| Literature DB >> 32059644 |
Shunde Chen1,2, Jiao Qing1, Zhu Liu3, Yang Liu4, Mingkun Tang4, Robert W Murphy2,5, Yingting Pu1, Xuming Wang1,4, Keyi Tang1, Keji Guo6, Xuelong Jiang7, Shaoying Liu8.
Abstract
BACKGROUND: Crocidura, the most speciose mammalian genus, occurs across much of Asia, Europe and Africa. The taxonomy of Chinese representatives has been studied primarily based on cursory morphological comparisons and their molecular phylogenetic analyses remain unexplored. In order to understand the phylogeny of this group in China, we estimated the first multilocus phylogeny and conducted species delimitation, including taxon sampling throughout their distribution range.Entities:
Keywords: Mitochondrial DNA; Nuclear DNA; Rapid radiation; Soricidae; Species delimitation
Mesh:
Substances:
Year: 2020 PMID: 32059644 PMCID: PMC7023792 DOI: 10.1186/s12862-020-1588-8
Source DB: PubMed Journal: BMC Evol Biol ISSN: 1471-2148 Impact factor: 3.260
Major classification systems of the genus Crocidura in China
| Allen (1938) [ | Honacki et al. (1982) [ | Hutterer (1993) [ | Jiang and Hoffmann (2001) [ | Hutterer (2005) [ | Hoffmann and Lunde (2008) [ | Burgin and He (2018) [ |
|---|---|---|---|---|---|---|
Fig. 1A map showing sample localities from China in this study. Different colors represent different species. The map was created by ArcGIS 10. 2 for Desktop. http://desktop.arcgis.com/zh-cn/arcmap
Information of samples used from China in this study
| Site | Detail Sample localities | Latitude | Longitude | Specimen Numbers | Species or subspecies | Source |
|---|---|---|---|---|---|---|
| 1 | Mt. Diaoluo, Hainan, China | 18.722 | 109.868 | 3 | This study | |
| 2 | Guangxi, China | 23.116 | 105.966 | 3 | Genbank | |
| 3 | Mt. Yongde, Yunnan, China | – | – | 1 | Genbank | |
| 4 | Miyi, Sichuan, China | 26.997 | 101.874 | 3 | This study | |
| 5 | Lijiang, Yunnan, China | 26.927 | 100.229 | 3 | This study | |
| 6 | Yangbi, Yunnan, China | 25.793 | 99.871 | 3 | This study | |
| 7 | Motuo, Xizang, China | 29.244 | 95.015 | 2 | This study | |
| 8 | Motuo, Xizang, China | 29.326 | 95.326 | 3 | This study | |
| 9 | Mt.Jinfo, Chongqing, China | 29.049 | 107.194 | 1 | This study | |
| 10 | Songtao, Guizhou, China | 27.992 | 108.783 | 1 | This study | |
| 11 | Leigongshan, Guizhou, China | 26.385 | 108.203 | 1 | This study | |
| 12 | Ningwu, Shanxi, China | 38.633 | 111.037 | 1 | This study | |
| 13 | Zunhua, Hebei, China | 40.049 | 117.92 | 1 | This study | |
| 14 | Taiwan, China | 24.166 | 120.633 | 1 | Genbank | |
| 15 | Xinbin, Liaoning, China | 41.604 | 125.391 | 3 | This study | |
| 3 | This study | |||||
| 16 | Fusong, Jilin, China | 42.152 | 127.482 | 3 | This study | |
| 17 | Cixi, Zhejiang, China | – | – | 1 | Genbank | |
| 18 | Zada, Xizang, China | 31.783 | 78.872 | 1 | This study | |
| 19 | Mingshan, Sichuan, China | 30.076 | 103.178 | 3 | This study | |
| 20 | Yingjing, Sichuan, China | 29.804 | 102.679 | 4 | This study | |
| 21 | Muchuan,Sichuan,China | 28.876 | 103.714 | 1 | This study | |
| 22 | Pengzhou,Sichuan,China | 31.314 | 103.852 | 1 | This study | |
| 23 | Tangjiahe, Sichuan,China | 32.608 | 104.837 | 1 | This study | |
| 24 | Qingchuan,Sichuan,China | 32.912 | 105.432 | 6 | This study | |
| 25 | Kaixian, Chongqing, China | 31.455 | 108.712 | 1 | This study | |
| 26 | Huayingshan, Sichuan, China | 30.388 | 106.847 | 1 | This study | |
| 27 | Fuhai, Xinjiang, China | 47.075 | 87.427 | 2 | This study | |
| 28 | Tacheng, Xinjiang, China | 46.732 | 83.028 | 1 | This study | |
| 29 | Yining, Xinjiang, China | 43.911 | 81.731 | 1 | This study | |
| 30 | Tulufan, Xinjiang, China | 42.857 | 89.192 | 1 | This study | |
| 31 | Aletai, Xinjiang, China | 47.357 | 88.016 | 3 | This study | |
| 32 | Mosuowan, Xinjiang, China | – | – | 2 | Genbank | |
| 33 | Tashenkuergan, Xinjiang, China | 37.703 | 75.521 | 7 | This study | |
| 34 | Mt. Fanjingshan, Guizhou, China | 27.984 | 108.64 | 2 | This study | |
| 35 | Shiqian, Guizhou, China | 27.364 | 108.11 | 1 | This study | |
| 36 | Hejiang, Sichuan, China | 28.571 | 106.294 | 2 | This study | |
| 37 | Mt.Emei, Sichuan, China | 29.571 | 103.399 | 2 | This study | |
| 38 | Dujiangyan, Sichuan, China | 31.233 | 103.650 | 2 | This study | |
| 39 | Huayingshan, Sichuan,China | 30.388 | 106.847 | 3 | This study | |
| 40 | Santai, Sichuan, China | 31.261 | 104.898 | 1 | This study | |
| 41 | Langzhong, Sichuan,China | 31.587 | 105.911 | 1 | This study | |
| 42 | Chongzuo, Guangxi,China | 22.274 | 107.510 | 3 | This study | |
| 43 | Dongyang, Zhejiang, China | 29.205 | 120.516 | 5 | This study | |
| 44 | Yuelushan, Hunan,China | 28.189 | 112.945 | 3 | This study | |
| 45 | Hengshan, Hunan,China | 27.280 | 112.691 | 2 | This study | |
| 46 | Hengdong, Hunan,China | 26.970 | 113.067 | 1 | This study | |
| 4 | Hongjiang, Hunan,China | 27.327 | 110.402 | 3 | This study | |
| 2 | This study | |||||
| 48 | Dongyang, Zhejiang, China | 29.205 | 120.516 | 7 | This study | |
| 49 | Qiandaohu, Zhejiang, China | 29.203 | 118.646 | 1 | This study | |
| 50 | Nantou, Taiwan, China | 23.668 | 120.988 | 3 | Genbank | |
| 51 | Nantou, Taiwan, China | – | – | 3 | Genbank | |
| 52 | Taichung,Taiwan, China, | – | – | 1 | Genbank | |
| 53 | Jiulong, Sichuan, China | 27.977 | 101.996 | 1 | This study | |
| 54 | Muli, Sichuan, China | 28.019 | 101.102 | 2 | This study | |
| 55 | Yajiang, Sichuan, China | 29.680 | 100.754 | 1 | This study | |
| 56 | Xiaojin, Sichuan, China | 30.984 | 102.596 | 3 | This study | |
| 57 | Yulin, Guangxi, China | 22.595 | 110.220 | 4 | This study | |
| Total | 132 | |||||
Fig. 2Results of Bayesian phylogenetic trees, species delimitation using splits and BPP, and species trees reconstructed using the *BEAST model. Bayesian phylogenetic trees derived from mtDNA dataset (a); nDNA dataset (b); mtDNA + nDNA dataset (c) and coalescent-based species tree using mtDNA + nDNA dataset (d). Numbers above branches refer to Bayesian posterior probabilities, and numbers below branches refer to the bootstrap values. Different colors represent different species in accordance with the Fig. 1
Fig. 3Chronogram from Bayesian analysis using a relaxed molecular clock and GMYC-based species delimitation based on dataset 4. The five red asterisks represent nodes whose age was calibrated with fossil taxa. Nodes of Bayesian posterior probabilities (above line) and estimated median times of divergence (below line) are shown. The red vertical lines indicate the maximum-likelihood transition point where the branching rates switch from interspecific to intraspecific events. Some triangles on tips are represented as the same species for simplification. Abbreviations of countries: America, US; Cambodia, CB; China, CN; India, IA; Indonesia, ID; Iran, IR; Japan, JP; Korea, KR; Laos, LA; Malaysia, ML; Mexico, MX; Mongolia, MG; Philippines, PL; Russia, RS; South Africa, SA; Sri Lanka, SL; Thailand, TL; Vietnam, VN
The p-distance among undescribed species/species of Crocidura based on the cytb gene
| 0.138 | |||||||||||||
| 0.140 | 0.119 | ||||||||||||
| 0.138 | 0.121 | 0.108 | |||||||||||
| 0.084 | 0.140 | 0.134 | 0.141 | ||||||||||
| 0.144 | 0.127 | 0.115 | 0.116 | 0.145 | |||||||||
| 0.143 | 0.124 | 0.039 | 0.105 | 0.142 | 0.118 | ||||||||
| 0.142 | 0.126 | 0.108 | 0.049 | 0.149 | 0.108 | 0.111 | |||||||
| 0.088 | 0.138 | 0.136 | 0.139 | 0.093 | 0.132 | 0.137 | 0.142 | ||||||
| 0.147 | 0.121 | 0.102 | 0.110 | 0.139 | 0.119 | 0.102 | 0.110 | 0.143 | |||||
| 0.139 | 0.097 | 0.110 | 0.124 | 0.131 | 0.125 | 0.114 | 0.121 | 0.127 | 0.118 | ||||
| 0.134 | 0.116 | 0.105 | 0.120 | 0.151 | 0.121 | 0.107 | 0.115 | 0.142 | 0.114 | 0.117 | |||
| 0.147 | 0.119 | 0.106 | 0.105 | 0.148 | 0.126 | 0.112 | 0.101 | 0.145 | 0.112 | 0.112 | 0.122 | ||
| 0.141 | 0.115 | 0.112 | 0.115 | 0.143 | 0.121 | 0.118 | 0.110 | 0.136 | 0.104 | 0.107 | 0.110 | 0.115 |