R esearch article Very Low Rate of Gene Conversion in the Yeast Genome

作者
Claudio Casola,Gavin C. Conant,Matthew W. Hahn
链接
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. Key words: gene duplication, Saccharomyces cerevisiae, interlocus gene conversion.

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
1秒前
可爱的函函应助热心小蕊采纳,获得10
2秒前
科研通AI6.4应助never采纳,获得10
4秒前
敏感的烧鹅应助chenxin7271采纳,获得10
5秒前
wxyshare应助顶天立地采纳,获得10
6秒前
嘉昕完成签到,获得积分10
7秒前
Owen应助Su采纳,获得10
9秒前
Ryq123完成签到,获得积分10
9秒前
难过飞瑶完成签到,获得积分10
12秒前
新年快乐完成签到,获得积分10
12秒前
12秒前
14秒前
香蕉觅云应助阳阳采纳,获得10
15秒前
nav发布了新的文献求助10
17秒前
17秒前
青松完成签到,获得积分10
18秒前
19秒前
豆子发布了新的文献求助10
19秒前
19秒前
19秒前
20秒前
认真的莹完成签到,获得积分10
20秒前
酷酷的安柏完成签到 ,获得积分10
20秒前
21秒前
科研通AI6.4应助朱先生采纳,获得10
21秒前
Yy发布了新的文献求助10
22秒前
zho关闭了zho文献求助
22秒前
司空尔丝发布了新的文献求助10
23秒前
23秒前
wforike完成签到,获得积分10
23秒前
热心小蕊发布了新的文献求助10
24秒前
PairZhu发布了新的文献求助10
24秒前
24秒前
hhhhwe000完成签到,获得积分10
24秒前
25秒前
25秒前
26秒前
忧郁的玉米投手完成签到,获得积分10
27秒前
29秒前
30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 7614814
求助须知:如何正确求助?哪些是违规求助? 9190131
关于积分的说明 19691367
捐赠科研通 7187486
什么是DOI,文献DOI怎么找? 3271178
关于科研通互助平台的介绍 2434525
邀请新用户注册赠送积分活动 2266193