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Prediction and Bioinformatics Analysis of G Protein-Coupled Receptors in Penicillium expansum
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Cong SONG1, Wen-ming SONG1, 3, Yang SUN1, 3, Zhen-hua JIA1, Shui-shan SONG1, *, Jun-feng GUAN2, *
Journal of Microbiology | 2026, 46(2) : 58 - 68
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Journal of Microbiology | 2026, 46(2): 58-68
Prediction and Bioinformatics Analysis of G Protein-Coupled Receptors in Penicillium expansum
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Cong SONG1, Wen-ming SONG1, 3, Yang SUN1, 3, Zhen-hua JIA1, Shui-shan SONG1, *, Jun-feng GUAN2, *
Affiliations
  • 1.Institute of Biology, Hebei Academy of Sciences, Shijiazhuang 050081
  • 2.Institute of Biotechnology and Food Science, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang 050051
  • 3.Hebei Minzu Normal University, Chengde 067000
Published: 2026-04-20 doi: 10.3969/j.issn.1005-7021.2026.02.006
Outline
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G protein-coupled receptors (GPCRs) in pathogenic fungi have become one of the critical targets for controlling pathogenic disease. In this study, 36 candidate GPCRs were identified from Penicillium expansum by bioinformatics approaches including three transmembrane prediction tools (DeepTMHMM, Phobius, and TOPCONS) and four GPCR prediction platforms (GPCRHMM, GPCRPipe, GPCR-Pen, and GPCRPred). The topological structure analysis, subcellular localization, and functional annotation demonstrated the reliability of the prediction strategy. Phylogenetic classification revealed that these candidate GPCRs were distributed across six distinct fungal GPCR classes, which are characterized by conserved domains such as fungal rhodopsin-like receptor families, pheromone mating factor STE2, pheromone A receptor STE3, and RTA1-like proteins. Physicochemical property analysis demonstrated that the candidate GPCRs predominantly exhibit neutral or alkaline proteins, with 44.44% classified as unstable proteins and 97.22% showing hydrophobic properties. These findings provide a critical theoretical foundation for elucidating the biological functions, signaling mechanisms, and pathogenic roles of GPCRs in P.expansum, and also highlighting potential targets for the development of novel antifungal molecules.

G protein-coupled receptors (GPCRs)  /  Penicillium expansum  /  bioinformatics  /  transmembrane prediction software  /  conserved domain
宋聪, 宋文明, 孙阳, 贾振华, 宋水山, 关军锋. 扩展青霉G蛋白偶联受体预测及生物信息学分析. 微生物学杂志, 2026 , 46 (2) : 58 -68 . DOI: 10.3969/j.issn.1005-7021.2026.02.006
Cong SONG, Wen-ming SONG, Yang SUN, Zhen-hua JIA, Shui-shan SONG, Jun-feng GUAN. Prediction and Bioinformatics Analysis of G Protein-Coupled Receptors in Penicillium expansum[J]. Journal of Microbiology, 2026 , 46 (2) : 58 -68 . DOI: 10.3969/j.issn.1005-7021.2026.02.006
Year 2026 volume 46 Issue 2
95
14
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Article Info
doi: 10.3969/j.issn.1005-7021.2026.02.006
  • Receive Date:2025-12-03
  • Online Date:2026-10-10
  • Published:2026-04-20
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  • Received:2025-12-03
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Affiliations
    1.Institute of Biology, Hebei Academy of Sciences, Shijiazhuang 050081
    2.Institute of Biotechnology and Food Science, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang 050051
    3.Hebei Minzu Normal University, Chengde 067000
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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