Spalding, M., Kainuma, M. & Collins, L. World Atlas of Mangroves. (Earthscan, 2010).
Duke, N. et al. A world without mangroves?. Science 317, 41–42 (2007).
Google Scholar
Friess, D. et al. The state of the world’s mangrove forests: past, present, and future. Annu. Rev. Env. Resour. 44, 89–115 (2019).
Google Scholar
Wee, et al. The integration and application of genomic information in mangrove conservation. Conserv. Biol. 33, 206–209 (2019).
Google Scholar
Duke, N., Lo, E. & Sun, M. Global distribution and genetic discontinuities of mangroves—emerging patterns in the evolution of Rhizophora. Trees-Struct. Funct. 16, 65–79 (2002).
Google Scholar
Ellison, A. M., Farnsworth, E. J. & Merkt, R. E. Origins of mangrove ecosystems and the mangrove biodiversity anomaly. Global Ecol. Biogeogr. 8, 95–115 (1999).
Plaziat, J.-C., Cavagnetto, C., Koeniguer, J.-C. & Baltzer, F. History and biogeography of the mangrove ecosystem, based on a critical reassessment of the paleontological record. Wetl. Ecol. Manag. 9, 161–180 (2001).
Google Scholar
Duke, N., Ball, M. & Ellison, J. Factors influencing biodiversity and distributional gradients in mangroves. Global Ecol. Biogeogr. Lett. 7, 27–47 (1998).
Google Scholar
Duke, N. Genetic diversity, distributional barriers and rafting continents—more thoughts on the evolution of mangroves. Hydrobiologia 295, 167–181 (1995).
Google Scholar
Tomlinson, P. B. The botany of mangroves. (Cambridge University press, 1986).
Schwarzbach, A. E. & Ricklefs, R. E. Systematic affinities of Rhizophoraceae and Anisophylleaceae, and intergeneric relationships within Rhizophoraceae, based on chloroplast DNA, nuclear ribosomal DNA, and morphology. Am. J. Bot. 87, 547–564 (2000).
Google Scholar
Lo, E. Y. Y. Testing hybridization hypotheses and evaluating the evolutionary potential of hybrids in mangrove plant species. J. Evol. Biol. 23, 2249–2261 (2010).
Google Scholar
Takayama, K., Tamura, M., Tateishi, Y., Webb, E. L. & Kajita, T. Strong genetic structure over the American continents and transoceanic dispersal in the mangrove genus Rhizophora (Rhizophoraceae) revealed by broad-scale nuclear and chloroplast DNA analysis. Am. J. Bot. 100, 1191–1201 (2013).
Google Scholar
Lo, E., Duke, N. & Sun, M. Phylogeographic pattern of Rhizophora (Rhizophoraceae) reveals the importance of both vicariance and long-distance oceanic dispersal to modern mangrove distribution. BMC Evol. Biol. 14, 83 (2014).
Google Scholar
Chen, Y. et al. Applications of multiple nuclear genes to the molecular phylogeny, population genetics and hybrid identification in the mangrove genus Rhizophora. PLoS ONE 10, e0145058 (2015).
Google Scholar
Xu, S. H. et al. The origin, diversification and adaptation of a major mangrove clade (Rhizophoreae) revealed by whole-genome sequencing. Natl. Sci. Rev. 4, 721–734 (2017).
Google Scholar
Tyagi, A. P. Cytogenetics and reproductive biology of mangroves in Rhizophoraceae. Aust. J. Bot. 50, 601–605 (2002).
Google Scholar
Tyagi, A. P. Chromosomal Pairing and Pollen Viability in Rhizophora mangle and Rhizophora stylosa Hybrids. S. Pac. J. Nat. Sci. 20, 1–3 (2002).
Google Scholar
Tyagi, A. P. & Singh, E. V. V. Pollen fertility and intraspecific and interspecific compatibility in mangroves of Fiji. Sex. Plant Reprod. 11, 60–63 (1998).
Google Scholar
Steininger, F. F. & Rögl, F. Paleogeography and palinspastic reconstruction of the Neogene of the Mediterranean and Paratethys. Geol. Soc. Spec. Publ. 17, 659–668 (1984).
Google Scholar
Harzhauser, M. et al. Biogeographic responses to geodynamics: a key study all around the Oligo-Miocene Tethyan Seaway. Zoo. Anz. 246, 241–256 (2007).
Google Scholar
Vrielynck, B., Odin, G. & Dercourt, J. Miocene palaeogeography of the Tethys Ocean; potential global correlations in the Mediterranean. Miocene stratigraphy: an integrated approach. Elsevier Science, (1997).
Harzhauser, M., Piller, W. E. & Steininger, F. F. Circum-Mediterranean Oligo-Miocene biogeographic evolution—the gastropods’ point of view. Palaeogeogr. Palaeoclimatol. Palaeoecol. 183, 103–133 (2002).
Google Scholar
Dercourt, J. et al. Geological evolution of the Tethys belt from the Atlantic to the Pamirs since the LIAS. Tectonophysics 123, 241–315 (1986).
Google Scholar
Marko, P. B. Fossil calibration of molecular clocks and the divergence times of geminate species pairs separated by the Isthmus of Panama. Mol. Biol. Evol. 19, 2005–2021 (2002).
Google Scholar
Saenger, P. Mangrove vegetation: an evolutionary perspective. Mar. Freshw. Res. 49, 277–286 (1998).
Google Scholar
Muller, J. & Caratini, C. Pollen of Rhizophora (Rhizophoraceae) as a guide fossil. Pollen Spores 19, 361–390 (1977).
Muller, J. Fossil pollen records of extant angiosperms. Bot. Rev. 47, 1–142 (1981).
Google Scholar
Germeraad, J. H., Hopping, C. A. & Muller, J. Palynology of tertiary sediments from tropical areas. Rev. Palaeobot. Palyno. 6, 189–348 (1968).
Google Scholar
Zachos, J., Pagani, H., Sloan, L., Thomas, E. & Billups, K. Trends, rhythms, and aberrations in global climate 65 Ma to present. Science 292, 686–693 (2001).
Google Scholar
Pole, M. S. & Macphail, M. K. Eocene Nypa from Regatta Point, Tasmania. Rev. Palaeobot. Palyno. 92, 55–67 (1996).
Google Scholar
Hornibrook, N. D. B. New Zealand Cenozoic marine paleoclimates: a review based on the distribution of some shallow water and terrestrial biota. Pacific Neogene: environment, evolution, and events, 83–106 University of Tokyo Press, (1992).
Hou, Z. & Li, S. Tethyan changes shaped aquatic diversification. Biol. Rev. 93, 874–896 (2018).
Google Scholar
Wee, A. K. S. et al. Genetic differentiation and phylogeography of partially sympatric species complex Rhizophora mucronata Lam. and R. stylosa Griff. using SSR markers. BMC Evol. Biol. 15, 57 (2015).
Google Scholar
Ng, W. L. et al. Closely related and sympatric but not all the same: genetic variation of Indo-West Pacific Rhizophora mangroves across the Malay Peninsula. Conserv. Genet. 16, 137–150 (2015).
Google Scholar
Doyle, J. & Doyle, J. A rapid DNA isolation procedure for small quantities of fresh leaf tissue. Phytochem. Bull. 9, 11–15 (1987).
Strand, A. E., Leebens-Mack, J. & Milligan, B. G. Nuclear DNA-based markers for plant evolutionary biology. Mol. Ecol. 6, 113–118 (1997).
Google Scholar
Cronn, R. C., Small, R. L. & Wendel, J. F. Duplicated genes evolve independently after polyploid formation in cotton. Proc. Natl. Acad. Sci. USA 96, 14406–14411 (1999).
Google Scholar
Hayashi, K. PCR-SSCP: a simple and sensitive method for detection of mutations in the genomic DNA. Genome Res. 1, 34–38 (1991).
Google Scholar
Rozas, J., Sanchez-DelBarrio, J. C., Messeguer, X. & Rozas, R. DnaSP, DNA polymorphism analyses by the coalescent and other methods. Bioinformatics 19, 2496–2497 (2003).
Google Scholar
Swofford, D.L. PAUP*. Phylogenetic Analysis Using Parsimony (*and Other Methods). Sinauer Associates, Sunderland, Massachusetts, (2002).
Stamatakis, A. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics 30, 1312–1313 (2014).
Google Scholar
Leigh, J. W. & Bryant, D. PopART: Full-feature software for haplotype network construction. Methods Ecol. Evol. 6, 1110–1116 (2015).
Google Scholar
Bandelt, H. J., Forster, P. & Röhl, A. Median-joining networks for inferring intraspecific phylogenies. Mol. Biol. Evol. 16, I37-48 (1999).
Google Scholar
Drummond, A. J. & Rambaut, A. BEAST: Bayesian evolutionary analysis by sampling trees. BMC Evol. Biol. 7, 214 (2007).
Google Scholar
Heled, J. & Drummond, A. J. Bayesian inference of species trees from multilocus data. Mol. Biol. Evol. 27, 570–580 (2009).
Google Scholar
Graham, A. Paleobotanical evidence and molecular data in reconstructing the historical phytogeography of Rhizophoraceae. Ann. Mo. Bot. Gard. 93, 325–334 (2006).
Google Scholar
Rambaut, A. Fig Tree v1.4. (2012). Available at http://tree.bio.ed.ac.uk/software/figtree/
Matzke, N. J. Probabilistic historical biogeography: new models for founder-event speciation, imperfect detection, and fossils allow improved accuracy and model-testing. Front. Biogeogr. 5, 242–248 (2013).
Google Scholar
Blair, C. & He, X. J. RASP 4: ancestral state reconstruction tool for multiple genes and characters. Mol. Biol. Evol. 37, 604–606 (2020).
Google Scholar
Takayama, K., Tamura, M., Tateishi, Y. & Kajita, T. Isolation and characterization of microsatellite loci in a mangrove species, Rhizophora stylosa (Rhizophoraceae). Conserv. Genet. Resour. 1, 175–178 (2009).
Google Scholar
Takayama, K., Tamura, M., Tateishi, Y. & Kajita, T. Isolation and characterization of microsatellite loci in the red mangrove Rhizophora mangle (Rhizophoraceae) and its related species. Conserv. Genet. 9, 1323–1325 (2008).
Google Scholar
Pritchard, J. K., Stephens, M. & Donnelly, P. Inference of population structure using multilocus genotype data. Genetics 155, 945–959 (2000).
Google Scholar
Falush, D., Stephens, M. & Pritchard, J. K. Inference of population structure using multilocus genotype data: dominant markers and null alleles. Mol. Ecol. Notes. 7, 574–578 (2007).
Google Scholar
Hubisz, M. J., Falush, D., Stephens, M. & Pritchard, J. K. Inferring weak population structure with the assistance of sample group information. Mol. Ecol. Resour. 9, 1322–1332 (2009).
Google Scholar
Evanno, G., Regnaut, S. & Goudet, J. Detecting the number of clusters of individuals using the software structure: a simulation study. Mol. Ecol. 14, 2611–2620 (2005).
Google Scholar
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