亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Viral metagenomics

基因组 生物 人病毒体 核酸 计算生物学 病毒进化 病毒学 病毒复制 病毒 核糖核酸 遗传学 基因
作者
Eric Delwart
出处
期刊:Reviews in Medical Virology [Wiley]
卷期号:17 (2): 115-131 被引量:242
标识
DOI:10.1002/rmv.532
摘要

Abstract Characterisation of new viruses is often hindered by difficulties in amplifying them in cell culture, limited antigenic/serological cross‐reactivity or the lack of nucleic acid hybridisation to known viral sequences. Numerous molecular methods have been used to genetically characterise new viruses without prior in vitro replication or the use of virus‐specific reagents. In the recent metagenomic studies viral particles from uncultured environmental and clinical samples have been purified and their nucleic acids randomly amplified prior to subcloning and sequencing. Already known and novel viruses were then identified by comparing their translated sequence to those of viral proteins in public sequence databases. Metagenomic approaches to viral characterisation have been applied to seawater, near shore sediments, faeces, serum, plasma and respiratory secretions and have broadened the range of known viral diversity. Selection of samples with high viral loads, purification of viral particles, removal of cellular nucleic acids, efficient sequence‐independent amplification of viral RNA and DNA, recognisable sequence similarities to known viral sequences and deep sampling of the nucleic acid populations through large scale sequencing can all improve the yield of new viruses. This review lists some of the animal viruses recently identified using sequence‐independent methods, current laboratory and bioinformatics methods, together with their limitations and potential improvements. Viral metagenomic approaches provide novel opportunities to generate an unbiased characterisation of the viral populations in various organisms and environments. Copyright © 2007 John Wiley & Sons, Ltd.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
NovaZ完成签到,获得积分10
刚刚
2秒前
7秒前
充电宝应助想喝三碗粥采纳,获得10
7秒前
lzj完成签到,获得积分10
8秒前
12秒前
13秒前
14秒前
14秒前
辛勤的寒荷完成签到,获得积分20
18秒前
18秒前
18秒前
霸气侧漏发布了新的文献求助10
18秒前
二丙发布了新的文献求助10
23秒前
c138zyx完成签到 ,获得积分10
25秒前
孤独怀寒完成签到,获得积分10
26秒前
26秒前
31秒前
乐乐完成签到 ,获得积分10
33秒前
想喝三碗粥完成签到,获得积分10
35秒前
顾矜应助陶醉的灵枫采纳,获得10
36秒前
猪猪花完成签到,获得积分10
44秒前
九星完成签到 ,获得积分10
54秒前
缓慢的雨筠完成签到,获得积分10
56秒前
hazekurt完成签到,获得积分10
56秒前
1分钟前
1分钟前
默默无闻完成签到 ,获得积分10
1分钟前
1分钟前
1分钟前
VIKKIIIIIII完成签到,获得积分10
1分钟前
无私的迎蓉完成签到,获得积分10
1分钟前
橡树果完成签到,获得积分10
1分钟前
顾矜应助陶醉的灵枫采纳,获得10
1分钟前
1分钟前
霸气侧漏完成签到,获得积分10
1分钟前
Lucas应助VIKKIIIIIII采纳,获得10
1分钟前
科研通AI6.2应助霸气侧漏采纳,获得10
1分钟前
独特的项链完成签到,获得积分10
1分钟前
深情安青应助卿亦佳人采纳,获得10
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The role of consumer psychology in the marketing strategies of pop mart in Thailand 500
核安全综合知识2024版 500
Photothermal Science and Techniques 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7720374
求助须知:如何正确求助?哪些是违规求助? 9274138
关于积分的说明 20100521
捐赠科研通 7296698
什么是DOI,文献DOI怎么找? 3300138
关于科研通互助平台的介绍 2454004
邀请新用户注册赠送积分活动 2307624