An insight into the gene expression evolution in Gossypium species based on the leaf transcriptomes.
BMC Genomics
; 25(1): 179, 2024 Feb 14.
Article
in En
| MEDLINE
| ID: mdl-38355396
ABSTRACT
BACKGROUND:
Gene expression pattern is associated with biological phenotype and is widely used in exploring gene functions. Its evolution is also crucial in understanding species speciation and divergence. The genus Gossypium is a bona fide model for studying plant evolution and polyploidization. However, the evolution of gene expression during cotton species divergence has yet to be extensively discussed.RESULTS:
Based on the seedling leaf transcriptomes, this work analyzed the transcriptomic content and expression patterns across eight cotton species, including six diploids and two natural tetraploids. Our findings indicate that, while the biological function of these cotton transcriptomes remains largely conserved, there has been significant variation in transcriptomic content during species divergence. Furthermore, we conducted a comprehensive analysis of expression distances across cotton species. This analysis lends further support to the use of G. arboreum as a substitute for the A-genome donor of natural cotton polyploids. Moreover, our research highlights the evolution of stress-responsive pathways, including hormone signaling, fatty acid degradation, and flavonoid biosynthesis. These processes appear to have evolved under lower selection pressures, presumably reflecting their critical role in the adaptations of the studied cotton species to diverse environments.CONCLUSIONS:
In summary, this study provided insights into the gene expression variation within the genus Gossypium and identified essential genes/pathways whose expression evolution was closely associated with the evolution of cotton species. Furthermore, the method of characterizing genes and pathways under unexpected high or slow selection pressure can also serve as a new strategy for gene function exploration.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Gossypium
/
Transcriptome
Type of study:
Prognostic_studies
Language:
En
Journal:
BMC Genomics
Journal subject:
GENETICA
Year:
2024
Document type:
Article
Affiliation country:
China
Country of publication:
United kingdom