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Mitogenome and phylogenetic analyses support rapid diversification among species groups of small-eared shrews genus Cryptotis(Mammalia:Eulipotyphla:Soricidae)

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摘要 The small-eared shrew genus Cryptotis is the third largest in the family Soricidae and occurs in North,Central,and northern South America.In Mexico and Central and South America,most species inhabit geographically isolated moist,montane habitats at middle and high elevations in a typical sky-island pattern.The 49 recognized species have been partitioned into as many as six species groups based on morphological and molecular phylogenetic studies.The relationships among these species groups are poorly resolved,and their evolutionary histories,including migration patterns and locomotor adaptations,remain unclear.Herein,we provide a new phylogeny incorporating complete mitochondrial genomes(mitogenomes)and supermatrix approach.We compared different evolutionary scenarios using approximately unbiased(AU),Kishino-Hasegawa(KH),and Shimodaira-Hasegawa(SH)statistical tests.The phylogenetic hypothesis based on mitogenomes revealed novel relationships supporting a basal position for the Cryptotis parvusgroup in the genus,and a close relationship between C.gracilis and one clade of the C.thomasi-group.The former relationship is consistent with the least derived humerus morphology and northern distribution of the species.The latter relationship i mplies multiple migrations between Central and South America.The lack of fine resolution for the species group relationships may be due partly to the lack of taxon sampling.In contrast,multi-approach analyses suggest that the unresolved relationships may be a result of rapid diversification during the early stages of Cryptotis evolution.
出处 《Zoological Research》 SCIE CAS CSCD 2021年第6期739-745,共7页 动物学研究(英文)
基金 This work was supported by the National Natural Science Foundation of China(31970389 to K.H.,81770173 to X.P.)China Postdoctoral Science Foundation(2009M652952 to K.H.) Pearl River Talents Program Local Innovative and Research Teams(2017BT01S131 to X.P.)。
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