Plastome-based phylogeny improves community phylogenetics of subtropical forests in China
Jin, Lu; Liu, Jia-Jia; Xiao, Tian-Wen; Li, Qiao-Ming; Lin, Li-Xiang; Shao, Xiao-Na; Ma, Chen-Xin; Li, Bu-Hang; Mi, Xiang-Cheng; Ren, Hai-Bao
刊名MOLECULAR ECOLOGY RESOURCES
2022
卷号22期号:1页码:319-333
关键词alpha diversity community phylogeny DNA barcoding phylogenetic community structure phylogenetic phylogenetic beta diversity phylogenetic signal plastid genome
ISSN号1755-098X
DOI10.1111/1755-0998.13462
文献子类Article
英文摘要Phylogenetic trees have been extensively used in community ecology. However, how the phylogeny construction affects ecological inferences is poorly understood. In this study, we constructed three different types of phylogenetic trees (a synthetic-tree generated using V.PhyloMaker, a barcode-tree generated using rbcL+matK+trnH-psbA, and a plastome-tree generated from plastid genomes) that represented an increasing level of phylogenetic resolution among 580 woody plant species from six forest dynamic plots in subtropical evergreen broadleaved forests of China. We then evaluated the performance of each phylogeny in estimations of community phylogenetic structure, turnover and phylogenetic signal in functional traits. As expected, the plastome-tree was most resolved and most supported for relationships among species. For local phylogenetic structure, the three trees showed consistent results with Faith's PD and MPD; however, only the synthetic-tree produced significant clustering patterns using MNTD for some plots. For phylogenetic turnover, contrasting results between the molecular trees and the synthetic-tree occurred only with nearest neighbor distance. The barcode-tree agreed more with the plastome-tree than the synthetic-tree for both phylogenetic structure and turnover. For functional traits, both the barcode-tree and plastome-tree detected phylogenetic signal in maximum height, but only the plastome-tree detected signal in leaf width. This is the first study that uses plastid genomes in large-scale community phylogenetics. Our results highlight the improvement of plastome-trees over barcode-trees and synthetic-trees for the analyses studied here. Our results also point to the possibility of type I and II errors in estimation of phylogenetic structure and turnover and detection of phylogenetic signal when using synthetic-trees.
学科主题Biochemistry & Molecular Biology ; Ecology ; Evolutionary Biology
电子版国际标准刊号1755-0998
出版地HOBOKEN
WOS关键词NICHE CONSERVATISM ; R PACKAGE ; EVOLUTIONARY ; DIVERSITY ; PATTERNS ; SEQUENCE ; ECOLOGY ; ANGIOSPERMS ; ANNOTATION ; SOFTWARE
WOS研究方向Science Citation Index Expanded (SCI-EXPANDED)
语种英语
出版者WILEY
WOS记录号WOS:000673747200001
资助机构National Natural Science Foundation of China [31500335] ; Strategic Priority Research Program of the Chinese Academy of Sciences [XDB31000000]
内容类型期刊论文
源URL[http://ir.ibcas.ac.cn/handle/2S10CLM1/28589]  
专题植被与环境变化国家重点实验室
作者单位1.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing, Peoples R China
2.Chinese Acad Sci, Ctr Plant Ecol, Core Bot Gardens, Guangzhou, Peoples R China
3.Chinese Acad Sci, Ctr Conservat Biol, Core Bot Gardens, Wuhan, Peoples R China
4.South China Agr Univ, Coll Life Sci, Guangzhou, Peoples R China
5.Chinese Acad Sci, Key Lab Plant Resources Conservat & Sustainable U, South China Bot Garden, Guangzhou, Peoples R China
6.Chinese Acad Sci, CAS Key Lab Trop Forest Ecol, Xishuangbanna Trop Bot Garden, Kunming, Yunnan, Peoples R China
7.Univ Chinese Acad Sci, Beijing, Peoples R China
8.Sun Yat Sen Univ, Sch Life Sci, Guangzhou, Peoples R China
9.Chinese Acad Sci, Key Lab Aquat Bot & Watershed Ecol, Wuhan Bot Garden, Wuhan, Peoples R China
推荐引用方式
GB/T 7714
Jin, Lu,Liu, Jia-Jia,Xiao, Tian-Wen,et al. Plastome-based phylogeny improves community phylogenetics of subtropical forests in China[J]. MOLECULAR ECOLOGY RESOURCES,2022,22(1):319-333.
APA Jin, Lu.,Liu, Jia-Jia.,Xiao, Tian-Wen.,Li, Qiao-Ming.,Lin, Li-Xiang.,...&Ge, Xue-Jun.(2022).Plastome-based phylogeny improves community phylogenetics of subtropical forests in China.MOLECULAR ECOLOGY RESOURCES,22(1),319-333.
MLA Jin, Lu,et al."Plastome-based phylogeny improves community phylogenetics of subtropical forests in China".MOLECULAR ECOLOGY RESOURCES 22.1(2022):319-333.
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