Data mining of transcriptional biomarkers at different cotton fiber developmental stages View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2022-07-05

AUTHORS

Priti Prasad, Uzma Khatoon, Rishi Kumar Verma, Samir V Sawant, Sumit K Bag

ABSTRACT

Advancement of the gene expression study provides comprehensive information on pivotal genes at different cotton fiber development stages. For the betterment of cotton fiber yield and their quality, genetic improvement is a major target point for the cotton community. Therefore, various studies were carried out to understand the transcriptional machinery of fiber leading to the detailed integrative as well as innovative study. Through data mining and statistical approaches, we identified and validated the transcriptional biomarkers for staged specific differentiation of fiber. With the unique mapping read matrix of ~ 200 cotton transcriptome data and sequential statistical analysis, we identified several important genes that have a deciding and specific role in fiber cell commitment, initiation and elongation, or secondary cell wall synthesis stage. Based on the importance score and validation analysis, IQ domain 26, Aquaporin, Gibberellin regulated protein, methionine gamma lyase, alpha/beta hydrolases, and HAD-like superfamily have shown the specific and determining role for fiber developmental stages. These genes are represented as transcriptional biomarkers that provide a base for molecular characterization for cotton fiber development which will ultimately determine the high yield. More... »

PAGES

1-14

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10142-022-00878-0

DOI

http://dx.doi.org/10.1007/s10142-022-00878-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1149240858

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/35788822


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197 Molecular Biology and Biotechnology Division, CSIR-National Botanical Research Institute, Rana Pratap Marg, 226001, Lucknow, India
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