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Sun Z, Orozco-terWengel P, Chen G, Sun R, Sun L, Wang H, Shi W, Zhang B. Spatial dynamics of Chinese Muntjac related to past and future climate fluctuations. Curr Zool 2021; 67:361-370. [PMID: 34616935 PMCID: PMC8489110 DOI: 10.1093/cz/zoaa080] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Accepted: 12/16/2020] [Indexed: 11/23/2022] Open
Abstract
Climate fluctuations in the past and in the future are likely to result in population expansions, shifts, or the contraction of the ecological niche of many species, and potentially leading to the changes in their geographical distributions. Prediction of suitable habitats has been developed as a useful tool for the assessment of habitat suitability and resource conservation to protect wildlife. Here, we model the ancestral demographic history of the extant modern Chinese Muntjac Muntiacus reevesi populations using approximate Bayesian computation (ABC) and used the maximum entropy model to simulate the past and predict the future spatial dynamics of the species under climate oscillations. Our results indicated that the suitable habitats for the M. reevesi shifted to the Southeast and contracted during the Last Glacial Maximum, whereas they covered a broader and more northern position in the Middle Holocene. The ABC analyses revealed that the modern M. reevesi populations diverged in the Middle Holocene coinciding with the significant contraction of the highly suitable habitat areas. Furthermore, our predictions suggest that the potentially suitable environment distribution for the species will expand under all future climate scenarios. These results indicated that the M. reevesi diverged in the recent time after the glacial period and simultaneously as its habitat’s expanded in the Middle Holocene. Furthermore, the past and future climate fluctuation triggered the change of Chinese muntjac spatial distribution, which has great influence on the Chinese muntjac’s population demographic history.
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Affiliation(s)
- Zhonglou Sun
- School of Life Sciences, Anhui University, Hefei, 230601, China
| | | | - Guotao Chen
- School of Life Sciences, Anhui University, Hefei, 230601, China
| | - Ruolei Sun
- School of Life Sciences, Anhui University, Hefei, 230601, China
| | - Lu Sun
- Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China
| | - Hui Wang
- School of Life Sciences, Anhui University, Hefei, 230601, China
| | - Wenbo Shi
- School of Life Sciences, Anhui University, Hefei, 230601, China
| | - Baowei Zhang
- School of Life Sciences, Anhui University, Hefei, 230601, China
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Pan T, Wang H, Duan S, Ali I, Yan P, Cai R, Wang M, Zhang J, Zhang H, Zhang B, Wu X. Historical population decline and habitat loss in a critically endangered species, the Chinese alligator (Alligator sinensis). Glob Ecol Conserv 2019. [DOI: 10.1016/j.gecco.2019.e00692] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
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Pan T, Zhou K, Zhang S, Shu Y, Zhang J, Li E, Wang M, Yan P, Wu H. Effects of dispersal barriers and geographic distance on the genetic structure of a narrowly distributed frog in a spatially structured landscape. J Zool (1987) 2019. [DOI: 10.1111/jzo.12730] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- T. Pan
- Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources College of Life Sciences Anhui Normal University Wuhu China
| | - K. Zhou
- Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources College of Life Sciences Anhui Normal University Wuhu China
| | - S.‐L. Zhang
- Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources College of Life Sciences Anhui Normal University Wuhu China
| | - Y.‐L. Shu
- Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources College of Life Sciences Anhui Normal University Wuhu China
| | - J.‐H. Zhang
- Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources College of Life Sciences Anhui Normal University Wuhu China
| | - E. Li
- Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources College of Life Sciences Anhui Normal University Wuhu China
| | - M.‐S. Wang
- Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources College of Life Sciences Anhui Normal University Wuhu China
| | - P. Yan
- Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources College of Life Sciences Anhui Normal University Wuhu China
| | - H.‐L. Wu
- Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources College of Life Sciences Anhui Normal University Wuhu China
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Eva SN, Yamazaki Y. Population Structure, Admixture, and Migration Patterns of Japanese Sika Deer ( Cervus nippon) Inhabiting Toyama Prefecture in Japan. Zoolog Sci 2019; 36:128-135. [PMID: 31120647 DOI: 10.2108/zs180114] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Accepted: 10/25/2018] [Indexed: 11/17/2022]
Abstract
Rapid expansion of sika deer, in both number and distribution, in the Japanese Archipelago has resulted in serious ecological disturbance. In the present study, the population structure and migration patterns of sika deer (Cervus nippon) among Toyama and adjacent Prefectures were investigated using 11 polymorphic microsatellite loci. Deviation from Hardy-Weinberg equilibrium was detected in both total and individual regional sika deer samples from Toyama Prefecture. Results of pairwise FST results, factorial correspondence analysis, and STRUCTURE analysis indicated that sika deer in Toyama are not genetically distinct from those in adjacent Prefectures. Bayesian STRUCTURE results suggested the existence of two distinct clusters. However, multiple lines of genetic structure and high admixture were detected across the populations located in the central region of Toyama Prefecture. Both contemporary and historical migration analyses showed that dispersal into Toyama Prefecture from neighboring prefectures was high, especially migration from the prefecture on the east into Toyama Prefecture, and bidirectional dispersion between Toyama Prefecture and the prefecture to the south. Knowledge of such genetic structures and population dynamics is required for appropriate management and conservation of sika deer populations in the Japanese Archipelago.
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Affiliation(s)
- Saifun Nahaer Eva
- Graduate School of Science and Engineering for Research, University of Toyama, Toyama 930-8555, Japan
| | - Yuji Yamazaki
- Graduate School of Science and Engineering for Research, University of Toyama, Toyama 930-8555, Japan,
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Yu Y, Zhou S, Zhu X, Xu X, Wang W, Zha L, Wang P, Wang J, Lai K, Wang S, Hao L, Zhou B. Genetic Differentiation of Eastern Honey Bee ( Apis cerana) Populations Across Qinghai-Tibet Plateau-Valley Landforms. Front Genet 2019; 10:483. [PMID: 31178896 PMCID: PMC6538771 DOI: 10.3389/fgene.2019.00483] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Accepted: 05/06/2019] [Indexed: 11/13/2022] Open
Abstract
Many species of high-altitude plateaus tend to be narrowly distributed along river valleys at lower elevations due to a limitation of suitable habitats. The eastern honeybee (Apis cerana) is such a species and this study explored the effects of long and narrow geographic distributions on honeybee populations. Genetic differentiation and diversity were assessed across populations of the southeastern Qinghai-Tibet Plateau. A total of 492 honeybee samples from eight sampling sites in four valleys were analyzed for the genetic differentiation and diversity of 31 microsatellite loci and mitochondrial tRNAleu-COII fragments. The following results were obtained: (1) Microsatellite genetic differentiation coefficients (F ST) ranged from 0.06 to 0.16, and mitochondrial F ST estimates ranged from 0.18 to 0.70 for different sampling sites in the same valley, indicating genetic differentiation. (2) Honeybees in adjacent valleys were also genetically differentiated. The F ST of microsatellites and mitochondria were 0.04-0.29 and 0.06-0.76, respectively. (3) Likely a result of small population sizes, the observed genetic diversity was low. The observed impedance of honeybee gene flow among valleys increased both genetic differentiation and population numbers in the Qinghai-Tibet Plateau. This study contributes significantly to the current understanding of the mechanism underlying population genetic differentiation and highlights the potential effects of utilizing genetic resources that are subject to the ecological conditions of the long and narrow geographic distributions of plateau-valley landforms.
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Affiliation(s)
- Yinglong Yu
- College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China.,College of Bee Science, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Shujing Zhou
- College of Bee Science, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Xiangjie Zhu
- College of Bee Science, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Xinjian Xu
- College of Bee Science, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Wenfeng Wang
- Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, China
| | - Luo Zha
- Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, China
| | - Ping Wang
- Ganzi Tibetan Autonomous Prefecture Apiculture Management Station, Ganzi, China
| | - Jianwen Wang
- Sichuan Province Apiculture Management Station, Chengdu, China
| | - Kang Lai
- Sichuan Province Apiculture Management Station, Chengdu, China
| | - Shunhai Wang
- Sichuan Province Apiculture Management Station, Chengdu, China
| | - Lunan Hao
- College of Bee Science, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Bingfeng Zhou
- College of Bee Science, Fujian Agriculture and Forestry University, Fuzhou, China
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Pan T, Wang H, Orozcoterwengel P, Hu CC, Wu GY, Qian LF, Sun ZL, Shi WB, Yan P, Wu XB, Zhang BW. Long-term sky islands generate highly divergent lineages of a narrowly distributed stream salamander (Pachyhynobius shangchengensis) in mid-latitude mountains of East Asia. BMC Evol Biol 2019; 19:1. [PMID: 30606099 PMCID: PMC6318985 DOI: 10.1186/s12862-018-1333-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Accepted: 12/17/2018] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Climate oscillation may have a profound effect on species distributions, gene flow patterns and population demography. In response to environmental change, those species restricted to montane habitats experienced expansions and contractions along elevation gradients, which can drive differentiation among sky islands. RESULTS The Shangcheng stout salamander (Pachyhynobius shangchengensis) is a cool stream amphibian restricted to high-elevation areas in the Dabie Mountains, East China. In the present study, we used mtDNA genes (Cyt b and ND2) of 193 individuals and 12 nuclear microsatellite loci genotyped on 370 individuals, representing 6 populations (JTX, KHJ, MW, TTZ, BYM and KJY) across the taxon's distribution area, to investigate their genetic variation and evolutionary history of P. shangchengensis. Most populations showed unusually high levels of genetic diversity. Phylogenetic analyses revealed five monophyletic clades with divergence times ranging from 3.96 to 1.4 Mya. Accordingly, significant genetic differentiation was present between these populations. Bayesian skyline plot analyses provided that all populations underwent long-term population expansions since the last inter-glacial (0.13 Mya ~ 0.12 Mya). Msvar analyses found recent signals of population decline for two northern populations (JTX and KHJ) reflecting a strong bottleneck (approximately 15-fold decrease) during the mid-Holocene (about 6000 years ago). Ecological niche modelling has shown a discontinuity in suitable habitats for P. shangchengensis under different historical climatic conditions. CONCLUSIONS Our results suggest that the niche conservatism of P. shangchengensis and sky island effects may have led to long-term isolation between populations. In sky island refuges, the mid-latitude Dabie Mountains have provided a long-term stable environment for P. shangchengensis, which has led to the accumulation of genetic diversity and has promoted genetic divergence.
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Affiliation(s)
- Tao Pan
- Anhui Key Laboratory of Eco–engineering and Bio-technique, School of Life Sciences, Anhui University, Hefei, 230601 Anhui China
- School of Life Sciences, Anhui Normal University, Wuhu, 241000 Anhui China
| | - Hui Wang
- Anhui Key Laboratory of Eco–engineering and Bio-technique, School of Life Sciences, Anhui University, Hefei, 230601 Anhui China
| | | | - Chao-Chao Hu
- Analytical and Testing Center, Nanjing Normal University, Nanjing, 210046 Jiangsu China
| | - Gui-You Wu
- Anhui Key Laboratory of Eco–engineering and Bio-technique, School of Life Sciences, Anhui University, Hefei, 230601 Anhui China
| | - Li-Fu Qian
- Anhui Key Laboratory of Eco–engineering and Bio-technique, School of Life Sciences, Anhui University, Hefei, 230601 Anhui China
| | - Zhong-Lou Sun
- Anhui Key Laboratory of Eco–engineering and Bio-technique, School of Life Sciences, Anhui University, Hefei, 230601 Anhui China
| | - Wen-Bo Shi
- Anhui Key Laboratory of Eco–engineering and Bio-technique, School of Life Sciences, Anhui University, Hefei, 230601 Anhui China
| | - Peng Yan
- School of Life Sciences, Anhui Normal University, Wuhu, 241000 Anhui China
| | - Xiao-Bing Wu
- School of Life Sciences, Anhui Normal University, Wuhu, 241000 Anhui China
| | - Bao-Wei Zhang
- Anhui Key Laboratory of Eco–engineering and Bio-technique, School of Life Sciences, Anhui University, Hefei, 230601 Anhui China
- School of Biosciences, Cardiff University, Cardiff, UK
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7
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Zhi Y, Sun Z, Sun P, Zhao K, Guo Y, Zhang D, Zhang B. How much genetic variation is stored in the endangered and fragmented shrub Tetraena mongolica Maxim? PeerJ 2018; 6:e5645. [PMID: 30258729 PMCID: PMC6152454 DOI: 10.7717/peerj.5645] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2018] [Accepted: 08/27/2018] [Indexed: 12/16/2022] Open
Abstract
Tetraena mongolica Maxim (Zygophyllaceae) is an endangered species endemic to western Inner Mongolia and China, and is currently threatened by habitat loss and human over-exploitation. We explored the genetic background, its genetic diversity, population structure, and demographic history, based on 12 polymorphic nuclear microsatellite loci. Our results indicated high genetic diversity in extant populations, but no distinguishable gene cluster corresponding with a specific biogeography. Population demography analysis using a MSVAR indicated a strong, recent population decline approximately 5,455 years ago. These results suggest that the Yellow River and Zhuozi Mountain range may not prevent pollination between populations. Finally, we surmised that the population demography of T. mongolica was likely to have been affected by early mankind activities.
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Affiliation(s)
- Yingbiao Zhi
- School of Ecology and Environment, Inner Mongolia University, Hohhot, Inner Mongolia, China.,School of Life Sciences, Anhui University, Hefei, Anhui, China.,Ordos Institute of Technology, Ordos, Inner Mongolia, China
| | - Zhonglou Sun
- School of Life Sciences, Anhui University, Hefei, Anhui, China
| | - Ping Sun
- School of Life Sciences, Anhui University, Hefei, Anhui, China
| | - Kai Zhao
- School of Resource and Environment, Anqing Normal University, Anqing, Anhui, China
| | - Yangnan Guo
- School of Life Sciences, Inner Mongolia University, Hohhot, Inner Mongolia, China.,China Energy Technology Holdings Ltd., Beijing, China
| | - Dejian Zhang
- School of Life Sciences, Inner Mongolia University, Hohhot, Inner Mongolia, China
| | - Baowei Zhang
- School of Life Sciences, Anhui University, Hefei, Anhui, China
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8
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Sun Z, Wang H, Zhou W, Shi W, Zhu W, Zhang B. How rivers and historical climate oscillations impact on genetic structure in Chinese Muntjac ( Muntiacus reevesi)? DIVERS DISTRIB 2018. [DOI: 10.1111/ddi.12833] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Affiliation(s)
- Zhonglou Sun
- School of Life Sciences; Anhui Key Laboratory of Eco-engineering and Bio-technique; Anhui University; Hefei Anhui China
- Department of Medicine; University of Utah; Salt Lake City Utah USA
| | - Hui Wang
- School of Life Sciences; Anhui Key Laboratory of Eco-engineering and Bio-technique; Anhui University; Hefei Anhui China
| | - Wenliang Zhou
- School of Life Sciences; Anhui Key Laboratory of Eco-engineering and Bio-technique; Anhui University; Hefei Anhui China
| | - Wenbo Shi
- School of Life Sciences; Anhui Key Laboratory of Eco-engineering and Bio-technique; Anhui University; Hefei Anhui China
| | - Weiquan Zhu
- Department of Medicine; University of Utah; Salt Lake City Utah USA
| | - Baowei Zhang
- School of Life Sciences; Anhui Key Laboratory of Eco-engineering and Bio-technique; Anhui University; Hefei Anhui China
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