Transcriptome analyses reveal genes and pathways associated with fatty acid composition traits in pigs
Transcriptome analyses reveal genes and pathways associated with fatty acid composition traits in pigs
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转录组分析揭示与猪脂肪酸组成特征相关的基因和途径
DOI：
10.1111/age.12597
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发表时间：
2017-10
期刊：
影响因子：
2.4
通讯作者：
Huang L
中科院分区：
文献类型：
--
作者：
Zhang J;Cui L;Ma J;Chen C;Yang B;Huang L
Fatty acid composition is associated with meat quality in pigs as well as with obesity- and diabetes-related traits in humans. Liver and muscle are important tissues for fatty acid metabolism. In this study, we evaluated correlations between liver and muscle transcriptomes and fatty acid composition traits in muscle and abdominal fat tissues in 335 F2 pigs from a White Duroc × Erhualian F2 pig resource population. Transcripts significantly correlated with fatty acid composition traits were enriched for genes involved in the categories of triglyceride catabolic process, mitochondrial function, hematological and immune system, and disease such as Type II diabetes. Gene co-expression network analysis further identified liver network modules relevant to fatty acid unsaturation index that were enriched in platelet activation and the type I interferon signaling pathway and highlighted the connections between variations in fatty acid composition and genes involved in hematological and immune system. Integrative analysis of the expression QTL identified ELOVL6 and SCD as plausible candidate genes underlying the loci for muscle C18:1n-9/C16:1n-7 values on chromosome 8 and the loci for muscle C18:1n-9/C18:0 contents on chromosome 14 respectively.
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影响因子：
3.7
作者：
Corominas J;Ramayo-Caldas Y;Puig-Oliveras A;Pérez-Montarelo D;Noguera JL;Folch JM;Ballester M
通讯作者：
Ballester M
影响因子：
20.3
作者：
SH Jr Goodnight;WS Harris;WE Connor
通讯作者：
SH Jr Goodnight;WS Harris;WE Connor
影响因子：
20.1
作者：
K. Kuba;C. Goulet;Y. Lemire;C. Allard
通讯作者：
K. Kuba;C. Goulet;Y. Lemire;C. Allard
五个不同猪群脂肪酸代谢特征的全基因组关联研究
影响因子：
4.6
作者：
Zhang W;Bin Yang;Zhang J;Cui L;Ma J;Chen C;Ai H;Xiao S;Ren J;Huang L
通讯作者：
Huang L
DOI：
10.1093/bioinformatics/btp101
发表时间：
2009-04-15
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Bindea G;Mlecnik B;Hackl H;Charoentong P;Tosolini M;Kirilovsky A;Fridman WH;Pagès F;Trajanoski Z;Galon J
通讯作者：
Galon J