首站-论文投稿智能助手
典型文献
Application of eDNA Metabarcoding for Detecting Anura in North China
文献摘要:
eDNA metabarcoding is an advanced method for monitoring biodiversity proposed in recent years. By analyzing DNA in water, soil and sediment samples, the technology obtains species distribution and population quantity information. It was found that macrobarcode technology is more accurate than the traditional method in measuring the species richness of some groups. In Europe, America and South America, the reliability of this technology in monitoring amphibian diversity in the wild was studied, and it was found to be better than traditional biodiversity monitoring methods in detecting species diversity. At present, amphibian monitoring mainly depends on various traditional methods, such as transects, drift fence traps, artificial shelters and mark-recapture. These monitoring techniques have many shortcomings, such as low accuracy and strong subjectivity of study results. These technologies have poor effects on rare, invasive and endangered species with strong concealment ability, low density and strong seasonality and are difficult to implement in sites inaccessible to people. Traditional monitoring technology also requires considerable investment of human and material resources, and the economic cost is relatively high, while eDNA metabarcoding ismore efficient and less costly, so it is important to use eDNA metabarcoding in amphibian monitoring in China. In this study, the eDNA metabarcoding and traditional line transect method (TLTM) were used to study the characteristics of the two methods in the Beijing-Tianjin-Hebei region. Repeated sampling was conducted on 58 waterbodies in July 2019 and June 2020. After sequencing the samples using high-throughput sequencing technology, the differences between metabarcoding and commonly used TLTM surveys in detecting the diversity of four amphibians in North China were assessed. Our results showed that eDNA metabarcoding is more sensitive to the detection of the four amphibian species in the sampling area, and the combined use of eDNA metabarcoding and TLTM can improve the survey results of amphibians in the survey area to the greatest extent. In addition, in the process of species classification and identification of metabarcoding results, 7 species of reptiles were detected, indicating that eDNA metabarcoding is also useful to detect reptiles. The results of this study indicate that metabarcoding in combination with TLTM can accurately estimate the diversity of amphibians in a short-term survey in North China and is also useful in reptile species detection.
文献关键词:
作者姓名:
Wenhao LI;Mingshuo QIN;Xianglei HOU;Jiaqi ZHANG;Siqi WANG;Yu LI;Zexu LUO;Teng DENG;Tianjian SONG;Chunxia XU;Xuan LIU;Xuyu WANG;Yiming LI
作者机构:
Key Laboratory of Animal Ecology and Conservation Biology,Institute of Zoology,Chinese Academy of Sciences,Beijing 100101,China;University of Chinese Academy of Sciences,Beijing 100049,China;College of Ecology,Lanzhou University,Lanzhou 730000,Gansu,China;School of Life Sciences,Institute of Life Sciences and Green Development,Hebei University,Baoding 071002,Hebei,China
引用格式:
[1]Wenhao LI;Mingshuo QIN;Xianglei HOU;Jiaqi ZHANG;Siqi WANG;Yu LI;Zexu LUO;Teng DENG;Tianjian SONG;Chunxia XU;Xuan LIU;Xuyu WANG;Yiming LI-.Application of eDNA Metabarcoding for Detecting Anura in North China)[J].亚洲两栖爬行动物研究(英文版),2022(04):224-231,中插2
A类:
macrobarcode,recapture,ismore,TLTM,reptile
B类:
Application,eDNA,Metabarcoding,Detecting,Anura,North,China,metabarcoding,advanced,monitoring,biodiversity,proposed,recent,years,By,analyzing,soil,sediment,samples,technology,obtains,species,distribution,population,quantity,information,It,was,found,that,than,traditional,measuring,richness,some,groups,In,Europe,America,South,reliability,this,wild,studied,better,methods,detecting,At,present,mainly,depends,various,such,transects,drift,fence,traps,artificial,shelters,mark,These,techniques,have,many,shortcomings,low,accuracy,strong,subjectivity,study,results,technologies,poor,effects,rare,invasive,endangered,concealment,density,seasonality,difficult,implement,sites,inaccessible,people,Traditional,also,requires,considerable,investment,human,material,resources,economic,relatively,high,while,efficient,less,costly,important,line,were,used,characteristics,two,Beijing,Tianjin,Hebei,region,Repeated,sampling,conducted,waterbodies,July,June,After,sequencing,using,throughput,differences,between,commonly,surveys,four,amphibians,assessed,Our,showed,sensitive,detection,area,combined,can,improve,greatest,extent,addition,process,classification,identification,reptiles,detected,indicating,useful,indicate,combination,accurately,estimate,term
AB值:
0.454029
相似文献
Detection of oil spill based on CBF-CNN using HY-1C CZI multispectral images
Kai Du;Yi Ma;Zongchen Jiang;Xiaoqing Lu;Junfang Yang-College of Geodesy and Geomatics,Shandong University of Science and Technology,Qingdao 266590,China;First Institute of Oceanology,Ministry of Natural Resources,Qingdao 266061,China;Technology Innovation Center for Ocean Telemetry,Ministry of Natural Resources,Qingdao 266061,China;National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology,Xi'an 710072,China;School of Electronics and Information Engineering,Harbin Institute of Technology,Harbin 150001,China;National Satellite Ocean Application Service,Beijing 100081,China;College of Oceanography and Space Informatics,China University of Petroleum(East China),Qingdao 266580, China
Genomic Epidemiology of Imported Cases of COVID-19 in Guangdong Province, China, October 2020 – May 2021
LIANG Dan;WANG Tao;LI Jiao Jiao;GUAN Da Wei;ZHANG Guan Ting;LIANG Yu Feng;LI An An;HONG Wen Shan;WANG Li;CHEN Meng Lin;DENG Xiao Ling;CHEN Feng Juan;PAN Xing Fei;JIA Hong Ling;LEI Chun Liang;KE Chang Wen-Guangdong Provincial Key Laboratory of Virology,Institute of Medical Microbiology,Jinan University, Guangzhou 510632,Guangdong,China;Guangzhou National Laboratory,Guangzhou 510700,Guangdong, China;Guangdong Provincial Center for disease control and prevention,Guangdong Workstation for Emerging Infectious Disease Control and Prevention,Guangzhou 511430,Guangdong,China;Shantou University Medical College,Shantou 515041,Guangdong,China;Guangzhou Eighth People's Hospital,Guangzhou 510030, Guangdong,China;School of public health,Sun Yat-sen University,Guangzhou 510080,Guangdong,China;School of Public Health,Southern Medical University,Guangzhou 510515,Guangdong,China;Guangzhou Mendel Genomics and Medical Technology Co.,Ltd.,Guangzhou 510535,Guangdong,China;Department of Infectious Diseases,the Third Affiliated Hospital of Guangzhou Medical University,Guangzhou 510150, Guangdong,China;Department of Medical Biochemistry and Molecular Biology,School of Medicine,Jinan University,Guangzhou 510632,Guangdong,China
Genetic Diversity, Antibiotic Resistance, and Pathogenicity of Aeromonas Species from Food Products in Shanghai, China
QU Feng Tian;WANG Wen Qing;LIU Qian;ZHOU Hai Jian;HU Jin Rui;DU Xiao Li;WANG Yue;XUE Jia Qi;CUI Zhi Gang;XIE Gui Lin;MENG Shuang-College of Life Science,Northeast Agricultural University,Ha'erbin 150000,Heilongjiang,China;State Key Laboratory of Infectious Disease Prevention and Control,National Institute for Communicable Disease Control and Prevention,Chinese Center for Disease Control and Prevention,Beijing 102206,China;Shanghai Pudong New Area Center for Disease Control and Prevention,Shanghai 200136,China;Laboratory Medicine,Beijing Hospital,National Center of Gerontology;Institute of Geriatric Medicine,Chinese Academy of Medical Sciences, Beijing 100730,China;Clinic Medical College,North China University of Science and Technology,Tangshan 063000,Hebei,China
A CRISPR/Cas12a-empowered surface plasmon resonance platform for rapid and specific diagnosis of the Omicron variant of SARS-CoV-2
Zhi Chen;Jingfeng Li;Tianzhong Li;Taojian Fan;Changle Meng;Chaozhou Li;Jianlong Kang;Luxiao Chai;Yabin Hao;Yuxuan Tangl;Omar A.Al-Hartomy;Swelm Wageh;Abdullah G.Al-Sehemi;Zhiguang Luo;Jiangtian Yu;Yonghong Shao;Defa Li;Shuai Feng;William J.Liu;Yaqing He;Xiaopeng Ma;Zhongjian Xie;Han Zhang-Shenzhen Engineering Laboratory of Phosphorene and Optoelectronics;International Collaborative Laboratory of 2D Materials for Optoelectronics Science and Technology of Ministry of Education;Shenzhen Institute of Translational Medicine;Department of Otolaryngology,Shenzhen Second People's Hospital;the First Affiliated Hospital;Institute of Microscale Optoelectronics,Shenzhen University,Shenzhen 518060,China;Shenzhen International Institute for Biomedical Research,Shenzhen 518116,China;Shenzhen Han's Tech Limited Company,Shenzhen 518000,China;Shenzhen Metasensing Tech Limited Company,Shenzhen 518000,China;Department of Physics,Faculty of Science,King Abdulaziz University,Jeddah 21589,Saudi Arabia;Research Center for Advanced Materials Science(RCAMS),King Khalid University,Abha 61413,Saudi Arabia;Department of Chemistry,College of Science,King Khalid University,Abha 61413,Saudi Arabia;Zhongmin(Shenzhen)Intelligent Ecology Co Ltd,Shenzhen 518055,China;Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province,College of Physics and Optoelectronic Engineering,Shenzhen University,Shenzhen 518060,China;Department of Laboratory Medicine,Shenzhen Children's Hospital,Shenzhen 518038,China;Optoelectronics Research Center,School of Science,Minzu University of China,Beijing 100081,China;NHC Key Laboratory of Biosafety,National Institute for Viral Disease Control and Prevention,Chinese Center for Disease Control and Prevention,Beijing 102206,China;Research Unit of Adaptive Evolution and Control of Emerging Viruses,Chinese Academy of Medical Sciences,Beijing 102206,China;Institute of Pathogenic Organism,Shenzhen Center for Disease Control and Prevention,Shenzhen 518055,China;Respiratory Department,Shenzhen Children's Hospital,Shenzhen 518038,China;Institute of Pediatrics,Shenzhen Children's Hospital,Shenzhen 518038,China
Morphological distinctiveness of Ligularia tongolensis and L.cymbulifera is maintained between habitats despite bidirectional and asymmetrical introgression in multiple hybrid zones
Li Hu;Rui Yang;Guo-Qian Yang;Gui-Ling Sun;Xun Gong-CAS Key Laboratory for Plant Diversity and Biogeography of East Asia,Kunming Institute of Botany,Chinese Academy of Sciences,Kunming 650201,China;Key Laboratory of Economic Plants and Biotechnology,Kunming Institute of Botany,Chinese Academy of Sciences,Kunming 650201,China;University of Chinese Academy of Sciences,Beijing 100049,China;Germplasm Bank of Wild Species,Kunming Institute of Botany,Chinese Academy of Sciences,Kunming 650201,China;State Key Laboratory of Cotton Biology,Department of Biology,HPC Center of Bioinformatics Platform,Institute of Plant Stress Biology,Henan University,Kaifeng 475001,Henan,China
机标中图分类号,由域田数据科技根据网络公开资料自动分析生成,仅供学习研究参考。