Literature DB >> 33563208

Adaptive evolution driving the young duplications in six Rosaceae species.

Yan Zhong1, Xiaohui Zhang2, Qinglong Shi3, Zong-Ming Cheng4.   

Abstract

BACKGROUND: In plant genomes, high proportions of duplicate copies reveals that gene duplications play an important role in the evolutionary processes of plant species. A series of gene families under positive selection after recent duplication events in plant genomes indicated the evolution of duplicates driven by adaptive evolution. However, the genome-wide evolutionary features of young duplicate genes among closely related species are rarely reported.
RESULTS: In this study, we conducted a systematic survey of young duplicate genes at genome-wide levels among six Rosaceae species, whose whole-genome sequencing data were successively released in recent years. A total of 35,936 gene families were detected among the six species, in which 60.25% were generated by young duplications. The 21,650 young duplicate gene families could be divided into two expansion types based on their duplication patterns, species-specific and lineage-specific expansions. Our results showed the species-specific expansions advantaging over the lineage-specific expansions. In the two types of expansions, high-frequency duplicate domains exhibited functional preference in response to environmental stresses.
CONCLUSIONS: The functional preference of the young duplicate genes in both the expansion types showed that they were inclined to respond to abiotic or biotic stimuli. Moreover, young duplicate genes under positive selection in both species-specific and lineage-specific expansions suggested that they were generated to adapt to the environmental factors in Rosaceae species.

Entities:  

Keywords:  Adaptive evolution; Environmental stresses; Lineage-specific expansion; Rosaceae species; Species-specific expansion; Young duplication

Mesh:

Year:  2021        PMID: 33563208      PMCID: PMC7871599          DOI: 10.1186/s12864-021-07422-7

Source DB:  PubMed          Journal:  BMC Genomics        ISSN: 1471-2164            Impact factor:   3.969


  86 in total

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