Characteristics of the Genome, Transcriptome and Ganoderic Acid of the Medicinal Fungus Ganoderma lingzhi.
Characteristics of the Genome, Transcriptome and Ganoderic Acid of the Medicinal Fungus Ganoderma lingzhi.
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药用真菌灵芝基因组、转录组及灵芝酸特征
DOI:
10.3390/jof8121257
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发表时间:
2022-11-28
期刊:
影响因子:
4.7
通讯作者:
Liu, Gaoqiang
中科院分区:
文献类型:
--
作者:
Wu, Qiang;Liu, Huan;Shi, Yixin;Li, Wanting;Huang, Jia;Xue, Feifei;Liu, Yongnan;Liu, Gaoqiang
Ganoderma (Ganodermaceae) is a genus of edible and medicinal mushrooms that create a diverse set of bioactive compounds. Ganoderma lingzhi has been famous in China for more than 2000 years for its medicinal properties. However, the genome information of G. lingzhi has not been characterized. Here, we characterized its 49.15-Mb genome, encoding 13,125 predicted genes which were sequenced by the Illumina and PacBio platform. A wide spectrum of carbohydrate-active enzymes, with a total number of 519 CAZymes were identified in G. lingzhi. Then, the genes involved in sexual recognition and ganoderic acid (GA, key bioactive metabolite) biosynthesis were characterized. In addition, we identified and deduced the possible structures of 20 main GA constituents by UPLC-ESI-MS/MS, including a new special ganochlearic acid A. Furthermore, 3996 novel transcripts were discovered, and 9276 genes were predicted to have the possibility of alternative splicing from RNA-Seq data. The alternative splicing genes were enriched for functional categories involved in protein processing, endocytosis, and metabolic activities by KEGG. These genomic, transcriptomic, and GA constituents’ resources would enrich the toolbox for biological, genetic, and secondary metabolic pathways studies in G. lingzhi.
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影响因子:
3.7
作者:
Huang YH;Wu HY;Wu KM;Liu TT;Liou RF;Tsai SF;Shiao MS;Ho LT;Tzean SS;Yang UC
通讯作者:
Yang UC
影响因子:
1.2
作者:
Cingolani, Pablo;Platts, Adrian;Ruden, Douglas M.
通讯作者:
Ruden, Douglas M.
影响因子:
2.8
作者:
Liu, Yong-Nan;Tong, Tian;Liu, Gao-Qiang
通讯作者:
Liu, Gao-Qiang
影响因子:
3.9
作者:
Peng, Xing-Rong;Wang, Xia;Qiu, Ming-Hua
通讯作者:
Qiu, Ming-Hua
影响因子:
48
作者:
Chin, Chen-Shan;Peluso, Paul;Schatz, Michael C.
通讯作者:
Schatz, Michael C.