Very Low Rate of Gene Conversion in the Yeast Genome

作者
Claudio Casola,Gavin C. Conant,Matthew W. Hahn
出处
期刊:Molecular Biology and Evolution [Oxford University Press]
卷期号:29 (12): 3817-3826 被引量:27
标识
DOI:10.1093/molbev/mss192
摘要

Gene duplication is a major driver of organismal adaptation and evolution and plays an important role in multiple human diseases. Whole-genome analyses have shown similar and high rates of gene duplication across a variety of eukaryotic species. Most of these studies, however, did not address the possible impact of interlocus gene conversion (IGC) on the evolution of gene duplicates. Because IGC homogenizes pairs of duplicates, widespread conversion would cause gene duplication events that happened long ago to appear more recent, resulting in artificially high estimates of duplication rates. Although the majority of genome-wide studies (including in the budding yeast Saccharomyces cerevisiae [Scer]) point to levels of IGC between paralogs ranging from 2% to 18%, Gao and Innan (Gao LZ, Innan H. 2004. Very low gene duplication rate in the yeast genome. Science 306:1367-1370.) found that gene conversion in yeast affected >80% of paralog pairs. If conversion rates really are this high, it would imply that the rate of gene duplication in eukaryotes is much lower than previously reported. In this work, we apply four different methodologies-including one approach that closely mirrors Gao and Innan's method-to estimate the level of IGC in Scer. Our analyses point to a maximum conversion level of 13% between paralogs in this species, in close agreement with most estimates of IGC in eukaryotes. We also show that the exceedingly high levels of conversion found previously derive from application of an accurate method to an inappropriate data set. In conclusion, our work provides the most striking evidence to date supporting the reduced incidence of IGC among Scer paralogs and sets up a framework for future analyses in other eukaryotes.

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
酱酱C完成签到,获得积分10
刚刚
刚刚
www完成签到,获得积分10
刚刚
东方元语应助KEFE采纳,获得20
1秒前
张超超完成签到,获得积分20
1秒前
大模型应助南星采纳,获得10
2秒前
冷静妙海完成签到 ,获得积分10
3秒前
收皮皮完成签到 ,获得积分10
3秒前
3秒前
留白发布了新的文献求助10
3秒前
研友_VZG7GZ应助穆雨采纳,获得10
4秒前
科目三应助仄言采纳,获得10
4秒前
4秒前
4秒前
5秒前
6秒前
风灵发布了新的文献求助10
6秒前
芝麻糊了发布了新的文献求助10
7秒前
xinying发布了新的文献求助10
7秒前
zhu完成签到,获得积分10
7秒前
TGH发布了新的文献求助10
8秒前
9秒前
涣醒发布了新的文献求助30
9秒前
CipherSage应助深林狼采纳,获得10
9秒前
Soup发布了新的文献求助10
9秒前
英勇水云完成签到,获得积分20
10秒前
阿然完成签到,获得积分10
10秒前
11秒前
搞怪的碧空关注了科研通微信公众号
11秒前
11秒前
张少伟发布了新的文献求助10
11秒前
爆米花应助youwenjing11采纳,获得10
11秒前
星辰大海应助涣醒采纳,获得10
13秒前
Juvenilesy完成签到,获得积分10
13秒前
torrikia完成签到,获得积分10
13秒前
yaooo发布了新的文献求助10
14秒前
Alex应助冥冥之极为昭昭采纳,获得50
15秒前
Sunziy完成签到,获得积分10
16秒前
16秒前
完美的飞丹完成签到,获得积分10
16秒前
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
Römisch-Germanische Forschungen 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Green Fire Retardants for Polymeric Materials 400
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 7614284
求助须知:如何正确求助?哪些是违规求助? 9189647
关于积分的说明 19690022
捐赠科研通 7187194
什么是DOI,文献DOI怎么找? 3271119
关于科研通互助平台的介绍 2434485
邀请新用户注册赠送积分活动 2266062