Evolution of intron splicing towards optimized gene expression is based on various Cis- and Trans-molecular mechanisms

生物 RNA剪接 内含子 剪接体 遗传学 基因 选择性拼接 前体mRNA 基因表达 计算生物学 细胞生物学 外显子 核糖核酸
作者
Idan Frumkin,Ido Yofe,Raz Bar‐Ziv,Yonat Gurvich,Yen-Yun Lu,Yoav Voichek,Ruth Towers,Dvir Schirman,Heike Krebber,Yitzhak Pilpel
出处
期刊:PLOS Biology [Public Library of Science]
卷期号:17 (8): e3000423-e3000423 被引量:19
标识
DOI:10.1371/journal.pbio.3000423
摘要

Splicing expands, reshapes, and regulates the transcriptome of eukaryotic organisms. Despite its importance, key questions remain unanswered, including the following: Can splicing evolve when organisms adapt to new challenges? How does evolution optimize inefficiency of introns' splicing and of the splicing machinery? To explore these questions, we evolved yeast cells that were engineered to contain an inefficiently spliced intron inside a gene whose protein product was under selection for an increased expression level. We identified a combination of mutations in Cis (within the gene of interest) and in Trans (in mRNA-maturation machinery). Surprisingly, the mutations in Cis resided outside of known intronic functional sites and improved the intron's splicing efficiency potentially by easing tight mRNA structures. One of these mutations hampered a protein's domain that was not under selection, demonstrating the evolutionary flexibility of multi-domain proteins as one domain functionality was improved at the expense of the other domain. The Trans adaptations resided in two proteins, Npl3 and Gbp2, that bind pre-mRNAs and are central to their maturation. Interestingly, these mutations either increased or decreased the affinity of these proteins to mRNA, presumably allowing faster spliceosome recruitment or increased time before degradation of the pre-mRNAs, respectively. Altogether, our work reveals various mechanistic pathways toward optimizations of intron splicing to ultimately adapt gene expression patterns to novel demands.
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
chen发布了新的文献求助10
刚刚
星星发布了新的文献求助20
刚刚
刚刚
ANG发布了新的文献求助10
刚刚
可爱的函函应助Huang采纳,获得10
1秒前
1秒前
1秒前
Lismart完成签到,获得积分10
1秒前
笑点低的斌完成签到,获得积分20
2秒前
3秒前
3秒前
5秒前
xuan发布了新的文献求助10
5秒前
文龙发布了新的文献求助10
5秒前
所所应助shimly0101xx采纳,获得10
5秒前
快乐雁玉发布了新的文献求助10
6秒前
可爱的函函应助典雅紫萍采纳,获得10
6秒前
6秒前
6秒前
7秒前
gulugulu完成签到 ,获得积分10
7秒前
黄勇平完成签到,获得积分10
7秒前
8秒前
优雅含灵完成签到 ,获得积分10
8秒前
隐形曼青应助xue采纳,获得10
8秒前
Orange应助彩色的听兰采纳,获得30
9秒前
完美世界应助尤寄风采纳,获得10
9秒前
小左完成签到,获得积分10
9秒前
深情安青应助小西贝采纳,获得10
9秒前
9秒前
Kevin发布了新的文献求助10
10秒前
ylz完成签到,获得积分10
10秒前
10秒前
wuyany33发布了新的文献求助10
11秒前
精神稳定发布了新的文献求助150
11秒前
xuan发布了新的文献求助10
11秒前
11秒前
Lyf完成签到 ,获得积分10
12秒前
科研通AI2S应助why采纳,获得10
12秒前
ding应助qian采纳,获得10
12秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 2030
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 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 7576153
求助须知:如何正确求助?哪些是违规求助? 9155745
关于积分的说明 19586634
捐赠科研通 7160259
什么是DOI,文献DOI怎么找? 3264915
关于科研通互助平台的介绍 2430082
邀请新用户注册赠送积分活动 2255502