Genomic analysis of demographic history and ecological niche modeling in the endangered Chinese Grouse Tetrastes sewerzowi.

Chinese grouse Demographic history MaxEnt Qinghai-Tibet plateau Tetrastes sewerzowi Whole genome sequence

Journal

BMC genomics
ISSN: 1471-2164
Titre abrégé: BMC Genomics
Pays: England
ID NLM: 100965258

Informations de publication

Date de publication:
27 Aug 2020
Historique:
received: 13 09 2019
accepted: 27 07 2020
entrez: 28 8 2020
pubmed: 28 8 2020
medline: 15 5 2021
Statut: epublish

Résumé

The Quaternary had worldwide consequences in forming the contemporary diversity of many populations, species and communities, which is characterized by marked climatic oscillations between glacial and interglacial periods. The origin and evolution of biodiversity in mountainous areas are highly dependent on historical orogenesis and associated climatic changes. The Chinese grouse Tetrastes sewerzowi is a forest-dwelling species endemic to the mountains to the east of the Qinghai-Tibet Plateau, which has been listed as Near Threatened with a decreasing trend by the IUCN because of ongoing deforestation and fragmentation of coniferous forests. It is important to place current population status into a broader ecological and evolutionary context to understand their demographic history. Analyses of the Chinese Grouse genome revealed fluctuations throughout the Pleistocene in effective population size. Populations decreased during early to middle Pleistocene but showed an expansion during late Pleistocene which was then followed by a sharp decline during the last glacial maximum (LGM). Ecological niche modeling indicated that a suitable habitat shift between high altitude regions to low altitude regions was due to a changing climate. This result parallels patterns of population size change in Chinese Grouse estimated from PSMC modelling, which suggested an expansion in population size from the last interglacial period (LIG) and then a peak and a bottleneck occurring at the last glacial maximum (LGM). Furthermore, the present-day distribution of Chinese Grouse is greatly reduced and fragmented. It will likely become even more fragmented in the future since coniferous forest cover is threatened in the region of their distribution and the availability of such habitat restricts their ecological niche. The Chinese Grouse have experienced substantial population size changes from the beginning to the LIG and reached a peak before the LGM. A sharp decrease and bottleneck occurred during the LGM, when the coniferous forests were subjected to extensive loss. The results inferred from the whole genome sequencing and species distribution models both support historical population fluctuations. The distribution of the Chinese Grouse is strongly dependent on the coniferous forest cover. To protect the fragmented coniferous forests is an essential action to protect the Chinese Grouse.

Sections du résumé

BACKGROUND BACKGROUND
The Quaternary had worldwide consequences in forming the contemporary diversity of many populations, species and communities, which is characterized by marked climatic oscillations between glacial and interglacial periods. The origin and evolution of biodiversity in mountainous areas are highly dependent on historical orogenesis and associated climatic changes. The Chinese grouse Tetrastes sewerzowi is a forest-dwelling species endemic to the mountains to the east of the Qinghai-Tibet Plateau, which has been listed as Near Threatened with a decreasing trend by the IUCN because of ongoing deforestation and fragmentation of coniferous forests. It is important to place current population status into a broader ecological and evolutionary context to understand their demographic history.
RESULTS RESULTS
Analyses of the Chinese Grouse genome revealed fluctuations throughout the Pleistocene in effective population size. Populations decreased during early to middle Pleistocene but showed an expansion during late Pleistocene which was then followed by a sharp decline during the last glacial maximum (LGM). Ecological niche modeling indicated that a suitable habitat shift between high altitude regions to low altitude regions was due to a changing climate. This result parallels patterns of population size change in Chinese Grouse estimated from PSMC modelling, which suggested an expansion in population size from the last interglacial period (LIG) and then a peak and a bottleneck occurring at the last glacial maximum (LGM). Furthermore, the present-day distribution of Chinese Grouse is greatly reduced and fragmented. It will likely become even more fragmented in the future since coniferous forest cover is threatened in the region of their distribution and the availability of such habitat restricts their ecological niche.
CONCLUSIONS CONCLUSIONS
The Chinese Grouse have experienced substantial population size changes from the beginning to the LIG and reached a peak before the LGM. A sharp decrease and bottleneck occurred during the LGM, when the coniferous forests were subjected to extensive loss. The results inferred from the whole genome sequencing and species distribution models both support historical population fluctuations. The distribution of the Chinese Grouse is strongly dependent on the coniferous forest cover. To protect the fragmented coniferous forests is an essential action to protect the Chinese Grouse.

Identifiants

pubmed: 32847513
doi: 10.1186/s12864-020-06957-5
pii: 10.1186/s12864-020-06957-5
pmc: PMC7450560
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

581

Subventions

Organisme : Major International Joint Research Programme
ID : NSFC 31520103903

Références

Nature. 2000 Jun 22;405(6789):907-13
pubmed: 10879524
New Phytol. 2017 Feb;213(3):1500-1512
pubmed: 27696413
Science. 2001 Apr 27;292(5517):673-9
pubmed: 11326089
Nature. 2004 Dec 9;432(7018):695-716
pubmed: 15592404
Mol Ecol. 2006 Oct;15(11):3425-37
pubmed: 16968280
Proc Natl Acad Sci U S A. 2008 Apr 1;105(13):4987-92
pubmed: 18362353
Science. 2011 Nov 4;334(6056):660-4
pubmed: 21979937
New Phytol. 2013 Sep;199(4):1093-108
pubmed: 23718262
Mol Ecol. 2013 Oct;22(20):5237-55
pubmed: 24118118
Sci Rep. 2015 Sep 25;5:14256
pubmed: 26404527
Philos Trans R Soc Lond B Biol Sci. 2004 Feb 29;359(1442):183-95; discussion 195
pubmed: 15101575
Proc Natl Acad Sci U S A. 2000 Aug 1;97(16):9115-20
pubmed: 10922067
Bioinformatics. 2014 Aug 1;30(15):2114-20
pubmed: 24695404
Mol Ecol. 2016 Jan;25(2):570-80
pubmed: 26607571
Nature. 2017 Nov 9;551(7679):187-191
pubmed: 29088701
Ecol Evol. 2018 May 29;8(13):6671-6681
pubmed: 30038766
Nature. 2016 Apr 7;532(7597):99-102
pubmed: 27027291
Science. 2006 Mar 24;311(5768):1751-3
pubmed: 16556838
Nat Genet. 2014 Dec;46(12):1303-10
pubmed: 25362486
Sci Rep. 2016 Aug 30;6:31900
pubmed: 27573208
PLoS One. 2014 Nov 19;9(11):e112963
pubmed: 25409509
Science. 2010 Nov 12;330(6006):927-31
pubmed: 21071659
Nat Genet. 2013 Jan;45(1):67-71
pubmed: 23242367
Curr Biol. 2015 May 18;25(10):1375-80
pubmed: 25891404
Nature. 2000 Feb 24;403(6772):853-8
pubmed: 10706275
Proc Natl Acad Sci U S A. 2017 Apr 25;114(17):E3444-E3451
pubmed: 28373546
Nature. 2011 Jul 13;475(7357):493-6
pubmed: 21753753
Mol Ecol. 2006 Dec;15(14):4261-93
pubmed: 17107465
Mol Ecol. 2011 Jul;20(14):3014-26
pubmed: 21689184

Auteurs

Kai Song (K)

Animal Ecology, Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Norbyvägen 18D, 75236, Uppsala, Sweden. kai.song@ebc.uu.se.
Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, P. R. China. kai.song@ebc.uu.se.

Bin Gao (B)

Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, P. R. China.

Peter Halvarsson (P)

Animal Ecology, Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Norbyvägen 18D, 75236, Uppsala, Sweden.
Unit of Parasitology, Department of Biomedicine and Veterinary Public Health, Swedish University of Agricultural Sciences, PO Box 7036, 75007, Uppsala, Sweden.

Yun Fang (Y)

Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, P. R. China.

Ying-Xin Jiang (YX)

Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, P. R. China.

Yue-Hua Sun (YH)

Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, P. R. China. sunyh@ioz.ac.cn.

Jacob Höglund (J)

Animal Ecology, Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Norbyvägen 18D, 75236, Uppsala, Sweden.

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Classifications MeSH