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高通量测序揭示了塔里木河下游不同生长阶段胡杨根际土壤真菌群落组成和多样性。

High-throughput sequencing reveals rhizosphere fungal community composition and diversity at different growth stages of in the lower reaches of the Tarim River.

机构信息

Shihezi University, Shihezi, Xinjiang Uygur Autonomous Region, China.

出版信息

PeerJ. 2022 Jun 2;10:e13552. doi: 10.7717/peerj.13552. eCollection 2022.

DOI:10.7717/peerj.13552
PMID:35673389
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9167583/
Abstract

BACKGROUND

is one of the most ancient and primitive tree species of and plays an important role in maintaining the ecological balance in desert areas. To decipher the diversity, community structure, and relationship between rhizosphere fungi and environmental factors at different growth stages of demands an in-depth investigation.

METHODS

In this study, at different growth stages (young, medium, overripe, and decline periods) was selected as the research object, based on the determination of the physicochemical properties of its rhizosphere soil, the fungal community structure and diversity of and their correlation with soil physicochemical properties were comprehensively analyzed through high-throughput sequencing technology (internal transcribed spacer (ITS)) and bioinformatics analysis methods.

RESULTS

According to the analysis of OTU annotation results, the rhizosphere soil fungal communities identified in were categorized into10 phyla, 36 classes, 77 orders, 165 families, 275 genera and 353 species. The alpha diversity analysis showed that there was no obvious change between the different growth stages, while beta diversity analysis showed that there were significantly differences in the composition of rhizosphere soil fungal communities between mature and overripe trees ( = 0.31, = 0.001), mature and deadwood ( = 0.28, = 0.001). Ascomycota and Basidiomycota were dominant phyla in the rhizosphere fungal community and the dominant genera were and The relative abundance of the top ten fungi at each classification level differed greatly in different stages. Canonical correspondence analysis (CCA) and Spearman's correlation analysis showed that conductivity (EC) was the main soil factor affecting the composition of rhizosphere soil fungal community ( < 0.01), followed by total dissolvable salts (TDS) and available potassium (AK) ( < 0.05).

CONCLUSIONS

Our data revealed that the rhizosphere fungal communities at the different growth stages of have differences, conductivity (EC) was the key factor driving rhizosphere fungi diversity and community structure, followed by total dissolvable salts (TDS) and available potassium (AK).

摘要

背景

是杨柳科中最古老、最原始的树种之一,在维持荒漠地区生态平衡方面发挥着重要作用。为了解柳树不同生长阶段根际真菌的多样性、群落结构及其与环境因子的关系,需要进行深入研究。

方法

本研究以不同生长阶段(幼龄期、中龄期、过熟期和衰退期)的柳树为研究对象,在测定其根际土壤理化性质的基础上,采用高通量测序技术(ITS)和生物信息学分析方法,综合分析了柳树根际真菌的群落结构和多样性及其与土壤理化性质的相关性。

结果

根据 OTU 注释结果分析,鉴定出柳树根际土壤真菌群落隶属于 10 个门、36 个纲、77 个目、165 个科、275 个属和 353 个种。α多样性分析表明,不同生长阶段根际土壤真菌群落无明显变化,β多样性分析表明,成熟树与过熟树( = 0.31, = 0.001)、成熟树与枯树( = 0.28, = 0.001)之间的根际土壤真菌群落组成存在显著差异。子囊菌门和担子菌门是根际真菌群落的优势门,优势属为 和 。不同分类水平的前 10 位真菌相对丰度在不同阶段差异较大。典范对应分析(CCA)和 Spearman 相关性分析表明,电导率(EC)是影响柳树根际土壤真菌群落组成的主要土壤因子( < 0.01),其次是总可溶盐(TDS)和有效钾(AK)( < 0.05)。

结论

本研究数据表明,柳树不同生长阶段的根际真菌群落存在差异,电导率(EC)是驱动根际真菌多样性和群落结构的关键因素,其次是总可溶盐(TDS)和有效钾(AK)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/142e/9167583/93e5b6ce5aef/peerj-10-13552-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/142e/9167583/3f9be4288a28/peerj-10-13552-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/142e/9167583/999daa0d9f29/peerj-10-13552-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/142e/9167583/920e86916cf0/peerj-10-13552-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/142e/9167583/b499f37cbcd3/peerj-10-13552-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/142e/9167583/93e5b6ce5aef/peerj-10-13552-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/142e/9167583/3f9be4288a28/peerj-10-13552-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/142e/9167583/999daa0d9f29/peerj-10-13552-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/142e/9167583/920e86916cf0/peerj-10-13552-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/142e/9167583/b499f37cbcd3/peerj-10-13552-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/142e/9167583/93e5b6ce5aef/peerj-10-13552-g005.jpg

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