形态发生
蘑菇
真菌
生物
细胞生物学
仿形(计算机编程)
遗传学
植物
基因
计算机科学
操作系统
作者
Botond Hegedüs,Neha Sahu,Balázs Bálint,Sajeet Haridas,Viktória Bense,Zsolt Merényi,Máté Virágh,Hongli Wu,Xiaobin Liu,Robert Riley,Anna Lipzen,Maxim Koriabine,Emily Savage,Jie Guo,Kerrie Barry,Vivian Ng,Péter Urbán,Attila Gyenesei,Michael Freitag,Igor V. Grigoriev
出处
期刊:Cell genomics
[Elsevier BV]
日期:2025-04-01
卷期号:: 100853-100853
被引量:1
标识
DOI:10.1016/j.xgen.2025.100853
摘要
Mushroom-forming fungi (Agaricomycetes) are emerging as pivotal players in several fields of science and industry. Genomic data for Agaricomycetes are accumulating rapidly; however, this is not paralleled by improvements of gene annotations, which leave gene function notoriously poorly understood. We set out to improve our functional understanding of the model mushroom Coprinopsis cinerea by integrating a new, chromosome-level assembly, high-quality gene predictions, and functional information derived from broad gene-expression profiling data. The new annotation includes 5' and 3' untranslated regions (UTRs), polyadenylation sites (PASs), upstream open reading frames (uORFs), splicing isoforms, and microexons, as well as core gene sets corresponding to carbon starvation, light response, and hyphal differentiation. As a result, the genome of C. cinerea has now become the most comprehensively annotated genome among mushroom-forming fungi, which will contribute to multiple rapidly expanding fields, including research on their life history, light and stress responses, as well as multicellular development.
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