引用本文:阮楚晋,熊广州,牛欣尧,陈国炜,吴汉卿,马泽超,朱堃,刘莹,王钢.一个东北农田黑土样品宏病毒组的初步分析[J].土壤学报,DOI:10.11766/trxb202104230215,[已录用].
阮楚晋,熊广州,牛欣尧,陈国炜,吴汉卿,马泽超,朱堃,刘莹,王钢.Metagenomic Analysis of the Viral Community Patterns and Functions of Farmland soil in the Black Soil Region of Northeast China[J].Acta Pedologica Sinica,DOI:10.11766/trxb202104230215,[In Press]
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一个东北农田黑土样品宏病毒组的初步分析
阮楚晋1,2, 熊广州3, 牛欣尧1, 陈国炜4, 吴汉卿1, 马泽超1, 朱堃1, 刘莹5, 王钢1
1.中国农业大学土地科学与技术学院;2.瑞士联邦水科学与技术研究所,杜本多夫;3.华中科技大学生命科学与技术学院;4.合肥工业大学土木与水利工程学院;5.北京大学地球与空间科学学院
摘要:
病毒在地球上无处不在,几乎能感染任何生物,包括动物、植物、真菌以及细菌等,因而在生物地球化学元素和能量的循环过程中发挥重要作用。了解土壤病毒基因信息有助于我们深入理解病毒在生态系统中所扮演的角色。本研究选取一个东北农田黑土样品中的病毒为研究对象,基于病毒宏基因组测序技术获得土壤病毒基因序列,并利用生物信息分析方法揭示土壤病毒多样性。同时,结合个性化分析宏病毒组基因序列、进行功能基因分析、宿主预测和单病毒基因组组装和注释。研究发现该农田土壤检测到的病毒主要归属于有尾噬菌体目(Caudovirales,59.38%)和疱疹病毒目(Herpesvirales,2.56%)等2个病毒目中的29个病毒科,其中以长尾噬菌体科(Siphoviridae)、微小噬菌体科(Microviridae)的病毒数量最多,分别占44.48%和20.53%。基因功能分析表明土壤病毒可能参与土壤中的酶催化、生物代谢(如氮化合物代谢、分解代谢、多生物代谢、细胞代谢、初级代谢、含碱基小分子代谢以及有机物代谢等)等过程。宿主预测分析揭示检测到的病毒宿主分属5个菌门中的35个菌属。本研究结果丰富了土壤病毒的基因数据库,为土壤病毒分离提供参考,并为进一步理解土壤病毒生态学意义提供数据支撑。
关键词:  黑土  病毒  宏基因组  群落结构  生态功能
基金项目:国家重点研发专项(2016YFD0200306)、国家自然科学基金项目(41877412)和国家千人计划青年项目(2016)、中国农业大学研究生自主创新研究基金项目(2020XYZC24A)资助
Metagenomic Analysis of the Viral Community Patterns and Functions of Farmland soil in the Black Soil Region of Northeast China
RUAN Chujin1,2, XIONG Guangzhou3, NIU Xinyao1, CHEN Guowei4, WU Hanqing1, MA Zechao1, ZHU Kun1, LIU Ying5, WANG Gang1
1.Collage of Land Science and Technology,China Agricultural University;2.Swiss Federal Institute of Aquatic Science and Technology,Dübendorf ,Switzerland;3.Huazhong University of Science and Technology College of Life Science and Technology;4.College of Civil Engineering,Hefei University of Technology;5.School of Earth and Space Sciences,Peking University
Abstract:
[Objective]Viruses exist almost everywhere on Earth. They can infect humans, animals, plants, fungi, and even bacteria, and thus play critical roles in the biogeochemical cycling of elements and energy. Knowledge of the viruses’ community patterns and genomic information is key for proper understanding of their crucial ecological functions. This study aims to quantify the viral community patterns and functions in a farmland black soil of Northeast China and analyze their potential roles in soil ecosystems. [Method]The metagenome sequences of the viruses were obtained based on metagenomics sequencing technology and were analyzed individually for functional gene analysis, host prediction, and genome assembly of viral Contigs. A bioinformatics software was employed to analyze the diversity patterns of the viruses. [Result]The results showed that the majority of the viruses in the farmland black soil belonged to Caudovirales (59.38%) and Herpesvirales (2.56%) orders. This consisted of 29 families, with Siphoviridae and Microviridae representing the top two abundant families and accounting for about 44.48% and 20.53%, respectively. Gene annotation analysis revealed that soil viruses may actively contribute to numerous biogeochemical cycling processes, including nitrogen compounds metabolism, catabolism, biosynthesis, methylation, multi-organism metabolism, cellular metabolism, primary metabolism, nucleobase-containing small molecules metabolism, and organic substance metabolism, etc. Additional analysis showed that the virus hosts could be classified into 35 genera that belong to 5 phyla. [Conclusion]With these quantitative measurements, this study provides necessary information towards advancing the virus gene database of the black soil and its ecological functions.
Key words:  Black soil  Virus  Viral metagenome  Viral Community  Ecological Function