Jingshan Yang, Jinming Chen, Xiangyan He, Guangxi Wang, Spencer C H Barrett, Zhizhong Li
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引用次数: 0
Abstract
Heteranthery, the occurrence of functionally and structurally distinct stamens within a flower, represents a striking example of convergent evolution among diverse animal-pollinated lineages. Although the ecological basis of this somatic polymorphism is understood, the developmental and molecular mechanisms are largely unknown. To address this knowledge gap, we selected Monochoria elata (Pontederiaceae) as our study system due to its typical heterantherous floral structure. We constructed a chromosome-level genome assembly of M. elata, conducted transcriptomic analyses and target phytohormone metabolome analysis to explore gene networks and hormones associated with heteranthery. We focused on three key stamen characteristics-colour, spatial patterning, and filament elongation-selected for their significant roles in stamen differentiation and their relevance to the functional diversity observed in heterantherous species. Our analyses suggest that gene networks involving MelLEAFY3, MADS-box, and TCP genes regulate stamen identity, with anthocyanin influencing colour, and lignin contributing to filament elongation. Additionally, variation in jasmonic acid and abscisic acid concentration between feeding and pollinating anthers appears to contribute to their morphological divergence. Our findings highlight gene networks and hormones associated with intra-floral stamen differentiation and indicate that whole genome duplications have likely facilitated the evolution of heternathery during divergence from other Pontederiaceae without heteranthery.
期刊介绍:
The Journal of Genetics and Genomics (JGG, formerly known as Acta Genetica Sinica ) is an international journal publishing peer-reviewed articles of novel and significant discoveries in the fields of genetics and genomics. Topics of particular interest include but are not limited to molecular genetics, developmental genetics, cytogenetics, epigenetics, medical genetics, population and evolutionary genetics, genomics and functional genomics as well as bioinformatics and computational biology.