已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Mechanisms to Mitigate the Trade-Off between Growth and Defense

生物 串扰 植物对草食的防御 基因 防御机制 后代 繁殖 农业 细胞生物学 生物技术 生态学 遗传学 光学 物理 怀孕
作者
Talia L. Karasov,Eunyoung Chae,Jacob J. Herman,Joy Bergelson
出处
期刊:The Plant Cell [Oxford University Press]
卷期号:29 (4): 666-680 被引量:543
标识
DOI:10.1105/tpc.16.00931
摘要

Plants have evolved an array of defenses against pathogens. However, mounting a defense response frequently comes with the cost of a reduction in growth and reproduction, carrying critical implications for natural and agricultural populations. This review focuses on how costs are generated and whether and how they can be mitigated. Most well-characterized growth-defense trade-offs stem from antagonistic crosstalk among hormones rather than an identified metabolic expenditure. A primary way plants mitigate such costs is through restricted expression of resistance; this can be achieved through inducible expression of defense genes or by the concentration of defense to particular times or tissues. Defense pathways can be primed for more effective induction, and primed states can be transmitted to offspring. We examine the resistance (R) genes as a case study of how the toll of defense can be generated and ameliorated. The fine-scale regulation of R genes is critical to alleviate the burden of their expression, and the genomic organization of R genes into coregulatory modules reduces costs. Plants can also recruit protection from other species. Exciting new evidence indicates that a plant's genotype influences the microbiome composition, lending credence to the hypothesis that plants shape their microbiome to enhance defense.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
万能图书馆应助杨冠渊采纳,获得10
1秒前
Zhang完成签到 ,获得积分10
2秒前
香蕉觅云应助一颗卷心菜采纳,获得10
2秒前
2秒前
香蕉觅云应助111采纳,获得10
3秒前
科研通AI6应助汉堡肉采纳,获得10
4秒前
5秒前
5秒前
善学以致用应助花盆大王采纳,获得30
5秒前
阿伟1999完成签到,获得积分10
6秒前
6秒前
快飞飞发布了新的文献求助10
6秒前
6秒前
Augustines完成签到,获得积分10
7秒前
独特的师发布了新的文献求助10
10秒前
10秒前
星辰大海应助Bailey采纳,获得10
10秒前
11秒前
lisa完成签到,获得积分10
11秒前
11秒前
ruer完成签到,获得积分10
11秒前
12秒前
神勇果汁发布了新的文献求助30
13秒前
万能图书馆应助缥缈擎汉采纳,获得10
14秒前
15秒前
Chen发布了新的文献求助10
15秒前
15秒前
15秒前
15秒前
充电宝应助毕业生采纳,获得10
16秒前
WangLu2025完成签到 ,获得积分10
16秒前
张雷发布了新的文献求助10
17秒前
Zhang发布了新的文献求助10
18秒前
19秒前
22秒前
安静含卉完成签到,获得积分20
23秒前
老芋头完成签到,获得积分10
23秒前
23秒前
23秒前
子彧完成签到,获得积分10
24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
List of 1,091 Public Pension Profiles by Region 1001
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
On the application of advanced modeling tools to the SLB analysis in NuScale. Part I: TRACE/PARCS, TRACE/PANTHER and ATHLET/DYN3D 500
L-Arginine Encapsulated Mesoporous MCM-41 Nanoparticles: A Study on In Vitro Release as Well as Kinetics 500
Washback Research in Language Assessment:Fundamentals and Contexts 400
Haematolymphoid Tumours (Part A and Part B, WHO Classification of Tumours, 5th Edition, Volume 11) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5469690
求助须知:如何正确求助?哪些是违规求助? 4572675
关于积分的说明 14336868
捐赠科研通 4499634
什么是DOI,文献DOI怎么找? 2465126
邀请新用户注册赠送积分活动 1453693
关于科研通互助平台的介绍 1428209