Abstract
Seagrasses constitute a significant part of coral reef ecosystems, representing high primary productivity and one of the most important coastal habitats in marine ecosystems. Though seagrasses possess irreplaceable ecological services to the marine environment, taxonomical ambiguity still exists due to similar morphological characters and phenotypic plasticity. As an emerging technology, DNA barcoding can effectively identify cryptic species using a short orthologous DNA region. In this study, we collected samples from five different locations (Daya Bay, Xincun Bay, Sanya Bay, Xisha Islands, and Nansha Islands), and three seagrass species Cymodocea rotundata, Thalassia hemprichii and Halophila ovalis was evaluated. Moreover, ITS, matK and rbcL genes were used as DNA barcodes. The results indicated that single ITS and concatenated ITS/matK/rbcL both conducted better species resolution than single matK and rbcL. Nevertheless, single ITS was more convenient. Furthermore, in all the four topology trees, three species resolved as 3 clusters as well H. ovalis and T. hemprichii grouped as sister clade. In the meantime, differentiation lay in intra-species based on the result of single ITS and three-locus analysis. Within H. ovalis and T. hemprichii separately, individuals from Xisha Islands first group together, then grouped with individuals from Nansha Islands and/or Xincun Bay and/or Sanya Bay and/or Daya Bay, which indicated that geographical distribution influenced population evolution. However, intra-species differentiation did not emerge in the tree of matK or rbcL.
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Acknowledgements
The authors would like to thank all of the members of the Tropical Marine Biological Research Station in Hainan for their helping work in sample collecting.
Funding
The research was supported by the National Natural Science Foundation of China (41676163, 41276114), Strategic Priority Research Program of the Chinese Academy of Sciences (XDA13020300), Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (GML2019ZD0402), Innovation Academy of South China Sea Ecology and Environmental Engineering, Chinese Academy of Sciences (ISEE2018ZD02), National Key Research and Development Program of China (2017YFC0506301, 2018YFC1406505, 2018FY100105), Guangdong Province Public Welfare Research and Capacity Building Project (2015A020216016), Pearl River S&T Nova Program of Guangzhou (201806010017), and Science and Technology Planning Project of Guangdong Province, China (2020B1212060058).
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Lin, X., Dong, J., Yang, Q. et al. Identification of three seagrass species in coral reef ecosystem by using multiple genes of DNA barcoding. Ecotoxicology 30, 919–928 (2021). https://doi.org/10.1007/s10646-021-02397-3
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DOI: https://doi.org/10.1007/s10646-021-02397-3