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海绵状煤炱的基因组组装和比较基因组学为依赖蜜露的煤炱真菌的生态适应性提供了见解。

Genome assembly of Scorias spongiosa and comparative genomics provide insights into ecological adaptation of honeydew-dependent sooty mould fungi.

作者信息

Zhang Hui, Ye Longqin, Liu Qian, Huang Xiaolei

机构信息

State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, College of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou 350002, China.

State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, College of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou 350002, China.

出版信息

Genomics. 2021 Jul;113(4):2189-2198. doi: 10.1016/j.ygeno.2021.05.020. Epub 2021 May 19.

Abstract

Sooty moulds are fungi of economic importance and with unique lifestyle mainly growing on insect honeydew. However, the lack of genomic data hinders investigation of genetic mechanisms underlying their ecological adaptation. With long-read sequencing technology, we generated the genome of Scorias spongiosa, an extraordinary sooty mould fungus associated with honeydew of colony aphids and producing large fruiting bodies. A 24.21 Mb high-quality genome assembly with a N50 length of 3.37 Mb was obtained. The genome contained 7758 protein coding genes, 97.13% of which were homologous to known genes, and approximately 0.29 Mb repeat sequences. Comparative genomics showed S. spongiosa lost relatively more gene families and contained fewer species-specific genes and gene families, with many CAZyme families and sugar transporters reduced or absent. This study not only promotes understanding of the ecological adaptation of sooty moulds, but also provides valuable genomic data resource for future comparative genomic and genetic studies.

摘要

煤炱菌是具有经济重要性的真菌,具有独特的生活方式,主要生长在昆虫蜜露上。然而,基因组数据的缺乏阻碍了对其生态适应潜在遗传机制的研究。利用长读长测序技术,我们获得了海绵状煤炱菌(Scorias spongiosa)的基因组,这是一种与蚜虫蜜露相关且能产生大型子实体的非凡煤炱菌。获得了一个24.21 Mb的高质量基因组组装,N50长度为3.37 Mb。该基因组包含7758个蛋白质编码基因,其中97.13%与已知基因同源,还有约0.29 Mb的重复序列。比较基因组学表明,海绵状煤炱菌丢失了相对较多的基因家族,包含较少的物种特异性基因和基因家族,许多碳水化合物活性酶家族和糖转运蛋白减少或缺失。本研究不仅促进了对煤炱菌生态适应的理解,也为未来的比较基因组和遗传研究提供了有价值的基因组数据资源。

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