limiting due to the high alkalinity. Though previous studies explore the diversity of organisms in serpentinite-hosted systems, we have little insight into how indigenous H2-utilizing microorganisms combat the unique metabolic challenges in situ. One recent study shows strategies that methane-generating archaea employ to oxidize H2 in situ [9], but how other microorganisms (i.e., H2-utilizing anaerobic bacteria) overcome the electron acceptor limitation is poorly understood. Further, given that life is theorized to have emerged as H2-utilizing lithotrophs in early Earth serpentinite-hosted systems [10,11,12,13,14,15,16,17,18,19,20,21,22,23,24], modern lithotrophs inhabiting such ecosystems may represent valuable extant windows into the metabolism of primordial organisms. In this study, we pair metagenomics and thermodynamics to characterize uncultured putative anaerobic H2 utilizers inhabiting alkaline H2-rich serpentinite-hosted systems (Hakuba Happo hot springs in Hakuba, Japan, and The Cedars springs in California, USA; pH ~10.9 and ~11.9, respectively [25,26,27]) and elucidate novel, potentially ancient, lithotrophic strategies.Thermodynamics and geochemistryThe two primary strategies for utilizing H2 under anoxic conditions without favorable exogenous electron acceptors are methanogenesis and homoacetogenesis. As bacteria were detected in both Hakuba and The Cedars, yet archaea were absent in Hakuba, we focused our analyzes on metabolic strategies supporting bacterial H2 utilization (i.e., homoacetogenesis). To evaluate whether homoacetogenesis is viable in situ, we examined the in situ geochemical environment and the thermodynamics of H2/formate utilization and homoacetogenesis. The spring waters of both Hakuba and The Cedars contained H2 (e.g., 201–664 μM in Hakuba [27]). Formate, another compound thought to be abiotically generated through serpentinization, was also detected in Hakuba (8 μM in drilling well #3 [28]) and The Cedars (6.9 µM in GPS1). Acetate has also been detected in situ (4 μM in Hakuba [28] and 69.3 µM in The Cedars GPS1), suggesting these ecosystems may host novel H2- and/or formate-utilizing homoacetogens. Thermodynamic calculations using newly measured and published geochemical data (Tables S1 and S2) confirmed that H2 and formate are reductants in situ (i.e., H2 = 2H+ + 2e−/Formate− = H+ + CO2 + 2e−): the Gibbs free energy yields (∆G) for oxidation (coupled with physiological electron carriers NADP+, NAD+, and ferredoxin) are less than −4.78 kJ per mol H2 and −24.92 kJ per mol formate in Hakuba, and −10.73 and −22.03 in The Cedars respectively (H2 concentration was not available for The Cedars so the highest concentration observed in Hakuba [664 µM] was used; see Supplementary Results). However, serpentinite-hosted systems impose a unique challenge to homoacetogenesis—a key substrate, CO2, is at extremely low concentrations due to the high alkalinity. We estimate that the aqueous CO2 concentration is below 0.0006 nM in Hakuba (pH 10.7 and  +24.92 or +22.02 kJ per mol formate). Thus, catabolic reduction of CO2 to acetate is thermodynamically challenging in situ and may only run if investing ATP (e.g., Calvin–Benson–Bassham cycle [−6 ATP; ∆G of −361.68 kJ per mol acetate in Hakuba] or reductive tricarboxylic acid [−1 ATP; −61.68 kJ per mol]). Under CO2 limitation, autotrophs are known to accelerate CO2 uptake through HCO3− dehydration to CO2 (carbonic anhydrase) or carbonate mineral dissolution, but both only modify kinetics and are not effective in changing the maximum CO2 concentration (determined by equilibrium with carbonate species). In addition, in Hakuba, the CO32− concentration is too low (84.7 nM CO32−) to cause carbonate mineral precipitation (e.g., [CO32−] must exceed 38.5 µM given Ks of 5 ×  10−9 for CaCO3 and [Ca2+] of 0.13 mM).Based on thermodynamic calculations, the energy obtainable from H2/CO2-driven homoacetogenesis is too small to support life in many serpentinite-hosted systems, yet acetate is detected in some of these ecosystems (Fig. S2 and Table S2; note that we cannot exclude the possibility that acetate may be produced abiotically by water–rock reactions [30]). Thus, CO2-independent electron-disposing metabolism may have been necessary for extremophilic organisms to gain energy from H2 in the hyperalkaline fluids of hydrothermal systems. Here, we explore the metabolic capacities of organisms living in serpentinite-hosted systems to gain insight into potential metabolic strategies for utilizing H2 under the extreme conditions in situ.Diverse putative H2- and formate-utilizing organismsThrough metagenomic exploration of the two serpentinite-hosted systems (Table S3), we discover a plethora of phylogenetically novel organisms encoding genes for H2 and formate metabolism (19 bins with 73.2–94.8% completeness and 0.0–8.1% contamination [86.1% and 3.8% on average respectively]; available under NCBI BioProject PRJNA453100) despite challenges in acquisition of genomic DNA (15.7 and 18.9 ng of DNA from 233 and 720 L of filtered Hakuba Happo spring water, respectively; RNA was below the detection limit). We find metagenome-assembled genomes (MAGs) affiliated with lineages of Firmicutes (e.g., Syntrophomonadaceae and uncultured family SRB2), Actinobacteria, and candidate division NPL-UPA2 [31] (Fig. S3). We also recovered MAGs for a novel lineage, herein referred to as “Ca. Lithacetigenota”, that inhabits both Hakuba and The Cedars and, to our knowledge, no other ecosystems (Figs. 1, 2a, S3, and S4). The average amino acid identity (AAI) between Ca. Lithacetigenota and neighboring phyla (Coprothermobacterota, Dictyoglomi, Thermodesulfobiota [GTDB-defined phylum], Thermotogae, and Caldiserica) was comparable to the average interphylum AAI among the neighboring phyla (45.33 ± 0.86% vs 45.17 ± 0.99%), suggesting that Ca. Lithacetigenota represents a novel phylum-level lineage (Fig. 2a, b). These genomes encode enzymes for oxidizing H2 and formate (i.e., hydrogenases and formate dehydrogenases [32,33,34,35,36,37,38,39]; see Supplementary Results), suggesting that organisms in situ can employ H2 and formate as electron donors.Fig. 1: Ribosomal protein tree including high-quality MAGs from 74 GTDB-defined phylum-level lineages.Representative genomes (highest quality based on a score defined as completeness – 5*contamination, both estimated by CheckM) were chosen for bacterial classes that contain at least one genome the meet the following criteria: (i) cultured organisms with ≥90% completeness, ≤5% contamination (as estimated by CheckM), and ≤ 20 contigs; (ii) uncultured organisms with ≥85% completeness, ≤3% contamination, and ≤20 contigs; and (iii) Ca. Patescibacteria with ≥60% completeness and ≤1 contig. Universally conserved ribosomal proteins were collected from each genome, aligned with MAFFT v7.394, trimmed with BMGE v1.12 (-m BLOSUM30 -g 0.67 -b 3), and concatenated. A maximum likelihood tree was calculated using IQ-TREE v2.1.3 with the UDM0064LCLR model (-m Poisson+UDM0064LCLR), ultrafast bootstrap approximation, and SH-like approximate likelihood ratio test (-B 1000 -alrt 1000; bootstrap values are recalculated with BOOSTER using the -tbe option). Branches with ≥90% ultrafast bootstrap support and ≥80% SH-alrt support are indicated with black circles. Archaeal and eukaryotic genomes were used as an outgroup. The inter-domain branch was shortened with a break to 1/10 of the calculated length for illustrative purposes. Phylogenetic groups corresponding to “Gracilicutes” and “Terrabacteria” are indicated yellow and blue respectively. Ca. Lithacetigenota are highlighted (magenta). See Supplementary Fig. S4 for full tree.Full size imageFig. 2: “Ca. Lithacetigenota” phylogeny, lithotrophic acetate generation pathways, and comparative genomics with neighboring phyla.a A maximum likelihood tree was calculated for a concatenated alignment of universally conserved ribosomal protein sequences from representative genomes of individual phyla (aligned with MAFFT v7.394 [default parameters] and trimmed with BMGE v1.12 (−m BLOSUM30 −g 0.67 −b 3) using IQ-TREE v2.1.3 with the UDM0064LCLR model (-m Poisson+UDM0064LCLR), ultrafast bootstrap approximation, and SH-like approximate likelihood ratio test (-B 1000 -alrt 1000; bootstrap values are recalculated with BOOSTER using the -tbe option). Branches with ≥90% ultrafast bootstrap support and ≥80% SH-alrt support are indicated with black circles. Phylum names are shown for NCBI taxonomy (italicized) or GTDB classification (*). b The average inter-phylum AAI (as calculated by CompareM) was calculated using GTDB species representatives. c Putative metabolic pathways potentially adapted to the CO2-limited hyperalkaline conditions encoded by “Ca. Lithacetigenota” members and others: formate- and glycine-reducing acetate generation. Arrow colors indicate oxidative (pink), reductive (blue), ATP-yielding (orange), and ATP-consuming (green) steps. d Venn diagram of COGs/NOGs (as predicted by eggnog-mapper) fully conserved across all members of each phylum (genomes included in GTDB release 95 with completeness ≥85% and contamination ≤5%). COGs/NOGs related to lithotrophy and alkaliphily are highlighted. * “COG” abbreviated.Full size image“Ca. Lithacetigenota” has unique site-adapted metabolismInspection of the serpentinite-hosted environment-exclusive phylum “Ca. Lithacetigenota” reveals specialization to H2-driven lithotrophy potentially suitable for the low-CO2 in situ conditions (Fig. 2c). We discover that The Cedars-inhabiting population (e.g., MAG BS5B28, 94.8% completeness and 2.9% contamination) harbors genes for H2 oxidation ([NiFe] hydrogenase Hox), a nearly complete Wood-Ljungdahl pathway, and an oxidoreductase often associated with acetogenesis—NADH:ferredoxin oxidoreductase Rnf [40, 41] (Tables S4 and S5). One critical enzyme, the formate dehydrogenase, is missing from all three “Ca. Lithacetigenota” MAGs from The Cedars (and unbinned contigs), indicating that these bacteria can neither perform H2/CO2-driven nor formate-oxidizing acetogenesis (Fig. 2c). However, even without the formate dehydrogenase, the genes present can form a coherent pathway that uses formate rather than CO2 as a starting point for the “methyl branch” of the Wood–Ljungdahl pathway (i.e., formate serves as an electron acceptor; Fig. 2c). This is a simple yet potentially effective strategy for performing homoacetogenesis while circumventing the unfavorable reduction of CO2 to formate. Coupling H2 oxidation with this formate-reducing pathway is thermodynamically viable as it halves the usage of CO2 (3H2 + Formate− + CO2 = Acetate− + 2H2O; ∆G of −29.62 kJ per mol acetate) and, as a pathway, is simply an intersection between the conventional H2/CO2-driven and formate-disproportionating acetogenesis (Fig. 2c and S5). Although use of formate as an electron acceptor for formate-oxidizing acetogenesis is quite common, no previous homoacetogens have been observed to couple H2 oxidation with acetogenesis from formate, likely because CO2 has a much higher availability than formate in most ecosystems.The Hakuba-inhabiting “Ca. Lithacetigenota” (HKB210 and HKB111) also encodes Hox for H2 oxidation but lacks genes for homoacetogenesis (no homologs closely related to The Cedars population genes were detected even in unbinned metagenomic contigs). We suspect that this population forgoes the above H2/formate-driven homoacetogenesis because the estimated energy yield of the net reaction in situ (∆G of −19.94 kJ per mol acetate) is extremely close to the thermodynamic threshold of microbial catabolism (slightly above −20 kJ per mol) and, depending on the actual threshold for “Ca. Lithacetigenota” and/or even slight changes in the surrounding conditions (e.g., ∆G increases by 1 kJ per mol if H2 decreases by 20 µM decreases in Hakuba), the metabolism may be unable to recover energy. Through searching the physicochemical environment for alternative exogenous electron acceptors and MAGs for electron-disposing pathways, we detected a low concentration of glycine in situ (5.4 ± 1.6 nM; Table S6) and found genes specific to catabolic glycine reduction (see next paragraph). We suspect that some portion of this glycine is likely geochemically generated in situ, given that (a) glycine is often detected as the most abundant amino acid produced by both natural and laboratory-based serpentinization (e.g., H2 + Formate = Formaldehyde ⇒ Formaldehyde + NH3 = Glycine) [10, 16, 42,43,44,45,46,47] and (b) no other amino acid was consistently detectable (if glycine was cell-derived, other amino acids ought to also be consistently detected).For utilization of the putatively abiotic glycine, the Hakuba “Ca. Lithacetigenota” encodes glycine reductases (Grd; Fig. 3 and S6; Tables S4 and S5)—a unidirectional selenoprotein for catabolic glycine reduction [48, 49]. Based on the genes available, this population likely specializes in coupling H2 oxidation and glycine reduction (H2 + Glycine− → Acetate− + NH3; Fig. 2c). Firstly, the genomes encode NADP-linked thioredoxin reductases (NADPH + Thioredoxinox → NADP+ + Thioredoxinred) that can bridge electron transfer from H2 oxidation (H2 + NADP → NADPH + H+) to glycine reduction (Glycine− + Thioredoxinred → Acetyl-Pi + NH3 + Thioredoxinox). Secondly, though glycine reduction is typically coupled with amino acid oxidation (i.e., Stickland reaction in Firmicutes and Synergistetes [48, 50]), similar metabolic couplings have been reported for some organisms (i.e., formate-oxidizing glycine reduction [via Grd] [51] and H2-oxidizing trimethylglycine reduction [via Grd-related betaine reductase] [52]). Thirdly, Grd is a rare catabolic enzyme, so far found in organisms that specialize in amino acid (or peptide) catabolism, many of which are reported to use glycine for the Stickland reaction (e.g., Peptoclostridium of Firmicutes and Aminobacterium of Synergistetes [53]). Lastly, the population lacks any discernable fermentative (propionate [methylmalonyl-CoA pathway], butyrate [reverse beta oxidation], lactate [lactate dehydrogenase], and alanine [alanine dehydrogenase]) and respiratory (aerobic [terminal oxidases], nitrate [nitrate reductase, nitrite reductase, nitric oxide reductase, nitrous oxide reductase], sulfate [dissimilatory sulfate reductase and sulfite reductase], other sulfurous compounds [molybdopterin-binding protein family sulfurous compound reductases], and metals [outer membrane cytochrome OmcB]) electron disposal pathways and oxidative organotrophy (Tables S4 and S5). Although the BS5B28 genome encodes a bifunctional alcohol/aldehyde dehydrogenase and aldehyde:ferredoxin oxidoreductase, no complete sugar or amino acid degradation pathways could be identified, suggesting that these genes have a physiological role unrelated to ethanol fermentation. Further, though formate and glycine transporters were absent in the genomes, a survey of transporters (annotated in UniProtKB 2021_03 [54]) revealed that no alkaliphiles (organisms with optimum pH ≥ 9.5 in the DSMZ BacDive database [55]) encoded known formate transporters (focA; TIGR04060) or amino acid permeases (PF00324) (ABC transporters were not considered as substrate specificity for these complexes cannot be annotated reliably), indicating that alkaliphiles likely employ unknown transport proteins. Reflecting the lack of other catabolic pathways, the Hakuba “Ca. Lithacetigenota” MAGs display extensive genome streamlining, comparable to that of Aurantimicrobium [56, 57], “Ca. Pelagibacter” [58], and Rhodoluna [59] in aquatic systems, as also reported for other organisms inhabiting serpentinite-hosted systems [60, 61] (Fig. S7). Thermodynamic calculations show that H2-oxidizing glycine reduction is favorable in situ (∆G°’ of −70.37 kJ per mol glycine [∆G of −85.84 in Hakuba]; Fig. S1). Further, based on the pathway identified, this putative metabolism is >10 times more efficient in recovering energy from H2 (1 mol ATP per mol H2) than acetogenesis utilizing H2/CO2 (0.075 mol ATP per mol H2 based on the pathway Acetobacterium woodii utilizes) or H2/formate (0.075 mol ATP per mol H2, assuming no energy recovery associated with the formate dehydrogenase). We also detect glycine reductases in The Cedars “Ca. Lithacetigenota”, indicating that it may also perform this metabolism (∆G of −76.87 in The Cedars, assuming 201 µM H2).Fig. 3: Evolution and distribution of glycine reductases.a Phylogeny of serpentinite-hosted microbiome glycine reductase subunit GrdBE homologs (Hakuba Happo hot spring*, The Cedars springs†, and other serpentinite-hosted system metagenomes#) and a brief scheme for evolutionary history of Grd. Grd-related COG1978 homologs were collected from the representative species genomes in GTDB, filtered using a GrdB motif conserved across members of phyla known to perform glycine-reducing Stickland reaction (see Methods and Supplementary Fig. S6) and clustered with 75% amino acid sequence similarity using CD-HIT (-c 0.75). GrdB-related sarcosine reductase subunits were excluded by identification of a GrdF motif conserved across sequences that form a distinct cluster around the biochemically characterized Peptoclostridium acidaminophilum GrdF. GrdE neighboring GrdB were collected. D-proline reductase subunits PrdBA (homologous to GrdB and GrdE respectively) was used as an outgroup. GrdB+PrdB and GrdE+PrdA were aligned (MAFFT v7.394) and trimmed (BMGE v1.12 -m BLOSUM30 -g 0.05) separately, then concatenated. A maximum likelihood tree was calculated using IQ-TREE v2.1.3 (-m LG+C20+G+F) and 1000 ultrafast bootstrap replicates (bootstrap values are recalculated with BOOSTER). Branches with ≥95% ultrafast bootstrap support are indicated with pink circles. Serpentinite-hosted system-derived sequences are shown in blue and taxa that may have gained GrdB through horizontal transfer are shown in green. Though the GrdB motif did not match, the closest (and only) detectable archaeal homolog (COG1978) identified in Ca. Bathyarchaeota is included. An axis break is used for the branch connecting GrdBE (and the Ca. Bathyarchaeota homolog) and outlier PrdBA for readability (10% of actual length). See Supplementary Fig. S6 for complete tree and full branch length between GrdBE and PrdBA. In the brief scheme of Grd evolution (top left), the cladogram topology is based on Fig. S4. Vertical transfer (red lines in cladogram) and horizontal transfer (black arrows) inferred from tree structures are shown. Phyla that may have acquired Grd vertically (red) and horizontally (gray) are indicated. GTDB phyla belonging to Firmicutes were grouped together. * GTDB-defined phylum-level lineage nomenclature. b Number of glycine reductase-encoding GTDB-defined species representatives (GTDB r95) associated with different environments. Only genomes with both GrdB and GrdE were included.Full size imageGiven the phylogenetic and metabolic uniqueness of these populations, we report provisional taxonomic assignment to “Ca. Lithacetigenota” phyl. nov., “Ca. Lithacetigena glycinireducens” gen. nov., sp. nov. (HKB111 and HKB210), and “Ca. Psychracetigena formicireducens” gen. nov., sp. nov. (BS525, BS5B28, and GPS1B18) (see Supplementary Results). Based on a concatenated ribosomal protein tree, this serpentinite-hosted ecosystem-associated candidate phylum is closely related to the deepest-branching group of bacterial phyla in “Terrabacteria”, one of the two major of lineages Bacteria (Fig. 1). Comparative genomics shows that “Ca. Lithacetigenota” shares 623 core functions (based on Bacteria-level COGs/NOGs predicted by eggnog-mapper shared by the two highest quality Hakuba and The Cedars MAGs HKB210 and BS5B28; Fig. 2d). When compared with the core functions of two closest related phyla (Caldiserica and Coprothermobacterota), 176 functions were unique to “Ca. Lithacetigenota”, including those for NiFe hydrogenases (and their maturation proteins), selenocysteine utilization (essential for Grd), and sodium:proton antiporter for alkaliphily. With Coprothermobacterota, 232 functions were shared, including Grd, thioredoxin oxidoreductase (essential for electron transfer to Grd), and additional proteins for NiFe hydrogenases and selenocysteine utilization, pointing toward importance of H2 metabolism and glycine reduction for these closely related phyla. More importantly, among bacterial phyla in the deep-branching group, “Ca. Lithacetigenota” represents the first lineage inhabiting hyperalkaliphilic serpentinite-hosted ecosystems, suggesting that these organisms may be valuable extant windows into potential physiologies of primordial organisms who are thought to have lived under hyperalkaline conditions (albeit with 4 billion years of evolution in between; see discussion regarding Grd below).Widespread glycine reduction in serpentinite-hosted systemsUncultured members of Chloroflexi (Chloroflexota) class Dehalococcoidia inhabiting The Cedars and Firmicutes (Firmicutes_D) class SRB2 in Hakuba and The Cedars also possess glycine reductases (Table S5). In addition, these populations encode hydrogenases and formate dehydrogenases, suggesting that they may also link H2 and formate metabolism to glycine reduction. Closely related glycine reductases were also detected in other studied serpentinite-hosted systems (47–94% amino acid similarity in Tablelands, Voltri Massif, and Coast Range Ophiolite) [1, 2, 7]. Phylogenetic analysis of the glycine-binding “protein B” subunits GrdB and GrdE reveals close evolutionary relationships between glycine reductases from distant/remote sites (Fig. 3a and S6). Note that Tablelands spring glycine reductase sequences were not included in the analysis as they were only detected in the unassembled metagenomic reads (4460690.3; 69.7–82.2% similarity to Hakuba SRB2). Overall, “Ca. Lithacetigenota”, Dehalococcoidia, and SRB2 glycine reductases are all detected in at least two out of the seven metagenomically investigated systems despite the diverse environmental conditions (e.g., temperature). Thus, we propose glycine as an overlooked thermodynamically and energetically favorable electron acceptor for H2 oxidation in serpentinite-hosted systems. We suspect that glycine reduction may be a valuable catabolic strategy as the pathway requires few genes/proteins (a hydrogenase, Grd, acetate kinase, and thioredoxin oxidoreductase) and conveniently provides acetate, ammonia, and ATP as basic forms of carbon, nitrogen, and energy.Phylogenetic analysis of glycine reductases (Fig. 3a and S6) shows that the novel homologs recovered from serpentinite-hosted systems represent deep-branching lineages distantly related from those detectable in published genomes (GTDB r95 species representatives). Further comparison of the topology with a ribosomal protein-based genome tree (Fig. 2a) indicates that the two deep-branching serpentinite-hosted system-affiliated lineages (Ca. Lithacetigenota and novel Chloroflexi family) and Firmicutes vertically inherited glycine reductases. Thus, catabolic glycine reduction can be traced back to the concestor of these three lineages, suggesting the metabolism at least dates back to the ancestor of “Terrabacteria”. We further identified an archaeal GRD homolog (in Miscellaneous Crenarchaeota Group [MCG] or Ca. Bathyarchaeota member BA-1; Fig. 3a and S6), but whether this gene functions as a glycine reductase (GrdB motif not fully conserved) and, further, truly belong to this clade (source is metagenome-assembled genome) remains to be verified. Reconstruction of the ancestral Grd sequence and estimation of its pH preference (via AcalPred) showed that the ancestral enzyme likely had good efficiency under alkaline conditions (pH  > 9; probability of 0.9973 and 0.9858 for GrdB and GrdE, respectively). Thus, the currently available data suggest that Grd (and catabolic glycine reduction) is an ancient bacterial catabolic innovation in an alkaline habitat, dating back to one of the deepest nodes in the bacterial tree.While we detect glycine reductases in many serpentinite-hosted systems, examination of genomes derived from other natural ecosystems shows that only 107 species (species representatives in GTDB r95; 0.35% of all GTDB species) inhabiting such habitats encode GrdBE (Fig. 3b and S6). This is a level comparable to rare artificial contaminant-degrading enzymes (e.g., tetrachloroethane dehalogenase pceA—65 species [encoding KEGG KO K21647 based on AnnoTree with GTDB r95 and default settings [62]]; dibenzofuran dioxygenase—258 species [K14599 and K14600]). Most glycine reductase homologs are found in species affiliated with host-associated (mostly human body and rumen) or artificial habitats (360 species), the majority of which belong to the phylum Firmicutes. We suspect that glycine reduction has low utility in most natural ecosystems (e.g., no excess glycine via abiotic generation and no severe nutrient/electron acceptor limitation) and has been repurposed by some anaerobes for the fermentative Stickland reaction in organic-rich ecosystems (e.g., host-associated ecosystems) where excess amino acids are available but access to favorable electron acceptors is limited (Fig. 3b) (notably, glycine is the dominant amino acid in collagen [ >30%], the most abundant protein in vertebrate bodies).Other characteristics of putative indigenous homoacetogensIn contrast with members of “Ca. Lithacetigenota”, several other putative homoacetogenic populations encode the complete Wood–Ljundgahl pathway (Tables S4 and S5), indicating that other forms of acetogenesis may also be viable in situ. One putative homoacetogen in The Cedars, NPL-UPA2, lacks hydrogenases but encodes formate dehydrogenases. Although the NPL-UPA2 population cannot perform H2/formate-driven acetogenesis, it may couple formate oxidation with formate-reducing acetogenesis—another thermodynamically viable metabolism (∆G of –50.90 kJ per mol acetate in The Cedars; Fig. S5). The pathway uses CO2 as a substrate but has lower CO2 consumption compared to H2/CO2 homoacetogenesis and can produce intracellular CO2 from formate. A recent study also points out that methanogens inhabiting serpentinite-hosted environments oxidize formate presumably to generate intracellular CO2 [9]. In Hakuba, an Actinobacteria population affiliated with the uncultured class UBA1414 (MAG HKB206) encodes hydrogenases and a complete Wood–Ljungdahl pathway (Table S5) and, thus, may be capable of H2/formate or the above formate-disproportionating acetogenesis (Fig. 2c and S5). Indeed, the UBA1414 population was enriched in Hakuba-derived cultures aiming to enrich acetogens using the H2 generated by the metallic iron–water reaction [63] (Fig. S8). Many populations encoding a complete Wood–Ljungdahl pathway possess monomeric CO dehydrogenases (CooS unassociated with CODH/ACS subunits; NPL-UPA2, Actinobacteria, Syntrophomonadaceae [Hakuba and The Cedars], and Dehalococcoidia [The Cedars]; Table S4). Although CO is below the detection limit in Hakuba (personal communication with permission from Dr. Konomi Suda), another study shows that CO metabolism takes place in an actively serpentinizing system with no detectable CO [64]. Given that CO is a known product of serpentinization [7, 64], it may be an important substrate for thermodynamically favorable acetogenesis in situ. However, further investigation is necessary to verify this (e.g., need to measure CO at multiple time points).Another interesting adaptation observed for all putative homoacetogens detected in Hakuba and The Cedars was possession of an unusual CODH/ACS complex. Although Bacteria and Archaea are known to encode structurally distinct forms of CODH/ACS (designated as Acs and Cdh respectively for this study), all studied Hakuba/The Cedars putative homoacetogens encode genes for a hybrid CODH/ACS that integrate archaeal subunits for the CO dehydrogenase (AcsA replaced with CdhAB) and acetyl-CoA synthase (AcsB replaced with CdhC) and bacterial subunits for the corrinoid protein and methyltransferase components (AcsCDE) (Table S4). The Firmicutes lineages also additionally encode the conventional bacterial AcsABCDE. Given that all of the identified putative homoacetogens encode this peculiar hybrid complex, we suspect that such CODH/ACS’s may have features adapted to the high-pH low-CO2 conditions (e.g., high affinity for CO2 and/or CO). In agreement, a similar hybrid CODH/ACS has also been found in the recently isolated “Ca. Desulforudis audaxviator” inhabiting an alkaline (pH 9.3) deep subsurface environment with a low CO2 concentration (below detection limit [65, 66]) [67].Implications for primordial biologyThe last universal common ancestor (LUCA) is hypothesized to have evolved within alkaline hydrothermal mineral deposits at the interface of serpentinization-derived fluid and ambient water (e.g., Hadean weakly acidic seawater) [22,23,24]. Although such interfaces no longer exist (i.e., ancient Earth lacked O2 but most water bodies contain O2 on modern Earth), modern anoxic terrestrial and oceanic ecosystems harboring active serpentinization [1,2,3,4,5,6,7,8] may hold hints for how primordial organisms utilized H2 under hyperalkaline CO2-depleted conditions (e.g., post-LUCA H2-utilizing organisms that ventured away from the interface towards the alkaline fluids). Our findings suggest that unconventional modes of lithotrophy that take advantage of geogenic reduced carbon compounds (e.g., formate and glycine) as exogenous electron acceptors may have been viable approaches to circumventing thermodynamic issues and obtaining energy from H2 oxidation in situ. The strategies we discover are largely exclusive to the bacterial domain (archaeal CO2 reduction does not involve formate as an intermediate and, to our knowledge, glycine reduction is limited to Bacteria) and originated deep in the bacterial tree, suggesting they may have been relevant in the divergence towards the bacterial and archaeal domains. Notably, the estimated alkaliphily of the ancestral Grd also points towards the relevance of this metabolism in ancient alkaline habitats. More

  • in

    Seasonal challenges of tropical bats in temperate zones

    We analyzed a total of 2196 morbidity reports received in Israel between November 2018 and October 2021 (Fig. 1A). The majority of these were for adult bats 1,783 (81.2%), of which 1432 (80.3%) were from urban areas (settlements populated by 30,000 or more people) and the remaining 351 (19.7%) were from rural areas, including small villages, nature reserves, and army bases. Out of all these adult cases, the animal’s sex was identified in only 295 cases (16.6%), with 171 (58%) being females and 124 (42%) being males. 413 (18.8% of all cases) were pups, up to 4 months old, from throughout the country, without sex identification.We found a dramatic and significant increase in adult bat morbidity during winter (see Fig. 1B) (p  More

  • in

    Ornaments are equally informative in male and female birds

    Amundsen, T. In Animal Signals: Signalling and Signal Design in Animal Communication (eds. Espmark, Y., Amundsen, T. & Rosenqvist, G.) 133–154 (Tapir Academic Press, 2000).Amundsen, T. Why are female birds ornamented? Trends Ecol. Evol. 15, 149–155 (2000).CAS 
    PubMed 
    Article 

    Google Scholar 
    Lande, R. Sexual dimorphism, sexual selection and adaptation in polygenic characters. Evolution 34, 292–305 (1980).PubMed 
    Article 

    Google Scholar 
    Poissant, J., Wilson, A. J. & Coltman, D. W. Sex-specific genetic variance and the evolution of sexual size dimorphism: a systematic review of cross-sex genetic correlations. Evolution 64, 97–107 (2009).PubMed 
    Article 

    Google Scholar 
    Nordeide, J. T., Kekäläinen, J., Janhunen, M. & Kortet, R. Female ornaments revisited—are they correlated with offspring quality? J. Anim. Ecol. 82, 26–38 (2013).PubMed 
    Article 

    Google Scholar 
    Prum, R. O. The Evolution of Beauty: How Darwin’s Forgotten Theory of Mate Choice Shapes the Animal World and Us (Doubleday, 2017).Clark, C. J. & Rankin, D. Subtle, pervasive genetic correlation between the sexes in the evolution of dimorphic hummingbird tail ornaments. Evolution 74, 528–543 (2020).PubMed 
    Article 

    Google Scholar 
    LeBas, N. R. Female finery is not for males. Trends Ecol. Evol. 21, 170–173 (2006).PubMed 
    Article 

    Google Scholar 
    Kraaijeveld, K., Kraaijeveld-Smit, F. J. L. & Komdeur, J. The evolution of mutual ornamentation. Anim. Behav. 74, 657–677 (2007).Article 

    Google Scholar 
    Tobias, J. A., Montgomerie, R. & Lyon, B. E. The evolution of female ornaments and weaponry: social selection, sexual selection and ecological competition. Philos. Trans. R. Soc. B 367, 2274–2293 (2012).Article 

    Google Scholar 
    Hare, R. M. & Simmons, L. W. Sexual selection and its evolutionary consequences in female animals. Biol. Rev. 94, 1464–7931 (2019).Article 

    Google Scholar 
    Hernández, A., Martínez-Gómez, M., Beamonte-Barrientos, R. & Montoya, B. Colourful traits in female birds relate to individual condition, reproductive performance and male-mate preferences: a meta-analytic approach. Biol. Lett. 17, 20210283 (2021).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Tsuboi, M., Gonzalez-Voyer, A., Höglund, J. & Kolm, N. Ecology and mating competition influence sexual dimorphism in Tanganyikan cichlids. Evol. Ecol. 26, 171–185 (2012).Article 

    Google Scholar 
    Andersson, M. Sexual Selection (Princeton Univ. Press, 1994).Doutrelant, C., Fargevieille, A. & Grégoire, A. Evolution of female coloration: what have we learned from birds in general and blue tits in particular. Adv. Study Behav. 52, 123–202 (2020).Article 

    Google Scholar 
    Dunn, P. O., Armenta, J. K. & Whittingham, L. A. Natural and sexual selection act on different axes of variation in avian plumage color. Sci. Adv. 1, e1400155 (2015).ADS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Cotton, S., Fowler, K. & Pomiankowski, A. Do sexual ornaments demonstrate heightened condition-dependent expression as predicted by the handicap hypothesis? Proc. Biol. Sci. 271, 771–783 (2004).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Bonduriansky, R. & Rowe, L. Sexual selection, genetic architecture, and the condition dependence of body shape in the sexually dimorphic fly Prochyliza xanthostoma (Piophilidae). Evolution 59, 138–151 (2005).PubMed 
    Article 

    Google Scholar 
    Johnstone, R. A., Rands, S. A. & Evans, M. R. Sexual selection and condition-dependence. J. Evol. Biol. 22, 2387–2394 (2009).CAS 
    PubMed 
    Article 

    Google Scholar 
    Cotton, S., Fowler, K. & Pomiankowski, A. Heightened condition dependence is not a general feature of male eyespan in stalk-eyed flies (Diptera: Diopsidae). J. Evol. Biol. 17, 1310–1316 (2004).CAS 
    PubMed 
    Article 

    Google Scholar 
    David, P. et al. Male sexual ornament size but not asymmetry reflects condition in stalk-eyed flies. Proc. R. Soc. Lond. B 265, 2211–2216 (1998).Article 

    Google Scholar 
    Bolund, E., Schielzeth, H. & Forstmeier, W. No heightened condition dependence of zebra finch ornaments—a quantitative genetic approach. J. Evol. Biol. 23, 586–597 (2010).CAS 
    PubMed 
    Article 

    Google Scholar 
    Zahavi, A. Mate selection-a selection for a handicap. J. Theor. Biol. 53, 205–214 (1975).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Meunier, J., Figueiredo Pinto, S., Burri, R. & Roulin, A. Eumelanin-based coloration and fitness parameters in birds: a meta-analysis. Behav. Ecol. Sociobiol. 65, 559–567 (2011).Article 

    Google Scholar 
    Weaver, R. J., Santos, E. S. A., Tucker, A. M., Wilson, A. E. & Hill, G. E. Carotenoid metabolism strengthens the link between feather coloration and individual quality. Nat. Commun. 9, 73 (2018).ADS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    White, T. E. Structural colours reflect individual quality: a meta-analysis. Biol. Lett. 16, 20200001 (2020).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Cohen, J. Statistical Power Analysis for the Behavioral Sciences (Taylor & Francis Inc., 1988)Andersson, M. Sexual selection, natural selection and quality advertisement. Biol. J. Linn. Soc. 17, 375–393 (1982).Article 

    Google Scholar 
    Walther, B. A. & Clayton, D. H. Elaborate ornaments are costly to maintain: evidence for high maintenance handicaps. Behav. Ecol. 16, 89–95 (2005).Article 

    Google Scholar 
    Folstad, I. & Karter, A. K. Parasites, bright males and the immunocompetence handicap. Am. Nat. 139, 603–622 (1992).Article 

    Google Scholar 
    Alonso-Alvarez, C., Bertrand, S., Faivre, B., Chastel, O. & Sorci, G. Testosterone and oxidative stress: the oxidation handicap hypothesis. Proc. R. Soc. Lond. B 274, 819–825 (2007).CAS 

    Google Scholar 
    Weaver, R. J., Koch, R. E. & Hill, G. E. What maintains signal honesty in animal colour displays used in mate choice? Philos. Trans. R. Soc. B 372, 20160343 (2017).Article 

    Google Scholar 
    Emlen, D. J., Warren, I. A., Johns, A., Dworkin, I. & Lavine, L. C. A mechanism of extreme growth and reliable signaling in sexually selected ornaments and weapons. Science 337, 860–864 (2012).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Huhta, E. Plumage brightness of prey increases predation risk: an among-species comparison. Ecology 84, 1793–1799 (2003).Article 

    Google Scholar 
    Tibbetts, E. A. & Dale, J. A socially enforced signal of quality in a paper wasp. Nature 432, 18–222 (2004).Article 

    Google Scholar 
    Webster, M. S., Ligon, R. A. & Leighton, G. M. Social costs are an underappreciated force for honest signalling in animal aggregations. Anim. Behav. 143, 167–176 (2018).Article 

    Google Scholar 
    Sheldon, B. C. Differential allocation: tests, mechanisms and implications. Trends Ecol. Evol. 15, 397–402 (2000).CAS 
    PubMed 
    Article 

    Google Scholar 
    Johnstone, R. A., Reynolds, J. D. & Deutsch, J. C. Mutual mate choice and sex differences in choosiness. Evolution 50, 1382–1391 (1996).PubMed 
    Article 

    Google Scholar 
    Promislow, D. E. L., Montgomerie, R. & Martin, T. E. Mortality costs of sexual dimorphism in birds. Proc. R. Soc. Lond. B 250, 143–150 (1992).ADS 
    Article 

    Google Scholar 
    Guindre-Parker, S. & Love, O. P. Revisiting the condition-dependence of melanin-based plumage. J. Avian Biol. 45, 29–33 (2014).Article 

    Google Scholar 
    Roulin, A. & Dijkstra, C. Genetic and environmental components of variation in eumelanin and phaeomelanin sex-traits in the barn owl. Heredity 90, 359–364 (2003).CAS 
    PubMed 
    Article 

    Google Scholar 
    Jawor, J. M. & Breitwisch, R. Melanin ornaments, honesty, and sexual selection. Auk 120, 249–265 (2003).Article 

    Google Scholar 
    Gunderson, A. R., Frame, A. M., Swaddle, J. P. & Forsyth, M. H. Resistance of melanized feathers to bacterial degradation: is it really so black and white? J. Avian Biol. 39, 539–545 (2008).Article 

    Google Scholar 
    Ruiz-de-Castañeda, R., Burtt, E. H. Jr., González-Braojos, S. & Moreno, J. Bacterial degradability of an intrafeather unmelanized ornament: a role for feather-degrading bacteria in sexual selection? Biol. J. Linn. Soc. 105, 409–419 (2012).Article 

    Google Scholar 
    Tazzyman, S. J., Iwasa, Y. & Pomiankowski, A. Signaling efficacy drives the evolution of larger sexual ornaments by sexual selection. Evolution 68, 216–229 (2014).PubMed 
    Article 

    Google Scholar 
    Dale, J., Dey, C. J., Delhey, K., Kempenaers, B. & Valcu, M. The effects of life history and sexual selection on male and female plumage colouration. Nature 527, 367–370 (2015).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Guilford, T. & Dawkins, M. S. Receiver psychology and the evolution of animal signals. Anim. Behav. 42, 1–14 (1991).Article 

    Google Scholar 
    Tazzyman, S. J., Iwasa, Y. & Pomiankowski, A. The handicap process favors exaggerated, rather than reduced, sexual ornaments. Evolution 68, 2534–2549 (2014).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Peters, J. L. et al. Assessing publication bias in meta-analyses in the presence of between-study heterogeneity. J. R. Stat. Soc. Ser. A. 173, 575–591 (2010).MathSciNet 
    Article 

    Google Scholar 
    Dumbacher, J. P. & Fleischer, R. C. Phylogenetic evidence for colour pattern convergence in toxic pitohuis: Müllerian mimicry in birds? Proc. Biol. Sci. 268, 1971–1976 (2001).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Jønsson, K. A., Delhey, K., Sangster, G., Ericson, P. G. P. & Irestedt, M. The evolution of mimicry of friarbirds by orioles (Aves: Passeriformes) in Australo-Pacific archipelagos. Proc. R. Soc. B Biol. Sci. B 283, 20160409 (2016).Article 

    Google Scholar 
    Ord, T. J. & Stuart-Fox, D. Ornament evolution in dragon lizards: multiple gains and widespread losses reveal a complex history of evolutionary change. J. Evol. Biol. 19, 797–808 (2006).CAS 
    PubMed 
    Article 

    Google Scholar 
    Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G. & PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 6, e1000097 (2009).O’Dea, R. E. et al. Preferred reporting items for systematic reviews and meta-analyses in ecology and evolutionary biology: a PRISMA extension. Biol. Rev. 96, 1695–1722 (2021).PubMed 
    Article 

    Google Scholar 
    LeBas, N. R., Hockham, L. R. & Ritchie, M. G. Nonlinear and correlational sexual selection on ‘honest’ female ornamentation. Proc. R. Soc. Lond. B 270, 2159–2165 (2003).Article 

    Google Scholar 
    Ouzzani, M., Hammady, H., Fedorowicz, Z. & Elmagarmid, A. Rayyan—a web and mobile app for systematic reviews. Syst. Rev. 5, 210 (2016).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Rohatgi, A. WebPlotDigitizer. Software version 4.5. https://automeris.io/WebPlotDigitizer (2000).Sidney, S. Nonparametric Statistics for the Behavioral Sciences (McGraw-Hill,1956).Friedman, H. Simplified determination of statistical power, magnitude of effect and research sample sizes. Educ. Psychol. Meas. 42, 521–526 (1982).Article 

    Google Scholar 
    Nakagawa, S. & Cuthill, I. C. Effect size, confidence interval and statistical significance: a practical guide for biologists. Biol. Rev. 82, 591–605 (2007).PubMed 
    Article 

    Google Scholar 
    Verhulst, S. & Nilsson, J. A. The timing of birds’ breeding seasons: a review of experiments that manipulated timing of breeding. Philos. Trans. R. Soc. Lond. B 363, 399–410 (2008).Article 

    Google Scholar 
    Brown, M. E. In Current Ornithology (eds. Nolan, V. & Ketterson, E. D.) 67–135 (Plenum Press, 1996).Labocha, M. K. & Hayes, J. P. Morphometric indices of body condition in birds: a review. J. Ornithol. 153, 1–22 (2012).Article 

    Google Scholar 
    Sánchez, C. A. et al. On the relationship between body condition and parasite infection in wildlife: a review and meta-analysis. Ecol. Lett. 20, 1869–1884 (2018).Article 

    Google Scholar 
    Arnholt, A. T. & Evans, B. BSDA: Basic statistics and data analysis. R package version 1.2.0. https://cran.r-project.org/package=BSDA (2017).Jackson, D., White, I. R., Price, M., Copas, J. & Riley, R. D. Borrowing of strength and study weights in multivariate and network meta-analysis. Stat. Methods Med. Res. 26, 2853–2868 (2017).MathSciNet 
    PubMed 
    Article 

    Google Scholar 
    Hadfield, J. D. MCMC methods for multi-response generalized linear mixed models: the MCMCglmm R Package. J. Stat. Softw. 33, 1–22 (2010).Article 

    Google Scholar 
    Jetz, W., Thomas, G. H., Joy, J. B., Hartmann, K. & Mooers, A. O. The global diversity of birds in space and time. Nature 491, 444–448 (2012).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Nakagawa, S. & De Villemereuil, P. A general method for simultaneously accounting for phylogenetic and species sampling uncertainty via Rubin’s rules in comparative analysis. Syst. Biol. 68, 632–641 (2019).PubMed 
    Article 

    Google Scholar 
    Cinar, O., Nakagawa, S. & Viechtbauer, W. Phylogenetic multilevel meta-analysis: a simulation study on the importance of modeling the phylogeny. Methods Ecol. Evol. 13, 383–395 (2022).Article 

    Google Scholar 
    Viechtbauer, W. Conducting meta-analyses in R with the metafor package. J. Stat. Softw. 36, 1–48 (2010).Article 

    Google Scholar 
    Egger, M., Davey Smith, G., Schneider, M. & Minder, C. Bias in meta-analysis detected by a simple, graphical test. BMJ 315, 629–634 (1997).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Duval, S. & Tweedie, R. Trim and fill: a simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics 56, 455–463 (2000).CAS 
    PubMed 
    MATH 
    Article 

    Google Scholar 
    Nakagawa, S. et al. Methods for testing publication bias in ecological and evolutionary meta-analyses. Methods Ecol. Evol. 13, 4–21 (2022).Article 

    Google Scholar 
    Nakagawa, S. & Santos, E. S. A. Methodological issues and advances in biological meta-analysis. Evol. Ecol. 26, 1253–1274 (2012).Article 

    Google Scholar 
    Billerman, S. M., Keeney, B. K., Rodewald, P. G. & Schulenberg, T. S. Birds of the World (Cornell Laboratory of Ornithology, 2000). More

  • in

    Applying genomic approaches to delineate conservation strategies using the freshwater mussel Margaritifera margaritifera in the Iberian Peninsula as a model

    Funk, W. C., McKay, J. K., Hohenlohe, P. A. & Allendorf, F. W. Harnessing genomics for delineating conservation units. Trends Ecol. Evol. 27, 489–496. https://doi.org/10.1016/j.tree.2012.05.012 (2012).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Hohenlohe, P. A., Funk, W. C. & Rajora, O. P. Population genomics for wildlife conservation and management. Mol. Ecol. 30, 62–82. https://doi.org/10.1111/mec.15720 (2020).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Helyar, S. J. et al. Application of SNPs for population genetics of nonmodel organisms: New opportunities and challenges. Mol. Ecol. Resour. 11, 123–136. https://doi.org/10.1111/j.1755-0998.2010.02943.x (2011).ADS 
    Article 
    PubMed 

    Google Scholar 
    Allendorf, F. W. Genetics and the conservation of natural populations: Allozymes to genomes. Mol. Ecol. 26, 420–430. https://doi.org/10.1111/mec.13948 (2017).CAS 
    Article 
    PubMed 

    Google Scholar 
    Zimmerman, S. J., Aldridge, C. L. & Oyler-McCance, S. J. An empirical comparison of population genetic analyses using microsatellite and SNP data for a species of conservation concern. BMC Genomics 21, 38. https://doi.org/10.1186/s12864-020-06783-9 (2020).CAS 
    Article 

    Google Scholar 
    Lemopoulos, A. et al. Comparing RADseq and microsatellites for estimating genetic diversity and relatedness—implications for brown trout conservation. Ecol. Evol. 9, 2106–2120. https://doi.org/10.1002/ece3.4905 (2019).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Kleinman-Ruiz, D. et al. Novel efficient genome-wide SNP panels for the conservation of the highly endangered Iberian lynx. BMC Genomics 18, 556. https://doi.org/10.1186/s12864-017-3946-5 (2017).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Geist, J. Strategies for the conservation of endangered freshwater pearl mussels (Margaritifera margaritifera L.): A synthesis of conservation genetics and ecology. Hydrobiologia 644, 69–88. https://doi.org/10.1007/s10750-010-0190-2 (2010).Lopes-Lima, M. et al. Conservation status of freshwater mussels in Europe: State of the art and future challenges. Biol. Rev. 92, 572–607. https://doi.org/10.1111/brv.12244 (2017).Article 
    PubMed 

    Google Scholar 
    Outeiro, A., Ondina, P., Fernández, C., Amaro, R. & Miguel, E. S. Population density and age structure of the freshwater Pearl mussel, Margaritifera margaritifera, in two Iberian rivers. Freshw. Biol. 53, 485–496. https://doi.org/10.1111/j.1365-2427.2007.01913.x (2008).CAS 
    Article 

    Google Scholar 
    Clements, E. A., Thomas, R. & Adams, C. E. An investigation of salmonid host utilisation by the endangered freshwater pearl mussel (Margaritifera margaritifera) in north-west Scotland. Aquat. Conserv.: Mar. Freshw. Ecosyst. 28, 764–768. https://doi.org/10.1002/aqc.2900 (2018).Taeubert, J-E. & Geist, J. The relationship between the Freshwater Pearl Mussel (Margaritifera margaritifera) and its hosts. Biol. Bull. 44, 67–73. https://doi.org/10.1134/S1062359017010149 (2017).Sousa, R. et al. Conservation status of the freshwater pearl mussel Margaritifera margaritifera in Portugal. Limnologica 50, 4–10. https://doi.org/10.1016/j.limno.2014.07.004 (2015).Article 

    Google Scholar 
    Almodóvar, A., Nicola, G. G., Ayllón, D. & Elvira, B. Global warming threatens the persistence of Mediterranean brown trout. Glob. Change Biol. 18, 1549–1560. https://doi.org/10.1111/j.1365-2486.2011.02608.x (2012).ADS 
    Article 

    Google Scholar 
    Nicola, G. G., Elvira, B., Johnson, B., Ayllón, D. & Almodóvar, A. Local and global climatic drivers of Atlantic salmon decline in southern Europe. Fish. Res. 198, 78–85. https://doi.org/10.1016/j.fishres.2017.10.012 (2018).Article 

    Google Scholar 
    da Silva, J. P. et al. Predicting climatic threats to an endangered freshwater mussel in Europe: The need to account for fish hosts. Freshw. Biol. 00, 1–15. https://doi.org/10.1111/fwb.13885 (2022).Article 

    Google Scholar 
    Strayer, D. L., Geist, J., Haag, W. R., Jackson, J. K. & Newbold, J. D. Essay: Making the most of recent advances in freshwater mussel propagation and restoration. Conserv. Sci. Pract. 43, e53. https://doi.org/10.1111/csp2.53 (2009).Article 

    Google Scholar 
    Geist, J., Bayerl, H., Stoeckle, B. C. & Kuehn, R. Securing genetic integrity in freshwater pearl mussel propagation and captive breeding. Sci. Rep. 11, 16019. https://doi.org/10.1038/s41598-021-95614-2 (2021).ADS 
    CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Gomes dos Santos, A. et al. The Crown Pearl: a draft genome assembly of the European freshwater pearl mussel Margaritifera margaritifera (Linnaeus, 1758). DNA Res. 28, dsab002. https://doi.org/10.1093/dnares/dsab002 (2021).Bouza, C. et al. Threatened freshwater pearl mussel Margaritifera margaritifera L. in NW Spain: low and very structured genetic variation in southern peripheral assessed using microsatellite markers. Conserv. Genet. 8: 937–948. https://doi.org/10.1007/s10592-006-9248-0 (2007).Stoeckle, B. C. et al. Strong genetic differentiation and low genetic diversity of the freshwater pearl mussel (Margaritifera margaritifera L.) in the southwestern European distribution range. Conserv. Genet. 18, 147–157. https://doi.org/10.1007/s10592-016-0889-3 (2017).Geist, J., Söderberg, H., Karllberg, A. & Kuehn, R. Drainage-independent genetic structure and high genetic diversity of endangered freshwater pearl mussels (Margaritifera margaritifera) in northern Europe. Conserv. Genet. 11, 1339–1350. https://doi.org/10.1007/s10592-009-9963-4 (2010).Article 

    Google Scholar 
    implications for conservation and management. Geist, J. & Kuehn, R. Genetic diversity and differentiation of central European freshwater pearl mussel (Margaritifera margaritifera L.) populations. Mol. Ecol. 14, 239–425. https://doi.org/10.1111/j.1365-294X.2004.02420.x (2005).CAS 
    Article 

    Google Scholar 
    Farrington, S. J., King, R. W., Baker, J. A. & Gibbons, J. G. Population genetics of freshwater pearl mussel (Margaritifera margaritifera) in central Massachusetts and implications for conservation. Aquat. Conserv.: Mar. Freshw. Ecosyst. 30, 1945–1958. https://doi.org/10.1002/aqc.3439 (2020).Zanatta, D. T. et al. High genetic diversity and low differentiation in North American Margaritifera margaritifera (Bivalvia: Unionida: Margaritiferidae). Biol. J. Linn. Soc. Lond., 123, 850–863. https://doi.org/10.1093/biolinnean/bly010. (2018)Garrison, N. L., Johnson, P. D. & Whelan, N. V. Conservation genomics reveals low genetic diversity and multiple parentage in the threatened freshwater mussel Margaritifera hembeli. Conser. Genet. 22, 217–231. https://doi.org/10.1007/s10592-020-01329-8 (2021).Article 

    Google Scholar 
    Roe, K. & Kim, K. S. Genome-wide SNPs redefine species-boundaries and conservation units in the freshwater mussel genus Cyprogenia of North America. Sci. Rep. 11, 10752. https://doi.org/10.1038/s41598-021-90325-0 (2021).CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Wingett, S. W. & Andrews, S. FastQ Screen: A tool for multi-genome mapping and quality control. F1000Res 7, 1338. https://doi.org/10.12688/f1000research.15931.2 (2018).Ewels, P., Magnusson, M., Lundin, S. & Käller, M. MultiQC: Summarize analysis results for multiple tools and samples in a single report. Bioinformatics 32, 3047–3048. https://doi.org/10.1093/bioinformatics/btw354 (2016).CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Rochette, N. C., Rivera-Colón, A. G. & Catchen, J. M. Stacks 2: Analytical methods for paired-end sequencing improve RADseq-based population genomics. Mol. Ecol. 28, 4737–4754. https://doi.org/10.1111/mec.15253 (2019).CAS 
    Article 
    PubMed 

    Google Scholar 
    Paris, R. J., Stevens, J. R. & Catchen, J. M. Lost in parameter space: A road map for STACKS. Methods Ecol. Evol. 8, 1360–1373. https://doi.org/10.1111/2041-210X.12775 (2017).Article 

    Google Scholar 
    Limin, F., Niu, B., Zhu, Z., Wu, S. & Li, W. CD-HIT: Accelerated for clustering the next-generation sequencing data. Bioinformatics 28, 3150–3152. https://doi.org/10.1093/bioinformatics/bts565 (2012).CAS 
    Article 

    Google Scholar 
    Li, H. Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM. arXiv:1303.3997v2. https://doi.org/10.48550/arXiv.1303.3997 (2013).Li, H. et al. The sequence alignment/map format and SAMtools. Bioinformatics 25, 2078–2079. https://doi.org/10.1093/bioinformatics/btp352 (2009).CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Garrison E, Marth G. Haplotype-based variant detection from short-read sequencing. arXiv:1207.3907v2. https://doi.org/10.48550/arXiv.1207.3907 (2012)Danecek, P. et al. The variant call format and VCFtools. Bioinformatics 27, 2156–2158. https://doi.org/10.1093/bioinformatics/btr330 (2011).CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Excoffier, L. & Lischer, H. E. L. Arlequin suite ver 3.5: A new series of programs to perform population genetics analyses under Linux and Windows. Mol. Ecol. Resour. 10, 564–567. https://doi.org/10.1111/j.1755-0998.2010.02847.x (2010).Weir, B. S. & Cockerham, C. Estimating F-statistics for the analysis of population structure. Evol. 38, 1358–1370. https://doi.org/10.2307/2408641 (1984).CAS 
    Article 

    Google Scholar 
    Frichot, E. & François, O. LEA: An R package for landscape and ecological association studies. Methods Ecol. Evol. 6, 925–929. https://doi.org/10.1111/2041-210X.12382 (2015).Article 

    Google Scholar 
    Alexander, D. H, Novembre, J. & Lange, K. Fast model-based estimation of ancestry in unrelated individuals. Genome Res. 19, 1655–1664. https://doi.org/10.1101/gr.094052.109 (2009).Jakobsson, M. & Rosenberg, N. A. CLUMPP: A cluster matching and permutation program for dealing with label switching and multimodality in analysis of population structure. Bioinformatics 23, 1801–1806. https://doi.org/10.1093/bioinformatics/btm233 (2007).CAS 
    Article 
    PubMed 

    Google Scholar 
    Frankham, R. et al. A practical guide for genetic management of fragmented animal and plant populations. Oxford University Press, New York. 174. https://doi.org/10.1093/oso/9780198783411.001.0001 (2019).Wacker, S., Larson, B., Jakobsen, P. & Karlssona, S. Multiple paternity promotes genetic diversity in captive breeding of a freshwater mussel. Glob. Ecol. Cons. 17, e00564. https://doi.org/10.1016/j.gecco.2019.e00564 (2019).Article 

    Google Scholar 
    Cao, R. et al. Genetic structure and diversity of Australian freshwater crocodiles (Crocodylus johnstoni) from the Kimberley Western Australia. Conserv. Genet. 21, 421–429. https://doi.org/10.1007/s10592-020-01259-5 (2020).Article 

    Google Scholar 
    Escalante, M. A. et al. Genotyping-by-sequencing reveals the effects of riverscape, climate and interspecific introgression on the genetic diversity and local adaptation of the endangered Mexican Golden trout (Oncorhynchus chrysogaster). Conserv. Genet. 21, 907–926. https://doi.org/10.1371/journal.pone.0141775 (2020).CAS 
    Article 

    Google Scholar 
    Bauer, G. Reproductive strategy of the freshwater pearl mussel Margaritifera margaritifera. J. Anim. Ecol. 56, 691–704. https://doi.org/10.2307/5077 (1987).Article 

    Google Scholar 
    Machordom, A., Araujo, R., Erpenbeck, D. & Ramos, M. A. Phylogeography and conservation genetics of endangered European Margaritiferidae (Bibalvia: Unionoidae). Biol. J. Linn. Soc. 78, 235–252. https://doi.org/10.1046/j.1095-8312.2003.00158.x (2003).Article 

    Google Scholar 
    Viveen, W., Schoorl, J. M., Veldkamp, A., van Balen, R. T. & Vidal-Romani, J. R. Fluvial terraces of the northwest Iberian lower Miño River. J. Maps 9, 513–522. https://doi.org/10.1080/17445647.2013.821096 (2013).Article 

    Google Scholar 
    Pérez-Granados, C., López-Iborra, G. & Seoane, J. A multi-scale analysis of habitat selection in peripheral populations of the endangered Dupont’s Lark Chersophilus duponti. Bird Conserv. Intern. 27, 398–413. https://doi.org/10.1017/S0959270916000356 (2017).Article 

    Google Scholar 
    Sanz Ball-Llosera, N., Garcìa-Marìn, J. & Pla, C. Managing fish populations under mosaic relationships. The case of brown trout (Salmo trutta) in peripheral Mediterranean populations. Conserv. Genet. 3, 385–400. https://doi.org/10.1023/A:1020527420654 (2002).Vila, M. et al. Phylogeography and Conservation Genetics of the Ibero-Balearic Three-Spined Stickleback (Gasterosteus aculeatus). PLoS One 12, e0170685. https://doi.org/10.1371/journal.pone.0170685 (2017)Hamed, Y. et al. Climate impacto n Surface and groundwater in North Africa: A global synthesis of findings and recommendations. Euro-Mediterr. J. Environ. Integr. 3, 25. https://doi.org/10.1007/s41207-018-0067-8 (2018).Article 

    Google Scholar 
    Krijgsman, W. et al. The Gibraltar Corridor: Watergate of the Messinian Salinity Crisis. Mar. Geol. 403, 238–246. https://doi.org/10.1016/j.margeo.2018.06.008 (2018).ADS 
    Article 

    Google Scholar 
    Zanatta, D. T. & Wilson, C. C. Testing congruency of geographic and genetic population structure for a freshwater mussel Bivalvia: Unionoida) and its host fish. Biol. J. Linn. Soc. 102, 669–685. https://doi.org/10.1111/j.1095-8312.2010.01596.x (2011).Article 

    Google Scholar 
    Österling, E. M., Ferm, J. & Piccolo, J.J. Parasitic freshwater pearl mussel larvae (Margaritifera margaritifera L.) reduce the drift-feeding rate of juvenile brown trout (Salmo trutta L.). Environ. Biol. Fish. 97, 543–549. https://doi.org/10.1007/s10641-014-0251-x (2014).Geist, J. et al. Genetic structure of Irish freshwater pearl mussels (Margaritifera margaritifera and Margaritifera durrovensis): Validity of subspecies, roles of host fish, and conservation implications. Aquat. Conserv. Mar. Freshw. Ecosyst. 28, 923–933. https://doi.org/10.1002/aqc.2913 (2018)Wacker, S., Larsen, B. M., Karlsson, S. & Hindar, K. Host specificity drives genetic structure in a freshwater mussel. Sci. Rep. 9, 10409 (2019).Machordom, A., Suárez, J., Almodóvar, A. & Bautista, J. Mitochondrial haplotype variation and phylogeography of Iberian brown trout populations. Mol. Ecol. 9, 1325–1338. https://doi.org/10.1046/j.1365-294x.2000.01015.x (2000).CAS 
    Article 

    Google Scholar 
    Suárez, J., Bautista, J. M., Almodóvar, A. & Machordom, A. Evolution of the mitocondrial control region in Paleartic brown trout (Salmo trutta) populations: The biogeographical role of the Iberian Peninsula. Heredity 87, 198–206. https://doi.org/10.1046/j.1365-2540.2001.00905.x (2001).Article 
    PubMed 

    Google Scholar 
    Velasco, J. C. et al. Descubiertos algunos ejemplares de Margaritifera margaritifera (L.) (Bivalvia, Unionoida) en el alto Duero (Soria, España). Iberus 32(2), 97–104 (2014).Geist, J. & Kuehn, R. Host-parasite interactions in oligotrophic stream ecosystems: the roles of life history strategy and ecological niche. Mol. Ecol. 17, 997–1008. https://doi.org/10.1111/j.1365-294X.2007.03636.x. (2008)Ledoux, J.-B., et al. Gradients of genetic diversity and differentiation across the distribution range of a Mediterranean coral: Patterns, processes and conservation implications. Divers. Distrib. 27, 2104–2123 https://doi.org/10.1111/ddi.13382 (2021).Hervella F, & Caballero P. Inventario piscícola dos ríos galegos. Consellería de Medio Ambiente. Xunta de Galicia. Santiago de Compostela (1999).Saura, M., Caballero, P. & Morán, P. Are there Atlantic salmon in the River Tambre?. J. Fish Biol. 72, 1223–1229. https://doi.org/10.1111/j.1095-8649.2007.01782.x (2008).Article 

    Google Scholar 
    Hoban, S. et al. Genetic diversity targets and indicators in the CBD post-2020 global biodiversity framework must be improved. Biol. Conserv. 248, 108654. https://doi.org/10.1016/j.biocon.2020.108654 (2020).Article 

    Google Scholar 
    Rilov, G. et al. Adaptive marine conservation planning in the face of climate change: What can we learn from physiological, ecological and genetic studies?. Glob. Ecol. Conserv. 17, e00566. https://doi.org/10.1016/j.gecco.2019.e00566 (2019).Article 

    Google Scholar 
    Muniz, F. L. et al. Delimitation of evolutionary units in Cuvier’s dwarf caiman, Paleosuchus palpebrosus (Cuvier, 1807): Insights from conservation of a broadly distributed species. Conserv. Genet. 19, 599–610. https://doi.org/10.1007/s10592-017-1035-6 (2018).Article 

    Google Scholar 
    Gum, B., Lange, M. & Geist, J. A critical reflection on the success of rearing and culturing of juvenile freshwater mussels with a focus on the endangered freshwater pearl mussel (Margaritifera margaritifera L.). Aquat. Conserv. 21, 743–751. https://doi.org/10.1002/aqc.1222 (2011).Thomas, G. R., Taylor, J. & García de Leaniz, C. Captive breeding of the endangered freshwater Pearl mussel Margaritifera margaritifera. Endanger. Species Res. 12, 1–9. https://doi.org/10.3354/esr00286 (2010).Wilson, C. D. et al. The importance of population genetic information in formulating ex situ conservation strategies for the freshwater pearl mussel (Margaritifera margaritifera L.) in Northern Ireland. Anim. Conserv. 15, 595–602. https://doi.org/10.1111/j.1469-1795.2012.00553.x (2012).Pires, D., Reis, J., Benites, L. & Rodrigues, P. Minimizing dams impacts on biodiversity by way of translocations: the case of freshwater mussels. Impact Assess. Proj. Apprais. 39, 110–117. https://doi.org/10.1080/14615517.2020.1836710. (2021) More

  • in

    Temporal variation in the prokaryotic community of a nearshore marine environment

    Bunse, C. & Pinhassi, J. Marine bacterioplankton seasonal succession dynamics. Trends Microbiol. 25, 494–505. https://doi.org/10.1016/j.tim.2016.12.013 (2017).CAS 
    Article 
    PubMed 

    Google Scholar 
    Mestre, M., Höfer, J., Sala, M. M. & Gasol, J. M. Seasonal variation of bacterial diversity along the marine particulate matter continuum. Front. Microbiol. 11, 1590. https://doi.org/10.3389/fmicb.2020.01590 (2020).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Teeling, H. et al. Substrate-controlled succession of marine bacterioplankton populations induced by a phytoplankton bloom. Science 336, 608–611. https://doi.org/10.1126/science.1218344 (2012).ADS 
    CAS 
    Article 
    PubMed 

    Google Scholar 
    Gilbert, J. A. et al. The seasonal structure of microbial communities in the Western English Channel. Environ. Microbiol. 11, 3132–3139. https://doi.org/10.1111/j.1462-2920.2009.02017.x (2009).CAS 
    Article 
    PubMed 

    Google Scholar 
    Sintes, E., Witte, H., Stodderegger, K., Steiner, P. & Herndl, G. J. Temporal dynamics in the free-living bacterial community composition in the coastal North Sea. FEMS Microbiol. Ecol. 83, 413–424. https://doi.org/10.1111/1574-6941.12003 (2013).CAS 
    Article 
    PubMed 

    Google Scholar 
    Lindh, M. V. et al. Disentangling seasonal bacterioplankton population dynamics by high-frequency sampling. Environ. Microbiol. 17, 2459–2476. https://doi.org/10.1111/1462-2920.12720 (2015).Article 
    PubMed 

    Google Scholar 
    El-Swais, H., Dunn, K. A., Bielawski, J. P., Li, W. K. W. & Walsh, D. A. Seasonal assemblages and short-lived blooms in coastal north-west Atlantic Ocean bacterioplankton. Environ. Microbiol. 17, 3642–3661. https://doi.org/10.1111/1462-2920.12629 (2015).CAS 
    Article 
    PubMed 

    Google Scholar 
    Ward, C. S. et al. Annual community patterns are driven by seasonal switching between closely related marine bacteria. ISME J. 11, 1412–1422. https://doi.org/10.1038/ismej.2017.4 (2017).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Teeling, H. et al. Recurring patterns in bacterioplankton dynamics during coastal spring algae blooms. Elife 5, e11888. https://doi.org/10.7554/eLife.11888 (2016).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Tinta, T. et al. Bacterial community shift is induced by dynamic environmental parameters in a changing coastal ecosystem (northern Adriatic, northeastern Mediterranean Sea) – a 2-year time-series study. Environ. Microbiol. 17, 3581–3596. https://doi.org/10.1111/1462-2920.12519 (2015).CAS 
    Article 
    PubMed 

    Google Scholar 
    Salter, I. et al. Seasonal dynamics of active SAR11 ecotypes in the oligotrophic Northwest Mediterranean Sea. ISME J. 9, 347–360. https://doi.org/10.1038/ismej.2014.129 (2015).CAS 
    Article 
    PubMed 

    Google Scholar 
    Gilbert, J. A. et al. Defining seasonal marine microbial community dynamics. ISME J. 6, 298–308. https://doi.org/10.1038/ismej.2011.107 (2012).CAS 
    Article 
    PubMed 

    Google Scholar 
    Alonso-Sáez, L. et al. Seasonality in bacterial diversity in north-west Mediterranean coastal waters: Assessment through clone libraries, fingerprinting and FISH. FEMS Microbiol. Ecol. 60, 98–112. https://doi.org/10.1111/j.1574-6941.2006.00276.x (2007).CAS 
    Article 
    PubMed 

    Google Scholar 
    Alonso-Sáez, L., Díaz-Pérez, L. & Morán, X. A. G. The hidden seasonality of the rare biosphere in coastal marine bacterioplankton. Environ. Microbiol. 17, 3766–3780. https://doi.org/10.1111/1462-2920.12801 (2015).Article 
    PubMed 

    Google Scholar 
    Needham, D. M. & Fuhrman, J. A. Pronounced daily succession of phytoplankton, archaea and bacteria following a spring bloom. Nat. Microbiol. 1, 1–7. https://doi.org/10.1038/nmicrobiol.2016.5 (2016).CAS 
    Article 

    Google Scholar 
    Fuhrman, J. A., Cram, J. A. & Needham, D. M. Marine microbial community dynamics and their ecological interpretation. Nat. Rev. Microbiol. 13, 133–146. https://doi.org/10.1038/nrmicro3417 (2015).CAS 
    Article 
    PubMed 

    Google Scholar 
    Najdek, M. et al. Dynamics of environmental conditions during the decline of a Cymodocea nodosa meadow. Biogeosciences 17, 3299–3315. https://doi.org/10.5194/bg-17-3299-2020 (2020).ADS 
    CAS 
    Article 

    Google Scholar 
    Najdek, M. et al. Effects of the invasion of Caulerpa cylindracea in a Cymodocea nodosa meadow in the Northern Adriatic Sea. Front. Mar. Sci. 7, 602055. https://doi.org/10.3389/fmars.2020.602055 (2020).Article 

    Google Scholar 
    Ladau, J. et al. Global marine bacterial diversity peaks at high latitudes in winter. ISME J. 7, 1669–1677. https://doi.org/10.1038/ismej.2013.37 (2013).CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    García, F. C., Alonso-Sáez, L., Morén, X. A. G. & López-Urrutia, Á. Seasonality in molecular and cytometric diversity of marine bacterioplankton: The re-shuffling of bacterial taxa by vertical mixing. Environ. Microbiol. 17, 4133–4142. https://doi.org/10.1111/1462-2920.12984 (2015).Article 
    PubMed 

    Google Scholar 
    Reinthaler, T., Winter, C. & Herndl, G. J. Relationship between bacterioplankton richness, respiration, and production in the southern North Sea. Appl. Environ. Microbiol. 71, 2260–2266. https://doi.org/10.1128/AEM.71.5.2260-2266.2005 (2005).ADS 
    CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Mozetič, P. et al. Recent trends towards oligotrophication of the Northern Adriatic: Evidence from chlorophyll a time series. Estuaries Coast 33, 362–375. https://doi.org/10.1007/s12237-009-9191-7 (2010).CAS 
    Article 

    Google Scholar 
    Manna, V., De Vittor, C., Giani, M., Del Negro, P. & Celussi, M. Long-term patterns and drivers of microbial organic matter utilization in the northernmost basin of the Mediterranean Sea. Mar. Environ. Res. 164, 105245. https://doi.org/10.1016/j.marenvres.2020.105245 (2021).CAS 
    Article 
    PubMed 

    Google Scholar 
    Ivančić, I. et al. Long-term changes in heterotrophic prokaryotes abundance and growth characteristics in the northern Adriatic Sea. J. Mar. Syst. 82, 206–216. https://doi.org/10.1016/j.jmarsys.2010.05.008 (2010).Article 

    Google Scholar 
    Bowman, J. P. The family Cryomorphaceae. In The Prokaryotes: Other Major Lineages of Bacteria and the Archaea (eds Rosenberg, E. et al.) (Springer, New York, 2014). https://doi.org/10.1007/978-3-642-38954-2_135.Chapter 

    Google Scholar 
    Ngugi, D. K. & Stingl, U. High-quality draft single-cell genome sequence of the NS5 marine group from the coastal Red Sea. Genome Announc. 6, e00565-18. https://doi.org/10.1128/genomeA.00565-18 (2018).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Korlević, M., Pop Ristova, P., Garić, R., Amann, R. & Orlić, S. Bacterial diversity in the South Adriatic Sea during a strong, deep winter convection year. Appl. Environ. Microbiol. 81, 1715–1726; https://doi.org/10.1128/AEM.03410-14 (2015).Korlević, M. et al. Bacterial diversity across a highly stratified ecosystem: A salt-wedge Mediterranean estuary. Syst. Appl. Microbiol. 39, 398–408. https://doi.org/10.1016/j.syapm.2016.06.006 (2016).Article 
    PubMed 

    Google Scholar 
    Hoarfrost, A. et al. Global ecotypes in the ubiquitous marine clade SAR86. ISME J. 14, 178–188. https://doi.org/10.1038/s41396-019-0516-7 (2020).CAS 
    Article 
    PubMed 

    Google Scholar 
    Šilović, T., Balagué, V., Orlić, S. & Pedrós-Alió, C. Picoplankton seasonal variation and community structure in the northeast Adriatic coastal zone. FEMS Microbiol. Ecol. 82, 678–691. https://doi.org/10.1111/j.1574-6941.2012.01438.x (2012).CAS 
    Article 
    PubMed 

    Google Scholar 
    Palenik, B. et al. The genome of a motile marine Synechococcus. Nature 424, 1037–1042. https://doi.org/10.1038/nature01943 (2003).ADS 
    CAS 
    Article 
    PubMed 

    Google Scholar 
    Spring, S. & Riedel, T. Mixotrophic growth of bacteriochlorophyll a-containing members of the OM60/NOR5 clade of marine gammaproteobacteria is carbon-starvation independent and correlates with the type of carbon source and oxygen availability. BMC Microbiol. 13, 117. https://doi.org/10.1186/1471-2180-13-117 (2013).CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Durham, B. P. et al. Draft genome sequence of marine alphaproteobacterial strain HIMB11, the first cultivated representative of a unique lineage within the Roseobacter clade possessing an unusually small genome. Stand. Genomic Sci. 9, 632–645. https://doi.org/10.4056/sigs.4998989 (2014).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Carlson, C. A. et al. Seasonal dynamics of SAR11 populations in the euphotic and mesopelagic zones of the northwestern Sargasso Sea. ISME J. 3, 283–295. https://doi.org/10.1038/ismej.2008.117 (2009).CAS 
    Article 
    PubMed 

    Google Scholar 
    Vergin, K. L. et al. High-resolution SAR11 ecotype dynamics at the Bermuda Atlantic Time-series study site by phylogenetic placement of pyrosequences. ISME J. 7, 1322–1332. https://doi.org/10.1038/ismej.2013.32 (2013).CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Kim, J.-G. et al. Distinct temporal dynamics of planktonic archaeal and bacterial assemblages in the bays of the Yellow Sea. PLoS One 14, e0221408. https://doi.org/10.1371/journal.pone.0221408 (2019).CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Bayer, B. et al. Nitrosopumilus adriaticus sp. nov. and Nitrosopumilus piranensis sp. nov., two ammonia-oxidizing archaea from the Adriatic Sea and members of the class Nitrososphaeria. Int. J. Syst. Evol. Microbiol. 69, 1892–1902. https://doi.org/10.1099/ijsem.0.003360 (2019).CAS 
    Article 
    PubMed 

    Google Scholar 
    Strickland, J. D. H. & Parsons, T. R. A Practical Handbook of Seawater Analysis vol. 167 (Fisheries Research Board of Canada, 1972).Holm-Hansen, O., Lorenzen, C. J., Holmes, R. W. & Strickland, J. D. H. Fluorometric determination of chlorophyll. ICES J. Mar. Sci. 30, 3–15. https://doi.org/10.1093/icesjms/30.1.3 (1965).CAS 
    Article 

    Google Scholar 
    Porter, K. G. & Feig, Y. S. The use of DAPI for identifying and counting aquatic microflora. Limnol. Oceanogr. 25, 943–948. https://doi.org/10.4319/lo.1980.25.5.0943 (1980).ADS 
    Article 

    Google Scholar 
    Massana, R., Murray, A. E., Preston, C. M. & DeLong, E. F. Vertical distribution and phylogenetic characterization of marine planktonic Archaea in the Santa Barbara Channel. Appl. Environ. Microbiol. 63, 50–56. https://doi.org/10.1128/aem.63.1.50-56.1997 (1997).ADS 
    CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Korlević, M., Markovski, M., Zhao, Z., Herndl, G. J. & Najdek, M. Selective DNA and protein isolation from marine macrophyte surfaces. Front. Microbiol. 12, 665999. https://doi.org/10.3389/fmicb.2021.665999 (2021).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Caporaso, J. G. et al. Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms. ISME J. 6, 1621–1624. https://doi.org/10.1038/ismej.2012.8 (2012).CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Apprill, A., McNally, S., Parsons, R. & Weber, L. Minor revision to V4 region SSU rRNA 806R gene primer greatly increases detection of SAR11 bacterioplankton. Aquat. Microb. Ecol. 75, 129–137. https://doi.org/10.3354/ame01753 (2015).Article 

    Google Scholar 
    Parada, A. E., Needham, D. M. & Fuhrman, J. A. Every base matters: Assessing small subunit rRNA primers for marine microbiomes with mock communities, time series and global field samples. Environ. Microbiol. 18, 1403–1414. https://doi.org/10.1111/1462-2920.13023 (2016).CAS 
    Article 
    PubMed 

    Google Scholar 
    Korlević, M., Markovski, M., Zhao, Z., Herndl, G. J. & Najdek, M. Seasonal dynamics of epiphytic microbial communities on marine macrophyte surfaces. Front. Microbiol. 12, 671342. https://doi.org/10.3389/fmicb.2021.671342 (2021).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Schloss, P. D. et al. Introducing mothur: Open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl. Environ. Microbiol. 75, 7537–7541. https://doi.org/10.1128/AEM.01541-09 (2009).ADS 
    CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Kozich, J. J., Westcott, S. L., Baxter, N. T., Highlander, S. K. & Schloss, P. D. Development of a dual-index sequencing strategy and curation pipeline for analyzing amplicon sequence data on the MiSeq Illumina sequencing platform. Appl. Environ. Microbiol. 79, 5112–5120. https://doi.org/10.1128/AEM.01043-13 (2013).ADS 
    CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Quast, C. et al. The SILVA ribosomal RNA gene database project: Improved data processing and web-based tools. Nucleic Acids Res. 41, D590–D596. https://doi.org/10.1093/nar/gks1219 (2013).CAS 
    Article 
    PubMed 

    Google Scholar 
    Yilmaz, P. et al. The SILVA and “All-species Living Tree Project (LTP)” taxonomic frameworks. Nucleic Acids Res. 42, D643–D648. https://doi.org/10.1093/nar/gkt1209 (2014).CAS 
    Article 
    PubMed 

    Google Scholar 
    Schloss, P. D., Jenior, M. L., Koumpouras, C. C., Westcott, S. L. & Highlander, S. K. Sequencing 16S rRNA gene fragments using the PacBio SMRT DNA sequencing system. PeerJ 4, e1869. https://doi.org/10.7717/peerj.1869 (2016).CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    R Core Team. R: A language and environment for statistical computing (R Foundation for Statistical Computing, 2021).Oksanen, J. et al. vegan: Community ecology package (2020).Wickham, H. et al. Welcome to the tidyverse. J. Open Source Softw. 4, 1686; https://doi.org/10.21105/joss.01686 (2019)McKinnon Edwards, S. lemon: Freshing up your ’ggplot2’ plots (2020).Wilke, C. O. cowplot: Streamlined plot theme and plot annotations for ’ggplot2’ (2020).Neuwirth, E. RColorBrewer: ColorBrewer palettes (2014).Zhu, H. kableExtra: Construct complex table with ’kable’ and pipe syntax (2021).Allaire, J. et al. rmarkdown: Dynamic documents for R (2021).Xie, Y., Allaire, J. J. & Grolemund, G. R Markdown: The Definitive Guide (Chapman and Hall/CRC, New York, 2018).Book 

    Google Scholar 
    Xie, Y., Dervieux, C. & Riederer, E. R Markdown Cookbook (Chapman and Hall/CRC, New York, 2020).Book 

    Google Scholar 
    Xie, Y. knitr: A general-purpose package for dynamic report generation in R (2021).Xie, Y. & knitr, A comprehensive tool for reproducible research in R. In Implementing Reproducible Computational Research (eds Stodden, V. et al.) (Chapman and Hall/CRC, New York, 2014).Xie, Y. Dynamic Documents with R and knitr (Chapman and Hall/CRC, New York, 2015).
    Google Scholar 
    Xie, Y. tinytex: Helper functions to install and maintain TeX Live, and compile LaTeX documents (2021).Xie, Y. TinyTeX: A lightweight, cross-platform, and easy-to-maintain LaTeX distribution based on TeX Live. TUGboat 40, 30–32 (2019).CAS 

    Google Scholar 
    Jost, L. Entropy and diversity. Oikos 113, 363–375. https://doi.org/10.1111/j.2006.0030-1299.14714.x (2006).Article 

    Google Scholar 
    Borcard, D., Gillet, F. & Legendre, P. Numerical Ecology with R (Springer, New York, 2018). https://doi.org/10.1007/978-3-319-71404-2.Book 
    MATH 

    Google Scholar 
    Legendre, P. & Legendre, L. Numerical Ecology (Elsevier, Amsterdam, 2012).MATH 

    Google Scholar  More

  • in

    Ancient DNA provides insights into 4,000 years of resource economy across Greenland

    Raghavan, M. et al. The genetic prehistory of the New World Arctic. Science 345, 1255832 (2014).Meldgaard, M. Ancient Harp Seal Hunters of Disko Bay (Museum Tusculanum Press, 2004).Grønnow, B. & Jensen, J. F. The Northernmost Ruins of the Globe: Eigil Knuth’s Archaeological Investigations in Peary Land and Adjacent Areas of High Arctic Greenland (Museum Tusculanum Press, 2003).Jensen, J. F. in The Oxford Handbook of the Prehistoric Arctic (eds Friesen, T. M. & Mason, O.) 673–691 (Oxford Univ. Press, 2016). https://doi.org/10.1093/oxfordhb/9780199766956.013.56Buckland, P. C., Ski, A. M. A. Y. E. W., Mcgovern, T. H. & Ogilvie, A. E. J. Bioarchaeological and climatological evidence for the fate of Norse farmers in medieval Greenland. Antiquity 70, 88–96 (1996).Article 

    Google Scholar 
    Gulløv, H. C. Grønlands Forhistorie (Gyldendal, 2004).Friesen, T. M. & Arnold, C. D. The timing of the Thule migration: new dates from the Western Canadian. Soc. Am. Archaeol. 73, 527–538 (2008).
    Google Scholar 
    Moltke, I. et al. Uncovering the genetic history of the present-day Greenlandic population. Am. J. Hum. Genet. 96, 54–69 (2015).CAS 
    Article 

    Google Scholar 
    Gulløv, H. C. From Middle Ages to Colonial Times: Archaeological and Ethnohistorical Studies of the Thule Culture in South West Greenland 1300–1800 AD (Dansk Polar Center, 1997).Gulløv, H. C. et al. Danmark og Kolonierne: Grønland (Gads Forlag, 2017).Ameen, C. et al. Specialized sledge dogs accompanied Inuit dispersal across the North American Arctic. Proc. R. Soc. B 286, 20191929 (2019).Grønnow, B. et al. At the edge: High Arctic Walrus hunters during the Little Ice Age. Antiquity 85, 960–977 (2011).Article 

    Google Scholar 
    Fitzhugh, B. in The Oxford Handbook of the Prehistoric Arctic (eds Friesen, M. & Mason, O.) 253–278 (Oxford Univ. Press, 2016).Lyman, R. L. Vertebrate Taphonomy (Cambridge Univ. Press, 1994).Seersholm, F. V. et al. DNA evidence of bowhead whale exploitation by Greenlandic Paleo-Inuit 4000 years ago. Nat. Commun. 7, 13389 (2016). https://doi.org/10.1038/ncomms13389Betts, M. in The Oxford Handbook of the Prehistoric Arctic (eds Friesen, M. & Mason, O.) 81–108 (Oxford Univ. Press, 2016). https://doi.org/10.1093/oxfordhb/9780199766956.013.8Szpak, P. Fish bone chemistry and ultrastructure: implications for taphonomy and stable isotope analysis. J. Archaeol. Sci. 38, 3358–3372 (2011).Article 

    Google Scholar 
    Murray, D. C. et al. Scrapheap challenge: a novel bulk-bone metabarcoding method to investigate ancient DNA in faunal assemblages. Sci. Rep. 3, 3371 (2013).Article 

    Google Scholar 
    Møhl, J. in From Middle Ages to Colonial Times (ed. Gulløv, H. C.) 495–501 (Kommissionen for videnskabelige undersøgelser i Grønland, 1980).Møhl, U. Animal Bones from Itivnera, West Greenland: A Reindeer Hunting Site of the Sarqaq Culture (C. A. Reitzels Forlag, 1972).Stat, M. et al. Ecosystem biomonitoring with eDNA: metabarcoding across the tree of life in a tropical marine environment. Sci. Rep. 7, 12240 (2017).Article 

    Google Scholar 
    Arneborg, J. et al. Norse Greenland Dietary Economy ca. AD 980–ca. AD 1450: introduction. J. North Atl. S3, 1–39 (2012).
    Google Scholar 
    Whitridge, P. Zen fish: a consideration of the discordance between artifactual and zooarchaeological indicators of Thule Inuit fish use. J. Anthropol. Archaeol. 20, 3–72 (2001).Article 

    Google Scholar 
    Seersholm, F. V. et al. Rapid range shifts and megafaunal extinctions associated with late Pleistocene climate change. Nat. Commun. 11, 2770 (2020).Seersholm, F. V. et al. Ancient DNA preserved in small bone fragments from the P.W. Lund collection. Ecol. Evol. 11, 2064–2071 (2021).Article 

    Google Scholar 
    Wheeler, A. & Jones, A. K. J. Fishes (Cambridge Manuals in Archaeology) (Cambridge Univ. Press, 1989).Gotfredsen, A. B. Former occurrences of geese (Genera Anser and Branta) in ancient West Greenland: morphological and biometric approaches. Acta Zool. 45, 179–204 (2002).
    Google Scholar 
    Gotfredsen, A. B. & Møbjerg, T. Nipisat—A Saqqaq Culture Site in Sissimut, Central West Greenland (Museum Tusculanum Press, 2004).Bockstoce, J. R. On the development of whaling in the western Thule culture. Folk 18, 41–45 (1976).
    Google Scholar 
    Ferguson, S. H., Higdon, J. W., Hall, P. A., Hansen, R. G. & Doniol-Valcroze, T. Developing a precautionary management approach for the eastern Canada–west Greenland population of bowhead whales (Balaena mysticetus). Front. Mar. Sci. 8, 709989 (2021).Eschricht, D. F. Undersögelser over Hvaldyrene (Bianco Lunos Bogtrykkeri, 1846).Mikkelsen, N. et al. European trading, whaling and climate history of west Greenland documented by historical records, drones and marine sediments. Geol. Surv. Den. Greenl. Bull. 41, 67–70 (2018).
    Google Scholar 
    Borge, T., Bachmann, L., Bjørnstad, G. & Wiig, Ø. Genetic variation in Holocene bowhead whales from Svalbard. Mol. Ecol. 16, 2223–2235 (2007).CAS 
    Article 

    Google Scholar 
    LeDuc, R. G. Mitochondrial genetic variation in bowhead whales in the western Arctic. J. Cetacean Res. Manag. 10, 93–97 (2008).
    Google Scholar 
    McLeod, B. A. Examination of ten thousand years of mitochondrial DNA diversity and population demographics in bowhead whales (Balaena mysticetus) of the Central Canadian Arctic. Mar. Mammal. Sci. 28, 426–443 (2012).Article 

    Google Scholar 
    Foote, A. D. et al. Ancient DNA reveals that bowhead whale lineages survived Late Pleistocene climate change and habitat shifts. Nat. Commun. 4, 1677 (2013).Article 

    Google Scholar 
    Meldgaard, M. The Greenland Caribou—Zoogeography, Taxonomy, and Population Dynamics (Museum Tusculanum Press, 1986).Meldgaard, M. New perspectives on the zoogeography of the Greenlandic caribou (Rangifer tarandus). In Proc. 4th North American Caribou Workshop (eds Butler, C. & Mahoney, S. P.) 37–63 (Newfoundland and Labrador Wildlife Division, 1991).Solazzo, C., Fitzhugh, W., Kaplan, S., Potter, C. & Dyer, J. M. Molecular markers in keratins from Mysticeti whales for species identification of baleen in museum and archaeological collections. PLoS ONE 12, e0183053 (2017).Article 

    Google Scholar 
    Nowacek, D. P. et al. Buoyant balaenids: the ups and downs of buoyancy in right whales. Proc. R. Soc. B 268, 1811–1816 (2001).CAS 
    Article 

    Google Scholar 
    Hollesen, J. et al. Climate change and the deteriorating archaeological and environmental archives of the Arctic. Antiquity 92, 573–586 (2018).Article 

    Google Scholar 
    Hollesen, J. et al. Predicting the loss of organic archaeological deposits at a regional scale in Greenland. Sci. Rep. 9, 9097 (2019).Matthiesen, H., Høier Eriksen, A. M., Hollesen, J. & Collins, M. Bone degradation at five Arctic archaeological sites: quantifying the importance of burial environment and bone characteristics. J. Archaeol. Sci. 125, 105296 (2021).Seersholm, F. V. et al. Subsistence practices, past biodiversity, and anthropogenic impacts revealed by New Zealand-wide ancient DNA survey. Proc. Natl Acad. Sci. USA https://doi.org/10.1073/pnas.1803573115 (2018).Dabney, J. et al. Complete mitochondrial genome sequence of a Middle Pleistocene cave bear reconstructed from ultrashort DNA fragments. Proc. Natl Acad. Sci. USA 110, 15758–63 (2013).CAS 
    Article 

    Google Scholar 
    Boyer, F. et al. obitools: a unix-inspired software package for DNA metabarcoding. Mol. Ecol. Resour. 16, 176–182 (2016).CAS 
    Article 

    Google Scholar 
    Rognes, T., Flouri, T., Nichols, B., Quince, C. & Mahé, F. VSEARCH: a versatile open source tool for metagenomics. PeerJ 4, e2584 (2016).Article 

    Google Scholar 
    Altschul, S. F., Gish, W., Miller, W., Myers, E. W. & Lipman, D. J. Basic local alignment search tool. J. Mol. Biol. 215, 403–410 (1990).CAS 
    Article 

    Google Scholar 
    Dyke, A., Moore, A. & Robertson, L. Deglaciation of North America (Geological Survey of Canada, 2003).Dyke, A. S. An outline of North American deglaciation with emphasis on central and northern Canada. Dev. Quat. Sci. 2, 373–424 (2004).
    Google Scholar 
    Gansauge, M. & Meyer, M. Single-stranded DNA library preparation for the sequencing of ancient or damaged DNA. Nat. Protoc. 8, 737–748 (2013).Grealy, A. et al. Eggshell palaeogenomics: palaeognath evolutionary history revealed through ancient nuclear and mitochondrial DNA from Madagascan elephant bird (Aepyornis sp.) eggshell. Mol. Phylogenet. Evol. 109, 151–163 (2017).CAS 
    Article 

    Google Scholar 
    Lindgreen, S. AdapterRemoval: easy cleaning of next generation sequencing reads. BMC Res. Notes 5, 337 (2012).Article 

    Google Scholar 
    Langmead, B. & Salzberg, S. L. Fast gapped-read alignment with Bowtie 2. Nat. Methods 9, 357–359 (2012).CAS 
    Article 

    Google Scholar  More

  • in

    Silvopastoral systems and remnant forests enhance carbon storage in livestock-dominated landscapes in Mexico

    Song, X.-P. et al. Global land change from 1982 to 2016. Nature 560, 639–643 (2018).ADS 
    CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Houghton, R. A. & Nassikas, A. A. Global and regional fluxes of carbon from land use and land cover change 1850–2015. Glob. Biogeochem. Cycles 31, 456–472 (2017).ADS 
    CAS 
    Article 

    Google Scholar 
    Phelps, L. N. & Kaplan, J. O. Land use for animal production in global change studies: Defining and characterizing a framework. Glob. Change Biol. 23, 4457–4471 (2017).ADS 
    Article 

    Google Scholar 
    Curtis, P. G., Slay, C. M., Harris, N. L., Tyukavina, A. & Hansen, M. C. Classifying drivers of global forest loss. Science 361, 1108–1111 (2018).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Hong, C. et al. Global and regional drivers of land-use emissions in 1961–2017. Nature 589, 554–561 (2021).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Knorr, W., Prentice, I. C., House, J. & Holland, E. Long-term sensitivity of soil carbon turnover to warming. Nature 433, 298–301 (2005).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Shi, Z. et al. The age distribution of global soil carbon inferred from radiocarbon measurements. Nat. Geosci. 13, 555–559 (2020).ADS 
    CAS 
    Article 

    Google Scholar 
    Sanderman, J., Hengl, T. & Fiske, G. J. Soil carbon debt of 12,000 years of human land use. Proc. Natl. Acad. Sci. 114, 9575–9580 (2017).ADS 
    CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Lal, R. Soil carbon sequestration impacts on global climate change and food security. Science 304, 1623–1627 (2004).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Friedlingstein, P. et al. Global carbon budget 2020. Earth Syst. Sci. Data 12, 3269–3340 (2020).ADS 
    Article 

    Google Scholar 
    Yue, C., Ciais, P., Houghton, R. A. & Nassikas, A. A. Contribution of land use to the interannual variability of the land carbon cycle. Nat. Commun. 11, 1–11 (2020).Article 

    Google Scholar 
    Zomer, R. J. et al. Global tree cover and biomass carbon on agricultural land: The contribution of agroforestry to global and national carbon budgets. Sci. Rep. 6, 1–12 (2016).Article 

    Google Scholar 
    De Stefano, A. & Jacobson, M. G. Soil carbon sequestration in agroforestry systems: a meta-analysis. Agrofor. Syst. 92, 285–299 (2018).
    Google Scholar 
    Bossio, D. et al. The role of soil carbon in natural climate solutions. Nat. Sustain. 3, 391–398 (2020).Article 

    Google Scholar 
    England, J. R., O’Grady, A. P., Fleming, A., Marais, Z. & Mendham, D. Trees on farms to support natural capital: An evidence-based review for grazed dairy systems. Sci. Total Environ. 704, 135345 (2020).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Ma, Z., Chen, H. Y., Bork, E. W., Carlyle, C. N. & Chang, S. X. Carbon accumulation in agroforestry systems is affected by tree species diversity, age and regional climate: A global meta-analysis. Glob. Ecol. Biogeogr. 29, 1817–1828 (2020).Article 

    Google Scholar 
    FAOSTAT. Data/Inputs/land use. In: Food Agriculture Organization. http://www.fao.org/faostat/en/#data/RL. (2020). Accessed 12 Sept 2020.Shukla, P. R. et al. Climate Change and Land: an IPCC special report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystems. (Intergovernmental Panel on Climate Change, 2019).Galdino, S. et al. Large-scale modeling of soil erosion with RUSLE for conservationist planning of degraded cultivated Brazilian pastures. Land Degrad. Dev. 27, 773–784 (2016).Article 

    Google Scholar 
    Stanimirova, R. et al. Sensitivity of global pasturelands to climate variation. Earth’s Future 7, 1353–1366 (2019).ADS 
    Article 

    Google Scholar 
    Tolimir, M. et al. The conversion of forestland into agricultural land without appropriate measures to conserve SOM leads to the degradation of physical and rheological soil properties. Sci. Rep. 10, 1–12 (2020).Article 

    Google Scholar 
    Mendoza-Ponce, A., Corona-Núñez, R., Kraxner, F., Leduc, S. & Patrizio, P. Identifying effects of land use cover changes and climate change on terrestrial ecosystems and carbon stocks in Mexico. Glob. Environ. Change. 53, 12–23 (2018).Article 

    Google Scholar 
    Castillo-Santiago, M., Hellier, A., Tipper, R. & De Jong, B. Carbon emissions from land-use change: An analysis of causal factors in Chiapas, Mexico. Mitig. Adapt. Strat. Glob. Change 12, 1213–1235 (2007).Article 

    Google Scholar 
    Kolb, M. & Galicia, L. Scenarios and story lines: drivers of land use change in southern Mexico. Environ. Dev. Sustain. 20, 681–702 (2018).Article 

    Google Scholar 
    Aryal, D. R. et al. Biomass accumulation in forests with high pressure of fuelwood extraction in Chiapas, Mexico. Revista Árvore 42, e420307 (2018).Article 

    Google Scholar 
    Aryal, D. R. et al. Soil organic carbon depletion from forests to grasslands conversion in Mexico: A review. Agriculture 8, 181 (2018).CAS 
    Article 

    Google Scholar 
    Griscom, B. W. et al. Natural climate solutions. Proc. Natl. Acad. Sci. 114, 11645–11650 (2017).ADS 
    CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Chapman, M. et al. Large climate mitigation potential from adding trees to agricultural lands. Glob. Change Biol. 26, 4357–4365 (2020).ADS 
    Article 

    Google Scholar 
    Hayek, M. N., Harwatt, H., Ripple, W. J. & Mueller, N. D. The carbon opportunity cost of animal-sourced food production on land. Nat. Sustain. 4, 21–24 (2021).Article 

    Google Scholar 
    Kothandaraman, S., Dar, J. A., Sundarapandian, S., Dayanandan, S. & Khan, M. L. Ecosystem-level carbon storage and its links to diversity, structural and environmental drivers in tropical forests of Western Ghats, India. Sci. Rep. 10, 1–15 (2020).Article 

    Google Scholar 
    Havlík, P. et al. Climate change mitigation through livestock system transitions. Proc. Natl. Acad. Sci. 111, 3709–3714 (2014).ADS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Resende, L. O. et al. Silvopastoral management of beef cattle production for neutralizing the environmental impact of enteric methane emission. Agroforestry Syst. 94, 893–903 (2020).Article 

    Google Scholar 
    Sans, G. H. C., Verón, S. R. & Paruelo, J. M. Forest strips increase connectivity and modify forests’ functioning in a deforestation hotspot. J. Environ. Manage. 290, 112606 (2021).Article 

    Google Scholar 
    Searchinger, T. D., Wirsenius, S., Beringer, T. & Dumas, P. Assessing the efficiency of changes in land use for mitigating climate change. Nature 564, 249–253 (2018).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Lawson, G., Dupraz, C. & Watté, J. Can silvoarable systems maintain yield, resilience, and diversity in the face of changing environments? in Agroecosystem Diversity 145–168 (Elsevier, 2019).Ramakrishnan, S. et al. Silvopastoral system for resilience of key soil health indicators in semi-arid environment. Arch. Agron. Soil Sci. 67, 1834–1847 (2021).CAS 
    Article 

    Google Scholar 
    Gerber, P. J. et al. Tackling Climate Change Through Livestock: A Global Assessment of Emissions and Mitigation Opportunities (Food and Agriculture Organization of the United Nations (FAO), 2013).
    Google Scholar 
    Haberl, H. Method précis: Human appropriation of net primary production (HANPP). In Social Ecology. Society-Nature Relations across Time and Space (eds Haberl, H. et al.) 332–334 (Springer Nature, 2016).
    Google Scholar 
    Smith, P. et al. Global change pressures on soils from land use and management. Glob. Change Biol. 22, 1008–1028 (2016).ADS 
    Article 

    Google Scholar 
    Herrero, M. et al. Greenhouse gas mitigation potentials in the livestock sector. Nat. Clim. Change. 6, 452–461 (2016).ADS 
    Article 

    Google Scholar 
    Lorenz, K. & Lal, R. Soil organic carbon sequestration in agroforestry systems. A review. Agron. Sustain. Develop. 34, 443–454 (2014).CAS 
    Article 

    Google Scholar 
    Michalk, D. L. et al. Sustainability and future food security—A global perspective for livestock production. Land Degrad. Dev. 30, 561–573 (2019).Article 

    Google Scholar 
    Bardgett, R. D. et al. Combatting global grassland degradation. Nat. Rev. Earth Environ. 2, 720–735 (2021).ADS 
    Article 

    Google Scholar 
    Pinheiro, F. M., Nair, P. R., Nair, V. D., Tonucci, R. G. & Venturin, R. P. Soil carbon stock and stability under Eucalyptus-based silvopasture and other land-use systems in the Cerrado biodiversity hotspot. J. Environ. Manage. 299, 113676 (2021).CAS 
    PubMed 
    Article 

    Google Scholar 
    Jose, S., Walter, D. & Kumar, B. M. Ecological considerations in sustainable silvopasture design and management. Agrofor. Syst. 93, 317–331 (2019).Article 

    Google Scholar 
    Oldfield, E. E. et al. Crediting agricultural soil carbon sequestration. Science 375, 1222–1225 (2022).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Udawatta, R. P., Walter, D. & Jose, S. Carbon sequestration by forests and agroforests: A reality check for the United States. Carbon Footprints 1, 8 (2022).Article 

    Google Scholar 
    Adame-Castro, D. E. et al. Diurnal and seasonal variations on soil CO2 fluxes in tropical silvopastoral systems. Soil Use Manag. 36, 671–681 (2020).Article 

    Google Scholar 
    Contosta, A. R., Asbjornsen, H., Orefice, J., Perry, A. & Smith, R. G. Climate consequences of temperate forest conversion to open pasture or silvopasture. Agric. Ecosyst. Environ. 333, 107972 (2022).CAS 
    Article 

    Google Scholar 
    Vargas-Zeppetello, L. R. et al. Consistent cooling benefits of silvopasture in the tropics. Nat. Commun. 13, 1–9 (2022).
    Google Scholar 
    Casanova-Lugo, F. et al. Effect of tree shade on the yield of Brachiaria brizantha grass in tropical livestock production systems in Mexico. Rangel. Ecol. Manage. 80, 31–38 (2022).Article 

    Google Scholar 
    Valenzuela Que, F. G. et al. Silvopastoral systems improve carbon stocks at livestock ranches in Tabasco, Mexico. Soil Use Manag. 38, 1237–1249 (2022).Article 

    Google Scholar 
    Nair, P. R. Classification of agroforestry systems. Agrofor. Syst. 3, 97–128 (1985).Article 

    Google Scholar 
    Somarriba, E., Kass, D. & Ibrahim, M. Definition and classification of agroforestry systems. Agroforestry Prototypes for Belize. Agroforestry Project. CATIE (Tropical Agricultural Research and Higher Education Center), Costa rica 3 (1998).Schroth, G. et al. Agroforestry and Biodiversity Conservation in Tropical Landscapes (Island Press, 2004).
    Google Scholar 
    Harvey, C. A. et al. Patterns of animal diversity in different forms of tree cover in agricultural landscapes. Ecol. Appl. 16, 1986–1999 (2006).PubMed 
    Article 

    Google Scholar 
    Cardinael, R., Mao, Z., Chenu, C. & Hinsinger, P. Belowground functioning of agroforestry systems: Recent advances and perspectives. Plant Soil. 1–13 (2020).Ibrahim, M. & Beer, J. Agroforestry Prototypes for Belize Vol. 28 (CATIE, 1998).
    Google Scholar 
    Ibrahim, M., Villanueva, C., Casasola, F. & Rojas, J. Sistemas silvopastoriles como una herramienta para el mejoramiento de la productividad y restauración de la integridad ecológica de paisajes ganaderos. Pastos y Forrajes 29, 383–419 (2006).
    Google Scholar 
    Phalan, B., Onial, M., Balmford, A. & Green, R. E. Reconciling food production and biodiversity conservation: Land sharing and land sparing compared. Science 333, 1289–1291 (2011).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Van Zanten, H. H. et al. Defining a land boundary for sustainable livestock consumption. Glob. Change Biol. 24, 4185–4194 (2018).ADS 
    Article 

    Google Scholar 
    Torres, C. M. M. E. et al. Greenhouse gas emissions and carbon sequestration by agroforestry systems in southeastern Brazil. Sci. Rep. 7, 1–7 (2017).Article 

    Google Scholar 
    Haile, S. G., Nair, V. D. & Nair, P. R. Contribution of trees to carbon storage in soils of silvopastoral systems in Florida, USA. Glob. Change Biol. 16, 427–438 (2010).ADS 
    Article 

    Google Scholar 
    Chatterjee, N., Nair, P. R., Chakraborty, S. & Nair, V. D. Changes in soil carbon stocks across the Forest-Agroforest-Agriculture/Pasture continuum in various agroecological regions: A meta-analysis. Agric. Ecosyst. Environ. 266, 55–67 (2018).Article 

    Google Scholar 
    Aynekulu, E. et al. Carbon storage potential of silvopastoral systems of Colombia. Land 9, 309 (2020).Article 

    Google Scholar 
    Birkhofer, K. et al. Land-use type and intensity differentially filter traits in above-and below-ground arthropod communities. J. Anim. Ecol. 86, 511–520 (2017).PubMed 
    Article 

    Google Scholar 
    Dahlsjö, C. A. et al. The local impact of macrofauna and land-use intensity on soil nutrient concentration and exchangeability in lowland tropical Peru. Biotropica 52, 242–251 (2020).Article 

    Google Scholar 
    Vizcaíno-Bravo, Q., Williams-Linera, G. & Asbjornsen, H. Biodiversity and carbon storage are correlated along a land use intensity gradient in a tropical montane forest watershed, Mexico. Basic Appl. Ecol. 44, 24–34 (2020).Article 

    Google Scholar 
    Villanueva-López, G., Martínez-Zurimendi, P., Ramírez-Avilés, L., Aryal, D. R. & Casanova-Lugo, F. Live fences reduce the diurnal and seasonal fluctuations of soil CO 2 emissions in livestock systems. Agron. Sustain. Dev. 36, 23 (2016).Article 

    Google Scholar 
    López-Santiago, J. G. et al. Carbon storage in a silvopastoral system compared to that in a deciduous dry forest in Michoacán, Mexico. Agroforestry Syst. 93, 199–211 (2019).Article 

    Google Scholar 
    Aryal, D. R., Gómez-González, R. R., Hernández-Nuriasmú, R. & Morales-Ruiz, D. E. Carbon stocks and tree diversity in scattered tree silvopastoral systems in Chiapas, Mexico. Agroforestry Syst. 93, 213–227 (2019).Article 

    Google Scholar 
    Beckert, M. R., Smith, P., Lilly, A. & Chapman, S. J. Soil and tree biomass carbon sequestration potential of silvopastoral and woodland-pasture systems in North East Scotland. Agrofor. Syst. 90, 371–383 (2016).Article 

    Google Scholar 
    Cárdenas, A., Moliner, A., Hontoria, C. & Ibrahim, M. Ecological structure and carbon storage in traditional silvopastoral systems in Nicaragua. Agrofor. Syst. 93, 229–239 (2019).Article 

    Google Scholar 
    Lehmann, J. et al. Persistence of soil organic carbon caused by functional complexity. Nat. Geosci. 13, 529–534 (2020).ADS 
    CAS 
    Article 

    Google Scholar 
    Amézquita, M. C., Ibrahim, M., Llanderal, T., Buurman, P. & Amézquita, E. Carbon sequestration in pastures, silvo-pastoral systems and forests in four regions of the Latin American tropics. J. Sustain. For. 21, 31–49 (2004).Article 

    Google Scholar 
    Rosenstock, T. S. et al. Making trees count: Measurement and reporting of agroforestry in UNFCCC national communications of non-Annex I countries. Agric. Ecosyst. Environ. 284, 106569 (2019).Article 

    Google Scholar 
    Junior, M. A. L., Fracetto, F. J. C., da Silva Ferreira, J., Silva, M. B. & Fracetto, G. G. M. Legume-based silvopastoral systems drive C and N soil stocks in a subhumid tropical environment. CATENA 189, 104508 (2020).Article 

    Google Scholar 
    Villanueva-Partida, C. et al. Influence of the density of scattered trees in pastures on the structure and species composition of tree and grass cover in southern Tabasco, Mexico. Agric. Ecosyst. Environ. 232, 1–8 (2016).Article 

    Google Scholar 
    Morantes-Toloza, J. L. & Renjifo, L. M. Live fences in tropical production systems: A global review of uses and perceptions. Rev. Biol. Trop. 66, 739–753 (2018).Article 

    Google Scholar 
    MoralesRuiz, D. E. et al. Carbon contents and fine root production in tropical silvopastoral systems. Land Degrad. Develop. 32, 738–756 (2021).Article 

    Google Scholar 
    Hoosbeek, M. R., Remme, R. P. & Rusch, G. M. Trees enhance soil carbon sequestration and nutrient cycling in a silvopastoral system in south-western Nicaragua. Agrofor. Syst. 92, 263–273 (2018).
    Google Scholar 
    Aryal, D. R. et al. Fine wood decomposition rates decline with the sge of tropical successional forests in Southern Mexico: Implications to ecosystem carbon storage. Ecosystems 25, 661–677 (2022).CAS 
    Article 

    Google Scholar 
    Dignac, M.-F. et al. Increasing soil carbon storage: Mechanisms, effects of agricultural practices and proxies. A review. Agron. Sustain. Develop. 37, 1–27 (2017).CAS 
    Article 

    Google Scholar 
    Sánchez-Silva, S. et al. Fine root biomass stocks but not the production and turnover rates vary with the age of tropical successional forests in Southern Mexico. Rhizosphere 21, 100474 (2022).Article 

    Google Scholar 
    Montejo-Martínez, D. et al. Fine root density and vertical distribution of Leucaena leucocephala and grasses in silvopastoral systems under two harvest intervals. Agrofor. Syst. 94, 843–855 (2020).Article 

    Google Scholar 
    Sánchez-Silva, S., De Jong, B. H., Aryal, D. R., Huerta-Lwanga, E. & Mendoza-Vega, J. Trends in leaf traits, litter dynamics and associated nutrient cycling along a secondary successional chronosequence of semi-evergreen tropical forest in South-Eastern Mexico. J. Trop. Ecol. 34, 364–377 (2018).Article 

    Google Scholar 
    Waters, C. M., Orgill, S. E., Melville, G. J., Toole, I. D. & Smith, W. J. Management of grazing intensity in the semi-arid rangelands of Southern Australia: Effects on soil and biodiversity. Land Degrad. Dev. 28, 1363–1375 (2017).Article 

    Google Scholar 
    Baldassini, P. & Paruelo, J. M. Deforestation and current management practices reduce soil organic carbon in the semi-arid Chaco, Argentina. Agric. Syst. 178, 102749 (2020).Article 

    Google Scholar 
    Abdalla, M. et al. Critical review of the impacts of grazing intensity on soil organic carbon storage and other soil quality indicators in extensively managed grasslands. Agric. Ecosyst. Environ. 253, 62–81 (2018).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Lange, M. et al. Plant diversity increases soil microbial activity and soil carbon storage. Nat. Commun. 6, 1–8 (2015).ADS 
    Article 

    Google Scholar 
    Wiesmeier, M. et al. Soil organic carbon storage as a key function of soils—A review of drivers and indicators at various scales. Geoderma 333, 149–162 (2019).ADS 
    CAS 
    Article 

    Google Scholar 
    Lim, S.-S. et al. Soil organic carbon stocks in three Canadian agroforestry systems: From surface organic to deeper mineral soils. For. Ecol. Manage. 417, 103–109 (2018).ADS 
    Article 

    Google Scholar 
    Nair, P. Carbon sequestration studies in agroforestry systems: A reality-check. Agrofor. Syst. 86, 243–253 (2012).Article 

    Google Scholar 
    Montagnini, F., Ibrahim, M. & Murgueitio, E. Silvopastoral systems and climate change mitigation in Latin America. Bois et forêts des tropiques 316, 3–16 (2013).Article 

    Google Scholar 
    Allison, S. D., Wallenstein, M. D. & Bradford, M. A. Soil-carbon response to warming dependent on microbial physiology. Nat. Geosci. 3, 336–340 (2010).ADS 
    CAS 
    Article 

    Google Scholar 
    Sarto, M. V. et al. Soil microbial community and activity in a tropical integrated crop-livestock system. Appl. Soil. Ecol. 145, 103350 (2020).Article 

    Google Scholar 
    Malik, A. A. et al. Land use driven change in soil pH affects microbial carbon cycling processes. Nat. Commun. 9, 1–10 (2018).ADS 
    CAS 
    Article 

    Google Scholar 
    Bautista, F., Palacio-Aponte, G., Quintana, P. & Zinck, J. A. Spatial distribution and development of soils in tropical karst areas from the Peninsula of Yucatan, Mexico. Geomorphology 135, 308–321 (2011).ADS 
    Article 

    Google Scholar 
    Kaiser, M. et al. The influence of mineral characteristics on organic matter content, composition, and stability of topsoils under long‐term arable and forest land use. J. Geophys. Res. Biogeosci. 117, (2012).Castillo, M. S., Tiezzi, F. & Franzluebbers, A. J. Tree species effects on understory forage productivity and microclimate in a silvopasture of the Southeastern USA. Agric. Ecosyst. Environ. 295, 106917 (2020).Article 

    Google Scholar 
    Yang, Y., Tilman, D., Furey, G. & Lehman, C. Soil carbon sequestration accelerated by restoration of grassland biodiversity. Nat. Commun. 10, 1–7 (2019).
    Google Scholar 
    Grass, I. et al. Land-sharing/-sparing connectivity landscapes for ecosystem services and biodiversity conservation. People Nat. 1, 262–272 (2019).
    Google Scholar 
    Orefice, J., Smith, R. G., Carroll, J., Asbjornsen, H. & Howard, T. Forage productivity and profitability in newly-established open pasture, silvopasture, and thinned forest production systems. Agrofor. Syst. 93, 51–65 (2019).Article 

    Google Scholar 
    Aryal, D. R. et al. Potencial de almacenamiento de carbono en áreas forestales en un sistema ganadero. Revista mexicana de ciencias forestales 9, 150–180 (2018).Article 

    Google Scholar 
    Gobierno de la Republica. Intended Nationally Determined Contribution, Mexico. (Instituto Nacional de Ecología y Cambio Climático, Mexico City, 2015).Bonilla-Moheno, M. & Aide, T. M. Beyond deforestation: Land cover transitions in Mexico. Agric. Syst. 178, 102734 (2020).Article 

    Google Scholar 
    INEGI. Mapa de uso de suelo y vegetación de México: Series I–VII. Instituto Nacional de Estadística y Geografía (INEGI), Aguascalientes, Mexico. https://www.inegi.org.mx/temas/usosuelo/#Map (2018). Accessed 17 Aug 2022.Gosling, E., Reith, E., Knoke, T. & Paul, C. A goal programming approach to evaluate agroforestry systems in Eastern Panama. J. Environ. Manage. 261, 110248 (2020).PubMed 
    Article 

    Google Scholar 
    Bergier, I. et al. Could bovine livestock intensification in Pantanal be neutral regarding enteric methane emissions?. Sci. Total Environ. 655, 463–472 (2019).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Barkin, D. E. uso de la tierra agrícola en Mexico. Problemas del Desarrollo 12, 59–85 (1981).
    Google Scholar 
    Valdivieso-Pérez, I. A., García-Barrios, L. E., Álvarez-Solís, D. & Nahed-Toral, J. From cornfields to grasslands: Change in the quality of soil. Terra Latinoamericana. 30, 363–374 (2012).
    Google Scholar 
    Goldstein, A. et al. Protecting irrecoverable carbon in Earth’s ecosystems. Nat. Clim. Chang. 10, 287–295 (2020).ADS 
    CAS 
    Article 

    Google Scholar 
    CONAFOR. Acciones Tempranas REDD+ Mexico. https://www.gob.mx/conafor/documentos/acciones-tempranas-redd (2017). Accessed 04 Oct 2020.CATIE. Bidiversidad y paisajes ganaderos agrosilvopastoriles sostenibles. https://www.biopasos.com (2020). Accessed 04 Oct 2020.Freire-Santos, P. Z. F., Crouzeilles, R. & Sansevero, J. B. B. Can agroforestry systems enhance biodiversity and ecosystem service provision in agricultural landscapes? A meta-analysis for the Brazilian Atlantic Forest. For. Ecol. Manage. 433, 140–145 (2019).Article 

    Google Scholar 
    Zanne, A. et al. Data from: Towards a worldwide wood economics spectrum. (2009). 10.5061/dryad.234.Chave, J. et al. Improved allometric models to estimate the aboveground biomass of tropical trees. Glob. Change Biol. 20, 3177–3190 (2014).ADS 
    Article 

    Google Scholar 
    Bojórquez, A. et al. Improving the accuracy of aboveground biomass estimations in secondary tropical dry forests. For. Ecol. Manage. 474, 118384 (2020).Article 

    Google Scholar 
    Cairns, M. A., Brown, S., Helmer, E. H. & Baumgardner, G. A. Root biomass allocation in the world’s upland forests. Oecologia 111, 1–11 (1997).ADS 
    PubMed 
    Article 

    Google Scholar 
    Shannon, C.E., Weaver. A Mathematical Theory of Communication Vol. 27 (University of Illinois Press, 1964).Sorensen, T. A. A method of establishing groups of equal amplitude in plant sociology based on similarity of species content and its application to analyses of the vegetation on Danish commons. Biol. Skar. 5, 1–34 (1948).
    Google Scholar 
    Pielou, E. C. The measurement of diversity in different types of biological collections. J. Theor. Biol. 13, 131–144 (1966).ADS 
    Article 

    Google Scholar 
    Van Wagner, C. Practical Aspects of the Line Intersect Method Vol. 12 (Canadian Forestry Service, 1982).
    Google Scholar 
    Heanes, D. Determination of total organic-C in soils by an improved chromic acid digestion and spectrophotometric procedure. Commun. Soil Sci. Plant Anal. 15, 1191–1213 (1984).CAS 
    Article 

    Google Scholar  More

  • in

    A pachyderm perfume: odour encodes identity and group membership in African elephants

    Wyatt, T. Pheromones and Animal Behavior: Communication by Smell and Taste (Cambridge University Press, 2003).Book 

    Google Scholar 
    Wyatt, T. D. Fifty years of pheromones. Nature 457, 262–263 (2009).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Burgener, N., Dehnhard, M., Hofer, H. & East, M. Does anal gland scent signal identity in the spotted hyena?. Anim. Behav. 77, 707–715 (2009).Article 

    Google Scholar 
    Kent, L. & Tang-Martínez, Z. Evidence of individual odors and individual discrimination in the raccoon, Procyon lotor. J. Mamm. 95, 1254–1262 (2014).Article 

    Google Scholar 
    Klücklich, M., Weiß, B. M., Birkemere, C., Einspanier, A. & Widdig, A. Chemical cues of female fertility states in a non-human primate. Sci. Rep. 9, 9–12 (2019).
    Google Scholar 
    Setchell, J. M. et al. Chemical composition of scent-gland secretions in an Old World monkey (Mandrillus sphinx): Influence of sex, male status, and individual identity. Chem. Sens. 35, 205–220 (2010).CAS 
    Article 

    Google Scholar 
    Marneweck, C., Jurgens, A. & Shrader, A. M. Dung odours signal sex, age, territorial and oestrous state in white rhinos. Proc. R. Soc. B 284, 20162376 (2017).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Heth, G., Todrank, J., Busquet, N. & Baudoin, C. Genetic relatedness assessment through individual odour similarities (G-ratios) in mice. Biol. J. Lin. Soc. 78, 595–603 (2003).Article 

    Google Scholar 
    Heth, G., Todrank, J., Begall, S., Wegner, R. & Burda, H. Genetic relatedness discrimination in eusocial Cryptomys anselli mole-rats, Bathyergidae, Rodentia. Folia Zool. 53, 269–278 (2004).
    Google Scholar 
    Busquet, N. & Baudoin, C. Odour similarities as a basis for discriminating degrees of kinship in rodents: Evidence from Mus spicilegus. Anim. Behav. 70, 997–1002 (2005).Article 

    Google Scholar 
    Stoffel, M. A. et al. Chemical fingerprints encode mother–offspring similarity, colony membership, relatedness, and genetic quality in fur seals. PNAS 112(36), E5005–E5012 (2015).ADS 
    CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Charpentier, M., Boulet, M. & Drea, C. Smelling right: The scent of male lemurs advertises genetic quality and relatedness. Mol. Ecol. 17, 3225–3233 (2008).CAS 
    PubMed 
    Article 

    Google Scholar 
    Boulet, M., Charpentier, M. J. E. & Drea, C. M. Decoding an olfactory mechanism of kin recognition and inbreeding avoidance in primates. BMC Evol. Biol. 9, 281 (2009).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Kean, E. F., Bruford, M., Russo, I. R., Müller, C. & Chadwick, E. Odour dialects among wild mammals. Sci. Rep. 7, 13593 (2017).ADS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Wedekind, C., Seebeck, T., Bettens, F. & Paepke, A. J. MHC-dependent mate preferences in humans. Proc. Biol. Sci. 260, 245–249 (1995).CAS 
    PubMed 
    Article 

    Google Scholar 
    Penn, D. & Potts, W. K. Untrained mice discriminate MHC-determined odors. Phys. Behav. 64(3), 235–243 (1998).CAS 
    Article 

    Google Scholar 
    Sun, L. & Müller-Schwarze, D. Anal gland secretion codes for family membership in beaver. Behav. Ecol. Sociobiol. 44(3), 199–208 (1998).Article 

    Google Scholar 
    Bloss, J., Acree, T. E., Bloss, J. M., Hood, W. R. & Kunz, T. H. Potential use of chemical cues for colony-mate recognition in the big brown bat, Eptesicus fuscus. J. Chem. Ecol. 28(4), 819–834 (2002).CAS 
    PubMed 
    Article 

    Google Scholar 
    Weiß, B. M. et al. A non-invasive method for sampling the body odour of mammals. Methods Ecol. Evol. 9, 420–429 (2018).Article 

    Google Scholar 
    O’Riain, M. J. & Jarvis, J. U. M. Colony member recognition and xenophobia in the naked mole-rat. Anim. Behav. 53, 487–498 (1997).Article 

    Google Scholar 
    Henkel, S. & Setchell, J. Group and kin recognition via olfactory cues in chimpanzees (Pan troglodytes). Proc. R. Soc. B. 285, 20181527 (2018).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Henkel, S., Lambides, A. R., Berger, A., Thomsen, R. & Widdig, A. Rhesus macaques (Macaca mulatta) recognize group membership via olfactory cues alone. Behav. Ecol. Sociobiol. 69, 2019–2034 (2015).Article 

    Google Scholar 
    Tzur, S., Todrank, J., Jürgens, A., Nevo, E. & Heth, G. Odour–genes covariance within a natural population of subterranean Spalax galili blind mole rats. Biol. J. Lin. Soc. 96, 483–490 (2009).Article 

    Google Scholar 
    Leclaire, S., Jacob, S., Greene, L. K., Dubay, G. R. & Drea, C. M. Social odours covary with bacterial community in the anal secretions of wild meerkats. Sci. Rep. 7, 1–13 (2017).CAS 
    Article 

    Google Scholar 
    Archie, E. & Theis, K. Animal behavior meets microbial ecology. Anim. Behav. 82, 425–436 (2011).Article 

    Google Scholar 
    Sukumar, R. The Living Elephants: Evolutionary Ecology, Behavior and Conservation (Oxford University Press, 2003).
    Google Scholar 
    Jachowski, D. The Amboseli Elephants: A long-term perspective on a long-lived mammal by C. J. Moss; H. Croze; P. C. Lee. J. Mammal. 93, 294–295 (2012).Article 

    Google Scholar 
    Slotow, R., van Dyk, G., Poole, J., Page, B. & Klocke, A. Older bull elephants control young males. Nature 408, 425–426 (2000).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Niimura, Y., Matsui, A. & Touhara, K. Extreme expansion of the olfactory receptor gene repertoire in African elephants and evolutionary dynamics of orthologous gene groups in 13 placental mammals. Genome Res. 24, 1485–1496 (2014).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Goodwin, T. E., Broederdorf, L. J. & Burkert, B. A. Chemical signals of elephant musth: Temporal aspects of microbially-mediated modifications. J. Chem. Ecol. 38, 81–87 (2012).CAS 
    PubMed 
    Article 

    Google Scholar 
    Schulte, B. A. & Rasmussen, L. E. L. Musth, sexual selection, testosterone and metabolites. In Advances in Chemical Communication in Vertebrates (eds Johnston, R. E. et al.) 383–397 (Plenum Press, New York, 1999).
    Google Scholar 
    Rasmussen, L. E. L. Chemical communication: An integral part of functional Asian elephant (Elephas maximus) society. Ecoscience 5, 410–426 (1998).Article 

    Google Scholar 
    Rasmussen, L. E. L. & Krishnamurthy, V. How chemical signals integrate Asian elephant society: The known and the unknown. Zool. Biol. 19, 405–423 (2000).CAS 
    Article 

    Google Scholar 
    Greenwood, D. R., Comesky, D., Hunt, M. B. & Rasmussen, L. E. L. Chirality in elephant pheromones. Nature 438, 1097–1098 (2005).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Clutton-Brock, T. H. & Huchard, E. Social competition and selection in males and females. Phil. Trans. R. Soc. 368, 20130074 (2013).CAS 
    Article 

    Google Scholar 
    Wittemyer, G. & Getz, W. M. Hierarchical dominance structure and social organization in African elephants Loxodonta africana. Anim. Behav. 73, 671–681 (2007).Article 

    Google Scholar 
    Moss, C. Elephant memories (William Morrow, 1988).
    Google Scholar 
    Buss, I. O., Rasmussen, L. E. L. & Smuts, G. L. Role of stress and individual recognition in the function of the African elephants’ temporal gland. Mammalia 40(3), 437–451 (1976).Article 

    Google Scholar 
    Wittemyer, G., Douglas-Hamilton, I. & Getz, W. M. The socioecology of elephants: Analysis of the processes creating multi-tiered social structures. Anim. Behav. 69(6), 1357–1371 (2005).Article 

    Google Scholar 
    Bates, L. A. et al. African elephants have expectations about the locations of out-of-sight family members. Biol. Lett. 4(1), 34–36 (2008).PubMed 
    Article 

    Google Scholar 
    Bates, L. A. et al. Elephants classify human ethnic groups by odor and garment color. Curr. Biol 17(22), 1938–1942 (2007).CAS 
    PubMed 
    Article 

    Google Scholar 
    Plotnik, J. M. et al. Elephants have a nose for quantity. PNAS 116(25), 12566–12571 (2019).ADS 
    CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    de Silva, S., Schmid, V. & Wittemyer, G. Fission–fusion processes weaken dominance networks of female Asian elephants in a productive habitat. Behav. Ecol. https://doi.org/10.1093/beheco/arw153 (2016).Article 

    Google Scholar 
    Archie, E. A., Moss, C. J. & Alberts, S. C. The ties that bind: Genetic relatedness predicts the fission and fusion of social groups in wild African elephants. Proc. R. Soc. Lond. 273, 513–522 (2006).CAS 

    Google Scholar 
    Allen, C. R. B., Brent, L. J. N., Motsentwa, T., Weiss, M. N. & Croft, D. P. Importance of old bulls: Leaders and followers in collective movements of all-male groups in African savannah elephants (Loxodonta africana). Sci. Rep. https://doi.org/10.1038/s41598-020-70682-y (2020).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Goodwin, T. et al. The Role of Bacteria in Chemical Signals of Elephant Musth. In Chemical Signals in Vertebrates Vol. 13 (eds Schulte, B. et al.) (Springer, 2016).
    Google Scholar 
    Wittemyer, G. et al. Where sociality and relatedness diverge: The genetic basis for hierarchical social organization in African elephants. Proc. Biol. Sci. 7(276), 3513–3521 (2009).
    Google Scholar 
    Stoeger, A. & Baotic, A. Information content and acoustic structure of male African elephant social rumbles. Sci. Rep. 6, 27585 (2016).ADS 
    CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    McComb, K., Reby, D., Baker, L., Moss, C. & Sayialel, S. Long-distance communication of social identity in African elephants. Anim. Behav. 65, 317–329 (2003).Article 

    Google Scholar 
    Archie, E. A. et al. Behavioural inbreeding avoidance in wild African elephants. Molec. Ecol 16, 4138–4148 (2007).CAS 
    Article 

    Google Scholar 
    von Dürckheim, K. Olfaction and scent discrimination in African elephants. PhD thesis, Stellenbosch University, South Africa (2021).Goodwin, T. E. et al. African elephant sesquiterpenes. II. Identification and synthesis of new derivatives of 2,3-dihydrofarnesol. J. Nat. Prod. 65, 1319–1322 (2002).CAS 
    PubMed 
    Article 

    Google Scholar 
    Goodwin, T. E. et al. Chemical analysis of African elephant urine: A search for putative pheromones. In Chemical Signals in Vertebrates 10 (eds Mason, R. T. et al.) 128–139 (Springer Press, 2005).Chapter 

    Google Scholar 
    Goodwin, T. E. et al. Insect pheromones and precursors in female African elephant urine. J. Chem. Ecol. 32, 1849–1853 (2006).CAS 
    PubMed 
    Article 

    Google Scholar 
    Burger, B. V. Mammalian semiochemicals. In The chemistry of Pheromones and Other Semiochemicals II. Topics in Current Chemistry Vol. 240 (ed. Schulz, S.) 231–278 (Springer, 2005).
    Google Scholar 
    Charpentier, M. J. E., Barthes, N., Proffit, M., Bessière, J. M. & Grison, C. Critical thinking in the chemical ecology of mammalian communication: Roadmap for future studies. Funct. Ecol. 26, 769–774 (2012).Article 

    Google Scholar 
    Apps, P., Weldon, P. & Kramer, M. Chemical signals in terrestrial vertebrates: Search for design features. Nat. Prod. Rep. 32, 1131–1153 (2015).CAS 
    PubMed 
    Article 

    Google Scholar 
    Burgener, N., East, M., Hofer, H. & Dehnhard, M. Do spotted hyena scent marks code for clan membership? In Chemical Signals in Vertebrates XI (eds Hurst, J. L. et al.) 169–178 (Springer, 2008).Chapter 

    Google Scholar 
    Lukas, D. & Clutton-Brock, T. Social complexity and kinship in animal societies. Ecol. Lett. 21, 1129–1134. https://doi.org/10.1111/ele.13079 (2018).Article 
    PubMed 

    Google Scholar 
    Meyer, J. M., Goodwin, T. E. & Schulte, B. A. Intrasexual chemical communication and social responses of captive female African elephants, Loxodonta africana. Anim. Behav. 76, 163–174 (2008).Article 

    Google Scholar 
    Soltis, J., Leong, K. & Savage, A. African elephant vocal communication II: Rumble variation reflects the individual identity and emotional state of callers. Anim. Behav. 70(3), 589–599 (2005).Article 

    Google Scholar 
    Scordato, E. S. & Drea, C. M. Scents and sensibility: Information content of olfactory signals in the ringtailed lemur, Lemur catta. Anim. Behav. 73, 301–314 (2007).Article 

    Google Scholar 
    Palagi, E. & Dapporto, L. Beyond odor discrimination: Demonstrating individual recognition by scent in Lemur catta. Chem. Sens. 31, 437–443 (2006).Article 

    Google Scholar 
    Johnston, R. E., Derzie, A., Chiang, G., Jernigan, P. & Lee, H. C. Individual scent signatures in golden hamsters: Evidence for specialization of function. Anim. Behav. 45, 1061–1070 (1993).Article 

    Google Scholar 
    Coffin, H., Watters, J. & Mateo, J. Odor-based recognition of familiar and related conspecifics: A first test conducted on captive Humboldt Penguins (Spheniscus humboldti). PLoS ONE 6, e25002 (2011).ADS 
    CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Leclaire, S. et al. An individual and a sex odor signature in kittiwakes? Study of the semiochemical composition of preen secretion and preen down feathers. Naturwissenschaften 98, 615–624 (2011).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    von Dürckheim, K. et al. African elephants (Loxodonta africana) display remarkable olfactory acuity in human scent matching to sample performance. Appl. Anim. Behav. 200, 123–129 (2018).Article 

    Google Scholar 
    Bates, L. A., Poole, J. H. & Byrne, R. W. Elephant cognition. Curr. Biol. 18, 544–546. https://doi.org/10.1016/j.cub.2008.04.019 (2008).CAS 
    Article 

    Google Scholar 
    Kean, E., Müller, C. & Chadwick, E. Otter scent signals age, sex, and reproductive status. Chem. Sens. 36, 555–564 (2011).CAS 
    Article 

    Google Scholar 
    Kioko, J., Taylor, K., Milne, H. J., Hayes, K. Z. & Kiffner, C. Temporal gland secretion in African elephants (Loxodonta africana). Mamm. Biol. 82, 34–44 (2017).Article 

    Google Scholar 
    Macdonald, E., Fernandez-Duque, E., Sian, E. & Hagey, L. Sex, age, and family differences in the chemical composition of owl monkey (Aotus nancymaae) subcaudal scent secretions. Am. J. Primatol. 70, 12–18 (2008).CAS 
    PubMed 
    Article 

    Google Scholar 
    Zhang, J. et al. Potential chemosignals in the anogenital gland secretion of giant pandas, Ailuropoda melanoleuca, associated with sex and individual identity. J. Chem. Ecol. 34, 398–407 (2008).CAS 
    PubMed 
    Article 

    Google Scholar 
    Theis, K. R. et al. Symbiotic bacteria appear to mediate hyena social odors. Proc. Natl. Acad. Sci. 110(49), 19832–19837 (2013).ADS 
    CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Merritt, G. C., Goodrich, B. S., Hesterman, E. R. & Myktowycz, R. Microflora and volatile fatty acids present in the inguinal pouches of the wild rabbit, Oryctolagus cuniculus in Australia. J. Chem. Ecol. 8, 217–1225 (1982).Article 

    Google Scholar 
    Müller-Schwarze, D. & Heckman, S. The social role of scent in beaver (Castor canadensis). J. Chem. Ecol. 6, 81–95 (1980).Article 

    Google Scholar 
    Albone, E. S., Eglinton, G., Walker, J. M. & Ware, G. C. Anal sac secretion of red fox (Vulpes vulpes), its chemistry and microbiology: Comparison with anal sac secretion of lion (Panthera leo). Life Sci. 14, 387–400 (1974).CAS 
    PubMed 
    Article 

    Google Scholar 
    Gorman, M. L. A mechanism for individual recognition by odour in Herpestes auropunctatus (Carnivora: Viverridae). Anim. Behav. 24, 141–145 (1976).Article 

    Google Scholar 
    Theis, K. R., Schmidt, M. S. & Holekamp, K. E. Evidence for a bacterial mechanism for group-specific social odors among hyenas. Sci. Rep. 2, 615 (2012).ADS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Theis, K. R., Heckla, A. L., Verge, J. R. & Holekamp, K. E. The ontogeny of pasting behavior in free-living spotted hyenas, Crocuta crocuta. In Chemical Signals in Vertebrates Vol. 11 (eds Hurst, J. L. et al.) 179–188 (Springer, 2008).
    Google Scholar 
    Chiyo, P. I. et al. The influence of social structure, habitat, and host traits on the transmission of Escherichia coli in wild elephants. PLoS ONE 9(4), e93408 (2014).ADS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Archie, E. A., Moss, C. J. & Alberts, S. C. Characterization of tetranucleotide microsatellite loci in the African Savannah elephant (Loxodonta africana africana). Mol. Ecol. Notes. 3, 244–246 (2003).CAS 
    Article 

    Google Scholar 
    Comstock, K. E., Wasser, S. K. & Ostrander, E. A. Polymorphic microsatellite DNA loci identified in the African elephant (Loxodonta africana). Mol. Ecol. 9, 1004–1006 (2000).CAS 
    PubMed 
    Article 

    Google Scholar 
    Eggert, L. S., Eggert, J. A. & Woodruff, D. S. Estimating population sizes for elusive animals: The forest elephants of Kakum National Park, Ghana. Mol. Ecol. 12, 1389–1402 (2003).CAS 
    PubMed 
    Article 

    Google Scholar 
    Toonen, R. J. & Hughes, S. Increased throughput for fragment analysis on an ABI PRISM 377 automated sequencer using a membrane comb and STRand software. Biotechniques 6, 1320–1324 (2001).
    Google Scholar 
    Belkhir, K., Castric, V. & Bonhomme, F. IDENTIX, a software to test for relatedness in a population using permutation methods. Mol. Ecol. Notes 2, 611–614 (2002).Article 

    Google Scholar 
    Queller, D. & Goodnight, K. Estimating relatedness using genetic markers. Evolution 43(2), 258–275 (1989).PubMed 
    Article 

    Google Scholar 
    Marshall, T. C., Slate, J., Kruuk, L. E. B. & Pemberton, J. M. Statistical confidence for likelihood-based paternity inference in natural populations. Mol. Ecol. 7, 639–655 (1998).CAS 
    PubMed 
    Article 

    Google Scholar 
    Ottensmann, M., Stoffel, M. A., Nichols, H. J. & Hoffman, J. I. GCalignR: An R Package for aligning gas-chromatography data for ecological and evolutionary studies. PLoS ONE 13(6), e0198311 (2018).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Morelli, T. et al. Relatedness communicated in lemur scent. Naturwissenschaften 100, 769–777 (2013).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Oksanen, J., Blanchet, F., Guillaume. F., Kindt, R., Legendre, P., Minchin, P., O’Hara, R.B., Simpson, G., Solymos, P., Stevens, M.H.H., Wagner, H. Vegan: community ecology package. R package vegan, vers. 2.2-1. (2015). More