Institutional Repository of Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences
| Intraspecific genetic variation matters when predicting seagrass distribution under climate change | |
Hu, Zi-Min1; Zhang, Quan-Sheng1; Zhang, Jie2 ; Kass, Jamie M.3; Mammola, Stefano4,5; Fresia, Pablo6; Draisma, Stefano G. A.7; Assis, Jorge8; Jueterbock, Alexander9; Yokota, Masashi10; Zhang, Zhixin11
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| 2021-06-08 | |
| 发表期刊 | MOLECULAR ECOLOGY
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| ISSN | 0962-1083 |
| 页码 | 16 |
| 通讯作者 | Zhang, Zhixin(zhangzhixin1102@hotmail.com) |
| 摘要 | Seagrasses play a vital role in structuring coastal marine ecosystems, but their distributional range and genetic diversity have declined rapidly in recent decades. To improve conservation of seagrass species, it is important to predict how climate change may impact their ranges. Such predictions are typically made with correlative species distribution models (SDMs), which can estimate a species' potential distribution under present and future climatic scenarios given species' presence data and climatic predictor variables. However, these models are typically constructed with species-level data, and thus ignore intraspecific genetic variability, which can give rise to populations with adaptations to heterogeneous climatic conditions. Here, we explore the link between intraspecific adaptation and niche differentiation in Thalassia hemprichii, a seagrass broadly distributed in the tropical Indo-Pacific Ocean and a crucial provider of habitat for numerous marine species. By retrieving and re-analysing microsatellite data from previous studies, we delimited two distinct phylogeographical lineages within the nominal species and found an intermediate level of differentiation in their multidimensional environmental niches, suggesting the possibility for local adaptation. We then compared projections of the species' habitat suitability under climate change scenarios using species-level and lineage-level SDMs. In the Central Tropical Indo-Pacific region, models for both levels predicted considerable range contraction in the future, but the lineage-level models predicted more severe habitat loss. Importantly, the two modelling approaches predicted opposite patterns of habitat change in the Western Tropical Indo-Pacific region. Our results highlight the necessity of conserving distinct populations and genetic pools to avoid regional extinction due to climate change and have important implications for guiding future management of seagrasses. |
| 关键词 | climate change scenario genetic lineage niche conservation range shift species distribution model Thalassia hemprichii |
| DOI | 10.1111/mec.15996 |
| 收录类别 | SCI |
| 语种 | 英语 |
| 资助项目 | National Natural Science Foundation of China[31971395] ; National Natural Science Foundation of China[41761144057] ; European commission[882221] ; European commission[H2020-MSCA-IF-2019] ; Foundation for Science and Technology (FCT)[UID/Multi/04326/2019] ; Foundation for Science and Technology (FCT)[PTDC/BIA-CBI/6515/2020] ; Foundation for Science and Technology (FCT)[DL57] ; Thailand Research Fund[RDG6130002] ; Japan Society for the Promotion of Science[18K05780] |
| WOS研究方向 | Biochemistry & Molecular Biology ; Environmental Sciences & Ecology ; Evolutionary Biology |
| WOS类目 | Biochemistry & Molecular Biology ; Ecology ; Evolutionary Biology |
| WOS记录号 | WOS:000658567700001 |
| 出版者 | WILEY |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.qdio.ac.cn/handle/337002/176835 |
| 专题 | 实验海洋生物学重点实验室 |
| 通讯作者 | Zhang, Zhixin |
| 作者单位 | 1.YanTai Univ, Ocean Sch, Yantai, Peoples R China 2.Chinese Acad Sci, Ctr Ocean Megasci, Inst Oceanol, Key Lab Expt Marine Biol, Qingdao, Peoples R China 3.Okinawa Inst Sci & Technol Grad Univ, Biodivers & Biocomplex Unit, Onna, Okinawa, Japan 4.Univ Helsinki, Lab Integrat Biodivers Res LIBRe, Finnish Museum Nat Hist LUOMUS, Helsinki, Finland 5.Natl Res Council Italy, Water Res Inst, IRSA, Mol Ecol Grp MEG,CNR, Verbania, Italy 6.Inst Pasteur Montevideo, Pasteur INIA Joint Unit UMPI, Montevideo, Uruguay 7.Prince Songkla Univ, Fac Sci, Excellence Ctr Biodivers Peninsular Thailand, Hat Yai, Songkhla, Thailand 8.Univ Algarve, CCMAR, Faro, Portugal 9.Nord Univ, Fac Biosci & Aquaculture, Algal & Microbial Biotechnol Div, Bodo, Norway 10.Tokyo Univ Marine Sci & Technol, Grad Sch Marine Sci & Technol, Tokyo, Japan 11.Hokkaido Univ, Arctic Res Ctr, Sapporo, Hokkaido 0010021, Japan |
| 推荐引用方式 GB/T 7714 | Hu, Zi-Min,Zhang, Quan-Sheng,Zhang, Jie,et al. Intraspecific genetic variation matters when predicting seagrass distribution under climate change[J]. MOLECULAR ECOLOGY,2021:16. |
| APA | Hu, Zi-Min.,Zhang, Quan-Sheng.,Zhang, Jie.,Kass, Jamie M..,Mammola, Stefano.,...&Zhang, Zhixin.(2021).Intraspecific genetic variation matters when predicting seagrass distribution under climate change.MOLECULAR ECOLOGY,16. |
| MLA | Hu, Zi-Min,et al."Intraspecific genetic variation matters when predicting seagrass distribution under climate change".MOLECULAR ECOLOGY (2021):16. |
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