Ecology

El-Naggar, H. A. & Hasaballah, A. I. Acute larvicidal toxicity and repellency effect of Octopus cyanea crude extracts against the filariasis vector, Culex pipiens. J. Egypt. Soc. Parasitol. 48(3), 721–728 (2018).Article 

Google Scholar 
Koenraadt, C. J. M., Möhlmann, T. W. R., Verhulst, N. O., Spitzen, J. & Vogels, C. B. F. Effect of overwintering on survival and vector competence of the West Nile virus vector Culex pipiens. Parasit. Vectors 12, 147. https://doi.org/10.1186/s13071-019-3400-4 (2019).Article 

Google Scholar 
Vloet, R. P. M. et al. Transmission of Rift Valley fever virus from European-breed lambs to Culex pipiens mosquitoes. PLoS Negl. Trop. Dis. 11, e0006145. https://doi.org/10.1371/journal.pntd.0006145 (2017).Article 
CAS 

Google Scholar 
Dyab, A. K., Galal, L. A., Mahmoud, A. E. & Mokhtar, Y. Finding Walachia in filarial larvae and culicidae mosquitoes in upper Egypt governorate. Korean J. Parasitol. 54, 265–272 (2016).Article 
CAS 

Google Scholar 
Clements, A. N. & Harbach, R. E. Controversies over the scientific name of the principal mosquito vector of yellow fever virus—Expediency versus validity. J. Vector Ecol. 43, 1–14. https://doi.org/10.1111/jvec.12277 (2018).Article 

Google Scholar 
Nchoutpouen, E. et al. Culex species diversity, susceptibility to insecticides and role as potential vector of Lymphatic filariasis in the city of Yaoundé, Cameroon. PLoS Negl. Trop. Dis. 13(4), 7229. https://doi.org/10.1371/journal.pntd.0007229 (2019).Article 

Google Scholar 
Shah, R. M. et al. Toxicity of 25 synthetic insecticides to the field population of Culex quinquefasciatus Say. Parasitol. Res. 115(11), 4345–4351 (2016).Article 

Google Scholar 
Senthil-Nathan, S. A review of resistance mechanisms of synthetic insecticides and botanicals, phytochemicals, and essential oils as alternative larvicidal agents against mosquitoes. Front. Physiol. 10, 1591. https://doi.org/10.3389/fphys.2019.01591 (2020).Article 

Google Scholar 
Pavela, R. et al. Traditional herbal remedies and dietary spices from Cameroon as novel sources of larvicides against filariasis mosquitoes? Parasitol. Res. 115(12), 4617–4626 (2016).Article 

Google Scholar 
Samuel, T. et al. In vitro antimicrobial activity of Ageratum houstonianum Mill. (Asteraceae). Food Sci. 35, 2897–2900 (2011).
Google Scholar 
Boussaada, O. et al. Insecticidal activity of some Asteraceae plant extracts against Tribolium confusum. Bull. Insectol. 61(2), 8435 (2008).
Google Scholar 
Samuel, T., Ravindran, J., Eapen, A. & William, J. Repellent activity of Ageratum houstonianum Mill. (Asteraceae) leaf extracts against Anopheles stephensi, Aedes aegypti and Culex quinquefasciatus (Diptera: Culicidae). Asian Pac. J. Trop. Dis. 2(6), 478–480 (2012).Article 

Google Scholar 
Samuel, T., Ravindran, K. J., Eapen, A. & William, S. J. Effect of Ageratum houstonianum Mill. (Asteraceae) leaf extracts on the oviposition activity of Anopheles stephensi, Aedes aegypti and Culex quinquefasciatus (Diptera: Culicidae). Parasitol. Res. 111, 2295–2299 (2012).Article 

Google Scholar 
Tennyson, S. et al. In vitro antioxidant activity of Ageratum houstonianum Mill. (Asteraceae). Asian Pac. J. Trop. Dis. 2, S712–S714 (2012).Article 

Google Scholar 
Sharma, P. D. & Sharma, O. P. Natural products chemistry, and biological properties of the Ageratum plant. Toxicol. Environ. Chem. 50, 213–232 (1995).Article 
CAS 

Google Scholar 
Bodner, C. C. & Gereau, R. E. A contribution of Bontoc ethnobotany. Econ. Bot. 42(3), 307–369 (1988).Article 

Google Scholar 
Wiedenfeld, H. & Andrade-Cetto, A. Pyrrolizidine alkaloids from Ageratum houstononiaum Mill.. Phytochemistry 57(8), 1269–1271 (2001).Article 
CAS 

Google Scholar 
Siebertz, R., Proksch, P., Wray, V. & Witte, L. A benzofuran from Ageratum houstononiaum Mill.. Phytochemistry 27(12), 3996–3997 (1988).Article 
CAS 

Google Scholar 
Quijano, L., Calderon, J. S., Garibay, E., Escobar, E. & Rios, T. Further polysubstituted flavones from Ageratum houstononiaum Mill.. Phytochemistry 26(7), 2075–2978 (1987).Article 
CAS 

Google Scholar 
Kundu, A. & Vadassery, J. Chlorogenic acid-mediated chemical defence of plants against insect herbivores. Plant Biol. (Stuttg.) 21(2), 185–189. https://doi.org/10.1111/plb.12947 (2019).Article 
CAS 

Google Scholar 
War, A. R. et al. Effect of plant secondary metabolites on legume pod borer Helicoverpa armigera. J. Pest Sci. 86, 399–408 (2013).Article 

Google Scholar 
Cipollini, D., Stevenson, R., Enright, S., Eyles, A. & Bonello, P. Phenolic metabolites in leaves of the invasive shrub, Lonicera maackii, and their potential phytotoxic and anti-herbivore effects. J. Chem. Ecol. 34, 144–152. https://doi.org/10.1007/s10886-008-9426-2 (2008).Article 
CAS 

Google Scholar 
Regnault-Roger, C. et al. Polyphenolic compounds of Mediterranean Lamiaceae and investigation of orientational effects on Acanthoscelides obtectus (Say). J. Stored Prod. Res. 40, 395–408 (2004).Article 
CAS 

Google Scholar 
Khan, S. et al. Bioactivity-guided isolation of rosmarinic acid as the principle bioactive compound from the butanol extract of Isodon rugosus against the pea aphid, Acyrthosiphon pisum. PLoS ONE 14(6), e0215048. https://doi.org/10.1371/journal.pone.0215048 (2019).Article 
CAS 

Google Scholar 
War, A., Sharma, S. P. & Sharma, H. C. Differential induction of flavonoids in groundnut in response to Helicoverpa armigera and Aphis craccivora infestation. Int. J. Insect Sci. 8, 55–64. https://doi.org/10.4137/IJIS.S39619 (2016).Article 

Google Scholar 
Al Jabr, A. M., Hussain, A., Rizwan-ul-Haq, M. & Al-Ayedh, H. Toxicity of plant secondary metabolites modulating detoxification genes expression for natural red palm weevil pesticide development. Molecules 22, 169. https://doi.org/10.3390/molecules22010169 (2017).Article 
CAS 

Google Scholar 
Moreira, M. D. et al. Plant compounds insecticide activity against coleoptera pests of stored products. Pesqui. Agropecu. Bras. 42(7), 909–915 (2007).Article 

Google Scholar 
Ahuchaogu, A. A. et al. GC-MS analysis of bioactive compounds from whole plant chloroform extract of Ageratum conyzoides. Int. J. Med. Plants Nat. Prod. 4(2), 13–24. https://doi.org/10.20431/2454-7999.0402003 (2018).Article 

Google Scholar 
Zhao, P.-L., Li, J. & Yang, G.-F. Synthesis, and insecticidal activity of chromanone and chromone analogues of diacylhydrazines. Bioorg. Med. Chem. 15, 1888–1895 (2007).Article 
CAS 

Google Scholar 
Hussein, M. A. et al. Synthesis, molecular docking and insecticidal activity evaluation of chromones of date palm pits extract against Culex pipiens (Diptera: Culicidae). Int. J. Mosq. Res. 5(4), 22–32 (2018).
Google Scholar 
Li, F. et al. Synthesis and pharmacological evaluation of novel chromone derivatives as balanced multifunctional agents against Alzheimer’s disease. Bioorg. Med. Chem. 25(14), 3815–3826. https://doi.org/10.1016/j.bmc.2017.05.027 (2017).Article 
CAS 

Google Scholar 
Feldlaufer, M. F. & Eberle, M. W. Insecticidal effect of precocene II on the human body louse, Pediculus humanus. Trans. R. Soc. Trop. Med. Hyg. 74(3), 398–399. https://doi.org/10.1016/0035-9203(80)90110-8 (1980).Article 
CAS 

Google Scholar 
Lu, X. N., Liu, X. C., Liu, Q. Z. & Liu, Z. L. Isolation of insecticidal constituents from the essential oil of Ageratum houstonianum Mill. against Liposcelis bostrychophila Badonnel. J. Chem. 2014, 6. https://doi.org/10.1155/2014/645687 (2014).Article 
CAS 

Google Scholar 
Pratt, G. & Bowers, W. Precocene II inhibits juvenile hormone biosynthesis by cockroach Corpora allata in vitro. Nature 265, 548–550. https://doi.org/10.1038/265548a0 (1977).Article 
ADS 
CAS 

Google Scholar 
Kumar, K. G. A. et al. Chemo-profiling and bioassay of phytoextracts from Ageratum conyzoides for acaricidal properties against Rhipicephalus (Boophilus) microplus (Acari: Ixodidae) infesting cattle and buffaloes in India. Ticks Tick-Borne Dis. 7(2), 342–349 (2016).Article 

Google Scholar 
Fahmi, A. G., Nassar, M., Mansour, E. & Salama, R. Toxicological and biochemical effects of precocene II against cotton leafworm, Spodoptera littoralis (boisd.). Egypt. J. Agric. Res. 97(1), 179–186. https://doi.org/10.21608/ejar.2019.68627 (2019).Article 

Google Scholar 
Benelli, G., Pavela, R., Drenaggi, E., Desneux, N. & Maggi, F. Phytol, (E)-nerolidol and spathulenol from Stevia rebaudiana leaf essential oil as effective and eco-friendly botanical insecticides against Metopolophium dirhodum. Ind. Crops Prod. 155, 112844. https://doi.org/10.1016/j.indcrop.2020.112844 (2020).Article 
CAS 

Google Scholar 
Tennyson, S., Ravindran, K. J., Eapen, A. & William, S. J. Ovicidal activity of Ageratum houstonianum Mill. (Asteraceae) leaf extracts against Anopheles stephensi, Aedes aegypti and Culex quinquefasciatus (Diptera: Culicidae. Asian Pac. J. Trop. Dis. 5, 199–203 (2015).Article 

Google Scholar 
Tennyson, S., Ravindran, K. J., Eapen, A. & William, S. J. Effect of Ageratum houstonianum Mill. (Asteraceae) leaf extracts on the oviposition activity of Anopheles stephensi, Aedes aegypti and Culex quinquefasciatus (Diptera: Culicidae). Parasitol. Res. 111, 2295–2299. https://doi.org/10.1007/s00436-012-3083-7 (2012).Article 

Google Scholar 
Després, L., David, J. P. & Gallet, C. The evolutionary ecology of insect resistance to plant chemicals. Trends Ecol. Evol. 22(6), 298–307 (2007).Article 

Google Scholar 
Navarro-Roldán, M. A., Bosch, D., Gemeno, C. & Siegwart, M. Enzymatic detoxification strategies for neurotoxic insecticides in adults of three tortricid pests. Bull. Entomol. Res. https://doi.org/10.1017/S0007485319000415 (2020).Article 

Google Scholar 
Abdel Haleem, D. R., Gad, A. A. & Farag, S. M. Larvicidal, biochemical and physiological effects of acetamiprid and thiamethoxam against Culex pipiens L. (Diptera: Culicidae). Egypt. J. Aquat. Biol. Fish. 24(3), 271–283. https://doi.org/10.21608/ejabf.2020.91119 (2020).Article 

Google Scholar 
Li, X., Schuler, M. A. & Berenbaum, M. R. Molecular mechanisms of metabolic resistance to synthetic and natural xenobiotics. Annu. Rev. Entomol. 52, 231–253 (2007).Article 

Google Scholar 
Montella, I. R., Schama, R. & Valle, D. The classification of esterases: An important gene family involved in insecticide resistance—A review. Mem. Inst. Oswaldo Cruz. 107(4), 437–449 (2012).Article 
CAS 

Google Scholar 
Vasantha-Srinivasan, P. et al. Comparative analysis of mosquito (Diptera: Culicidae: Aedes aegypti Liston) responses to the insecticide Temephos and plant derived essential oil derived from Piper betle L.. Ecotoxicol. Environ. Saf. 139, 439–446. https://doi.org/10.1016/j.ecoenv.2017.01.026 (2017).Article 
CAS 

Google Scholar 
Ramasamy, V. et al. Chemical characterization of billy goat weed extracts Ageratum conyzoides (Asteraceae) and their mosquitocidal activity against three blood-sucking pests and their non-toxicity against aquatic predators. Environ. Sci. Pollut. Res. 28(22), 28456–28469. https://doi.org/10.1007/s11356-021-12362-6 (2021).Article 

Google Scholar 
Shoukat, R. F. et al. Larvicidal, ovicidal, synergistic, and repellent activities of Sophora alopecuroides and its dominant constituents against Aedes albopictus. Insects 11, 246. https://doi.org/10.3390/insects11040246 (2020).Article 

Google Scholar 
Boily, M., Sarrasin, B., Deblois, C., Aras, P. & Chagnon, M. Acetylcholinesterase in honey bees (Apis mellifera) exposed to neonicotinoids, atrazine and glyphosate: Laboratory and field experiments. Environ. Sci. Pollut. Res. Int. 20(8), 5603–5614. https://doi.org/10.1007/s11356-013-1568-2 (2013).Article 
CAS 

Google Scholar 
Rajashekar, Y., Raghavendra, A. & Bakthavatsalam, N. Acetylcholinesterase inhibition by biofumigant (Coumaran) from leaves of lantana camara in stored grain and household insect pests. Biomed. Res. Int. 2014, 1–6. https://doi.org/10.1155/2014/187019 (2014).Article 
CAS 

Google Scholar 
Yuan, Y., Li, L., Zhao, J. & Chen, M. Effect of tannic acid on nutrition and activities of detoxification enzymes and acetylcholinesterase of the fall webworm (Lepidoptera: Arctiidae). J. Insect Sci. 20(1), 8 (2020).Article 

Google Scholar 
Koodalingam, A., Mullainadhan, P. & Arumugam, M. Effects of extract of soapnut Sapindus emarginatus on esterases and phosphatases of the vector mosquito, Aedes aegypti (Diptera: Culicidae). Acta Trop. 118(1), 27–36 (2011).Article 
CAS 

Google Scholar 
Nathan, S. S. et al. Effect of azadirachtin on acetylcholinesterase (AChE) activity and histology of the brown plant hopper Nilaparvata lugens (Stål). Ecotoxicol. Environ. Saf. 70, 244–250 (2008).Article 
CAS 

Google Scholar 
Abdel-Haleem, D. R., Genidy, N. A., Fahmy, A. R., Abu-El Azm, F. S. M. & Ismail, N. S. M. Comparative modeling, toxicological and biochemical studies of imidacloprid and thiamethoxam insecticides on the House Fly, Musca domestica L. (Diptera: Muscidae). Egypt. Acad. J. Biol. Sci. 11(1), 33–42. https://doi.org/10.21608/EAJB.2018.11977 (2018).Article 

Google Scholar 
Kliot, A., Kontsedalov, S., Ramsey, J. S., Jande, G. & Ghanim, M. Adaptation to nicotine in the facultative tobacco-feeding hemipteran Bemisia tabaci. Pest Manag. Sci 70, 1595–1603 (2014).Article 
CAS 

Google Scholar 
Silva, T. R. F. B. et al. Effect of the flavonoid rutin on the biology of Spodoptera frugiperda (Lepidoptera: Noctuidae) Fitossanidade. Acta Sci. Agron. 38(2), 165–170. https://doi.org/10.4025/actasciagron.v38i2.27956 (2016).Article 

Google Scholar 
Petschenka, G., Wagschal, V., Von Tschirnhaus, M., Donath, A. & Dobler, S. Convergently evolved toxic secondary metabolites in plants drive the parallel molecular evolution of insect resistance. Am. Nat. 190, 29–43 (2017).Article 

Google Scholar 
Emam, M. et al. Phytochemical profiling of Lavandula coronopifolia Poir. aerial parts extract and its larvicidal, antibacterial, and antibiofilm activity against Pseudomonas aeruginosa. Molecules 26, 1710. https://doi.org/10.3390/molecules26061710 (2021).Article 
CAS 

Google Scholar 
El Hadidy, D., El Sayed, A. M., El Tantawy, M. & El Alfy, T. Phytochemical analysis and biological activities of essential oils of the leaves and flowers of Ageratum houstonianum Mill. cultivated in Egypt. J. Essent. Oil-Bear. Plants 22(5), 1241–1251. https://doi.org/10.1080/0972060X.2019.1673831 (2019).Article 

Google Scholar 
Tennyson, S., Ravindran, J., Eapen, A. & William, J. Repellent activity of Ageratum houstonianum Mill. (Asteraceae) leaf extracts against Anopheles stephensi, Aedes aegypti and Culex quinquefasciatus (Diptera: Culicidae). Asian Pac. J. Trop. Dis. 2(6), 478–480 (2012).Article 

Google Scholar 
Pintong, A. et al. Insecticidal and histopathological effects of Ageratum conyzoides weed extracts against dengue vector, Aedes aegypti. Insects 11, 224 (2020).Article 

Google Scholar 
Parveen, S. et al. In vitro evaluation of ethanolic extracts of Ageratum conyzoides and Artemisia absinthium against cattle tick, Rhipicephalus microplus. Sci. World J. 2014, 858973 (2014).Article 
CAS 

Google Scholar 
Ichihara, K. & Fukubayashi, Y. Preparation of fatty acid methyl esters for gas-liquid chromatography. J. Lipid Res. 51(3), 635–640 (2010).Article 
CAS 

Google Scholar 
Mruthunjaya, K. & Hukkeri, V. I. In vitro antioxidant and free radical scavenging potential of Parkinsonia aculeata Linn.. Pharmacogn. Mag. 4(13), 42–52 (2008).
Google Scholar 
Atanassova, M., Georgieva, S. & Ivancheva, K. Total phenolic and total flavonoid contents, antioxidant capacity and biological contaminants in medicinal herbs. J. Chem. Technol. Metall. 46(1), 81–88 (2011).CAS 

Google Scholar 
Mizzi, L., Chatzitzika, C., Gatt, R. & Valdramidis, V. HPLC analysis of phenolic compounds and flavonoids with overlapping peaks. Food Technol. Biotechnol. 58(1), 12–19. https://doi.org/10.17113/ftb.58.01.20.6395 (2020).Article 
CAS 

Google Scholar 
Kasap, M. & Demirhan, H. The effect of various larval foods on the rate of adult emergence and fecundity of mosquitoes. Turk. Parasitol. Dergisi 161, 87–97 (1992).
Google Scholar 
WHO. Guidelines for Laboratory & Field Testing of Mosquito Larvicides 1–4 (Bulletin of the World Health Organization, 2005).
Google Scholar 
El-Sheikh, T., Bosly, H. & Shalaby, N. Insecticidal and repellent activities of methanolic extract of Tribulus terrestris L. (Zygophyllaceae) against the malarial vector Anopheles arabiensis (Diptera: Culicidae). Egypt. Acad. J. Biol. Sci. 5(2), 13–22 (2012).
Google Scholar 
Abbott, W. A method of computing the effectiveness of an insecticide. J. Econ. Entomol. 18(2), 256–267 (1952).
Google Scholar 
Amin, T. R. Biochemical and Physiological Studies of Some Insect Growth Regulators on the Cotton Leafworm, Spodoptera littoralis (Boisd.). Ph.D. thesis, Faculty of Science, Cairo University (1998).Simpson, D. R., Bulland, D. L. & Linquist, D. A. A semimicrotechnique for estimation of cholinesterase activity in boll weevils. Ann. Entomol. Soc. Am. 57, 367–371 (1964).Article 
CAS 

Google Scholar 
Amaral, M. C., Bonecker, A. C. T. & Ortiz, C. H. D. Activity determination of Na+ K+-ATPase and Mg++-ATPase enzymes in the gill of Poecilia vivpara (Osteichthyes, Cyprinodontiformes) in different salinities. Braz. Arch. Biol. Technol. 44, 1–6 (2001).Article 
CAS 

Google Scholar 
Hansen, I. G. & Hodgson, E. Biochemical characteristics of insect microsomes, N-and o-demethylation. Biochem. Pharmacol. 20, 1569–1578 (1971).Article 
CAS 

Google Scholar 
Finney, D. J. Probit Analysis 3rd edn. (Cambridge University Press, 1971).MATH 

Google Scholar 
Duncan, D. B. Multiple range, and multiple F tests. Biometrics 2, 1–42 (1955).Article 
MathSciNet 

Google Scholar  More

Schneider-Crease, I. et al. Identifying wildlife reservoirs of neglected taeniid tapeworms: Non-invasive diagnosis of endemic Taenia serialis infection in a wild primate population. PLoS Negl Trop Dis 11, e0005709 (2017).Article 

Google Scholar 
Schneider-Crease, I. et al. Ecology eclipses phylogeny as a major driver of nematode parasite community structure in a graminivorous primate. Funct. Ecol. 34, 1898–1906 (2020).Article 

Google Scholar 
Gillespie, T. R. Noninvasive assessment of gastrointestinal parasite infections in free-ranging primates. Int. J. Primatol. 27, 1129 (2006).Article 

Google Scholar 
Budischak, S. A., Hoberg, E. P., Abrams, A., Jolles, A. E. & Ezenwa, V. O. A combined parasitological molecular approach for noninvasive characterization of parasitic nematode communities in wild hosts. Mol. Ecol. Resour. 15, 1112–1119 (2015).Article 

Google Scholar 
Ghalehnoei, H., Bagheri, A., Fakhar, M. & Mishan, M. A. Circulatory microRNAs: promising non-invasive prognostic and diagnostic biomarkers for parasitic infections. Eur. J. Clin. Microbiol. Infect. Dis. 39, 395–402 (2020).Article 
CAS 

Google Scholar 
Hing, S., Narayan, E. J., Andrew Thompson, R. C. & Godfrey, S. S. The relationship between physiological stress and wildlife disease: consequences for health and conservation. Wildl Res. 43, 51–60 (2016).Article 

Google Scholar 
Kersey, D. C. & Dehnhard, M. The use of noninvasive and minimally invasive methods in endocrinology for threatened mammalian species conservation. Gen. Comp. Endocrinol. 203, 296–306 (2014).Article 
CAS 

Google Scholar 
Behringer, V. & Deschner, T. Non-invasive monitoring of physiological markers in primates. Horm. Behav. 91, 3–18 (2017).Article 
CAS 

Google Scholar 
Higham, J. P., Stahl-Hennig, C. & Heistermann, M. Urinary suPAR: A non-invasive biomarker of infection and tissue inflammation for use in studies of large free-ranging mammals. R Soc Open Sci. 7, 191825 (2020).Article 
ADS 
CAS 

Google Scholar 
Heistermann, M. & Higham, J. P. Urinary neopterin, a non-invasive marker of mammalian cellular immune activation, is highly stable under field conditions. Sci Rep. 5, 16308 (2015).Article 
ADS 
CAS 

Google Scholar 
Higham, J. P. et al. Evaluating noninvasive markers of nonhuman primate immune activation and inflammation. Am. J. Phys. Anthropol. 158, 673–684 (2015).Article 

Google Scholar 
Behringer, V. et al. Elevated neopterin levels in wild, healthy chimpanzees indicate constant investment in unspecific immune system. BMC Zool. 4, 1–7 (2019).Article 

Google Scholar 
Dibakou, S. E., Basset, D., Souza, A., Charpentier, M. & Huchard, E. Determinants of variations in fecal neopterin in free-ranging mandrills. Front. Ecol. Evol. https://doi.org/10.3389/fevo.2019.00368 (2019).Article 

Google Scholar 
Löhrich, T., Behringer, V., Wittig, R. M., Deschner, T. & Leendertz, F. H. The use of neopterin as a noninvasive marker in monitoring diseases in wild chimpanzees. EcoHealth 15, 792–803 (2018).Article 

Google Scholar 
Behringer, V., Stevens, J. M. G., Leendertz, F. H., Hohmann, G. & Deschner, T. Validation of a method for the assessment of urinary neopterin levels to monitor health status in nonhuman primate species. Front Physiol. 8, 51 (2017).Article 

Google Scholar 
Negrey, J. D., Behringer, V., Langergraber, K. E. & Deschner, T. Urinary neopterin of wild chimpanzees indicates that cell-mediated immune activity varies by age, sex, and female reproductive status. Sci. Rep. 11, 9298 (2021).Article 
ADS 
CAS 

Google Scholar 
Behringer, V. et al. Cell-mediated immune ontogeny is affected by sex but not environmental context in a long-lived primate species. Front. Ecol. Evol. 9, 272 (2021).Article 

Google Scholar 
Müller, N., Heistermann, M., Strube, C., Schülke, O. & Ostner, J. Age, but not anthelmintic treatment, is associated with urinary neopterin levels in semi-free ranging Barbary macaques. Sci. Rep. 7, 41973 (2017).Article 
ADS 

Google Scholar 
Dibakou, S. E. et al. Ecological, parasitological and individual determinants of plasma neopterin levels in a natural mandrill population. Int. J. Parasitol. Parasites Wildl. 11, 198–206 (2020).Article 

Google Scholar 
Eisenhut, M. Neopterin in diagnosis and monitoring of infectious diseases. J. Biomark. 2013, 196432 (2013).Article 

Google Scholar 
Franceschi, C. & Campisi, J. Chronic inflammation (inflammaging) and its potential contribution to age-associated diseases. J Gerontol. A Biol. Sci. Med Sci. 69(Suppl 1), S4–9 (2014).Article 

Google Scholar 
Basha, S., Surendran, N. & Pichichero, M. Immune responses in neonates. Expert. Rev. Clin. Immunol. 10, 1171–1184 (2014).Article 
CAS 

Google Scholar 
Werner, E. R. et al. Determination of neopterin in serum and urine. Clin. Chem. 33, 62–66 (1987).Article 
CAS 

Google Scholar 
Lucore, J. M., Marshall, A. J., Brosnan, S. F. & Benítez, M. E. Validating urinary neopterin as a biomarker of immune response in captive and wild capuchin monkeys. Front. Vet. Sci. 9, 918036. https://doi.org/10.3389/fvets.2022.918036 (2022).Article 

Google Scholar 
Berdowska, A. & Zwirska-Korczala, K. Neopterin measurement in clinical diagnosis. J. Clin. Pharm. Ther. 26, 319–329 (2001).Article 
CAS 

Google Scholar 
Denz, H. et al. Value of urinary neopterin in the differential diagnosis of bacterial and viral infections. Klin. Wochenschr. 68, 218–222 (1990).Article 
CAS 

Google Scholar 
Reibnegger, G. et al. Urinary neopterin reflects clinical activity in patients with rheumatoid arthritis. Arthritis Rheum. 29, 1063–1070 (1986).Article 
CAS 

Google Scholar 
Huber, C. et al. Immune response-associated production of neopterin. Release from macrophages primarily under control of interferon-gamma. J. Exp. Med. 160, 310–316 (1984).Article 
CAS 

Google Scholar 
Horak, E., Gassner, I., Sölder, B., Wachter, H. & Fuchs, D. Neopterin levels and pulmonary tuberculosis in infants. Lung 176, 337–344 (1998).Article 
CAS 

Google Scholar 
Fendrich, C. et al. Urinary neopterin concentrations in rhesus monkeys after infection with simian immunodeficiency virus (SIVmac 251). AIDS 3, 305–307 (1989).Article 
CAS 

Google Scholar 
Chan, C. P. Y. et al. Detection of serum neopterin for early assessment of dengue virus infection. J. Infect. 53, 152–158 (2006).Article 

Google Scholar 
Wu, D. F., Behringer, V., Wittig, R. M., Leendertz, F. H. & Deschner, T. Urinary neopterin levels increase and predict survival during a respiratory outbreak in wild chimpanzees (Taï National Park, Côte d’Ivoire). Sci. Rep. 8, 13346 (2018).Article 
ADS 

Google Scholar 
Maizels, R. M. & McSorley, H. J. Regulation of the host immune system by helminth parasites. J. Allergy Clin. Immunol. 138, 666–675 (2016).Article 
CAS 

Google Scholar 
Maizels, R. M. & Yazdanbakhsh, M. Immune regulation by helminth parasites: Cellular and molecular mechanisms. Nat. Rev. Immunol. 3, 733–744 (2003).Article 
CAS 

Google Scholar 
Yazdanbakhsh, M., Kremsner, P. G. & van Ree, R. Allergy, parasites, and the hygiene hypothesis. Science 296, 490–494 (2002).Article 
ADS 
CAS 

Google Scholar 
Faz-López, B., Morales-Montor, J. & Terrazas, L. I. Role of macrophages in the repair process during the tissue migrating and resident helminth infections. Biomed. Res. Int. 2016, 8634603 (2016).Article 

Google Scholar 
Garcia, H. H., Rodriguez, S., Friedland, J. S. Cysticercosis Working Group in Peru. Immunology of Taenia solium taeniasis and human cysticercosis. Parasite Immunol. 36, 388–396. https://doi.org/10.1111/pim.12126 (2014)Article 
CAS 

Google Scholar 
Thaiss, C. A., Zmora, N., Levy, M. & Elinav, E. The microbiome and innate immunity. Nature 535, 65–74 (2016).Article 
ADS 
CAS 

Google Scholar 
Schneider-Crease, I. A., Griffin, R. H., Gomery, M. A., Bergman, T. J. & Beehner, J. C. High mortality associated with tapeworm parasitism in geladas (Theropithecus gelada) in the Simien Mountains National Park, Ethiopia. Am. J. Primatol. https://doi.org/10.1002/ajp.22684 (2017).Article 

Google Scholar 
Nguyen, N. et al. Fitness impacts of tapeworm parasitism on wild gelada monkeys at Guassa, Ethiopia. Am. J. Primatol. 77, 579–594 (2015).Article 

Google Scholar 
Schneider-Crease, I. A. et al. Helminth infection is associated with dampened cytokine responses to viral and bacterial stimulations in Tsimane forager-horticulturalists. Evol. Med. Public Health 9, 349–359 (2021).Article 

Google Scholar 
Roberts, E. K., Lu, A., Bergman, T. J. & Beehner, J. C. Female reproductive parameters in wild geladas (Theropithecus gelada). Int. J. Primatol. 38, 1–20 (2017).Article 

Google Scholar 
Beehner, J. C. et al. Corrigendum to “Testosterone related to age and life-history stages in male baboons and geladas” [Horm. Behav. 56/4 (2009) 472-480]. Horm Behav. 80, 149 (2016).Article 

Google Scholar 
Erb, R. E., Tillson, S. A., Hodgen, G. D. & Plotka, E. D. Urinary creatinine as an index compound for estimating rate of excretion of steroids in the domestic sow. J. Anim. Sci. 30, 79–85 (1970).Article 
CAS 

Google Scholar 
Tinsley Johnson, E., Snyder-Mackler, N., Lu, A., Bergman, T. J. & Beehner, J. C. Social and ecological drivers of reproductive seasonality in geladas. Behav. Ecol. 29, 574–588 (2018).Article 

Google Scholar 
Kaushik, S. & Kaur, J. Effect of chronic cold stress on intestinal epithelial cell proliferation and inflammation in rats. Stress 8, 191–197 (2005).Article 
CAS 

Google Scholar 
Jarvey, J. C., Low, B. S., Pappano, D. J. & Bergman, T. J. Graminivory and fallback foods: annual diet profile of geladas (Theropithecus gelada) living in the Simien Mountains National Park, Ethiopia. Int. J. Primatol. https://doi.org/10.1007/s10764-018-0018-x (2018).Article 

Google Scholar 
Gowda, C., Hadley, C. & Aiello, A. E. The association between food insecurity and inflammation in the US adult population. Am. J. Public Health. 102, 1579–1586 (2012).Article 

Google Scholar 
Becker, D. J. et al. Macroimmunology: The drivers and consequences of spatial patterns in wildlife immune defence. J. Anim. Ecol. 89, 972–995 (2020).Article 

Google Scholar 
Bates, D., Maechler, M., Bolker, B. & Walker, S. lme4: Linear mixed-effects models using Eigen and S4. R package version 1, 1–7 (2014).R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. 2021. https://www.R-project.org/.Kuznetsova, A., Brockhoff, P. B. & Christensen, R. H. B. lmerTest Package: Tests in linear mixed effects models. J. Stat. Softw. 82, 1–26 (2017).Article 

Google Scholar 
Simon, A. K., Hollander, G. A. & McMichael, A. Evolution of the immune system in humans from infancy to old age. Proc. Biol. Sci. 282, 20143085 (2015).
Google Scholar 
Heinonen, S. et al. Infant immune response to respiratory viral infections. Immunol. Allergy Clin. North Am. 39, 361–376 (2019).Article 

Google Scholar 
Teran, R. et al. Immune system development during early childhood in tropical Latin America: Evidence for the age-dependent down regulation of the innate immune response. Clin. Immunol. 138, 299–310 (2011).Article 
CAS 

Google Scholar 
van de Pol, M. & Verhulst, S. Age-dependent traits: a new statistical model to separate within- and between-individual effects. Am. Nat. 167, 766–773 (2006).Article 

Google Scholar 
Furman, D. et al. Chronic inflammation in the etiology of disease across the life span. Nat. Med. 25, 1822–1832 (2019).Article 
CAS 

Google Scholar 
Petrovsky, N., McNair, P. & Harrison, L. C. Diurnal rhythms of pro-inflammatory cytokines: regulation by plasma cortisol and therapeutic implications. Cytokine 10, 307–312 (1998).Article 
CAS 

Google Scholar 
Lasselin, J., Rehman, J.-U., Åkerstedt, T., Lekander, M. & Axelsson, J. Effect of long-term sleep restriction and subsequent recovery sleep on the diurnal rhythms of white blood cell subpopulations. Brain Behav. Immun. 47, 93–99 (2015).Article 

Google Scholar 
Auzéby, A., Bogdan, A., Krosi, Z. & Touitou, Y. Time-dependence of urinary neopterin, a marker of cellular immune activity. Clin Chem. 34, 1866–1867 (1988).Article 

Google Scholar 
Ansari, A. & Williams, J. F. The eosinophilic response of the rat to infection with Taenia taeniaeformis. J. Parasitol. 62, 728–736 (1976).Article 
CAS 

Google Scholar 
Schneider-Crease, I. A., Snyder-Mackler, N., Jarvey, J. C. & Bergman, T. J. Molecular identification of Taenia serialis coenurosis in a wild Ethiopian gelada (Theropithecus gelada). Vet. Parasitol. 198, 240–243 (2013).Article 
CAS 

Google Scholar 
Terrazas, L. I., Bojalil, R., Govezensky, T. & Larralde, C. Shift from an early protective Th1-type immune response to a late permissive Th2-type response in murine cysticercosis (Taenia crassiceps). J. Parasitol. 84, 74–81 (1998).Article 
CAS 

Google Scholar 
Toenjes, S. A., Spolski, R. J., Mooney, K. A. & Kuhn, R. E. The systemic immune response of BALB/c mice infected with larval Taenia crassiceps is a mixed Th1/Th2-type response. Parasitology 118(Pt 6), 623–633 (1999).Article 
CAS 

Google Scholar 
Gaze, S. et al. Characterising the mucosal and systemic immune responses to experimental human hookworm infection. PLoS Pathog. 8, e1002520 (2012).Article 
CAS 

Google Scholar 
Johnston, M. J. G., MacDonald, J. A. & McKay, D. M. Parasitic helminths: a pharmacopeia of anti-inflammatory molecules. Parasitology 136, 125–147 (2009).Article 
CAS 

Google Scholar 
Cortés, A., Muñoz-Antoli, C., Esteban, J. G. & Toledo, R. Th2 and Th1 responses: Clear and hidden sides of immunity against intestinal helminths. Trends Parasitol. 33, 678–693 (2017).Article 

Google Scholar 
White, M. P. J., McManus, C. M. & Maizels, R. M. Regulatory T-cells in helminth infection: induction, function and therapeutic potential. Immunology 160, 248–260 (2020).Article 
CAS 

Google Scholar 
Maizels, R. M. & Holland, M. J. Parasite immunity: Pathways for expelling intestinal helminths. Curr Biol. 8, R711–R714 (1998).Article 
CAS 

Google Scholar 
Zhang, D. & Frenette, P. S. Cross talk between neutrophils and the microbiota. Blood 133, 2168–2177 (2019).Article 
CAS 

Google Scholar 
Wang, J., Chen, W.-D. & Wang, Y.-D. The relationship between gut microbiota and inflammatory diseases: The role of macrophages. Front. Microbiol. 11, 1065 (2020).Article 

Google Scholar 
Pallikkuth, S. et al. Age associated microbiome and microbial metabolites modulation and its association with systemic inflammation in a rhesus macaque model. Front. Immunol. 12, 748397 (2021).Article 
CAS 

Google Scholar 
Pierce, Z. et al. The infant gut microbiome is associated with stool markers of macrophage and neutrophil activity. FASEB J. 30, 668–9 (2016).
Google Scholar 
Levast, B. et al. Impact on the gut microbiota of intensive and prolonged antimicrobial therapy in patients with bone and joint infection. Front. Med. https://doi.org/10.3389/fmed.2021.586875 (2021).Article 

Google Scholar 
Hooper, L. V., Littman, D. R. & Macpherson, A. J. Interactions between the microbiota and the immune system. Science 336, 1268–1273 (2012).Article 
ADS 
CAS 

Google Scholar 
Round, J. L. & Mazmanian, S. K. The gut microbiota shapes intestinal immune responses during health and disease. Nat. Rev. Immunol. 9, 313–323 (2009).Article 
CAS 

Google Scholar 
Libertucci, J. & Young, V. B. The role of the microbiota in infectious diseases. Nat. Microbiol. 4, 35–45 (2019).Article 
CAS 

Google Scholar 
Huttenhower, C. et al. Structure, function and diversity of the healthy human microbiome. Nature 486, 207–214 (2012).Article 
ADS 
CAS 

Google Scholar 
Lozupone, C. A., Stombaugh, J. I., Gordon, J. I., Jansson, J. K. & Knight, R. Diversity, stability and resilience of the human gut microbiota. Nature 489, 220–230 (2012).Article 
ADS 
CAS 

Google Scholar 
Blaser, M. J. & Falkow, S. What are the consequences of the disappearing human microbiota?. Nat. Rev. Microbiol. 7, 887–894 (2009).Article 
CAS 

Google Scholar 
Brown, E. M., Kenny, D. J. & Xavier, R. J. Gut microbiota regulation of T cells during inflammation and autoimmunity. Annu. Rev. Immunol. 37, 599–624 (2019).Article 
CAS 

Google Scholar 
Gollwitzer, E. S. & Marsland, B. J. Impact of early-life exposures on immune maturation and susceptibility to disease. Trends Immunol. 36, 684–696 (2015).Article 
CAS 

Google Scholar 
Ravi, A. et al. Loss of microbial diversity and pathogen domination of the gut microbiota in critically ill patients. Microbial. Genomics https://doi.org/10.1099/mgen.0.000293 (2019).McLaren, M. R. & Callahan, B. J. Pathogen resistance may be the principal evolutionary advantage provided by the microbiome. Philos. Trans. R. Soc. Lond. B Biol. Sci. 375, 20190592 (2020).Article 

Google Scholar 
Ragonnaud, E. & Biragyn, A. Gut microbiota as the key controllers of “healthy” aging of elderly people. Immun Ageing 18, 2 (2021).Article 

Google Scholar 
Wilmanski, T. et al. Gut microbiome pattern reflects healthy ageing and predicts survival in humans. Nat. Metab. 3, 274–286 (2021).Article 

Google Scholar 
Cattadori, I. M. et al. Impact of helminth infections and nutritional constraints on the small intestine microbiota. PLoS ONE 11, e0159770 (2016).Article 

Google Scholar 
Houlden, A. et al. Chronic Trichuris muris infection in C57BL/6 mice causes significant changes in host microbiota and metabolome: Effects reversed by pathogen clearance. PLoS ONE 10, e0125945 (2015).Article 

Google Scholar 
Holm, J. B. et al. Chronic Trichuris muris infection decreases diversity of the intestinal microbiota and concomitantly increases the abundance of Lactobacilli. PLoS ONE 10, e0125495 (2015).Article 

Google Scholar 
Peachey, L. E., Jenkins, T. P. & Cantacessi, C. This gut ain’t big enough for both of us. Or is it? Helminth–microbiota interactions in veterinary species. Trends Parasitol. 33, 619–632 (2017).Article 

Google Scholar  More

World Health Organization. World Health Statistics 2018. (WHO, 2018).Wynne, N. E., Lorenzo, M. G. & Vinauger, C. Mechanism and plasticity of vectors’ host-seeking behavior. Curr. Opin. Insect Sci. 40, 1–5 (2020).Article 

Google Scholar 
Carlile, P. A., Peters, R. A. & Evans, C. S. Detection of a looming stimulus by the Jacky dragon: Selective sensitivity to characteristics of an aerial predator. Anim. Behav. 72, 553–562 (2006).Article 

Google Scholar 
Ingle, D. J. Visually elicited evasive behavior in frogs. Bioscience 40, 284–291 (1990).Article 

Google Scholar 
Yilmaz, M. & Meister, M. Rapid innate defensive responses of mice to looming visual stimuli. Curr. Biol. 23, 2011–2015 (2013).Article 
CAS 

Google Scholar 
Temizer, I., Donovan, J. C., Baier, H. & Semmelhack, J. L. A visual pathway for looming-evoked escape in larval zebrafish. Curr. Biol. 25, 1823–1834 (2015).Article 
CAS 

Google Scholar 
Scarano, F., Tomsic, D. & Sztarker, J. Direction selective neurons responsive to horizontal motion in a crab reflect an adaptation to prevailing movements in flat environments. J. Neurosci. https://doi.org/10.1523/JNEUROSCI.0372-20.2020 (2020).Article 

Google Scholar 
Scarano, F. & Tomsic, D. Escape response of the crab Neohelice to computer generated looming and translational visual danger stimuli. J. Physiol. Paris 108, 141–147 (2014).Article 

Google Scholar 
Santer, R. D., Rind, F. C., Stafford, R. & Simmons, P. J. Role of an identified looming-sensitive neuron in triggering a flying locust’s escape. J. Neurophysiol. 95, 3391–3400 (2006).Article 

Google Scholar 
Simmons, P. J., Rind, F. C. & Santer, R. D. Escapes with and without preparation: The neuroethology of visual startle in locusts. J. Insect Physiol. 56, 876–883 (2010).Article 
CAS 

Google Scholar 
Dupuy, F., Casas, J., Body, M. & Lazzari, C. R. Danger detection and escape behaviour in wood crickets. J. Insect Physiol. 57, 865–871 (2011).Article 
CAS 

Google Scholar 
Muijres, F. T., Elzinga, M. J., Melis, J. M. & Dickinson, M. H. Flies evade looming targets by executing rapid visually directed banked turns. Science 344, 172–177 (2014).Article 
ADS 
CAS 

Google Scholar 
Ache, J. M. et al. Neural basis for looming size and velocity encoding in the Drosophila giant fiber escape pathway. Curr. Biol. 29, 1073-1081.e4 (2019).Article 
CAS 

Google Scholar 
Domenici, P., Booth, D., Blagburn, J. M. & Bacon, J. P. Cockroaches keep predators guessing by using preferred escape trajectories. Curr. Biol. 18, 1792–1796 (2008).Article 
CAS 

Google Scholar 
Smolka, J., Zeil, J. & Hemmi, J. M. Natural visual cues eliciting predator avoidance in fiddler crabs. Proc. Biol. Sci. 278, 3584–3592 (2011).
Google Scholar 
Card, G. & Dickinson, M. Performance trade-offs in the flight initiation of Drosophila. J. Exp. Biol. 211, 341–353 (2008).Article 

Google Scholar 
Sun, Y. A. & Wyman, R. J. Neurons of the Drosophila giant fiber system: I. Dorsal longitudinal motor neurons. J. Comp. Neurol. 387, 157–166 (1997).Article 
CAS 

Google Scholar 
von Reyn, C. R. et al. Feature integration drives probabilistic behavior in the Drosophila escape response. Neuron 94, 1190-1204.e6 (2017).Article 

Google Scholar 
Fotowat, H., Fayyazuddin, A., Bellen, H. J. & Gabbiani, F. A novel neuronal pathway for visually guided escape in Drosophila melanogaster. J. Neurophysiol. 102, 875–885 (2009).Article 

Google Scholar 
Card, G. & Dickinson, M. H. Visually mediated motor planning in the escape response of Drosophila. Curr. Biol. 18, 1300–1307 (2008).Article 
CAS 

Google Scholar 
Matherne, M. E., Cockerill, K., Zhou, Y., Bellamkonda, M. & Hu, D. L. Mammals repel mosquitoes with their tails. J. Exp. Biol. 221, 178905 (2018).Article 

Google Scholar 
Cribellier, A. et al. Diurnal and nocturnal mosquitoes escape looming threats using distinct flight strategies. Curr. Biol. 32, 1232-1246.e5 (2022).Article 
CAS 

Google Scholar 
Cribellier, A., Spitzen, J., Straw, A. D., van Leeuwen, J. L. & Muijres, F. T. Escape flight performances of night-active malaria mosquitoes: the role of visual and airflow cues of an approaching object. in Integrative and Comparative Biology. Vol. 61. E170–E171 (Oxford University Press Inc Journals Dept, 2021).Reid, J. A. Anopheline Mosquitoes of Malaya and Borneo. Studies from the Institute for Medical Research, Malaysia. (1968).Clements, A. N. The Biology of Mosquitoes. Volume 2: Sensory Reception and Behaviour (CABI Publishing, 1999).
Google Scholar 
Tuno, N., Tsuda, Y., Takagi, M. & Swonkerd, W. Pre- and postprandial mosquito resting behavior around cattle hosts. J. Am. Mosq. Control Assoc. 19, 211–219 (2003).
Google Scholar 
Day, J. F. & Edman, J. D. Mosquito engorgement on normally defensive hosts depends on host activity Patterns. J. Med. Entomol. 21, 732–740 (1984).Article 
CAS 

Google Scholar 
Edman, J. D., Webber, L. A. & Kale, H. W. Effect of mosquito density on the interrelationship of host behavior and mosquito feeding success. Am. J. Trop. Med. Hyg. 21, 487–491 (1972).Article 
CAS 

Google Scholar 
Christophers, S. R. Aedes aegypti: The Yellow Fever Mosquito. (1960).Ponlawat, A. & Harrington, L. C. Blood feeding patterns of Aedes aegypti and Aedes albopictus in Thailand. J. Med. Entomol. 42, 844–849 (2005).Article 

Google Scholar 
Walilko, T. J., Viano, D. C. & Bir, C. A. Biomechanics of the head for Olympic boxer punches to the face. Br. J. Sports Med. 39, 710–719 (2005).Article 
CAS 

Google Scholar 
Reiser, M. B. & Dickinson, M. H. A modular display system for insect behavioral neuroscience. J. Neurosci. Methods 167, 127–139 (2008).Article 

Google Scholar 
Cribellier, A. Biomechanics of Flying Mosquitoes During Capture and Escape. Doctoral Dissertation. (Wageningen University, 2021).Hu, X., Leming, M. T., Whaley, M. A. & O’Tousa, J. E. Rhodopsin coexpression in UV photoreceptors of Aedes aegypti and Anopheles gambiae mosquitoes. J. Exp. Biol. 217, 1003–1008 (2014).
Google Scholar 
Tammero, L. F., Frye, M. A. & Dickinson, M. H. Spatial organization of visuomotor reflexes in Drosophila. J. Exp. Biol. 207, 113–122 (2004).Article 

Google Scholar 
Tammero, L. F. & Dickinson, M. H. Collision-avoidance and landing responses are mediated by separate pathways in the fruit fly, Drosophila melanogaster. J. Exp. Biol. 205, 2785–2798 (2002).Article 

Google Scholar 
Muijres, F. T. et al. Escaping blood-fed malaria mosquitoes minimize tactile detection without compromising on take-off speed. J. Exp. Biol. 220, 3751–3762 (2017).Article 
CAS 

Google Scholar 
van Veen, W. G., van Leeuwen, J. L. & Muijres, F. T. Malaria mosquitoes use leg push-off forces to control body pitch during take-off. J. Exp. Zool. A Ecol. Integr. Physiol. 333, 38–49 (2020).Article 

Google Scholar 
Caro, T. et al. Benefits of zebra stripes: Behaviour of tabanid flies around zebras and horses. PLoS ONE 14, e0210831 (2019).Article 
CAS 

Google Scholar 
Edman, J. D., Webber, L. A. & Schmid, A. A. Effect of host defenses on the feeding pattern of Culex nigripalpus when offered a choice of blood sources. J. Parasitol. 60, 874–883 (1974).Article 
CAS 

Google Scholar 
Walker, E. D. & Edman, J. D. The influence of host defensive behavior on mosquito (Diptera: Culicidae) biting persistence1. J. Med. Entomol. 22, 370–372 (1985).Article 
CAS 

Google Scholar 
Warnes, M. L. & Finlayson, L. H. Effect of host behaviour on host preference in Stomoxys calcitrans. Med. Vet. Entomol. 1, 53–57 (1987).Article 
CAS 

Google Scholar 
Vinauger, C. et al. Modulation of host learning in Aedes aegypti mosquitoes. Curr. Biol. 28, 333-344.e8 (2018).Article 
CAS 

Google Scholar 
Wolff, G. H. & Riffell, J. A. Olfaction, experience and neural mechanisms underlying mosquito host preference. J. Exp. Biol. 221, 157131 (2018).Article 

Google Scholar 
Alonso San Alberto, D. et al. The olfactory gating of visual preferences to human skin and visible spectra in mosquitoes. Nat. Commun. 13, 1–14 (2022).Article 

Google Scholar 
van Breugel, F., Riffell, J., Fairhall, A. & Dickinson, M. H. Mosquitoes use vision to associate odor plumes with thermal targets. Curr. Biol. 25, 2123–2129 (2015).Article 

Google Scholar 
Vinauger, C. et al. Visual-olfactory integration in the human disease vector mosquito, Aedes aegypti. Curr. Biol. 29, 2509-2516.e5 (2019).Article 
CAS 

Google Scholar 
Grant, A. J. & O’Connell, R. J. Age-related changes in female mosquito carbon dioxide detection. J. Med. Entomol. 44, 617–623 (2007).Article 
CAS 

Google Scholar 
Tallon, A. K., Hill, S. R. & Ignell, R. Sex and age modulate antennal chemosensory-related genes linked to the onset of host seeking in the yellow-fever mosquito, Aedes aegypti. Sci. Rep. 9, 43 (2019).Article 
ADS 

Google Scholar 
Eilerts, D. F., VanderGiessen, M., Bose, E. A., Broxton, K. & Vinauger, C. Odor-specific daily rhythms in the olfactory sensitivity and behavior of Aedes aegypti mosquitoes. Insects 9, 147 (2018).Article 

Google Scholar 
Taylor, B. & Jones, M. D. The circadian rhythm of flight activity in the mosquito Aedes aegypti (L). The phase-setting effects of light-on and light-off. J. Exp. Biol. 51, 59–70 (1969).Article 
CAS 

Google Scholar 
Peirce, J. et al. PsychoPy2: Experiments in behavior made easy. Behav. Res. Methods 51, 195–203 (2019).Article 

Google Scholar 
Bates, D., Mächler, M., Bolker, B. & Walker, S. Fitting Linear Mixed-Effects Models Using lme4. arXiv [stat.CO] (2014).Hothorn, T., Bretz, F. & Westfall, P. Simultaneous inference in general parametric models. Biom. J. 50, 346–363 (2008).Article 
MathSciNet 
MATH 

Google Scholar 
Lund, U., & Agostinelli, C. Package “Circular”. Repository CRAN (2017).Bunn, A. G. A dendrochronology program library in R (dplR). Dendrochronologia 26, 115–124 (2008).Article 

Google Scholar 
Walker, J. A. Estimating velocities and accelerations of animal locomotion: A simulation experiment comparing numerical differentiation algorithms. J. Exp. Biol. 201, 981–995 (1998).Article 

Google Scholar 
Wickham, H. ggplot2: Elegant Graphics for Data Analysis (Springer, 2009).Book 
MATH 

Google Scholar  More

Surface-attached bacteria move towards antibiotics via twitching motilityWe used microfluidic devices and automated cell tracking to quantify the movement of P. aeruginosa cells as they are exposed to well-defined spatial gradients of antibiotics in developing biofilms (Fig. 1). We began with the antibiotic ciprofloxacin, which is widely used to treat P. aeruginosa infections27,28. To set a baseline, we first determined the minimum inhibitory concentration (hereafter MIC) of ciprofloxacin for P. aeruginosa (strain PAO1) in shaking cultures, which agrees with the published MIC of this strain (Fig. S129). We then exposed surface-attached cells to an antibiotic gradient in a microfluidic device where the antibiotic concentration ranged from zero to 10 times the MIC (Fig. 1A, B, Methods). After approximately 5 h of unbiased movement, we were surprised to see that twitching cells began to bias their movement towards increasing concentrations of ciprofloxacin (Fig. 1B, D, Movie 1). The movement bias, β, defined as the number of cells moving up the gradient divided by the number of cells moving down the gradient, peaks after approximately 10 h and then decays as the surface becomes crowded with cells (Movie 1) and tracking becomes difficult (Methods). The flow through the device also has a small influence on the direction of cell movement because it tends to pull cells in the downstream direction (Fig. 1B, C, E). However, this fluid flow is orthogonal to the direction of the antibiotic gradient, and so does not explain the movement towards antibiotics.Fig. 1: Twitching P. aeruginosa cells bias their motility towards increasing antibiotic concentrations.A A dual-inlet microfluidic device generates steady antibiotic gradients (e.g. ciprofloxacin, CMAX = 10X MIC) via molecular diffusion. Isocontours were calculated using mathematical modelling (Methods) and background shading shows approximate ciprofloxacin distribution visualised using fluorescein. B Red (blue) cell trajectories are moving towards (away from) increasing [ciprofloxacin]. Inset: A circular histogram of cell movement direction reveals movement bias towards increasing [ciprofloxacin]. A two-sided binomial test rejects the null hypothesis that trajectories are equally likely to be directed up or down the [ciprofloxacin] gradient (p  More

Franchini, M. & Mannucci, P. M. Air pollution and cardiovascular disease. Thromb. Res. 129, 230–234 (2012).Article 
CAS 

Google Scholar 
Langrish, J. P. et al. Reducing personal exposure to particulate air pollution improves cardiovascular health in patients with coronary heart disease. Environ. Health Perspect. 120, 367–372 (2012).Article 
CAS 

Google Scholar 
Tanwar, V., Katapadi, A., Adelstein, J. M., Grimmer, J. A. & Wold, L. E. Cardiac pathophysiology in response to environmental stress: A current review. Curr. Opin. Physiol. 1, 198–205 (2018).Article 

Google Scholar 
Franchini, M. & Mannucci, P. M. Particulate air pollution and cardiovascular risk: short-term and long-term effects. in Seminars in Thrombosis and Hemostasis. Vol. 35. 665–670 (© Thieme Medical Publishers, 2009).Shah, A. S. V. et al. Global association of air pollution and heart failure: A systematic review and meta-analysis. Lancet 382, 1039–1048 (2013).Article 
CAS 

Google Scholar 
Cesaroni, G. et al. Long term exposure to ambient air pollution and incidence of acute coronary events: Prospective cohort study and meta-analysis in 11 European cohorts from the ESCAPE Project. BMJ 348, f7412 (2014).Article 

Google Scholar 
Brook, R. D. et al. Particulate matter air pollution and cardiovascular disease: An update to the scientific statement from the American Heart Association. Circulation 121, 2331–2378 (2010).Article 
CAS 

Google Scholar 
Héroux, M.-E. et al. Quantifying the health impacts of ambient air pollutants: Recommendations of a WHO/Europe project. Int. J. Public Health 60, 619–627 (2015).Article 

Google Scholar 
An, Z., Jin, Y., Li, J., Li, W. & Wu, W. Impact of particulate air pollution on cardiovascular health. Curr. Allergy Asthma Rep. 18, 1–7 (2018).Article 
CAS 

Google Scholar 
Zanobetti, A., Baccarelli, A. & Schwartz, J. Gene-air pollution interaction and cardiovascular disease: A review. Prog. Cardiovasc. Dis. 53, 344–352 (2011).Article 
CAS 

Google Scholar 
Liang, R. et al. Effect of exposure to PM2.5 on blood pressure: A systematic review and meta-analysis. J. Hypertens. 32, 2130–2141 (2014).Article 
CAS 

Google Scholar 
Jerrett, M. et al. Traffic-related air pollution and obesity formation in children: A longitudinal, multilevel analysis. Environ. Heal. 13, 49 (2014).Article 

Google Scholar 
McConnell, R. et al. A longitudinal cohort study of body mass index and childhood exposure to secondhand tobacco smoke and air pollution: The Southern California Children’s Health Study. Environ. Health Perspect. 123, 360–366 (2015).Article 

Google Scholar 
Renzi, M. et al. Air pollution and occurrence of type 2 diabetes in a large cohort study. Environ. Int. 112, 68–76 (2018).Article 
CAS 

Google Scholar 
Jomova, K. et al. Arsenic: Toxicity, oxidative stress and human disease. J. Appl. Toxicol. 31, 95–107 (2011).CAS 

Google Scholar 
Al-Kindi, S. G., Brook, R. D., Biswal, S. & Rajagopalan, S. Environmental determinants of cardiovascular disease: Lessons learned from air pollution. Nat. Rev. Cardiol. 17, 656–672 (2020).Article 

Google Scholar 
Noroozian, M. The elderly population in iran: An ever growing concern in the health system. Iran. J. Psychiatry Behav. Sci. 6, 1 (2012).
Google Scholar 
Chokshi, D. A. & Farley, T. A. The cost-effectiveness of environmental approaches to disease prevention. N. Engl. J. Med. 367, 295–297 (2012).Article 
CAS 

Google Scholar 
Nieuwenhuijsen, M. J. Influence of urban and transport planning and the city environment on cardiovascular disease. Nat. Rev. Cardiol. 15, 432–438 (2018).Article 

Google Scholar 
Barnett, A. G. et al. The effects of air pollution on hospitalizations for cardiovascular disease in elderly people in Australian and New Zealand cities. Environ. Health Perspect. 114, 1018–1023 (2006).Article 
CAS 

Google Scholar 
Koken, P. J. M. et al. Temperature, air pollution, and hospitalization for cardiovascular diseases among elderly people in Denver. Environ. Health Perspect. 111, 1312–1317 (2003).Article 

Google Scholar 
Institute for Health Metrics and Evaluation. GBD 2019. (University of Washington, 2022).IHME. GBD 2019 Data and Tools Overview. (University of Washington, 2020).Dicker, D. et al. Global, regional, and national age-sex-specific mortality and life expectancy, 1950–2017: A systematic analysis for the Global Burden of Disease Study 2017. Lancet 392, 1684–1735 (2018).Article 

Google Scholar 
Miller, D. C. & Salkind, N. J. Handbook of Research Design and Social Measurement (Sage, 2002).Book 

Google Scholar 
Rosenthal, F. S., Carney, J. P. & Olinger, M. L. Out-of-hospital cardiac arrest and airborne fine particulate matter: A case–crossover analysis of emergency medical services data in Indianapolis, Indiana. Environ. Health Perspect. 116, 631–636 (2008).Article 

Google Scholar 
Ensor, K. B., Raun, L. H. & Persse, D. A case-crossover analysis of out-of-hospital cardiac arrest and air pollution. Circulation 127, 1192–1199 (2013).Article 
CAS 

Google Scholar 
Forastiere, F. et al. A case-crossover analysis of out-of-hospital coronary deaths and air pollution in Rome, Italy. Am. J. Respir. Crit. Care Med. 172, 1549–1555 (2005).Article 

Google Scholar 
Levy, D. et al. A case-crossover analysis of particulate matter air pollution and out-of-hospital primary cardiac arrest. Epidemiology 12, 193–199 (2001).Article 
CAS 

Google Scholar 
Silverman, R. A. et al. Association of ambient fine particles with out-of-hospital cardiac arrests in New York City. Am. J. Epidemiol. 172, 917–923 (2010).Article 

Google Scholar 
Naghavi, M. et al. Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016: A systematic analysis for the Global Burden of Disease Study 2016. Lancet 390, 1151–1210 (2017).Article 

Google Scholar 
Berend, N. Contribution of air pollution to COPD and small airway dysfunction. Respirology 21, 237–244 (2016).Article 

Google Scholar 
Vahedian, M., Khanjani, N., Mirzaee, M. & Koolivand, A. Associations of short-term exposure to air pollution with respiratory hospital admissions in Arak, Iran. J. Environ. Health Sci. Eng. 15, 17 (2017).Yaser, H. S., Narges, K., Yaser, S. & Rasoul, M. Air pollution and cardiovascular mortality in Kerman from 2006 to 2011. Am. J. Cardiovasc. Dis. Res. 2, 27–30 (2014).
Google Scholar 
Khaefi, M. et al. Association of particulate matter impact on prevalence of chronic obstructive pulmonary disease in Ahvaz, southwest Iran during 2009–2013. Aerosol Air Qual. Res. 17, 230–237 (2017).Article 
CAS 

Google Scholar 
Khaniabadi, Y. O. et al. Exposure to PM10, NO2, and O3 and impacts on human health. Environ. Sci. Pollut. Res. Int. 24, 2781–2789 (2017).Article 
CAS 

Google Scholar 
Momtazan, M. et al. An investigation of particulate matter and relevant cardiovascular risks in Abadan and Khorramshahr in 2014–2016. Toxin Rev. 38, 1–8 (2018).Martinelli, N., Olivieri, O. & Girelli, D. Air particulate matter and cardiovascular disease: A narrative review. Eur. J. Intern. Med. 24, 295–302 (2013).Article 
CAS 

Google Scholar 
Khaniabadi, Y. O. et al. Mortality and morbidity due to ambient air pollution in Iran. Clin. Epidemiol. Glob. Health 7, 222–227 (2019).Article 

Google Scholar 
Almeida-Silva, M. et al. Exposure and dose assessment to particle components among an elderly population. Atmos. Environ. 102, 156–166 (2015).Article 
ADS 
CAS 

Google Scholar 
Suh, H. H., Zanobetti, A., Schwartz, J. & Coull, B. A. Chemical properties of air pollutants and cause-specific hospital admissions among the elderly in Atlanta, Georgia. Environ. Health Perspect. 119, 1421–1428 (2011).Article 

Google Scholar 
Chien, L.-C., Yang, C.-H. & Yu, H.-L. Estimated effects of Asian dust storms on spatiotemporal distributions of clinic visits for respiratory diseases in Taipei children (Taiwan). Environ. Health Perspect. 120, 1215–1220 (2012).Article 

Google Scholar 
Khaniabadi, Y. O. et al. Chronic obstructive pulmonary diseases related to outdoor PM10, O3, SO2, and NO2 in a heavily polluted megacity of Iran. Environ. Sci. Pollut. Res. 25, 17726–17734 (2018).Article 
CAS 

Google Scholar 
Omidi Khaniabadi, Y. et al. Air quality modeling for health risk assessment of ambient PM10, PM2.5 and SO2 in Iran. Hum. Ecol. Risk Assess. Int. J. 25, 1298–1310 (2019).Newell, K., Kartsonaki, C., Lam, K. B. H. & Kurmi, O. P. Cardiorespiratory health effects of particulate ambient air pollution exposure in low-income and middle-income countries: A systematic review and meta-analysis. Lancet Planet. Health 1, e368–e380 (2017).Article 

Google Scholar 
Dominici, F. et al. Fine particulate air pollution and hospital admission for cardiovascular and respiratory diseases. JAMA 295, 1127–1134 (2006).Article 
CAS 

Google Scholar 
Qiu, H. et al. Inflammatory and oxidative stress responses of healthy elders to solar-assisted large-scale cleaning system (SALSCS) and changes in ambient air pollution: A quasi-interventional study in Xi’an, China. Sci. Total Environ. 806, 151217 (2022).Article 
ADS 
CAS 

Google Scholar 
Fiordelisi, A. et al. The mechanisms of air pollution and particulate matter in cardiovascular diseases. Heart Fail. Rev. 22, 337–347 (2017).Article 
CAS 

Google Scholar 
Yang, D., Yang, X., Deng, F. & Guo, X. Ambient air pollution and biomarkers of health effect. Ambient Air Pollut. Health Impact China 1017, 59–102 (2017).Lim, S. S. et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: A systematic analysis for the Global Burden of Disease Study 2010. Lancet 380, 2224–2260 (2012).Article 

Google Scholar 
Newby, D. E. et al. Expert position paper on air pollution and cardiovascular disease. Eur. Heart J. 36, 83–93 (2015).Article 
CAS 

Google Scholar 
Brook, R. D., Newby, D. E. & Rajagopalan, S. Air pollution and cardiometabolic disease: An update and call for clinical trials. Am. J. Hypertens. 31, 1–10 (2018).Article 
CAS 

Google Scholar 
Kang, S.-H. et al. Ambient air pollution and out-of-hospital cardiac arrest. Int. J. Cardiol. 203, 1086–1092 (2016).Article 

Google Scholar 
Thurston, G. D. et al. Ambient particulate matter air pollution exposure and mortality in the NIH-AARP diet and health cohort. Environ. Health Perspect. 124, 484–490 (2016).Article 

Google Scholar 
Gallagher, L. G. et al. Applying a moving total mortality count to the cities in the NMMAPS database to estimate the mortality effects of particulate matter air pollution. Circulation 172, 872–879 (2010).
Google Scholar 
Rodopoulou, S., Samoli, E., Chalbot, M.-C.G. & Kavouras, I. G. Air pollution and cardiovascular and respiratory emergency visits in Central Arkansas: A time-series analysis. Sci. Total Environ. 536, 872–879 (2015).Article 
ADS 
CAS 

Google Scholar 
Teng, T.-H.K. et al. A systematic review of air pollution and incidence of out-of-hospital cardiac arrest. J. Epidemiol. Commun. Health 68, 37–43 (2014).Article 

Google Scholar 
Brook, R. D. et al. Air pollution and cardiovascular disease: A statement for healthcare professionals from the expert panel on population and prevention science of the American Heart Association. Circulation 109, 2655–2671 (2004).Article 

Google Scholar 
Raza, A. et al. Short-term effects of air pollution on out-of-hospital cardiac arrest in Stockholm. Eur. Heart J. 35, 861–868 (2014).Article 
CAS 

Google Scholar 
Baccarelli, A. et al. Effects of exposure to air pollution on blood coagulation. J. Thromb. Haemost. 5, 252–260 (2007).Article 
CAS 

Google Scholar 
Franchini, M. & Mannucci, P. M. Thrombogenicity and cardiovascular effects of ambient air pollution. Blood 118, 2405–2412 (2011).Article 
CAS 

Google Scholar 
Yin, F. et al. Diesel exhaust induces systemic lipid peroxidation and development of dysfunctional pro-oxidant and pro-inflammatory high-density lipoprotein. Arterioscler. Thromb. Vasc. Biol. 33, 1153–1161 (2013).Article 
CAS 

Google Scholar 
Chirinos, J. A. et al. Elevation of endothelial microparticles, platelets, and leukocyte activation in patients with venous thromboembolism. J. Am. Coll. Cardiol. 45, 1467–1471 (2005).Article 
CAS 

Google Scholar 
Adar, S. D. et al. Fine particulate air pollution and the progression of carotid intima-medial thickness: A prospective cohort study from the multi-ethnic study of atherosclerosis and air pollution. PLoS Med. 10, e1001430 (2013).Article 

Google Scholar 
Kampfrath, T. et al. Chronic fine particulate matter exposure induces systemic vascular dysfunction via NADPH oxidase and TLR4 pathways. Circ. Res. 108, 716–726 (2011).Article 
CAS 

Google Scholar 
Sun, Q. et al. Long-term air pollution exposure and acceleration of atherosclerosis and vascular inflammation in an animal model. JAMA 294, 3003–3010 (2005).Article 
CAS 

Google Scholar 
Dennekamp, M. et al. Outdoor air pollution as a trigger for out-of-hospital cardiac arrests. Epidemiology 21, 494–500 (2010).Straney, L. et al. Evaluating the impact of air pollution on the incidence of out-of-hospital cardiac arrest in the Perth Metropolitan Region: 2000–2010. J. Epidemiol. Commun. Health 68, 6–12 (2014).Article 

Google Scholar 
Sullivan, J. et al. Exposure to ambient fine particulate matter and primary cardiac arrest among persons with and without clinically recognized heart disease. Am. J. Epidemiol. 157, 501–509 (2003).Article 
CAS 

Google Scholar 
Barton, T. J. et al. Traditional cardiovascular risk factors strongly underestimate the 5-year occurrence of cardiovascular morbidity and mortality in spinal cord injured individuals. Arch. Phys. Med. Rehabil. 102, 27–34 (2021).Article 

Google Scholar 
Burg, M. M. et al. Risk for incident hypertension associated with PTSD in military veterans, and the effect of PTSD treatment. Psychosom. Med. 79, 181 (2017).Article 

Google Scholar 
Hinojosa, R. Veterans’ likelihood of reporting cardiovascular disease. J. Am. Board Fam. Med. 32, 50–57 (2019).Article 

Google Scholar 
Rush, T., LeardMann, C. A. & Crum-Cianflone, N. F. Obesity and associated adverse health outcomes among US military members and veterans: Findings from the millennium cohort study. Obesity 24, 1582–1589 (2016).Article 

Google Scholar 
Stefanovics, E. A., Potenza, M. N. & Pietrzak, R. H. Smoking, obesity, and their co-occurrence in the US military veterans: Results from the national health and resilience in veterans study. J. Affect. Disord. 274, 354–362 (2020).Article 

Google Scholar 
Brook, R. D. et al. Insights into the mechanisms and mediators of the effects of air pollution exposure on blood pressure and vascular function in healthy humans. Hypertension 54, 659–667 (2009).Article 
CAS 

Google Scholar 
Rajagopalan, S. & Brook, R. D. Air pollution and type 2 diabetes: Mechanistic insights. Diabetes 61, 3037–3045 (2012).Article 
CAS 

Google Scholar 
Franklin, S. S. & Wong, N. D. Hypertension and cardiovascular disease: Contributions of the Framingham Heart Study. Glob. Heart 8, 49–57 (2013).Article 

Google Scholar 
Gu, D. et al. Blood pressure and risk of cardiovascular disease in Chinese men and women. Am. J. Hypertens. 21, 265–272 (2008).Article 

Google Scholar 
Wang, H. et al. Blood pressure, body mass index and risk of cardiovascular disease in Chinese men and women. BMC Public Health 10, 189 (2010).Article 

Google Scholar 
O’Brien, E. The Lancet Commission on hypertension: Addressing the global burden of raised blood pressure on current and future generations. J. Clin. Hypertens. 19, 564–568 (2017).Article 

Google Scholar 
Cai, Y. et al. Associations of short-term and long-term exposure to ambient air pollutants with hypertension: A systematic review and meta-analysis. Hypertension 68, 62–70 (2016).Article 
CAS 

Google Scholar 
Zhang, Z., Laden, F., Forman, J. P. & Hart, J. E. Long-term exposure to particulate matter and self-reported hypertension: A prospective analysis in the Nurses’ Health Study. Environ. Health Perspect. 124, 1414–1420 (2016).Article 

Google Scholar 
Cosselman, K. E., Navas-Acien, A. & Kaufman, J. D. Environmental factors in cardiovascular disease. Nat. Rev. Cardiol. 12, 627 (2015).Article 
CAS 

Google Scholar 
Baccarelli, A. et al. Effects of particulate air pollution on blood pressure in a highly exposed population in Beijing, China: A repeated-measure study. Environ. Heal. 10, 108 (2011).Article 

Google Scholar 
Mordukhovich, I. et al. Black carbon exposure, oxidative stress genes, and blood pressure in a repeated-measures study. Environ. Health Perspect. 117, 1767–1772 (2009).Article 
CAS 

Google Scholar 
Chen, H. et al. Spatial association between ambient fine particulate matter and incident hypertension. Circulation 129, 562–569 (2014).Article 
CAS 

Google Scholar 
Honjo, K. et al. The effects of smoking and smoking cessation on mortality from cardiovascular disease among Japanese: Pooled analysis of three large-scale cohort studies in Japan. Tob. Control 19, 50–57 (2010).Article 

Google Scholar 
Lawlor, D. A., Song, Y.-M., Sung, J., Ebrahim, S. & Smith, G. D. The association of smoking and cardiovascular disease in a population with low cholesterol levels: A study of 648 346 men from the Korean national health system prospective cohort study. Stroke 39, 760–767 (2008).Article 
CAS 

Google Scholar 
Wold, L. E. et al. Cardiovascular remodeling in response to long-term exposure to fine particulate matter air pollution. Circ. Hear. Fail. 5, 452–461 (2012).Article 
CAS 

Google Scholar 
Zoeller, R. T. et al. Endocrine-disrupting chemicals and public health protection: A statement of principles from The Endocrine Society. Endocrinology 153, 4097–4110 (2012).Article 
CAS 

Google Scholar 
Ruiz, D., Becerra, M., Jagai, J. S., Ard, K. & Sargis, R. M. Disparities in environmental exposures to endocrine-disrupting chemicals and diabetes risk in vulnerable populations. Diabetes Care 41, 193–205 (2018).Article 
CAS 

Google Scholar 
Taylor, D. Toxic Communities: Environmental Racism, Industrial Pollution, and Residential Mobility (NYU Press, 2014).
Google Scholar 
Newbold, R. R., Padilla-Banks, E. & Jefferson, W. N. Environmental estrogens and obesity. Mol. Cell. Endocrinol. 304, 84–89 (2009).Article 
CAS 

Google Scholar 
Szyszkowicz, M., Rowe, B. H. & Brook, R. D. Even low levels of ambient air pollutants are associated with increased emergency department visits for hypertension. Can. J. Cardiol. 28, 360–366 (2012).Article 
CAS 

Google Scholar 
van den Hooven, E. H. et al. Air pollution, blood pressure, and the risk of hypertensive complications during pregnancy: The generation R study. Hypertension 57, 406–412 (2011).Article 

Google Scholar 
Vali, M. et al. Effect of meteorological factors and Air Quality Index on the COVID-19 epidemiological characteristics: An ecological study among 210 countries. Environ. Sci. Pollut. Res. 38, 1–11 (2021).Kiani, B. et al. Association between heavy metals and colon cancer: An ecological study based on geographical information systems in North-Eastern Iran. BMC Cancer 21, 1–12 (2021).Article 

Google Scholar 
Cyranoski, D. China tests giant air cleaner to combat smog. Nature 555, 152–154 (2018).Article 
ADS 
CAS 

Google Scholar  More

Neumann, P. & Carreck, N. L. Honey bee colony losses. J. Apic. Res. 49(1), 1–6 (2010).Article 

Google Scholar 
Osterman, J. et al. Global trends in the number and diversity of managed pollinator species. Agr. Ecosyst. Environ. 322, 107653. https://doi.org/10.1016/j.agee.2021.107653 (2021).Article 

Google Scholar 
Potts, S. G. et al. Global pollinator declines: Trends, impacts and drivers. Trends Ecol. Evol. 25, 345–353 (2010).Article 

Google Scholar 
Hristov, P., Shumkova, R., Palova, N. & Neov, B. Factors associated with honey bee colony losses: A mini-review. Vet. Sci. 7(4), 166 (2020).Article 

Google Scholar 
Dukas, R. Mortality rates of honey bees in the wild. Insectes Soc. 55, 252–255 (2008).Article 

Google Scholar 
Ellis, J. D., Evans, J. D. & Pettis, J. Colony losses, managed colony population decline, and colony collapse disorder in the United States. J. Apic. Res. 49, 134–136 (2010).Article 

Google Scholar 
Vanengelsdorp, D. & Meixner, M. D. A historical review of managed honey bee populations in Europe and the United States and the factors that may affect them. J. Invertebr. Pathol. 103(Suppl 1), S80-95 (2010).Article 

Google Scholar 
Gallai, N., Salles, J.-M., Settele, J. & Vaissière, B. E. Economic valuation of the vulnerability of world agriculture confronted with pollinator decline. Ecol. Econ. 68, 810–821 (2009).Article 

Google Scholar 
Patel, V., Pauli, N., Biggs, E., Barbour, L. & Boruff, B. Why bees are critical for achieving sustainable development. Ambio 50, 49–59 (2021).Article 

Google Scholar 
Aylanc, V., Falcão, S. I., Ertosun, S. & Vilas-Boas, M. From the hive to the table: Nutrition value, digestibility and bioavailability of the dietary phytochemicals present in the bee pollen and bee bread. Trends Food Sci. Tech. 109, 464–481 (2021).Article 
CAS 

Google Scholar 
Kieliszek, M. et al. Pollen and bee bread as new health-oriented products: A review. Trends Food Sci. Tech. 71, 170–180 (2018).Article 
CAS 

Google Scholar 
Bixby, M. et al. Honey bee queen production: Canadian costing case study and profitability analysis. J. Econ. Entomol. 113, 1618–1627 (2020).Article 

Google Scholar 
Ghosh, S., Jung, C. & Meyer-Rochow, V. B. Nutritional value and chemical composition of larvae, pupae, and adults of worker honey bee, Apis mellifera ligustica as a sustainable food source. J. Asia-Pac. Entomol. 19, 487–495 (2016).Article 
CAS 

Google Scholar 
Ulmer, M., Smetana, S. & Heinz, V. Utilizing honeybee drone brood as a protein source for food products: Life cycle assessment of apiculture in Germany. Resour. Conser. Recy. 154, 104576. https://doi.org/10.1016/j.resconrec.2019.104576 (2020).Article 

Google Scholar 
FAO. Value-added products from beekeeping. FAO Agricultural Services Bulletin. https://www.fao.org/publications/card/en/c/a76265ff-7440-57a6-82da-21976b9fde8d (1996).FAO. Beekeeping and sustainable livelihoods. Diversification booklet 1. https://www.fao.org/3/y5110e/y5110e00.htm (2004).Halvorson, K., Baumung, R., Leroy, G., Chen, C. & Boettcher, P. Protection of honeybees and other pollinators: One global study. Apidologie 52, 535–547 (2021).Article 

Google Scholar 
Moritz, R. F. A. & Erler, S. Lost colonies found in a data mine: Global honey trade but not pests or pesticides as a major cause of regional honeybee colony declines. Agr. Ecosyst. Environ. 216, 44–50 (2016).Article 

Google Scholar 
Naug, D. Nutritional stress due to habitat loss may explain recent honeybee colony collapses. Biol. Conserv. 142, 2369–2372 (2009).Article 

Google Scholar 
Pohorecka, K., Szczęsna, T., Witek, M., Miszczak, A. & Sikorski, P. The exposure of honey bees to pesticide residues in the hive environment with regard to winter colony losses. J. Apicult. Sci. 61, 105 (2017).Article 
CAS 

Google Scholar 
Van Dooremalen, C. et al. Winter survival of individual honey bees and honey bee colonies depends on level of Varroa destructor infestation. PLoS ONE 7, e36285. https://doi.org/10.1371/journal.pone.0036285 (2012).Article 
ADS 
CAS 

Google Scholar 
Steinhauer, N. et al. Drivers of colony losses. Curr. Opin. Insect Sci. 26, 142–148 (2018).Article 

Google Scholar 
Brodschneider, R. et al. Multi-country loss rates of honey bee colonies during winter 2016/2017 from the COLOSS survey. J. Apic. Res. 57, 452–457 (2018).Article 

Google Scholar 
Degrandi-Hoffman, G., Graham, H., Ahumada, F., Smart, M. & Ziolkowski, N. The economics of honey bee (Hymenoptera: Apidae) management and overwintering strategies for colonies used to pollinate almonds. J. Econ. Entomol. 112(6), 2524–2533 (2019).Article 
CAS 

Google Scholar 
Porto, R. G. et al. Pollination ecosystem services: A comprehensive review of economic values, research funding and policy actions. Food Sec. 12, 1425–1442 (2020).Article 

Google Scholar 
Kielmanowicz, M. G. et al. Prospective large-scale field study generates predictive model identifying major contributors to colony losses. PLoS Pathog. 11, e1004816. https://doi.org/10.1371/journal.ppat.1004816 (2015).Article 
CAS 

Google Scholar 
Kulhanek, et al. A national survey of managed honey bee 2015–2016 annual colony losses in the USA. J. Apic. Res. 56(4), 328–340 (2017).Article 

Google Scholar 
van Engelsdorp, D. & Meixner, M. D. A historical review of managed honey bee populations in Europe and the United States and the factors that may affect them. J. Invertebr. Pathol. 103, S80–S95 (2010).Article 

Google Scholar 
Caron, D. M., Burgett, M., Rucker, R. & Thurman, W. Honey bee colony mortality in the Pacific Northwest winter 2008/2009. Am. Bee J. 150, 265–269 (2010).
Google Scholar 
Mashilingi, S. K., Zhang, H., Garibaldi, L. A. & An, J. Honeybees are far too insufficient to supply optimum pollination services in agricultural systems worldwide. Agric. Ecosyst. Environ. 335, 108003. https://doi.org/10.1016/j.agee.2022.108003 (2022).Article 

Google Scholar 
Kohsaka, R., Park, M. S. & Uchiyama, Y. Beekeeping and honey production in Japan and South Korea: Past and present. J. Ethn. Foods 4(2), 72–79 (2017).Article 

Google Scholar 
Walker, M. J., Cowen, S., Gray, K., Hancock, P. & Burns, D. T. Honey authenticity: The opacity of analytical reports – part 1 defining the problem. npj Sci. Food 6(1), 1–9 (2022).
Google Scholar 
Fakhlaei, R. et al. The toxic impact of honey adulteration: A review. Foods 9(11), 1538. https://doi.org/10.3390/foods9111538 (2020).Article 
CAS 

Google Scholar 
Rogers, R., Hassler, E., Carey, Q. & Cazier, J. More time to fly: With a warming climate the Western honey bee (Apis mellifera, Linnaeus) now has more temperature-eligible flight hours than 40 years ago. J. Apic. Res. https://doi.org/10.1080/00218839.2022.2073633 (2022).Article 

Google Scholar 
Aizen, M. A. & Harder, L. D. The global stock of domesticated honey bees is growing slower than agricultural demand for pollination. Curr. Biol. 19(11), 915–918 (2009).Article 
CAS 

Google Scholar 
FAO. Data collection. Food and Agriculture Statistics. https://www.fao.org/food-agriculture-statistics/data-collection/en/ (2022).Le Conte, Y. & Navajas, M. Climate change: Impact on honey bee populations and diseases. Rev. Sci. Tech. 27(2), 499–510 (2008).
Google Scholar 
R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org/ (2022).FAO. Crops and livestock products. FAOSTAT. https://www.fao.org/faostat/en/#data/QCL (2022).Global Change Data Lab. Global and regional population estimates (US Census Bureau vs. UN), World. Our World in Data. https://ourworldindata.org/grapher/global-and-regional-population-estimates-us-census-bureau-vs-un (2021).van Brakel, J. Peak signal detection in realtime timeseries data: Robust peak detection algorithm (using z-scores). Stack Overflow. https://stackoverflow.com/questions/22583391/ (2014).Rykov, Y., Thach, T.-Q., Bojic, I., Christopoulos, G. & Car, J. Digital biomarkers for depression screening with wearable devices: Cross-sectional study with machine learning modeling. JMIR Mhealth Uhealth 9, e24872 (2021).Article 

Google Scholar  More

Coyne, J. A. & Orr, H. A. Speciation 83–178 (Sinauer, 2004).Dieckmann, U., Doebeli, M., Metz, J. A. & Tautz, D. Adaptive Speciation (Cambridge University Press, 2004).Butlin, R. K., Galindo, J. & Grahame, J. W. Sympatric, parapatric or allopatric: the most important way to classify speciation? Philos. T. Roy. Soc. B 363, 2997–3007 (2008).Article 

Google Scholar 
Smadja, C. M. & Butlin, R. K. A framework for comparing processes of speciation in the presence of gene flow. Mol. Ecol. 20, 5123–5140 (2011).Article 

Google Scholar 
Seehausen, O. et al. Genomics and the origin of species. Nat. Rev. Genet. 15, 176–192 (2014).Article 
CAS 

Google Scholar 
Kulmuni, J., Butlin, R. K., Lucek, K., Savolainen, V. & Westram, A. M. Towards the completion of speciation: the evolution of reproductive isolation beyond the first barriers. Philos. T. Roy. Soc. B 375, 20190528 (2020).Article 

Google Scholar 
Hofreiter, M. & Stewart, J. Ecological change, range fluctuations and population dynamics during the Pleistocene. Curr. Biol. 19, R584–R594 (2009).Article 
CAS 

Google Scholar 
Longman, J., Mills, B. J. W., Manners, H. R., Gernon, T. M. & Palmer, M. R. Late Ordovician climate change and extinctions driven by elevated volcanic nutrient supply. Nat. Geosci. 14, 924–929 (2021).Article 
ADS 
CAS 

Google Scholar 
Thomson, R. C., Spink, P. Q. & Shaffer, H. B. A global phylogeny of turtles reveals a burst of climate-associated diversification on continental margins. Proc. Natl Acad. Sci. USA 118, e2012215118 (2021).Article 
CAS 

Google Scholar 
Chaboureau, A. C., Sepulchre, P., Donnadieu, Y. & Franc, A. Tectonic-driven climate change and the diversification of angiosperms. Proc. Natl Acad. Sci. USA 111, 14066–14070 (2014).Article 
ADS 
CAS 

Google Scholar 
Hewitt, G. The genetic legacy of the Quaternary ice ages. Nature 405, 907–913 (2000).Article 
ADS 
CAS 

Google Scholar 
Schmitt, T. Molecular biogeography of Europe: Pleistocene cycles and postglacial trends. Front. Zool. 4, 11 (2007).Article 

Google Scholar 
Haffer, J. Speciation in Amazonian forest birds. Science 165, 131–137 (1969).Article 
ADS 
CAS 

Google Scholar 
Ebdon, S. et al. The Pleistocene species pump past its prime: evidence from European butterfly sister species. Mol. Ecol. 30, 3575–3589 (2021).Article 

Google Scholar 
Excoffier, L., Foll, M. & Petit, R. J. Genetic consequences of range expansions. Annu. Rev. Ecol. Evol. Syst. 40, 481–501 (2009).Article 

Google Scholar 
Baker, H. G. Self-compatibility and establishment after ‘long-distance’ dispersal. Evolution 9, 347–349 (1955).
Google Scholar 
Fisher, R. The Genetical Theory of Natural Selection 125–129 (Oxford University Press, 1930).Endler, J. A. Geographic Variation, Speciation, and Clines. Monographs in Population Biology Vol. 10, 53–65, 142–150 (Princeton University Press, 1977).Doebeli, M. & Dieckmann, U. Speciation along environmental gradients. Nature 421, 259–264 (2003).Article 
ADS 
CAS 

Google Scholar 
Ispolatov, J. & Doebeli, M. Diversification along environmental gradients in spatially structured populations. Evol. Ecol. Res. 11, 295–304 (2009).
Google Scholar 
Rettelbach, A., Servedio, M. R. & Hermisson, J. Speciation in peripheral populations: effects of drift load and mating systems. J. Evol. Biol. 29, 1073–1090 (2016).Article 
CAS 

Google Scholar 
Wright, S. I., Kalisz, S. & Slotte, T. Evolutionary consequences of self-fertilization in plants. Proc. R. Soc. Lond. Ser. B 280, 20130133 (2013).
Google Scholar 
Hu, X.-S. Mating system as a barrier to gene flow. Evolution 69, 1158–1177 (2015).Article 
CAS 

Google Scholar 
Glémin, S. How are deleterious mutations purged? Drift versus nonrandom mating. Evolution 57, 2678–2687 (2003).
Google Scholar 
Warwick, S. I., Francis, A. & Al-Shehbaz, I. A. Brassicaceae: species checklist and database on CD-Rom. Plant Syst. Evol. 259, 249–258 (2006).Article 

Google Scholar 
Warwick, S. I., Al-Shehbaz, I. A. & Sauder, C. A. Phylogenetic position of Arabis arenicola and generic limits of Aphragmus and Eutrema (Brassicaceae) based on sequences of nuclear ribosomal DNA. Can. J. Bot. 84, 269–281 (2006).Article 
CAS 

Google Scholar 
Hohmann, N. et al. Taming the wild: resolving the gene pools of non-model Arabidopsis lineages. BMC Evol. Biol. 14, e224 (2014).Article 

Google Scholar 
Novikova, P. Y. et al. Sequencing of the genus Arabidopsis identifies a complex history of nonbifurcating speciation and abundant trans-specific polymorphism. Nat. Genet. 48, 1077–1082 (2016).Article 
CAS 

Google Scholar 
Perrier, A. & Willi, Y. Intraspecific variation in reproductive barriers between two recently-diverged, allopatric Arabidopsis species. J. Evol. Biol. https://doi.org/10.1111/jeb.14122 (2022). (in press).Griffin, P. C. & Willi, Y. Evolutionary shifts to self-fertilisation restricted to geographic range margins in North American Arabidopsis lyrata. Ecol. Lett. 17, 484–490 (2014).Article 
CAS 

Google Scholar 
Willi, Y., Fracassetti, M., Zoller, S. & Van Buskirk, J. Accumulation of mutational load at the edges of a species range. Mol. Biol. Evol. 35, 781–791 (2018).Article 
CAS 

Google Scholar 
Schmickl, R., Jørgensen, M. H., Brysting, A. K. & Koch, M. A. The evolutionary history of the Arabidopsis lyrata complex: a hybrid in the Amphi-Beringian area closes a large distribution gap and builds up a genetic barrier. BMC Evol. Biol. 10, e98 (2010).Article 

Google Scholar 
Pyhäjärvi, T., Aalto, E. & Savolainen, O. Time scales of divergence and speciation among natural populations and subspecies of Arabidopsis lyrata (Brassicaceae). Am. J. Bot. 99, 1314–1322 (2012).Article 

Google Scholar 
Dyke, A. S. in Quaternary Glaciations – Extent and Chronology, Part II: North America (Elsevier, Amsterdam, 2004).Kirkpatrick, M. & Ravigné, V. Speciation by natural and sexual selection: models and experiments. Am. Nat. 159, S22–S35 (2002).Article 

Google Scholar 
Igic, B., Lande, R. & Kohn, J. R. Loss of self‐incompatibility and its evolutionary consequences. Int. J. Plant Sci. 169, 93–104 (2008).Article 

Google Scholar 
Willi, Y. & Määttänen, K. Evolutionary dynamics of mating system shifts in Arabidopsis lyrata. J. Evol. Biol. 23, 2123–2131 (2010).Article 
CAS 

Google Scholar 
Lucek, K. & Willi, Y. Drivers of linkage disequilibrium across a species’ geographic range. PLoS Genet. 17, e1009477 (2021).Article 
CAS 

Google Scholar 
Pironon, S. et al. Geographic variation in genetic and demographic performance: new insights from an old biogeographical paradigm: the centre-periphery hypothesis. Biol. Rev. 92, 1877–1909 (2017).Article 

Google Scholar 
Encinas-Viso, F., Young, A. G. & Pannell, J. R. The loss of self-incompatibility in a range expansion. J. Evol. Biol. 33, 1235–1244 (2020).Article 

Google Scholar 
Jarne, P. & Auld, J. R. Animals mix it up too: the distribution of self-fertilization among hermaphroditic animals. Evolution 60, 1816–1824 (2006).
Google Scholar 
Foxe, J. P. et al. Reconstructing origins of loss of self-incompatibility and selfing in North American Arabidopsis lyrata: a population genetic context. Evolution 64, 3495–3510 (2010).Article 

Google Scholar 
Koski, M. H., Layman, N. C., Prior, C. J., Busch, J. W. & Galloway, L. F. Selfing ability and drift load evolve with range expansion. Evol. Lett. 3, 500–512 (2019).Article 

Google Scholar 
Prior, C. J. & Busch, J. W. Selfing rate variation within species is unrelated to life‐history traits or geographic range position. Am. J. Bot. 108, 2294–2308 (2021).Article 

Google Scholar 
Skeels, A. & Cardillo, M. Reconstructing the geography of speciation from contemporary biodiversity data. Am. Nat. 193, 240–254 (2019).Article 

Google Scholar 
Sánchez-Castro, D., Perrier, A. & Willi, Y. Reduced climate adaptation at range edges in North American Arabidopsis lyrata. Glob. Ecol. Biogeogr. 31, 1066–1077 (2022).Article 

Google Scholar 
Roessler, K. et al. The genome-wide dynamics of purging during selfing in maize. Nat. Plants 5, 980–990 (2019).Article 
CAS 

Google Scholar 
Li, H. Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM. Preprint at https://arxiv.org/abs/1303.3997 (2013).Hu, T. T. et al. The Arabidopsis lyrata genome sequence and the basis of rapid genome size change. Nat. Genet. 43, 476–481 (2011).Article 

Google Scholar 
Li, H. et al. The sequence alignment/map format and SAMtools. Bioinformatics 25, 2078–2079 (2009).Article 

Google Scholar 
McKenna, A. et al. The genome analysis toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 20, 1297–1303 (2010).Article 
CAS 

Google Scholar 
Cingolani, P. et al. A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3. Fly 6, 80–92 (2012).Article 
CAS 

Google Scholar 
Alexander, D. H., Novembre, J. & Lange, K. Fast model-based estimation of ancestry in unrelated individuals. Genome Res. 19, 1655–1664 (2009).Article 
CAS 

Google Scholar 
Danecek, P. et al. The variant call format and VCFtools. Bioinformatics 27, 2156–2158 (2011).Article 
CAS 

Google Scholar 
Stamatakis, A. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics 30, 1312–1313 (2014).Article 
CAS 

Google Scholar 
Pickrell, J. K. & Pritchard, J. K. Inference of population splits and mixtures from genome-wide allele frequency data. PLoS Genet. 8, e1002967 (2012).Article 
CAS 

Google Scholar 
Excoffier, L., Dupanloup, I., Huerta-Sánchez, E., Sousa, V. C. & Foll, M. Robust demographic inference from genomic and SNP data. PLoS Genet. 9, e1003905 (2013).Article 

Google Scholar 
Marchi, N. et al. The genomic origins of the world’s first farmers. Cell 185, 1842–1859 (2022).Article 
CAS 

Google Scholar 
Li, H. & Durbin, R. Inference of human population history from individual whole-genome sequences. Nature 475, 493–496 (2011).Article 
CAS 

Google Scholar 
Genete, M., Castric, V. & Vekemans, X. Genotyping and de novo discovery of allelic variants at the Brassicaceae self-incompatibility locus from short-read sequencing data. Mol. Biol. Evol. 7, 1193–1201 (2020).Article 

Google Scholar 
Lynch, M. et al. Genome-wide linkage-disequilibrium profiles from single individuals. Genetics 198, 269–281 (2014).Article 

Google Scholar 
R Core Team. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria (2021).Paradis, E. & Schliep, K. ape 5.0: an environment for modern phylogenetics and evolutionary analyses in R. Bioinformatics 35, 526–528 (2019).Article 
CAS 

Google Scholar 
Nychka, D., Furrer, R., Paige, J. & Sain, S. fields: tools for spatial data. R package version 14.1 https://github.com/dnychka/fieldsRPackage (2021).Asquith, W. lmomco—L-moments, censored L-moments, trimmed L-moments, L-comoments, and many distributions. R package version 2.4.7 (2022).Revell, L. J. phytools: an R package for phylogenetic comparative biology (and other things). Methods Ecol. Evol. 3, 217–223 (2012).Article 

Google Scholar 
Lemon, J. Plotrix: a package in the red light district of R. R. N. 6, 8–12 (2006).
Google Scholar 
Pebesma, E. J. & Bivand, R. S. Classes and methods for spatial data in R. R. N. 5, 9–13 (2005).
Google Scholar 
Bivand, R. S., Pebesma, E. & Gomez-Rubio, V. Applied Spatial Data Analysis with R Second edition (Springer, 2013). More

Lenoir, J. et al. Species better track climate warming in the oceans than on land. Nat. Ecol. Evol. 4(8), 1044–1059 (2020).Article 

Google Scholar 
Hobbs, R. J., Valentine, L. E., Standish, R. J. & Jackson, S. T. Movers and stayers: Novel assemblages in changing environments. Trends Ecol. Evol. 33, 116–128 (2017).Article 

Google Scholar 
Gilman, S. E., Urban, M. C., Tewksbury, J., Gilchrist, G. W. & Holt, R. D. A framework for community interactions under climate change. Trends Ecol. Evol. 25, 325–331 (2010).Article 

Google Scholar 
Ockendon, N. et al. Mechanisms underpinning climatic impacts on natural populations: Altered species interactions are more important than direct effects. Glob. Change Biol. 20, 2221–2229 (2014).Article 
ADS 

Google Scholar 
Gómez-Aparicio, L., García-Valdés, R., Ruíz-Benito, P. & Zavala, M. A. Disentangling the relative importance of climate, size and competition on tree growth in Iberian forests: Implications for forest management under global change. Glob. Change Biol. 17, 2400–2414 (2011).Article 
ADS 

Google Scholar 
Pecl, G. T. et al. Biodiversity redistribution under climate change: Impacts on ecosystems and human well-being. Science https://doi.org/10.1126/science.aai9214 (2017).Article 

Google Scholar 
Scheffers, B. R. et al. The broad footprint of climate change from genes to biomes to people. Science 354, aaf7671. https://doi.org/10.1126/science.aaf7671 (2016).Article 
CAS 

Google Scholar 
Vergés, A. et al. The tropicalization of temperate marine ecosystems: Climate-mediated changes in herbivory and community phase shifts. Proc. R. Soc. B-Biol. Sci. 281, 20140846. https://doi.org/10.1098/rspb.2014.0846 (2014).Article 

Google Scholar 
Poore, A. G. B. et al. Global patterns in the impact of marine herbivores on benthic primary producers. Ecol. Lett. 15, 912–922. https://doi.org/10.1111/j.1461-0248.2012.01804.x (2012).Article 

Google Scholar 
Bennett, S., Wernberg, T., Harvey, E. S., Santana-Garcon, J. & Saunders, B. J. Tropical herbivores provide resilience to a climate-mediated phase shift on temperate reefs. Ecol. Lett. 18, 714–723 (2015).Article 

Google Scholar 
Vergés, A. et al. Long-term empirical evidence of ocean warming leading to tropicalization of fish communities, increased herbivory and loss of kelp. Proc. Natl. Acad. Sci. 113(48), 13791–13796 (2016).Article 
ADS 

Google Scholar 
Vergés, A. et al. Tropical rabbitfish and the deforestation of a warming temperate sea. J. Ecol. 102, 1518–1527. https://doi.org/10.1111/1365-2745.12324 (2014).Article 

Google Scholar 
Kumagai, N. H. et al. Ocean currents and herbivory drive macroalgae-to-coral community shift under climate warming. Proc. Natl. Acad. Sci. 115, 8990–8995 (2018).Article 
ADS 
CAS 

Google Scholar 
Demko, A. M. et al. Declines in plant palatability from polar to tropical latitudes depend on herbivore and plant identity. Ecology 98, 2312–2321. https://doi.org/10.1002/ecy.1918 (2017).Article 

Google Scholar 
Floeter, S. R., Behrens, M. D., Ferreira, C. E. L., Paddack, M. J. & Horn, M. H. Geographical gradients of marine herbivorous fishes: Patterns and processes. Mar Biol 147, 1435–1447 (2005).Article 

Google Scholar 
Longo, G. O., Hay, M. E., Ferreira, C. E. L. & Floeter, S. R. Trophic interactions across 61 degrees of latitude in the Western Atlantic. Glob. Ecol. Biogeogr. 28, 107–117. https://doi.org/10.1111/geb.12806 (2019).Article 

Google Scholar 
Bolser, R. & Hay, M. Are tropical plants better defended? Palatability and defenses of temperate versus tropical seaweeds. Ecology 77, 2269–2286 (1996).Article 

Google Scholar 
Borer, E. T. et al. Global biogeography of autotroph chemistry: is insolation a driving force?. Oikos 122, 1121–1130. https://doi.org/10.1111/j.1600-0706.2013.00465.x (2013).Article 
CAS 

Google Scholar 
Miranda, T. et al. Convictfish on the move: Variation in growth and trophic niche space along a latitudinal gradient. ICES J. Mar. Sci. https://doi.org/10.1093/icesjms/fsz098%JICESJournalofMarineScience (2019).Article 

Google Scholar 
Linton, S. M. The structure and function of cellulase (endo-β-1, 4-glucanase) and hemicellulase (β-1, 3-glucanase and endo-β-1, 4-mannase) enzymes in invertebrates that consume materials ranging from microbes, algae to leaf litter. Comp. Biochem. Physiol. B Biochem. Mol. Biol. 240, 110354 (2020).Article 
CAS 

Google Scholar 
Poloczanska, E. S. et al. Global imprint of climate change on marine life. Nat. Clim. Change 3, 919–925. https://doi.org/10.1038/nclimate1958 (2013).Article 
ADS 

Google Scholar 
Nakamura, Y., Feary, D. A., Kanda, M. & Yamaoka, K. Tropical fishes dominate temperate reef fish communities within western Japan. PLoS ONE 8, e81107 (2013).Article 
ADS 

Google Scholar 
Tanaka, K., Taino, S., Haraguchi, H., Prendergast, G. & Hiraoka, M. Warming off southwestern Japan linked to distributional shifts of subtidal canopy-forming seaweeds. Ecol. Evol. 2, 2854–2865. https://doi.org/10.1002/ece3.391 (2012).Article 

Google Scholar 
Pessarrodona, A. et al. Homogenization and miniaturization of habitat structure in temperate marine forests. Glob. Change Biol. 27, 5262–5275 (2021).Article 
CAS 

Google Scholar 
Yamano, H., Sugihara, K. & Nomura, K. Rapid poleward range expansion of tropical reef corals in response to rising sea surface temperatures. Geophys. Res. Lett. 38, L04601. https://doi.org/10.1029/2010gl046474 (2011).Article 
ADS 

Google Scholar 
Mezaki, T. & Kubota, S. Changes of hermatypic coral community in coastal sea area of Kochi, high-latitude Japan. Aquabiology 201, 332–337 (2012).
Google Scholar 
Serisawa, Y., Imoto, Z., Ishikawa, T. & Ohno, M. Decline of the Ecklonia cava population associated with increased seawater temperatures in Tosa Bay, southern Japan. Fish Sci 70, 189–191. https://doi.org/10.1111/j.0919-9268.2004.00788.x (2004).Article 
CAS 

Google Scholar 
Kiriyama, T., Mitsunaga, N., Yasumoto, S., Fujii, A. & Yotsui, T. Undergrown phenomenon of brown alga, Hizikia fusiformis, thought to be caused by grazing of herbivores at Tsutsuura, Tsushima Islands [Japan]. Bulletin of Nagasaki Prefectural Institute of Fisheries (Japan) (1999).Kiriyama, T., Fujii, A. & Fujita, Y. Feeding and characteristic bite marks on Sargassum fusiforme by several herbivorous fishes. Aquac. Sci. 53, 355–365 (2005).
Google Scholar 
Yatsuya, K., Kiriyama, T., Kiyomoto, S., Taneda, T. & Yoshimura, T. On the deterioration process of Ecklonia and Eisenia beds observed in 2013 at Gounoura, Iki Island, Nagasaki Prefecture, Japan.-Initiation of the bed degradation due to high water temperature in summer and subsequent cascading effect by the grazing of herbivorous fish in autumn. Algal Resour. 7, 79–94 (2014).
Google Scholar 
Noda, M., Ohara, H., Murase, N., Ikeda, I. & Yamamoto, K. The grazing of Eisenia bicyclis and several species of Sargassaceous and Cystoseiraceous seaweeds by Siganus fuscescens in relation to the differences of species composition of their seaweed beds. Nippon Suisan Gakkaishi 80, 201–213 (2014).Article 

Google Scholar 
Noda, M., Kinoshita, J., Tanada, N. & Murase, N. Characteristics of bite scars observed in kelp forests of Lessoniaceae denuded by short-term foraging damages of the herbivorous fish Siganus fuscecens. J. Natl. Fish. Univ. 66, 111–122 (2018).
Google Scholar 
Wernberg, T. et al. Seaweed communities in retreat from ocean warming. Curr. Biol. 21, 1828–1832. https://doi.org/10.1016/j.cub.2011.09.028 (2011).Article 
CAS 

Google Scholar 
Terazono, Y., Nakamura, Y., Imoto, Z. & Hiraoka, M. Fish response to expanding tropical Sargassum beds on the temperate coasts of Japan. Mar. Ecol. Prog. Ser. 464, 209–220. https://doi.org/10.3354/meps09873 (2012).Article 
ADS 

Google Scholar 
Duffy, J. E. & Hay, M. E. Seaweed adaptations to herbivory – chemical, structural, and morphological defenses are often adjusted to spatial or temporal patterns of attack. Bioscience 40, 368–375 (1990).Article 

Google Scholar 
Endo, H., Suehiro, K., Kinoshita, J. & Agatsuma, Y. Combined effects of temperature and nutrient enrichment on palatability of the brown alga Sargassum yezoense (Yamada) Yoshida & T. Konno. Am. J. Plant Sci. 6, 275 (2015).Article 
CAS 

Google Scholar 
Clements, K. D., German, D. P., Piché, J., Tribollet, A. & Choat, J. H. Integrating ecological roles and trophic diversification on coral reefs: Multiple lines of evidence identify parrotfishes as microphages. Biol. J. Linn. Soc. 120, 729–751. https://doi.org/10.1111/bij.12914 (2017).Article 

Google Scholar 
Wang, Y., Naumann, U., Wright, S. T. & Warton, D. I. mvabund–an R package for model-based analysis of multivariate abundance data. Methods Ecol. Evol. 3, 471–474 (2012).Article 

Google Scholar 
Wilson, S. K., Bellwood, D. R., Choat, J. H. & Furnas, M. J. Detritus in the epilithic algal matrix and its use by coral reef fishes. Oceanogr. Mar. Biol. Annu. Rev. 41, 279–309 (2003).
Google Scholar 
Helfman, G. S. in The Behaviour of Teleost Fishes 366–387 (Springer, 1986).Prince, J., LeBlanc, W. & Maciá, S. Design and analysis of multiple choice feeding preference data. Oecologia 138, 1–4 (2004).Article 
ADS 

Google Scholar 
Hartig, F. DHARMa: residual diagnostics for hierarchical (multi-level/mixed) regression models. R package version 0.3 3 (2020).Ohno, M. & Ishikawa, M. Physiological ecology of brown alga, Ecklonia on coast of Tosa Bay, southern Japan. I. Seasonal variation of Ecklonia bed. Rep. USA Marine Biol. Inst. Kochi Univ. 4, 59–73 (1982).
Google Scholar 
Agostini, S. et al. Simplification, not “tropicalization”, of temperate marine ecosystems under ocean warming and acidification. Glob. Change Biol. 27, 4771–4784 (2021).Article 
CAS 

Google Scholar 
Clements, K. & Choat, J. Influence of season, ontogeny and tide on the diet of the temperate marine herbivorous fish Odax pullus (Odacidae). Mar. Biol. 117, 213–220 (1993).Article 

Google Scholar 
Mizuta, H., Hayasaki, J. & Yamamoto, H. Relationship between nitrogen content and sorus formation in the brown alga Laminaria japonica cultivated in southern Hokkaido, Japan. Fish. Sci. 64, 909–913 (1998).Article 
CAS 

Google Scholar 
Kumura, T., Yasui, H. & Mizuta, H. Nutrient requirement for zoospore formation in two alariaceous plants Undaria pinnatifida (Harvey) Suringar and Alaria crassifolia Kjellman (Phaeophyceae: Laminariales). Fish. Sci. 72, 860–869 (2006).Article 
CAS 

Google Scholar 
Qiu, Z. et al. Future climate change is predicted to affect the microbiome and condition of habitat-forming kelp. Proc. R. Soc. B 286, 20181887 (2019).Article 

Google Scholar 
Hoey, A. S. & Bellwood, D. R. Limited functional redundancy in a high diversity system: Single species dominates key ecological process on coral reefs. Ecosystems 12, 1316–1328. https://doi.org/10.1007/s10021-009-9291-z (2009).Article 

Google Scholar 
Streit, R. P., Hoey, A. S. & Bellwood, D. R. Feeding characteristics reveal functional distinctions among browsing herbivorous fishes on coral reefs. Coral Reefs 34, 1037–1047 (2015).Article 
ADS 

Google Scholar 
Van Alstyne, K. L. & Paul, V. J. The biogeography of polyphenolic compounds in marine macroalgae – Temperate brown algal defenses deter feeding by tropical herbivorous fishes. Oecologia 84, 158–163 (1990).Article 
ADS 

Google Scholar 
Targett, N. M., Boettcher, A. A., Targett, T. E. & Vrolijk, N. H. Tropical marine herbivore assimilation of phenolic-rich plants. Oecologia 103, 170–179 (1995).Article 
ADS 

Google Scholar 
Prado, P. & Heck, K. L. Seagrass selection by omnivorous and herbivorous consumers: Determining factors. Mar. Ecol. Prog. Ser. 429, 45–55. https://doi.org/10.3354/meps09076 (2011).Article 
ADS 

Google Scholar 
Montgomery, W. L. & Gerking, S. D. Marine macroalgae as foods for fishes: an evaluation of potential food quality. Environ. Biol. Fish. 5, 143–153 (1980).Article 

Google Scholar 
Duffy, J. & Paul & V.J.,. Prey nutritional quality and the effectiveness of chemical defenses against tropical reef fishes. Oecologia 90, 333–339 (1992).Article 
ADS 
CAS 

Google Scholar 
Michael, P. J., Hyndes, G. A., Vanderklift, M. A. & Vergés, A. Identity and behaviour of herbivorous fish influence large-scale spatial patterns of macroalgal herbivory in a coral reef. Mar. Ecol. Prog. Ser. 482, 227–240 (2013).Article 
ADS 

Google Scholar 
Bennett, S. & Bellwood, D. R. Latitudinal variation in macroalgal consumption by fishes on the Great Barrier Reef. Mar. Ecol. Prog. Ser. 426, 241–252 (2011).Article 
ADS 

Google Scholar 
Zarco-Perello, S., Wernberg, T., Langlois, T. J. & Vanderklift, M. A. Tropicalization strengthens consumer pressure on habitat-forming seaweeds. Sci. Rep. 7, 820. https://doi.org/10.1038/s41598-017-00991-2 (2017).Article 
ADS 
CAS 

Google Scholar 
Smith, S. M. et al. Tropicalisation and kelp loss shift trophic composition and lead to more winners than losers in fish communities. Glob. Change Biol. 27(11), 2537–2548 (2021).Article 
ADS 
CAS 

Google Scholar 
Zarco-Perello, S. et al. Range-extending tropical herbivores increase diversity, intensity and extent of herbivory functions in temperate marine ecosystems. Funct. Ecol. 34, 2411–2421. https://doi.org/10.1111/1365-2435.13662 (2020).Article 

Google Scholar  More