A chromosome-level genome assembly of C. arabica revealed that protein-coding homeologs are predominantly co-regulated between subgenomes, and intergenic lncRNAs display a modest, but statistically consistent bias toward subgenome E across diverse developmental and stress contexts.
The PgUGT family is characterized by extensive ancestral copy retention accompanied by local copy-number changes and copy-specific regulatory divergence, providing a subgenome-resolved framework for understanding UGT family evolution in allotetraploid ginseng and prioritize candidate PgUGT genes for subsequent function...
Qi-Zhan Guo, Xin He, Ling-Ping Yang et al.· Genes· 0 citations
The quinoa GRF/GIF repertoire is defined, polyploid and miR396-regulatory context is added, and experimentally supported expression candidates are prioritized for future functional studies of development, regeneration, and stress responses.
Xu-Fang Jiang, Yuan-Yua Lan, Jun-Sheng He et al.· Notulae Botanicae Horti Agro...· 0 citations
Four positively selected genes, including NADH-quinone oxidoreductase and MT-A70, harbor population-specific amino acid substitutions that may contribute to differential adaptation, potentially optimizing photosynthetic metabolism, RNA epigenetic modification, and protein homeostasis.
Y. Pu, Li-Wen Wang, Yong-Chao Gong et al.· Frontiers in Plant Science· 0 citations
This study provides a candidate lncRNA resource and prioritizes lncRNA-associated gene pairs potentially related to life-cycle reversal in T. dohrnii as a candidate lncRNA resource.
A conserved bZIP framework shaped mainly by ancient duplication alongside variable genomic contexts and transcriptional responses is revealed, supporting predominant purifying selection.
New insights are provided into developmental transcriptional regulation, metabolic remodeling, and stage-specific specialization of molecular chaperone networks in H. armigera, establishing a foundation for future studies of stress adaptation, population genomic variation, and developmental mechanisms.
Cheng-Ren Ouyang, Wen-Qi Yang, Ying-Fen Yang et al.· Genomics· 0 citations
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