A quantitative analysis of complementation of deleterious mutants in plant virus populations

互补 突变体 生物 遗传学 转基因 蛋白质片段互补分析 烟草花叶病毒 突变 病毒 转化(遗传学) 病毒学 基因
作者
Aurora Fraile,Soledad Sacristán,Fernando García‐Arenal
出处
期刊:Spanish Journal of Agricultural Research [Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria]
卷期号:6: 195-200 被引量:9
标识
DOI:10.5424/sjar/200806s1-388
摘要

Complementation can be defined as the process by which the function affected by a mutation is provided in trans by fully competent genotypes. Complementation can, thus, counter the effects of selection of deleterious mutants. Complementation of mutants defective for replication, movement and transmission has been often described in experiments with viruses and, occasionally, has been reported to occur in their natural populations. However, the role of complementation in virus evolution has been overlooked. Here is provided a quantitative estimate of the efficiency of complementation, defined as the probability that a non-functional mutant accomplishes a function relative to a functional one. For this, the frequency of mutants of Tobacco mosaic virus (TMV) defective for cell to cell movement was estimated in wild type tobacco plants and in transgenic plants expressing the TMV movement protein (MP) from a transgene. Mutants lethal for cell-to-cell movement were complemented by wild-type TMV in the first case, and by the transgene-expressed MP in the second case. Assuming that complementation is fully efficient in the transgenic plants, a value for the efficiency of complementation of 0.34 was obtained. Thus, complementation can efficiently counter selection on lethal mutants, and may have an important role on virus evolution. Complementation may be relevant for management of viral diseases if the complemented deleterious mutation is linked to other functions affecting the pathogenicity or epidemiology of the virus.
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
氨基酸完成签到,获得积分10
刚刚
小月发布了新的文献求助10
刚刚
刚刚
Zzzz完成签到 ,获得积分10
刚刚
lzzj发布了新的文献求助10
刚刚
方圆完成签到,获得积分10
1秒前
1秒前
玲珑油豆腐完成签到,获得积分10
1秒前
1秒前
2秒前
星辰大海应助秋辞采纳,获得10
2秒前
2秒前
科研通AI5应助OceanBlvdforme采纳,获得10
2秒前
VDC发布了新的文献求助10
2秒前
3秒前
香蕉觅云应助DXXX采纳,获得10
4秒前
4秒前
海鸥海鸥发布了新的文献求助30
4秒前
4秒前
深情安青应助系统提示采纳,获得10
4秒前
传奇3应助阿宝采纳,获得10
5秒前
韭黄发布了新的文献求助10
5秒前
6秒前
桐桐应助玲珑油豆腐采纳,获得10
6秒前
charih完成签到 ,获得积分10
6秒前
hxy808关注了科研通微信公众号
7秒前
佚小满完成签到,获得积分10
7秒前
c123完成签到 ,获得积分10
8秒前
8秒前
berry发布了新的文献求助10
8秒前
超11发布了新的文献求助10
8秒前
9秒前
9秒前
隐形曼青应助烩面大师采纳,获得10
9秒前
9秒前
默然的歌完成签到 ,获得积分10
9秒前
CTL发布了新的文献求助10
10秒前
10秒前
10秒前
大鹏完成签到,获得积分10
10秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527699
求助须知:如何正确求助?哪些是违规求助? 3107752
关于积分的说明 9286499
捐赠科研通 2805513
什么是DOI,文献DOI怎么找? 1539954
邀请新用户注册赠送积分活动 716878
科研通“疑难数据库(出版商)”最低求助积分说明 709759