首页|Development of an eDNA metabarcoding tool for surveying the world's largest amphibian

Development of an eDNA metabarcoding tool for surveying the world's largest amphibian

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Due to the overexploitation of farming, as well as habitat destruction, the wild population of Chinese giant salamander (CGS) Andrias davidianus, a species with seven genetically distinct lineages, has decreased by over 80％ in the past 70 years. Traditional survey methods have proven to be unsuitable for finding this rare and elusive species. We evaluated the efficacy of environmental DNA (eDNA) sampling to detect CGS indi-rectly from its aquatic environment. We developed several species-specific primer sets; validated their specificity and sensitivity; and assessed their utility in silico, in the laboratory, and at two field sites harboring released farm-bred CGS. We detected the presence of CGS DNA by using polymerase chain reaction and Sanger sequencing. We also sequenced an amplicon mixture of seven haplotype-represented samples using high-throughput sequencing. Our eDNA methods could detect the presence of CGS at moderate densities reported across its range, proving them as a cost-effective way to establish broad-scale patterns of occupancy for CGS. In addition, our primers enabled the detection of mitochon-drial lineage mixture or introduced individuals from geographically isolated populations of CGS.

Andrias davidianusChinese giant salamandereDNAmetabarcodingpopulation survey

Jie Wang、Ping Liu、Jiang Chang、Cheng Li、Feng Xie、Jianping Jiang

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CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization&Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province,Chengdu Institute of Biology,Chinese Academy of Sciences,Chengdu 610041,China

State Key Laboratory of Environmental Criteria and Risk Assessment,Chinese Research Academy of Environmental Sciences,Beijing 100012,China

国家重点研发计划国家自然科学基金国家自然科学基金Biodiversity Survey and Assessment Project of the Ministry of Ecology and Environment,ChinaConstruction of Basic Conditions Platform of Sichuan Science and Technology DepartmentChina Biodiversity Observation Networks(Sino BON–Amphibian&Reptile)

2016YFC050320031570391312004112019HJ20960010062019JDPT0020

2022

动物学报(英文版)
中国科学院动物研究所,中国动物学会

动物学报(英文版)

CSCDSCI
影响因子：0.198
ISSN：1674-5507
年,卷(期)：2022.68(5)
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