Identification and Mutational Analysis of Arabidopsis FLS2 Leucine-Rich Repeat Domain Residues That Contribute to Flagellin Perception

鞭毛蛋白 拟南芥 生物 富含亮氨酸重复 遗传学 拟南芥 突变 十字花科 系统发育树 保守序列 序列比对 突变体 计算生物学 基因 肽序列 植物
作者
F. Mark Dunning,Wenxian Sun,Kristin L. Jansen,Laura Helft,Andrew F. Bent
出处
期刊:The Plant Cell [Oxford University Press]
卷期号:19 (10): 3297-3313 被引量:111
标识
DOI:10.1105/tpc.106.048801
摘要

Abstract Mutational, phylogenetic, and structural modeling approaches were combined to develop a general method to study leucine-rich repeat (LRR) domains and were used to identify residues within the Arabidopsis thaliana FLAGELLIN-SENSING2 (FLS2) LRR that contribute to flagellin perception. FLS2 is a transmembrane receptor kinase that binds bacterial flagellin or a flagellin-based flg22 peptide through a presumed physical interaction within the FLS2 extracellular domain. Double-Ala scanning mutagenesis of solvent-exposed β-strand/β-turn residues across the FLS2 LRR domain identified LRRs 9 to 15 as contributors to flagellin responsiveness. FLS2 LRR-encoding domains from 15 Arabidopsis ecotypes and 20 diverse Brassicaceae accessions were isolated and sequenced. FLS2 is highly conserved across most Arabidopsis ecotypes, whereas more diversified functional FLS2 homologs were found in many but not all Brassicaceae accessions. flg22 responsiveness was correlated with conserved LRR regions using Conserved Functional Group software to analyze structural models of the LRR for diverse FLS2 proteins. This identified conserved spatial clusters of residues across the β-strand/β-turn residues of LRRs 12 to 14, the same area identified by the Ala scan, as well as other conserved sites. Site-directed randomizing mutagenesis of solvent-exposed β-strand/β-turn residues across LRRs 9 to 15 identified mutations that disrupt flg22 binding and showed that flagellin perception is dependent on a limited number of tightly constrained residues of LRRs 9 to 15 that make quantitative contributions to the overall phenotypic response.

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
聪明绝顶完成签到,获得积分10
1秒前
GAW完成签到,获得积分10
1秒前
海棠未眠完成签到,获得积分10
2秒前
000发布了新的文献求助10
2秒前
2秒前
浅渊完成签到,获得积分10
3秒前
3秒前
111发布了新的文献求助10
4秒前
5秒前
一颗苹果发布了新的文献求助10
7秒前
爆米花应助xuan采纳,获得10
7秒前
7秒前
Aurora发布了新的文献求助10
10秒前
10秒前
11秒前
英俊的铭应助000采纳,获得10
12秒前
15秒前
15秒前
17秒前
czq完成签到,获得积分10
17秒前
18秒前
20秒前
Andy关注了科研通微信公众号
20秒前
卡皮巴拉完成签到 ,获得积分10
20秒前
21秒前
甜甜的黑猫完成签到,获得积分10
22秒前
cc发布了新的文献求助10
22秒前
24秒前
唐政发布了新的文献求助10
25秒前
彭于晏应助王淳采纳,获得10
25秒前
传奇3应助wangxw采纳,获得10
26秒前
26秒前
ding应助xuan采纳,获得10
27秒前
Matin完成签到,获得积分10
27秒前
阿克发布了新的文献求助10
28秒前
28秒前
30秒前
诚心惜雪发布了新的文献求助10
30秒前
小巧秋天发布了新的文献求助10
31秒前
cdercder应助tly采纳,获得10
31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
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 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 7583462
求助须知:如何正确求助?哪些是违规求助? 9162196
关于积分的说明 19606301
捐赠科研通 7165505
什么是DOI,文献DOI怎么找? 3266283
关于科研通互助平台的介绍 2431182
邀请新用户注册赠送积分活动 2257737