Genome-wide comparative analysis of H3K4me3 profiles between diploid and allotetraploid cotton to refine genome annotation.
Genome-wide comparative analysis of H3K4me3 profiles between diploid and allotetraploid cotton to refine genome annotation.
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对二倍体和异源四倍体棉花之间的 H3K4me3 图谱进行全基因组比较分析,以完善基因组注释
DOI:
10.1038/s41598-017-09680-6
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发表时间:
2017-08-22
影响因子:
4.6
通讯作者:
Su Z
中科院分区:
文献类型:
--
作者:
You Q;Yi X;Zhang K;Wang C;Ma X;Zhang X;Xu W;Li F;Su Z
Polyploidy is a common evolutionary occurrence in plants. Recently, published genomes of allotetraploidG. hirsutumand its donorsG. arboreumandG. raimondiimake cotton an accessible polyploid model. This study used chromatin immunoprecipitation with high-throughput sequencing (ChIP-Seq) to investigate the genome-wide distribution of H3K4me3 inG. arboreumandG. hirsutum, and explore the conservation and variation of genome structures between diploid and allotetraploid cotton. Our results showed that H3K4me3 modifications were associated with active transcription in both cottons. The H3K4me3 histone markers appeared mainly in genic regions and were enriched around the transcription start sites (TSSs) of genes. We integrated the ChIP-seq data of H3K4me3 with RNA-seq and ESTs data to refine the genic structure annotation. There were 6,773 and 12,773 new transcripts discovered inG. arboreumandG. hirsutum, respectively. Furthermore, co-expression networks were linked with histone modification and modularized in an attempt to explain differential H3K4me3 enrichment correlated with changes in gene transcription during cotton development and evolution. Taken together, we have combined epigenomic and transcriptomic datasets to systematically discover functional genes and compare them betweenG. arboreumandG. hirsutum, which may be beneficial for studying diploid and allotetraploid plants with large genomes and complicated evolution.
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影响因子:
46.9
作者:
Trapnell C;Williams BA;Pertea G;Mortazavi A;Kwan G;van Baren MJ;Salzberg SL;Wold BJ;Pachter L
通讯作者:
Pachter L
影响因子:
12.3
作者:
Denoeud F;Aury JM;Da Silva C;Noel B;Rogier O;Delledonne M;Morgante M;Valle G;Wincker P;Scarpelli C;Jaillon O;Artiguenave F
通讯作者:
Artiguenave F
影响因子:
11.6
作者:
He, Guangming;Zhu, Xiaopeng;Deng, Xing-Wang
通讯作者:
Deng, Xing-Wang
影响因子:
46.9
作者:
Li, Fuguang;Fan, Guangyi;Yu, Shuxun
通讯作者:
Yu, Shuxun
影响因子:
27.5
作者:
Du, Zhou;Li, Hui;Su, Zhen
通讯作者:
Su, Zhen