PlantPan: A comprehensive multi‐species plant pan‐genome database

基因组 计算生物学 生物 数据库 计算机科学 遗传学 基因
作者
Meiye Jiang,Qiheng Qian,Mingming Lu,Meili Chen,Zhuojing Fan,Yunfei Shang,Congfan Bu,Zheng-Lin Du,Shuhui Song,Jingyao Zeng,Jingfa Xiao
出处
期刊:Plant Journal [Wiley]
卷期号:122 (1): e70144-e70144 被引量:5
标识
DOI:10.1111/tpj.70144
摘要

The pan-genome represents the complete genomic diversity of specific species, serving as a valuable resource for studying species evolution, crop domestication, and guiding crop breeding and improvement. While there are several single-species-specific plant pan-genome databases, the availability of multi-species pan-genome databases is limited. Additionally, variations in methods and data types used for plant pan-genome analysis across different databases hinder the comparison and integration of pan-genome information from various projects at multi-species or single-species levels. To tackle this challenge, we introduce PlantPan, a comprehensive database housing the results of pan-genome analysis for 195 genomes from 11 plant species. PlantPan aims to provide extensive information, including gene-centric and sequence-centric pan-genome information, graph-based pan-genome, pan-genome openness profiles, gene functions and its variation characteristics, homologous genes, and gene clusters across different species. Statistically, PlantPan incorporates 9 163 011 genes, 694 191 gene clusters, 526 973 370 genome variations, and 1 616 089 non-redundant genome variation groups at the species level, 33 455,098 genome synteny, and 177 827 non-redundant genome synteny groups at the species level. Regarding functional genes, PlantPan contains 5 222 720 genes related to transcription factors, 395 247 literature-reported resistance genes, 455 748 predicted microbial/disease resistance genes, and 1 612 112 genes related to molecular pathways. In summary, PlantPan is a vital platform for advancing the application of pan-genomes in molecular breeding for crops and evolutionary research for plants.
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
james完成签到,获得积分10
1秒前
无心的柠檬完成签到,获得积分10
1秒前
共享精神应助要减肥的鱼采纳,获得10
1秒前
D哈哈发布了新的文献求助30
2秒前
闪闪电源完成签到,获得积分10
2秒前
3秒前
3秒前
在水一方应助默默采纳,获得10
6秒前
回忆完成签到 ,获得积分10
6秒前
chen完成签到 ,获得积分10
6秒前
stone完成签到,获得积分10
7秒前
天天快乐应助梅子黄时雨采纳,获得10
8秒前
8秒前
9秒前
12秒前
西米完成签到,获得积分10
13秒前
13秒前
14秒前
14秒前
Kototo完成签到,获得积分10
15秒前
wanci应助还单身的藏花采纳,获得10
16秒前
17秒前
18秒前
葛根发布了新的文献求助30
18秒前
吴吴发布了新的文献求助20
18秒前
李爱国应助cherish采纳,获得10
19秒前
21秒前
21秒前
上官若男应助james采纳,获得10
22秒前
顾矜应助sadsada采纳,获得30
23秒前
我爱科研发布了新的文献求助10
23秒前
默默完成签到,获得积分10
23秒前
24秒前
24秒前
25秒前
秋风举报舒心的硬币求助涉嫌违规
25秒前
25秒前
自由完成签到,获得积分10
26秒前
上官若男应助梅子黄时雨采纳,获得10
27秒前
28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
Encyclopedia of Cardiovascular Research and Medicine(2e) 820
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7781791
求助须知:如何正确求助?哪些是违规求助? 9321417
关于积分的说明 20382975
捐赠科研通 7369678
什么是DOI,文献DOI怎么找? 3320126
关于科研通互助平台的介绍 2467955
邀请新用户注册赠送积分活动 2336049