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      A Comparative Analysis on the Structure and Function of the Panax notoginseng Rhizosphere Microbiome

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          Abstract

          Panax notoginseng, an important Chinese medicinal herb, can be mainly cultivated in two planting patterns, cropland planting (DT) and understory planting (LX). We speculate that the rhizosphere microbiome may vary in DT and LX and may play an important role in promoting the growth and health of P. notoginseng. In the present study, culture-independent Illumina HiSeq was employed to investigate the rhizosphere bacteria and fungi under DT and LX planting patterns. Predominant phyla include Proteobacteria, Acidobacteria, Actinobacteria, Gemmatimonadetes, and Ascomycota in the two planting patterns. DT has higher alpha diversity index than LX. The predominant LX-core genera include Bradyrhizobium, Streptomyces, and Actinomadura, and the predominant DT-core genera include Sphingomonas, Variovorax, and Novosphingobium. Total relative abundance of the disease-suppression phylum ( Proteobacteria, Firmicutes, and Actinobacteria) and the potential plant growth-promoting rhizobacteria (PGPR) were both significantly higher in LX than in DT. We also identified over-presented microbial functional traits mediating plant–microbe and microbe–microbe interactions, nutrition acquisition, and plant growth promotion in P. notoginseng rhizosphere. Our findings provide a valuable reference for studying beneficial microbes and pathogens of P. notoginseng planted in DT and LX.

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          Most cited references58

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          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
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            Fast gapped-read alignment with Bowtie 2.

            As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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              Fast and sensitive protein alignment using DIAMOND.

              The alignment of sequencing reads against a protein reference database is a major computational bottleneck in metagenomics and data-intensive evolutionary projects. Although recent tools offer improved performance over the gold standard BLASTX, they exhibit only a modest speedup or low sensitivity. We introduce DIAMOND, an open-source algorithm based on double indexing that is 20,000 times faster than BLASTX on short reads and has a similar degree of sensitivity.
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                Author and article information

                Contributors
                Journal
                Front Microbiol
                Front Microbiol
                Front. Microbiol.
                Frontiers in Microbiology
                Frontiers Media S.A.
                1664-302X
                09 June 2021
                2021
                : 12
                : 673512
                Affiliations
                [1] 1School of Pharmacy, Jiangsu University , Zhenjiang, China
                [2] 2College of Food Science and Technology, Yunnan Agricultural University , Kunming, China
                [3] 3International Genome Center, Jiangsu University , Zhenjiang, China
                [4] 4Department of Plant Protection, College of Agriculture, Razi University , Kermanshah, Iran
                [5] 5College of Biological Big Data, Yunnan Agricultural University , Kunming, China
                [6] 6Guangxi Key Laboratory of Medicinal Resources Protection and Genetic Improvement, Guangxi Botanical Garden of Medicinal Plants , Nanning, China
                [7] 7State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University , Kunming, China
                [8] 8School of Pharmacy, Guangxi Medical University , Nanning, China
                Author notes

                Edited by: David W. Ussery, University of Arkansas for Medical Sciences, United States

                Reviewed by: Ajar Nath Yadav, Eternal University, India; Manoj Kumar Solanki, University of Silesia in Katowice, Poland

                *Correspondence: Zhanjiang Zhang, zzj1811@ 123456163.com

                These authors have contributed equally to this work and share first authorship

                This article was submitted to Evolutionary and Genomic Microbiology, a section of the journal Frontiers in Microbiology

                Article
                10.3389/fmicb.2021.673512
                8219928
                34177857
                657911d5-50db-48e7-b8ab-2345151b8bf5
                Copyright © 2021 Kui, Chen, Chen, Sharifi, Dong, Zhang and Miao.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 27 February 2021
                : 19 April 2021
                Page count
                Figures: 10, Tables: 0, Equations: 0, References: 60, Pages: 14, Words: 0
                Categories
                Microbiology
                Original Research

                Microbiology & Virology
                panax notoginseng,rhizosphere microbiome,microbial diversity,metagenome,planting patterns

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