Cotton Molecular Genomics and Genetics (Third Edition)
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Plant Sciences".
Deadline for manuscript submissions: 30 May 2025 | Viewed by 56
Special Issue Editor
Interests: cotton genetics; genomics; molecular breeding; genetic improvement
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Cotton (Gossypium spp.) is not only the most important fiber crop for the global textile industry, but it also serves as a model system to study plant cell growth and development because a cotton fiber cell is the longest currently known cell in the plant kingdom. During the past few decades, cotton researchers have devoted tremendous efforts to developing molecular, genetic, and genomic tools that are being used to better understand the biology of cotton plants. High-quality genome assemblies have been published. New technologies, such as CRISPR gene editing, are being exploited for varietal improvement. With many accomplishments achieved and more exciting developments on the horizon, a Special Issue on “Cotton Molecular Genomics and Genetics” is warranted.
Papers submitted to this Special Issue must report novel results in the areas of molecular genetics and genomics of cotton. More specifically, this Special Issue will cover a selection of original research and review articles focusing on gene identification and functionality analysis, genomic prediction and selection, trait QTL analysis, application of omics and gene-editing tools to the enhancement of cotton breeding, and new methods/strategies to conduct genetic and genomic research. In addition, databases related to the subject of interest are also welcome.
Prof. Dr. Jie Sun
Guest Editor
Manuscript Submission Information
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Keywords
- cotton
- biotic or abiotic stress
- disease resistance
- fiber yield and quality
- gene editing
- gene identification and function validation
- genome-wide association study
- QTL identification
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