Pathogenicity Genes in Ustilaginoidea virens Revealed by a Predicted Protein–Protein Interaction Network

生物 致病性 基因 遗传学 蛋白质-蛋白质相互作用 蛋白质相互作用网络 计算生物学 微生物学
作者
Kang Zhang,Yuejiao Li,Tengjiao Li,Zhigang Li,Tom Hsiang,Ziding Zhang,Wenxian Sun
出处
期刊:Journal of Proteome Research [American Chemical Society]
卷期号:16 (3): 1193-1206 被引量:24
标识
DOI:10.1021/acs.jproteome.6b00720
摘要

Rice false smut, caused by Ustilaginoidea virens, produces significant losses in rice yield and grain quality and has recently emerged as one of the most important rice diseases worldwide. Despite its importance in rice production, relatively few studies have been conducted to illustrate the complex interactome and the pathogenicity gene interactions. Here a protein-protein interaction network of U. virens was built through two well-recognized approaches, interolog- and domain-domain interaction-based methods. A total of 20 217 interactions associated with 3305 proteins were predicted after strict filtering. The reliability of the network was assessed computationally and experimentally. The topology of the interactome network revealed highly connected proteins. A pathogenicity-related subnetwork involving up-regulated genes during early U. virens infection was also constructed, and many novel pathogenicity proteins were predicted in the subnetwork. In addition, we built an interspecies PPI network between U. virens and Oryza sativa, providing new insights for molecular interactions of this host-pathogen pathosystem. A web-based publicly available interactive database based on these interaction networks has also been released. In summary, a proteome-scale map of the PPI network was described for U. virens, which will provide new perspectives for finely dissecting interactions of genes related to its pathogenicity.
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
zhengmin发布了新的文献求助10
刚刚
guohuameike完成签到,获得积分10
1秒前
量子星尘发布了新的文献求助10
2秒前
lalala发布了新的文献求助30
3秒前
脑洞疼应助tjycoder采纳,获得10
4秒前
赘婿应助shadow采纳,获得10
7秒前
9秒前
9秒前
量子星尘发布了新的文献求助50
9秒前
xxx完成签到 ,获得积分10
10秒前
醉熏的水绿完成签到 ,获得积分10
10秒前
tjycoder完成签到,获得积分10
13秒前
qq完成签到 ,获得积分10
13秒前
13秒前
果茶去冰完成签到 ,获得积分10
14秒前
14秒前
15秒前
15秒前
hy1234完成签到 ,获得积分10
15秒前
科研通AI6应助汪队小跟班采纳,获得10
16秒前
16秒前
16秒前
浅眸流年完成签到,获得积分10
17秒前
LA发布了新的文献求助20
18秒前
老实向雁完成签到,获得积分10
18秒前
yznfly应助ming采纳,获得30
19秒前
光亮的小兔子完成签到,获得积分10
19秒前
量子星尘发布了新的文献求助50
21秒前
李爱国应助科研通管家采纳,获得10
22秒前
JamesPei应助科研通管家采纳,获得10
22秒前
科研通AI6应助科研通管家采纳,获得10
22秒前
22秒前
pluto应助科研通管家采纳,获得10
22秒前
科研通AI2S应助科研通管家采纳,获得10
22秒前
烟花应助科研通管家采纳,获得10
22秒前
顾矜应助科研通管家采纳,获得10
22秒前
22秒前
22秒前
充电宝应助科研通管家采纳,获得10
23秒前
Lucas应助科研通管家采纳,获得30
23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
Nuclear Fuel Behaviour under RIA Conditions 500
金属塑性变形多尺度模拟 400
Sociologies et cosmopolitisme méthodologique 400
Why America Can't Retrench (And How it Might) 400
Another look at Archaeopteryx as the oldest bird 390
Literature and Art as Cognitive Objects 300
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 催化作用 遗传学 冶金 电极 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 4672696
求助须知:如何正确求助?哪些是违规求助? 4051536
关于积分的说明 12529143
捐赠科研通 3745172
什么是DOI,文献DOI怎么找? 2068332
邀请新用户注册赠送积分活动 1097707
科研通“疑难数据库(出版商)”最低求助积分说明 977807