JOURNAL ARTICLE
REVIEW
Add like
Add dislike
Add to saved papers

Cotton functional genomics reveals global insight into genome evolution and fiber development.

Due to the economic value of natural textile fiber, cotton has attracted much research attention, which has led to the publication of two diploid genomes and two tetraploid genomes. These big data facilitate functional genomic study in cotton, and allow researchers to investigate cotton genome structure, gene expression, and protein function on the global scale using high-throughput methods. In this review, we summarized recent studies of cotton genomes. Population genomic analyses revealed the domestication history of cultivated upland cotton and the roles of transposable elements in cotton genome evolution. Alternative splicing of cotton transcriptomes was evaluated genome-widely. Several important gene families like MYC, NAC, Sus and GhPLDα1 were systematically identified and classified based on genetic structure and biological function. High-throughput proteomics also unraveled the key functional proteins correlated with fiber development. Functional genomic studies have provided unprecedented insights into global-scale methods for cotton research.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app