Common Gene Modules Identified for Chicken Adiposity by Network Construction and Comparison
Frontiers in Genetics, ISSN: 1664-8021, Vol: 11, Page: 537
2020
- 11Citations
- 11Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Excessive fat deposition can cause chicken health problem, and affect production efficiency by causing great economic losses to the industry. However, the molecular underpinnings of the complex adiposity trait remain elusive. In the current study, we constructed and compared the gene co-expression networks on four transcriptome profiling datasets, from two chicken lines under divergent selection for abdominal fat contents, in an attempt to dissect network compositions underlying adipose tissue growth and development. After functional enrichment analysis, nine network modules important to adipogenesis were discovered to be involved in lipid metabolism, PPAR and insulin signaling pathways, and contained hub genes related to adipogenesis, cell cycle, inflammation, and protein synthesis. Moreover, after additional functional annotation and network module comparisons, common sub-modules of similar functionality for chicken fat deposition were identified for different chicken lines, apart from modules specific to each chicken line. We further validated the lysosome pathway, and found TFEB and its downstream target genes showed similar expression patterns along with chicken preadipocyte differentiation. Our findings could provide novel insights into the genetic basis of complex adiposity traits, as well as human obesity and related metabolic diseases.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85086407056&origin=inward; http://dx.doi.org/10.3389/fgene.2020.00537; http://www.ncbi.nlm.nih.gov/pubmed/32547600; https://www.frontiersin.org/articles/10.3389/fgene.2020.00537/supplementary-material/10.3389/fgene.2020.00537.s002; http://dx.doi.org/10.3389/fgene.2020.00537.s002; https://www.frontiersin.org/articles/10.3389/fgene.2020.00537/supplementary-material/10.3389/fgene.2020.00537.s001; http://dx.doi.org/10.3389/fgene.2020.00537.s001; https://www.frontiersin.org/article/10.3389/fgene.2020.00537/full; https://dx.doi.org/10.3389/fgene.2020.00537.s002; https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2020.00537/full; https://dx.doi.org/10.3389/fgene.2020.00537.s001; https://dx.doi.org/10.3389/fgene.2020.00537
Frontiers Media SA
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know