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一种外生菌根真菌的特性及全基因组序列分析,其为退化土地复垦的潜在资源。

Characterization and genome-wide sequence analysis of an ectomycorrhizal fungus , a potential source for reclamation of degraded lands.

作者信息

Chot Eetika, Suravajhala Prashanth, Medicherla Krishna Mohan, Reddy Mondem Sudhakara

机构信息

Thapar Institute of Engineering and Technology, Bhadson Road, Patiala, Punjab 147004 India.

Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Amritapuri, Clappana P.O, Kollam, Kerala 690525 India.

出版信息

3 Biotech. 2023 Feb;13(2):58. doi: 10.1007/s13205-023-03483-5. Epub 2023 Jan 24.

DOI:10.1007/s13205-023-03483-5
PMID:36714549
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9873894/
Abstract

UNLABELLED

is a ubiquitous ectomycorrhizal fungus that establishes symbiosis with a wide range of woody plants around the globe. The symbiotic association of this fungus plays a crucial role in the nutrient cycling of their host plants and enables them to thrive in adverse environmental conditions. Based on its ecological importance and lack of genomic studies, whole-genome sequencing was carried out to analyze sequences through an Illumina HiSeq X system. The functional annotations were performed against various databases to explore genomic patterns and traits possibly attributing to its specialization. Comparative genomics of with phylogenetically related and (only available genomes of at NCBI till now) led to the identification of their unique and shared basic functional and stress adaptation capabilities. The de novo assembled genome of 56.15 Mb with 91.8% BUSCO completeness is predicted to encode 23,035 genes. The study is aimed to generate solid genomic data resources for , forming the theoretical basis for future transcriptomic, proteomic and metabolomic studies.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s13205-023-03483-5.

摘要

未标记

是一种普遍存在的外生菌根真菌,与全球范围内的多种木本植物建立共生关系。这种真菌的共生关联在其宿主植物的养分循环中起着关键作用,并使它们能够在不利的环境条件下茁壮成长。基于其生态重要性以及缺乏基因组研究,通过Illumina HiSeq X系统进行了全基因组测序以分析序列。针对各种数据库进行了功能注释,以探索可能归因于其特化的基因组模式和特征。对与系统发育相关的和(截至目前在NCBI上仅有的基因组)进行比较基因组学研究,从而确定了它们独特的和共有的基本功能以及应激适应能力。预测从头组装的56.15 Mb基因组,BUSCO完整性为91.8%,编码23,035个基因。该研究旨在为生成坚实的基因组数据资源,为未来的转录组学、蛋白质组学和代谢组学研究奠定理论基础。

补充信息

在线版本包含可在10.1007/s13205-023-03483-5获取的补充材料。