Journal of Biology ›› 2025, Vol. 42 ›› Issue (2): 59-.doi: 10.3969/j.issn.2095-1736.2025.02.059

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Identification of the FERONIA gene family in rubber trees and expression analysis in response to stress from Colletotrichum gloeosporioides

YUE Liujun, AN Bang   

  1. School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China
  • Online:2025-04-18 Published:2025-04-14

Abstract: To further study the function of FERONIA (HbFER) inHevea brasiliensis, the paper used bioinformatics methods to screen and identify 31HbFERfamily members from theH. brasiliensisgenome, and conducted detailed analysis of their physicochemical properties, gene sequences, domains, and chromosome location. The results showed that these 31 HbFERs were unevenly distributed on the nine chromosomes ofH. brasiliensis, encoding proteins ranging from 453 to 900 amino acids in size. Sequence analysis revealed that all HbFER proteins contained Malectin-like domains, and most of them also contained PKc-like domains. Through intra-species and inter-species collinearity analysis, it was found that there were three pairs of collinear genes forHbFERinH. brasiliensis, and the gene collinearity relationship betweenH. brasiliensisand rice was relatively significant, indicating that FER had undergone different evolutionary processes among different groups and species, and the gene functions have differentiated. Expression profile analysis revealed that the expression levels of most HbFERs inH. brasiliensisleaves decreased to varying degrees when infected withColletotrichum gloeosporioides, while the expression levels of individual genes increased. This indicated that different genes in theHbFERfamily ofH. brasiliensismight play differentiated roles in response to pathogen infection. In summary, our results provided a certain reference for further studying the role of HbFER in disease resistance inH. brasiliensis, and laid a foundation for molecular breeding ofH. brasiliensisfor disease.

Key words: Hevea brasiliensis, receptor-like kinase, FERONIA, expression patterns, bioinformatics

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