Identification of the Gossypium hirsutum SDG Gene Family and Functional Study of GhSDG59 in Response to Drought Stress

Z Wang, W Fu, X Zhang, Y Liusui, G Saimi, H Zhao… - Plants, 2024 - mdpi.com
SET-domain group histone methyltransferases (SDGs) are known to play crucial roles in
plant responses to abiotic stress. However, their specific function in cotton's response to …

[HTML][HTML] Genome-Wide Identification and Expression Analysis of RLCK-VII Subfamily Genes Reveal Their Roles in Stress Responses of Upland Cotton

Y Cen, S Geng, L Gao, X Wang, X Yan, Y Hou, P Wang - Plants, 2023 - mdpi.com
Receptor-like cytoplasmic kinase VII (RLCK-VII) subfamily members are vital players in plant
innate immunity and are also involved in plant development and abiotic stress tolerance. As …

[HTML][HTML] Quantitative Trait Loci Mapping and Candidate Gene Analysis for Fiber Quality Traits in Upland Cotton

X Jia, H Zhao, J Zhu, S Wang, M Li, G Wang - Agronomy, 2024 - mdpi.com
Superior fiber quality is one of the most important objectives in cotton breeding. To detect the
genetic basis underlying fiber quality, an F2 population containing 413 plants was …

[HTML][HTML] Plant genomic resources at National Genomics Data Center: assisting in data-driven breeding applications

D Tian, T Xu, H Kang, H Luo, Y Wang, M Chen, R Li… - Abiotech, 2024 - Springer
Genomic data serve as an invaluable resource for unraveling the intricacies of the higher
plant systems, including the constituent elements within and among species. Through …

[HTML][HTML] Genomic Analysis of Brassinosteroid Biosynthesis Gene Family Reveals Its Roles in Cotton Development across Gossypium Species

S Cui, X Zhou, G Xiao, H Feng - Biology, 2024 - mdpi.com
Simple Summary Our study systematically investigated the brassinosteroid synthesis
enzyme family in four different species of cotton: Gossypium hirsutum, Gossypium …

[HTML][HTML] Comparative analysis of tissue-specific genes in maize based on machine learning models: CNN performs technically best, LightGBM performs biologically …

Z Wang, Y Zhu, Z Liu, H Li, X Tang, Y Jiang - Frontiers in Genetics, 2023 - frontiersin.org
Introduction: With the advancement of RNA-seq technology and machine learning, training
large-scale RNA-seq data from databases with machine learning models can generally …