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ArticlePopulation genetic structure of the deep‐sea mussel Bathymodiolus platifrons (Bivalvia: Mytilidae) in the Northwest Pacific(John Wiley & Sons, 2018-08-21) Xu, Ting ; Sun, Jin ; Watanabe, Hiromi K. ; Chen, Chong ; Nakamura, Masako ; Ji, Rubao ; Feng, Dong ; Lv, Jia ; Wang, Shi ; Bao, Zhenmin ; Qian, Pei-Yuan ; Qiu, Jian-WenStudying population genetics of deep‐sea animals helps us understand their history of habitat colonization and population divergence. Here, we report a population genetic study of the deep‐sea mussel Bathymodiolus platifrons (Bivalvia: Mytilidae) widely distributed in chemosynthesis‐based ecosystems in the Northwest Pacific. Three mitochondrial genes (i.e., atp6, cox1, and nad4) and 6,398 genomewide single nucleotide polymorphisms (SNPs) were obtained from 110 individuals from four hydrothermal vents and two methane seeps. When using the three mitochondrial genes, nearly no genetic differentiation was detected for B. platifrons in the Northwest Pacific. Nevertheless, when using SNP datasets, all individuals in the South China Sea (SCS) and three individuals in Sagami Bay (SB) together formed one genetic cluster that was distinct from the remaining individuals. Such genetic divergence indicated a genetic barrier to gene flow between the SCS and the open Northwest Pacific, resulting in the co‐occurrence of two cryptic semi‐isolated lineages. When using 125 outlier SNPs identified focusing on individuals in the Okinawa Trough (OT) and SB, a minor genetic subdivision was detected between individuals in the southern OT (S‐OT) and those in the middle OT (M‐OT) and SB. This result indicated that, although under the influence of the Kuroshio Current and the North Pacific Intermediate Water, subtle geographic barriers may exist between the S‐OT and the M‐OT. Introgression analyses based on these outlier SNPs revealed that Hatoma Knoll in the S‐OT represents a possible contact zone for individuals in the OT‐SB region. Furthermore, migration dynamic analyses uncovered stronger gene flow from Dai‐yon Yonaguni Knoll in the S‐OT to the other local populations, compared to the reverse directions. Taken together, the present study offered novel perspectives on the genetic connectivity of B. platifrons mussels, revealing the potential interaction of ocean currents and geographic barriers with adaption and reproductive isolation in shaping their migration patterns and genetic differentiation in the Northwest Pacific.
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ArticlesFDvent: a global trait database for deep-sea hydrothermal-vent fauna(Wiley, 2019-07-30) Chapman, Abbie S. A. ; Beaulieu, Stace E. ; Colaço, Ana ; Gebruk, Andrey V. ; Hilario, Ana ; Kihara, Terue C. ; Ramirez-Llodra, Eva ; Sarrazin, Jozée ; Tunnicliffe, Verena ; Amon, Diva ; Baker, Maria C. ; Boschen‐Rose, Rachel E. ; Chen, Chong ; Cooper, Isabelle J. ; Copley, Jonathan T. ; Corbari, Laure ; Cordes, Erik E. ; Cuvelier, Daphne ; Duperron, Sébastien ; Du Preez, Cherisse ; Gollner, Sabine ; Horton, Tammy ; Hourdez, Stephane ; Krylova, Elena M. ; Linse, Katrin ; LokaBharathi, P. A. ; Marsh, Leigh ; Matabos, Marjolaine ; Mills, Susan W. ; Mullineaux, Lauren S. ; Rapp, Hans Tore ; Reid, William D. K. ; Rybakova, Elena Goroslavskaya ; Thomas, Tresa Remya A. ; Southgate, Samuel James ; Stöhr, Sabine ; Turner, Phillip J. ; Watanabe, Hiromi K. ; Yasuhara, Moriaki ; Bates, Amanda E.Motivation Traits are increasingly being used to quantify global biodiversity patterns, with trait databases growing in size and number, across diverse taxa. Despite growing interest in a trait‐based approach to the biodiversity of the deep sea, where the impacts of human activities (including seabed mining) accelerate, there is no single repository for species traits for deep‐sea chemosynthesis‐based ecosystems, including hydrothermal vents. Using an international, collaborative approach, we have compiled the first global‐scale trait database for deep‐sea hydrothermal‐vent fauna – sFDvent (sDiv‐funded trait database for the Functional Diversity of vents). We formed a funded working group to select traits appropriate to: (a) capture the performance of vent species and their influence on ecosystem processes, and (b) compare trait‐based diversity in different ecosystems. Forty contributors, representing expertise across most known hydrothermal‐vent systems and taxa, scored species traits using online collaborative tools and shared workspaces. Here, we characterise the sFDvent database, describe our approach, and evaluate its scope. Finally, we compare the sFDvent database to similar databases from shallow‐marine and terrestrial ecosystems to highlight how the sFDvent database can inform cross‐ecosystem comparisons. We also make the sFDvent database publicly available online by assigning a persistent, unique DOI. Main types of variable contained Six hundred and forty‐six vent species names, associated location information (33 regions), and scores for 13 traits (in categories: community structure, generalist/specialist, geographic distribution, habitat use, life history, mobility, species associations, symbiont, and trophic structure). Contributor IDs, certainty scores, and references are also provided. Spatial location and grain Global coverage (grain size: ocean basin), spanning eight ocean basins, including vents on 12 mid‐ocean ridges and 6 back‐arc spreading centres. Time period and grain sFDvent includes information on deep‐sea vent species, and associated taxonomic updates, since they were first discovered in 1977. Time is not recorded. The database will be updated every 5 years. Major taxa and level of measurement Deep‐sea hydrothermal‐vent fauna with species‐level identification present or in progress. Software format .csv and MS Excel (.xlsx).