S-RNase Alleles Associated With Self-Compatibility in the Tomato Clade: Structure, Origins, and Expression Plasticity

生物 遗传学 核糖核酸酶P 基因 等位基因 核糖核酸酶MRP 基因沉默 基因表达 核糖核酸
作者
Amanda K. Broz,Christopher M. Miller,You Soon Baek,Alejandro Tovar‐Méndez,Pablo G. Acosta-Quezada,Tanya Elizabet Riofrío-Cuenca,Douglas B. Rusch,Patricia A. Bedinger
出处
期刊:Frontiers in Genetics [Frontiers Media]
卷期号:12 被引量:10
标识
DOI:10.3389/fgene.2021.780793
摘要

The self-incompatibility (SI) system in the Solanaceae is comprised of cytotoxic pistil S-RNases which are countered by S-locus F-box (SLF) resistance factors found in pollen. Under this barrier-resistance architecture, mating system transitions from SI to self-compatibility (SC) typically result from loss-of-function mutations in genes encoding pistil SI factors such as S-RNase. However, the nature of these mutations is often not well characterized. Here we use a combination of S-RNase sequence analysis, transcript profiling, protein expression and reproductive phenotyping to better understand different mechanisms that result in loss of S-RNase function. Our analysis focuses on 12 S-RNase alleles identified in SC species and populations across the tomato clade. In six cases, the reason for gene dysfunction due to mutations is evident. The six other alleles potentially encode functional S-RNase proteins but are typically transcriptionally silenced. We identified three S-RNase alleles which are transcriptionally silenced under some conditions but actively expressed in others. In one case, expression of the S-RNase is associated with SI. In another case, S-RNase expression does not lead to SI, but instead confers a reproductive barrier against pollen tubes from other tomato species. In the third case, expression of S-RNase does not affect self, interspecific or inter-population reproductive barriers. Our results indicate that S-RNase expression is more dynamic than previously thought, and that changes in expression can impact different reproductive barriers within or between natural populations.
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
丘比特应助科研通管家采纳,获得10
刚刚
充电宝应助wl采纳,获得10
刚刚
梓榆完成签到 ,获得积分10
刚刚
充电宝应助科研通管家采纳,获得10
刚刚
上官若男应助科研通管家采纳,获得10
刚刚
刚刚
刚刚
刚刚
molihuakai应助科研通管家采纳,获得10
1秒前
Hello应助科研通管家采纳,获得10
1秒前
1秒前
等待的寒松完成签到 ,获得积分10
1秒前
1秒前
Ava应助科研通管家采纳,获得10
1秒前
在水一方应助科研通管家采纳,获得10
1秒前
上官若男应助科研通管家采纳,获得10
1秒前
脑洞疼应助科研通管家采纳,获得10
2秒前
2秒前
2秒前
MaoTwo发布了新的文献求助10
2秒前
斯文败类应助科研通管家采纳,获得10
2秒前
Akim应助科研通管家采纳,获得10
2秒前
2秒前
我是老大应助科研通管家采纳,获得20
2秒前
慕青应助科研通管家采纳,获得10
2秒前
2秒前
3秒前
cdercder应助hyw采纳,获得10
3秒前
dkw完成签到 ,获得积分10
4秒前
4秒前
ylz关注了科研通微信公众号
5秒前
Mely0203完成签到,获得积分20
5秒前
molihuakai应助没骨头大人采纳,获得10
5秒前
6秒前
maowei发布了新的文献求助10
6秒前
6秒前
MHR发布了新的文献求助10
7秒前
维尼完成签到,获得积分10
7秒前
科研通AI6.2应助熊大采纳,获得10
7秒前
ly发布了新的文献求助10
7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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 400
Management and the Arts 310
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 7629705
求助须知:如何正确求助?哪些是违规求助? 9204069
关于积分的说明 19736982
捐赠科研通 7199182
什么是DOI,文献DOI怎么找? 3274314
关于科研通互助平台的介绍 2436445
邀请新用户注册赠送积分活动 2270480