Next Generation Sequencing genomic analysis of bacteria from soils of the sites with naturally-occurring summer truffle (Tuber aestivum Vittad.)

IF 1.7 3区 农林科学 Q2 FORESTRY
Marta Siebyła, D. Hilszczańska
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引用次数: 2

Abstract

The rhizosphere is the region of soil in which the highest densities of fungi and bacteria occur. In this study, an attempt was made to assess the distribution of bacterial species in soil where the summer truffle Tuber aestivum Vittad. bears fruit in selected stands in Poland. In order to determine the bacterial metagenome, the Next Generation Sequencing (NGS) method was applied. Differences occurred in the bacterial species composition at the cluster level between soils in which summer truffle fruiting was recorded and control soils. In particular, differences in the percentage of Firmicutes bacteria were noted with an average frequency of 3.9% in truffle soil compared to 96.1% in the control soil. It was estimated that two bacterial species, namely Lysobacter antibioticus and Ensifer adhaerens had a positive effect on the occurrence of T. aestivum. Our research increased the knowledge of particular groups of bacteria accompanying truffles and their potential impact on the formation of fruiting bodies in T. aestivum.
天然夏季松露(Tuber aestivum Vittad)产地土壤细菌的下一代测序基因组分析
根际是真菌和细菌密度最高的土壤区域。在本研究中,试图评估夏季块菌Tuber aestivum Vittad生长的土壤中细菌种类的分布。在波兰的选定林分中结出果实。为了确定细菌宏基因组,应用了下一代测序(NGS)方法。记录夏季松露结果的土壤和对照土壤在集群水平上的细菌种类组成存在差异。特别是,厚壁菌门细菌的百分比存在差异,松露土壤中的平均频率为3.9%,而对照土壤中的频率为96.1%。据估计,两种细菌,即Lysobacter antibioticus和Ensifer adhaerens对T.aestivum的发生有积极影响。我们的研究增加了对松露附带的特定细菌群及其对夏枯草子实体形成的潜在影响的了解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.20
自引率
11.10%
发文量
11
审稿时长
12 weeks
期刊介绍: Annals of Forest Research is a semestrial open access journal, which publishes research articles, research notes and critical review papers, exclusively in English, on topics dealing with forestry and environmental sciences. The journal promotes high scientific level articles, by following international editorial conventions and by applying a peer-review selection process.
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