nav emailalert searchbtn searchbox tablepage yinyongbenwen piczone journalimg journalInfo journalinfonormal searchdiv searchzone qikanlogo popupnotification paper paperNew
2021, Z4, v.40 3475-3480
宏基因组学技术在动物传染病原挖掘中的应用与进展
基金项目(Foundation): 国家自然科学基金项目(31960710; 32060810); 榆林市产学研项目(CXY-2020-011); 榆林学院高学历人才启动金(14GK38)共同资助
邮箱(Email): guohuichen@caas.ccn;
DOI: 10.13417/j.gab.040.003475
摘要:

近年来随着环境与气候的变化,人和动物体不断出现新的病原微生物,对人和动物的健康与生产造成重大影响。常规病原分离鉴定技术难于及早发现病原,加之对其致病性认识的不足,常导致不能有效预防和控制。二代测序技术的发展与测序效率的提高,使得微生物宏基因组学研究成为新的研究热点之一。基于二代测序技术的宏基因组学能够通过大量的基因测序、序列拼接实现群体微生物的鉴定,为疾病诊断和病原微生物的鉴定提供了可靠依据。本文就宏基因组学技术在动物传染病原鉴定、耐药性及遗传变异方面的研究进行综述。

Abstract:

Novel pathogenic microorganisms continuously appeared with changes in the environment and climate in recent years, which impact on health of humans and animals. Conventional isolation and identification for pathogens were difficult to find them at early stage. Furthermore, these infectious diseases could not be prevented and controlled effectively for insufficient knowledge to characters and pathogenicity of pathogens. With the improvement of next-generation sequencing technology in efficiency, microbial metagenomics research was becoming one of hotspots in etiology and clinical epidemiology. Metagenomics based on next-generation sequencing would identify target or unknown microorganisms through a high-throughput gene sequencing and assembling to microbiota. These provided a reliable basis for pathogens identification and clinical diagnosis. The procedures and methods of metagenomics on pathogens identification, antibiotic resistance and genetic variation were reviewed in this article.

参考文献

Alexa(Oniciuc) E.A.,Walsh C.J.,Coughlan L.M.,Awad A.,Simon C.A.,Ruiz L.,Crispie F.,Cotter P.D.,and Alvarez-Ordonez A.,2020,Dairy products and dairy-processing environments as a reservoir of antibiotic resistance and quorum-quenching determinants as revealed through functional metagenomics,mSystems,5(1):e00723-19.

Alneberg J.,Karlsson C.M.G.,Divne A.M.,Bergin C.,Homa F.,Lindh M.V.,Hugerth L.W.,Ettema T.J.G.,Bertilsson S.,Andersson A.F.,and Pinhassi J.,2018,Genomes from uncultivated prokaryotes:A comparison of metagenome-assembled and single-amplified genomes,microbiome,6(1):173.

Amrane S.and Lagier J.C.,2018,Metagenomic and clinical microbiology,Human Microbiome Journal,9:1-6.

Ansari M.H.,Ebrahimi M.,Fattahi M.R.,Gardner M.G.,Safarpour A.R.,Faghihi M.A.,and Lankarani K.B.,2020,Viral metagenomic analysis of fecal samples reveals an enteric virome signature in irritable bowel syndrome,BMC Microbiol,20(1):123.

Bass D.,Stentiford G.D.,Wang H.C.,Koskella B.,and Tyler C.R.,2019,The Pathobiome in animal and plant diseases,Trends Ecol Evol,34(11):996-1008.

Chen J.,2020,Pathogenicity and transmissibility of 2019-nCoV-A quick overview and comparison with other emerging viruses,Microbes Infect,22(2):69-71.

Chiu C.Y.and Miller S.A.,2019,Clinical metagenomics,Nat Rev Genet,20(6):341-355.

Diener C.,Gibbons S.M.and Resendis-Antonio O.,2020,MICOM:Metagenome-scale modeling to infer metabolic interactions in the gut microbiota,mSystems,5(1):e00606-19.

Flannery J.E.,Stagaman K.,Burns A.R.,Hickey R.J.,Roos L.E.,Giuliano R.J.,Fisher P.A.,and Sharpton T.J.,2020,Gut feelings begin in childhood:the gut metagenome correlates with early environment,caregiving,and behavior,mBio,11(1):e02780-19.

Flygare S.,Simmon K.,Miller C.,Qiao Y.,Kennedy B.,Di Sera T.,Graf E.H.,Tardif K.D.,Kapusta A.,Rynearson S.,Stockmann C.,Queen K.,Tong S.,Voelkerding K.V.,Blaschke A.,Byington C.L.,Jain S.,Pavia A.,Ampofo K.,Eilbeck K.,Marth G.,Yandell M.,and Schlaberg R.,2016,Taxonomer:an interactive metagenomics analysis portal for universal pathogen detection and host mRNA expression profiling,Genome Biol,17(1):111.

Gaeta N.C.,Lima S.F.,Teixeira A.G.,Ganda E.K.,Oikonomou G.,Gregory L.,and Bicalho R.C.,2017,Deciphering upper respiratory tract microbiota complexity in healthy calves and calves that develop respiratory disease using shotgun metagenomics,J Dairy Sci,100(2):1445-1458.

Guan T.P.,Teng J.L.L.,Yeong K.Y.,You Z.Q.,Liu H.,Wong S.S.Y.,Lau S.K.P.,and Woo P.C.Y.,2018,Metagenomic analysis of Sichuan takin fecal sample viromes reveals novel enterovirus and astrovirus,Virology,521:77-91.

Gupta L.C.,Kumar Tiwari R.,and Cytryn E.,2020,Platforms for elucidating antibiotic resistance in single genomes and complex metagenomes,Environment International,138:105667-105682.

Hamza I.A.and Bibby K.,2019,Critical issues in application of molecular methods to environmental virology,JVirol Methods,266:11-24.

Huang P.,Zhang Y.,Xiao K.P.,Jiang F.,Wang H.C.,Tang D.Z.,Liu D.,Liu B.,Liu Y.S.,He X.,Liu H.,Liu X.B.,Qing Z.X.,Liu C.H.,Huang J.L.,Ren Y.W.,Yun L.,Yin L.J.,Lin Q.,Zeng C.,Su X.G.,Yuan J.Y.,Lin L.,Hu N.X.,Cao H.L.,Huang S.W.,Guo Y.M.,Fan W.,and Zeng J.G.,2018,The chicken gut metagenome and the modulatory effects of plant-derived benzylisoquinoline alkaloids,Microbiome,6(1):211.

Jee Y.,Carlson J.,Rafai E.,Musonda K.,Huong T.T.G.,Daza P.,Sattayawuthipong,W.and Yoon,T.,2018,Antimicrobial resistance:a threat to global health,The Lancet Infectious Diseases,18(9):939-940.

Kirst M.E.,Baker D.,Li E.,Abu-Hasan M.,and Wang G.P.,2019,Upper versus lower airway microbiome and metagenome in children with cystic fibrosis and their correlation with lung inflammation,PLoS ONE,14(9):e0222323.

Kumar H.,Park W.,Lim D.,Srikanth K.,Kim J.M.,Jia X.Z.,Han J.L.,Hanotte O.,Park J.E.,and Oyola S.O.,2020,Whole metagenome sequencing of cecum microbiomes in Ethiopian indigenous chickens from two different altitudes reveals antibiotic resistance genes,Genomics,112(2):1988-1999.

Lee H.S.,Kim J.,Son K.,Kim Y.,Hwang J.,Jeong H.,Ahn T.Y.,and Jheong W.H.,2020,Phylogenetic analysis of severe fever with thrombocytopenia syndrome virus in Korean water deer(Hydropotes inermis argyropus) in the Republic of Korea,Ticks Tick Borne Dis,11(2):101331.

Li J.,Zhang W.,Cui L.,Shen Q.,and Hua X.,2018,Metagenomic identification,genetic characterization and genotyping of porcine sapoviruses,Infect Genet Evol,62:244-252.

Liang J.,Mao G.,Yin X.,Ma L.,Liu L.,Bai Y.,Zhang T.,and Qu J.,2020,Identification and quantification of bacterial genomes carrying antibiotic resistance genes and virulence factor genes for aquatic microbiological risk assessment,Water Res,168:115160.

Libisch B.,Keresztény T.,Kerényi Z.,Kocsis R.,Sipos R.,Papp P.P.,and Olasz F.,2020,Metagenomic analysis of acquired antibiotic resistance determinants in the gut microbiota of wild boars(Sus scrofa)-preliminary results,Journal of Veterinary Research,(64):111-118.

Mattar C.,Edwards S.,Baraldi E.,and Hood J.,2020,An overview of the global antimicrobial resistance research and development hub and the current landscape,Curr Opin Microbiol,57:56-61.

Mokili J.L.,Rohwer F.,and Dutilh B.E.,2012,Metagenomics and future perspectives in virus discovery,Curr Opin Virol,2(1):63-77.

Padmanabhan R.,Mishra A.K.,Raoult D.,and Fournier P.E.,2013,Genomics and metagenomics in medical microbiology,J Microbiol Methods,95(3):415-424.

Pasolli E.,Asnicar F.,Manara S.,Zolfo M.,Karcher N.,Armanini F.,Beghini F.,Manghi P.,Tett A.,Ghensi P.,Collado M.C.,Rice B.L.,DuLong C.,Morgan X.C.,Golden C.D.,Quince C.,Huttenhower C.,and Segata N.,2019,Extensive unexplored human microbiome diversity revealed by over 150,000 genomes from metagenomes spanning age,Geography,and Lifestyle,Cell,176(3):649-662.

Perlejewski K.,Bukowska-Osko I.,Rydzanicz M.,Pawelczyk A.,Caraballo Corts K.,Osuch S.,Paciorek M.,Dzieciatkowski T.,Radkowski M.,and Laskus T.,2020,Next-generation sequencing in the diagnosis of viral encephalitis:sensitivity and clinical limitations,Sci Rep,10(1):16173.

Rusinol M.,Martinez-Puchol S.,Timoneda N.,FernandezCassi X.,Perez-Cataluna A.,Fernandez-Bravo A.,Moreno-Mesonero L.,Moreno Y.,Alonso J.L.,Figueras M.J.,Abril J.F.,Bofill-Mas S.,and Girones R.,2020,Metagenomic analysis of viruses,bacteria and protozoa in irrigation water,Int J Hyg Environ Health,224:113440.

Sorge U.S.,Binger E.M.,Schefers J.and Plummer P.J.,2019,Short communication:Metagenomic evaluation of skin biopsies of udder sores in dairy cows,J Dairy Sci,102(12):11470-11475.

Trotter A.J.,Aydin A.,Strinden M.J.,and O'Grady J.,2019,Recent and emerging technologies for the rapid diagnosis of infection and antimicrobial resistance,Curr Opin Microbiol,51:39-45.

Van Boheemen S.,van Rijn A.L.,Pappas N.,Carbo E.C.,Vorderman R.H.P.,Sidorov I.,van T.H.P.J.,Mei H.,Claas E.C.J.,Kroes A.C.M.,and de Vries J.J.C.,2020,Retrospective validation of a metagenomic sequencing protocol for combined detection of rna and DNA viruses using respiratory samples from pediatric patients,JMol Diagn,22(2):196-207.

Wang Y.N.,Hu Y.F.,Liu F.,Cao J.,Lv N.,Zhu B.L.,Zhang G.P.,and Gao G.F.,2020,Integrated metagenomic and metatranscriptomic profiling reveals differentially expressed resistomes in human,chicken,and pig gut microbiomes,Environ Int,138:105649.

Wee B.A.,Muloi D.M.,and van Bunnik B.A.D.,2020,Quantifying the transmission of antimicrobial resistance at the human and livestock interface with genomics,Clin Microbiol Infect,26(12):1612-1616.

Wuthrich D.,Boujon C.L.,Truchet L.,Selimovic-Hamza S.,Oevermann A.,Bouzalas I.G.,Bruggmann R.,and Seuberlich T.,2016,Exploring the virome of cattle with non-suppurative encephalitis of unknown etiology by metagenomics,Virology,493:22-30.

Yang L.E.,Zhao Z.H.,Hou G.B.,Zhang C.,Liu J.,Xu L.,Li W.,Tan Z.Z.,Tu C.C.,and He B.,2019,Genomes and seroprevalence of severe fever with thrombocytopenia syndrome virus and Nairobi sheep disease virus in Haemaphysalis longicornis ticks and goats in Hubei,China,Virology,529:234-245.

Zhao T.,Gong H.,Shen X.,Zhang W.,Shan T.,Yu X.,Wang S.J.,and Cui L.,2020,Comparison of Viromes in ticks from different domestic animals in China,Virol Sin,35(4):398-406.

Zhu Z.,2018,Analysis of the antibiotic resistance genes and isolate,genotype of shigella in bovine gut microflora,Dissertation for Ph.D.,Chinese Academy of Agricultural Sciences,Supervisor:Zhang J.Y.,pp.14-30.(朱阵,2018,牛肠道菌群携带耐药基因分析与志贺菌分离、分型及耐药性研究,博士学位论文,中国农业科学院,导师:张继瑜,pp.14-30.)

基本信息:

DOI:10.13417/j.gab.040.003475

中图分类号:S852.6

引用信息:

[1]敬晓棋,李娟,郝婷婷,等.宏基因组学技术在动物传染病原挖掘中的应用与进展[J].基因组学与应用生物学,2021,40(Z4):3475-3480.DOI:10.13417/j.gab.040.003475.

基金信息:

国家自然科学基金项目(31960710; 32060810); 榆林市产学研项目(CXY-2020-011); 榆林学院高学历人才启动金(14GK38)共同资助

发布时间:

2021-05-28

出版时间:

2021-05-28

网络发布时间:

2021-05-28

检 索 高级检索