Literature DB >> 28711820

Integrated metagenomics and molecular ecological network analysis of bacterial community composition during the phytoremediation of cadmium-contaminated soils by bioenergy crops.

Zhaojin Chen1, Yuan Zheng2, Chuanyu Ding2, Xuemin Ren2, Jian Yuan2, Feng Sun2, Yuying Li2.   

Abstract

Two energy crops (maize and soybean) were used in the remediation of cadmium-contaminated soils. These crops were used because they are fast growing, have a large biomass and are good sources for bioenergy production. The total accumulation of cadmium in maize and soybean plants was 393.01 and 263.24μg pot-1, respectively. The rhizosphere bacterial community composition was studied by MiSeq sequencing. Phylogenetic analysis was performed using 16S rRNA gene sequences. The rhizosphere bacteria were divided into 33 major phylogenetic groups according to phyla. The dominant phylogenetic groups included Proteobacteria, Acidobacteria, Actinobacteria, Gemmatimonadetes, and Bacteroidetes. Based on principal component analysis (PCA) and unweighted pair group with arithmetic mean (UPGMA) analysis, we found that the bacterial community was influenced by cadmium addition and bioenergy cropping. Three molecular ecological networks were constructed for the unplanted, soybean- and maize-planted bacterial communities grown in 50mgkg-1 cadmium-contaminated soils. The results indicated that bioenergy cropping increased the complexity of the bacterial community network as evidenced by a higher total number of nodes, the average geodesic distance (GD), the modularity and a shorter geodesic distance. Proteobacteria and Acidobacteria were the keystone bacteria connecting different co-expressed operational taxonomic units (OTUs). The results showed that bioenergy cropping altered the topological roles of individual OTUs and keystone populations. This is the first study to reveal the effects of bioenergy cropping on microbial interactions in the phytoremediation of cadmium-contaminated soils by network reconstruction. This method can greatly enhance our understanding of the mechanisms of plant-microbe-metal interactions in metal-polluted ecosystems.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bacterial community structure; Bioenergy crops; Cadmium; MiSeq sequencing; Molecular ecological network analysis; Phytoremediation

Mesh:

Substances:

Year:  2017        PMID: 28711820     DOI: 10.1016/j.ecoenv.2017.07.019

Source DB:  PubMed          Journal:  Ecotoxicol Environ Saf        ISSN: 0147-6513            Impact factor:   6.291


  12 in total

1.  Characterization and comprehensive analysis of the ecological interaction networks of bacterial communities in Paullinia cupana var. sorbilis by 16S rRNA gene metabarcoding.

Authors:  Rhavena Graziela Liotti; Rafael Correia da Silva; Daniel Guariz Pinheiro; Joaquim Manoel da Silva; Gilvan Ferreira da Silva; Elisabeth Aparecida Furtado de Mendonça; Marcos Antônio Soares
Journal:  World J Microbiol Biotechnol       Date:  2019-11-14       Impact factor: 3.312

2.  Bama Pig Manure Organic Fertilizer Regulates the Watermelon Rhizosphere Bacterial Community to Inhibit the Occurrence of Fusarium Wilt Under Continuous Cropping Conditions.

Authors:  Hao Zhang; Huiying Yang; Xin Zhang; Jie Sun; Lianzheng Dong; Hui Han; Zhaojin Chen
Journal:  Curr Microbiol       Date:  2022-10-17       Impact factor: 2.343

3.  Physiological responses of Morus alba L. in heavy metal(loid)-contaminated soil and its associated improvement of the microbial diversity.

Authors:  Peng Zeng; Fenglian Huang; Zhaohui Guo; Xiyuan Xiao; Chi Peng
Journal:  Environ Sci Pollut Res Int       Date:  2019-12-12       Impact factor: 4.223

4.  Plant and microalgae consortium for an enhanced biodegradation of sulfamethazine.

Authors:  Jiu-Qiang Xiong; Byong-Hun Jeon; Sanjay P Govindwar; Mayur B Kurade; Swapnil M Patil; Jung-Han Park; Ki-Hyun Kim
Journal:  Environ Sci Pollut Res Int       Date:  2019-10-24       Impact factor: 4.223

Review 5.  Cadmium-tolerant bacteria: current trends and applications in agriculture.

Authors:  D Bravo; O Braissant
Journal:  Lett Appl Microbiol       Date:  2021-11-13       Impact factor: 2.813

6.  Metagenomic analysis of rhizosphere microflora of oil-contaminated soil planted with barley and alfalfa.

Authors:  Vinod Kumar; Sabah AlMomin; Hamed Al-Aqeel; Fadila Al-Salameen; Sindhu Nair; Anisha Shajan
Journal:  PLoS One       Date:  2018-08-09       Impact factor: 3.240

7.  Metagenomic Insight into the Community Structure of Maize-Rhizosphere Bacteria as Predicted by Different Environmental Factors and Their Functioning within Plant Proximity.

Authors:  Saheed Adekunle Akinola; Ayansina Segun Ayangbenro; Olubukola Oluranti Babalola
Journal:  Microorganisms       Date:  2021-06-30

8.  Comparative assessment of autochthonous bacterial and fungal communities and microbial biomarkers of polluted agricultural soils of the Terra dei Fuochi.

Authors:  Valeria Ventorino; Alberto Pascale; Paola Adamo; Claudia Rocco; Nunzio Fiorentino; Mauro Mori; Vincenza Faraco; Olimpia Pepe; Massimo Fagnano
Journal:  Sci Rep       Date:  2018-09-24       Impact factor: 4.379

9.  Planktonic fungal community structures and their relationship to water quality in the Danjiangkou Reservoir, China.

Authors:  Zhaojin Chen; Jian Yuan; Feng Sun; Fei Zhang; Yan Chen; Chuanyu Ding; Jianwei Shi; Yuying Li; Lunguang Yao
Journal:  Sci Rep       Date:  2018-07-13       Impact factor: 4.379

Review 10.  Computational Biology and Machine Learning Approaches to Understand Mechanistic Microbiome-Host Interactions.

Authors:  Padhmanand Sudhakar; Kathleen Machiels; Bram Verstockt; Tamas Korcsmaros; Séverine Vermeire
Journal:  Front Microbiol       Date:  2021-05-11       Impact factor: 5.640

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