Genetic determinism of phage-bacteria coevolution in natural populations

共同进化 决定论 自然(考古学) 生物 进化生物学 细菌 计算生物学
作者
Damien Piel,Maxime Bruto,Yannick Labreuche,François Blanquart,Sabine Chenivesse,Sophie Lepanse,Adèle James,Rubén Barcia-Cruz,Javier Dubert,Bruno Petton,Erica Lieberman,K. Mathias Wegner,Fatima A. Hussain,Kathryn M. Kauffman,Martin F. Polz,David Bikard,Sylvain Gandon,Frédérique Le Roux
出处
期刊:bioRxiv 被引量:1
标识
DOI:10.1101/2021.05.05.442762
摘要

ABSTRACT Coevolution between bacteriophage (or phage) and their bacterial host is thought to be key for the coexistence of these antagonists. Recent studies have revealed the major role of mobile genetic elements in the emergence of phage resistant hosts but how phage escape these defenses in the wild remained to be explored. Here we show a striking parallel in phage evolving counter defenses to host defenses in natural population. We established a large collection of phages and their bacterial hosts and we explored the genetic structure of their interaction. We find that clearly delineated genomic clusters of phage are specific for distinct clades within a bacterial species, Vibrio crassostreae , yet while all phages can adsorb, only a subset of hosts are killed due to intracellular defense mechanisms. Host genomes contain multiple mobile defense genes and susceptibility to phage is negatively correlated with genome size. Phages also display extensive gene content variation, but their genome size remains conserved. We show that this gene content variation in hosts and phage is due to rapid turnover of genes involved in defense and escape, and that by exchanging anti-defense genes, phages irreversibly switch host. This could be indicative of co-evolution following the matching-allele-model of specificity and the spatial and temporal variability of phage infectivity further suggests that negative-frequency dependent selection drives phage-vibrio coevolutionary dynamics. We propose a “pan-escape system” that can be shared among phages by homologous recombination within a population that infects a bacterial host.
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
酷炫蚂蚁发布了新的文献求助10
刚刚
刚刚
Andy_Cheung完成签到,获得积分10
刚刚
feng完成签到,获得积分10
1秒前
maomao发布了新的文献求助10
1秒前
leena完成签到,获得积分10
1秒前
1秒前
青衣北风发布了新的文献求助10
2秒前
feng发布了新的文献求助10
2秒前
guygun发布了新的文献求助10
5秒前
小灰灰完成签到,获得积分10
6秒前
6秒前
海鸥海鸥发布了新的文献求助10
7秒前
青衣北风完成签到,获得积分10
7秒前
9秒前
MasterE完成签到,获得积分10
10秒前
我的小伙伴应助feng采纳,获得10
10秒前
善学以致用应助feng采纳,获得10
10秒前
11秒前
11秒前
gaoww发布了新的文献求助10
11秒前
小二发布了新的文献求助10
15秒前
solobang发布了新的文献求助10
16秒前
CodeCraft应助Jocelyn7采纳,获得10
16秒前
秋之月完成签到,获得积分10
16秒前
17秒前
cheche关注了科研通微信公众号
17秒前
18秒前
科研小民工应助kento采纳,获得50
19秒前
完美世界应助小萌采纳,获得10
20秒前
20秒前
gaoww完成签到,获得积分10
20秒前
21秒前
WZ0904发布了新的文献求助10
21秒前
21秒前
lab完成签到 ,获得积分0
21秒前
小蘑菇应助今今采纳,获得10
22秒前
CodeCraft应助秋之月采纳,获得10
22秒前
I1waml完成签到 ,获得积分10
22秒前
22秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
Luis Lacasa - Sobre esto y aquello 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 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 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527990
求助须知:如何正确求助?哪些是违规求助? 3108173
关于积分的说明 9287913
捐赠科研通 2805882
什么是DOI,文献DOI怎么找? 1540119
邀请新用户注册赠送积分活动 716941
科研通“疑难数据库(出版商)”最低求助积分说明 709824