Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Community distribution of rhizosphere and endophytic bacteria of ephemeral plants in desert‐oasis ecotone and analysis of environmental driving factors

Bibliographic Data

ID21648988
AuthorsMengwen Peng (0000-0002-5043-7302, College of Life Sciences Shihezi University Shihezi PR China), Hao He (0000-0002-6823-9603, College of Agriculture Shihezi University Shihezi PR China), Zhongke Wang (0000-0003-2024-5841, College of Life Sciences Shihezi University Shihezi PR China), Guifang Li (0000-0003-4154-4621, College of Life Sciences Shihezi University Shihezi PR China), Xinhua Lv (College of Life Sciences Shihezi University Shihezi PR China), Xiaozhen Pu (0000-0002-7503-7444, College of Life Sciences Shihezi University Shihezi PR China), Zhuang Li (0000-0002-2500-9074, Shihezi University), Li Zhuang (0000-0001-9056-7681, College of Life Sciences Shihezi University Shihezi PR China)
Year2023
Volume34
Issue4
Pages1182-1196
Publication date2023-02-28
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLand Degradation and Development (JOURNAL)
Journal identifiersISSN: 1085-3278 • E-ISSN: 1099-145X
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ldr.4525
OpenAlexW4308424430
LanguageEN
References cited71

Ephemeral plants are important part of the vegetation maintaining Gurbantünggüt Desert‐oasis ecotone stability. Studying the response characteristics of root‐associated bacteria of ephemeral plants to soil habitats is of great significance for understanding the adaptability of plants and maintaining ecotone stability. In this study, physicochemical analysis and 16 S sequencing technology were used to analyse the diversity, structure, function, and driving factors of rhizosphere and root‐endophytic bacteria of ephemeral plants in aeolian soil and grey desert soil. The results showed differences in the rhizosphere soil properties and root nutrient content between the two habitat soils. The Shannon index of the rhizosphere bacteria in the grey desert soil was higher than that in the aeolian soil, whereas the Shannon and ACE indices of the endophytic bacteria were lower than those in the aeolian soil. Soil type caused evident changes in the relative abundance and community structure of the rhizosphere and endophytic bacteria. PICRUSt function prediction showed that energy metabolism, carbohydrate metabolism, amino acid metabolism, replication and repair, and membrane transport were the main functional categories of rhizosphere and endophytic bacteria in the two soils. The rhizosphere and endophytic bacteria of ephemeral plants were closely related to soil factors. Soil water content, electrical conductivity (EC), total phosphorus, total potassium, and nitrogen/phosphorus ratio were the key factors affecting the rhizosphere bacterial community structure and function. The key factors affecting the root‐endophytic bacterial community structure and function were the pH, EC, total phosphorus, ammonium nitrogen, available potassium, carbon/phosphorus ratio, and root phosphorus. This study revealed the community structure, functions and driving factors of root‐associated bacteria in ephemeral plants grown in different soils. These findings have significance for future studies on the bacterial metabolic function of ephemeral plants and provide references for vegetation protection and restoration in different soils of the ecotone

Agronomy · Bacteria · Biology · Botany · Bulk soil · Rhizosphere · Environmental Science · Legume Nitrogen Fixing Symbiosis · Plant-Microbe Interactions and Immunity · Soil Carbon and Nitrogen Dynamics

  • Microbial diversity drives multifunctionality in terrestrial ecosystems

    Open Access•Manuel Delgado‐Baquerizo, Fernando T Maestre et al.•Nature Communications•2016

  • Flash

    Open Access•Tanja Magoč, Steven L Salzberg•Bioinformatics•2011

  • Metagenomic biomarker discovery and explanation

    Open Access•Nicola Segata, Jacques Izard et al.•Genome Biology•2011

  • Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences

    Open Access•Morgan G I Langille, Jesse Zaneveld et al.•Nature Biotechnology•2013

  • Qiime allows analysis of high-throughput community sequencing data

    Open Access•J Gregory Caporaso, Justin Kuczynski et al.•Nature Methods•2010

  • Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy

    Open Access•Qiong Wang, Wang Qiong et al.•Applied and Environmental…•2007

  • The Silva ribosomal RNA gene database project

    Open Access•Christian Quast, Elmar Pruesse et al.•Nucleic Acids Research•2012

  • Soil bacterial community succession during desertification in a desert steppe ecosystem

    Open Access•Miaochun Fan, Jiajia Li et al.•Land Degradation and Development•2020

Citation velocityhistorical
Highly citedNo

Tools

Open DOI
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae