Volatile-mediated plant–plant communication and higher-level ecological dynamics

生物 生态学 背景(考古学) 信息传递 人口 计算机科学 电信 社会学 人口学 古生物学
作者
André Kessler,Michael Mueller,Aino Kalske,Alexander Chautá
出处
期刊:Current Biology [Elsevier]
卷期号:33 (11): R519-R529 被引量:7
标识
DOI:10.1016/j.cub.2023.04.025
摘要

Volatile organic compounds (VOCs) in general and herbivory-induced plant volatiles (HIPVs) in particular are increasingly understood as major mediators of information transfer between plant tissues. Recent findings have moved the field of plant communication closer to a detailed understanding of how plants emit and perceive VOCs and seem to converge on a model that juxtaposes perception and emission mechanisms. These new mechanistic insights help to explain how plants can integrate different types of information and how environmental noise can affect the transmission of information. At the same time, ever-new functions of VOC-mediated plant-plant interactions are being revealed. Chemical information transfer between plants is now known to fundamentally affect plant organismal interactions and, additionally, population, community, and ecosystem dynamics. One of the most exciting new developments places plant-plant interactions along a behavioral continuum with an eavesdropping strategy at one end and mutually beneficial information-sharing among plants within a population at the other. Most importantly and based on recent findings as well as theoretical models, plant populations can be predicted to evolve different communication strategies depending on their interaction environment. We use recent studies from ecological model systems to illustrate this context dependency of plant communication. Moreover, we review recent key findings about the mechanisms and functions of HIPV-mediated information transfer and suggest conceptual links, such as to information theory and behavioral game theory, as valuable tools for a deeper understanding of how plant-plant communication affects ecological and evolutionary dynamics.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
今后应助oyc采纳,获得30
1秒前
1秒前
1秒前
3秒前
5秒前
解耷发布了新的文献求助10
5秒前
修仙发布了新的文献求助10
6秒前
上官若男应助无限的老虎采纳,获得10
7秒前
7秒前
影子发布了新的文献求助10
8秒前
9秒前
hh关闭了hh文献求助
9秒前
科研通AI2S应助含蓄浩天采纳,获得10
10秒前
10秒前
传奇3应助阔达的若剑采纳,获得10
11秒前
拼搏海莲发布了新的文献求助10
11秒前
loading发布了新的文献求助10
12秒前
好好想想发布了新的文献求助10
13秒前
13秒前
秋雪瑶应助魁梧的白羊采纳,获得10
14秒前
超锅发布了新的文献求助10
14秒前
秋雪瑶应助瘦不了采纳,获得10
16秒前
DKY完成签到 ,获得积分10
16秒前
大个应助Shaw采纳,获得10
17秒前
18秒前
丘比特应助木易采纳,获得10
18秒前
oyc发布了新的文献求助30
18秒前
hainuo401完成签到,获得积分10
18秒前
nanjiren完成签到,获得积分10
19秒前
1900发布了新的文献求助10
19秒前
huihui发布了新的文献求助20
22秒前
22秒前
23秒前
完美世界应助彩色的芝麻采纳,获得10
26秒前
26秒前
27秒前
晨芒完成签到,获得积分10
27秒前
hh发布了新的文献求助10
27秒前
瘦不了发布了新的文献求助10
28秒前
小二郎应助1900采纳,获得10
29秒前
高分求助中
Manual of Clinical Microbiology, 4 Volume Set (ASM Books) 13th Edition 1000
Teaching Social and Emotional Learning in Physical Education 900
The three stars each : the Astrolabes and related texts 550
Boris Pesce - Gli impiegati della Fiat dal 1955 al 1999 un percorso nella memoria 500
Chinese-English Translation Lexicon Version 3.0 500
Recherches Ethnographiques sue les Yao dans la Chine du Sud 500
[Lambert-Eaton syndrome without calcium channel autoantibodies] 460
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2399725
求助须知:如何正确求助?哪些是违规求助? 2100481
关于积分的说明 5295487
捐赠科研通 1828213
什么是DOI,文献DOI怎么找? 911229
版权声明 560142
科研通“疑难数据库(出版商)”最低求助积分说明 487075