Literature DB >> 28148977

Survey of (Meta)genomic Approaches for Understanding Microbial Community Dynamics.

Anukriti Sharma1, Rup Lal1.   

Abstract

Advancement in the next generation sequencing technologies has led to evolution of the field of genomics and metagenomics in a slim duration with nominal cost at precipitous higher rate. While metagenomics and genomics can be separately used to reveal the culture-independent and culture-based microbial evolution, respectively, (meta)genomics together can be used to demonstrate results at population level revealing in-depth complex community interactions for specific ecotypes. The field of metagenomics which started with answering "who is out there?" based on 16S rRNA gene has evolved immensely with the precise organismal reconstruction at species/strain level from the deeply covered metagenome data outweighing the need to isolate bacteria of which 99% are de facto non-cultivable. In this review we have underlined the appeal of metagenomic-derived genomes in providing insights into the evolutionary patterns, growth dynamics, genome/gene-specific sweeps, and durability of environmental pressures. We have demonstrated the use of culture-based genomics and environmental shotgun metagenome data together to elucidate environment specific genome modulations via metagenomic recruitments in terms of gene loss/gain, accessory and core-genome extent. We further illustrated the benefit of (meta)genomics in the understanding of infectious diseases by deducing the relationship between human microbiota and clinical microbiology. This review summarizes the technological advances in the (meta)genomic strategies using the genome and metagenome datasets together to increase the resolution of microbial population studies.

Entities:  

Keywords:  De novo; Genome reconstruction; Genomics; Metagenomics; Recruitments

Year:  2016        PMID: 28148977      PMCID: PMC5243251          DOI: 10.1007/s12088-016-0629-x

Source DB:  PubMed          Journal:  Indian J Microbiol        ISSN: 0046-8991            Impact factor:   2.461


  127 in total

Review 1.  Paneth cells, defensins, and the commensal microbiota: a hypothesis on intimate interplay at the intestinal mucosa.

Authors:  Nita H Salzman; Mark A Underwood; Charles L Bevins
Journal:  Semin Immunol       Date:  2007-05-07       Impact factor: 11.130

Review 2.  Do symbiotic bacteria subvert host immunity?

Authors:  Lora V Hooper
Journal:  Nat Rev Microbiol       Date:  2009-05       Impact factor: 60.633

3.  Genome sequence of enterohaemorrhagic Escherichia coli O157:H7.

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Journal:  Nature       Date:  2001-01-25       Impact factor: 49.962

4.  An examination of the Cooper-Helmstetter theory of DNA replication in bacteria and its underlying assumptions.

Authors:  H Bremer; G Churchward
Journal:  J Theor Biol       Date:  1977-12-21       Impact factor: 2.691

Review 5.  The human gut microbiome: ecology and recent evolutionary changes.

Authors:  Jens Walter; Ruth Ley
Journal:  Annu Rev Microbiol       Date:  2011       Impact factor: 15.500

6.  PhymmBL expanded: confidence scores, custom databases, parallelization and more.

Authors:  Arthur Brady; Steven Salzberg
Journal:  Nat Methods       Date:  2011-05       Impact factor: 28.547

7.  MetAMOS: a modular and open source metagenomic assembly and analysis pipeline.

Authors:  Todd J Treangen; Sergey Koren; Daniel D Sommer; Bo Liu; Irina Astrovskaya; Brian Ondov; Aaron E Darling; Adam M Phillippy; Mihai Pop
Journal:  Genome Biol       Date:  2013-01-15       Impact factor: 13.583

8.  The Pfam protein families database.

Authors:  Marco Punta; Penny C Coggill; Ruth Y Eberhardt; Jaina Mistry; John Tate; Chris Boursnell; Ningze Pang; Kristoffer Forslund; Goran Ceric; Jody Clements; Andreas Heger; Liisa Holm; Erik L L Sonnhammer; Sean R Eddy; Alex Bateman; Robert D Finn
Journal:  Nucleic Acids Res       Date:  2011-11-29       Impact factor: 16.971

9.  Draft Genome Sequence of Sphingobium sp. Strain HDIPO4, an Avid Degrader of Hexachlorocyclohexane.

Authors:  Udita Mukherjee; Roshan Kumar; Nitish Kumar Mahato; J P Khurana; Rup Lal
Journal:  Genome Announc       Date:  2013-09-19

10.  Metataxonomic and Metagenomic Approaches vs. Culture-Based Techniques for Clinical Pathology.

Authors:  Sarah K Hilton; Eduardo Castro-Nallar; Marcos Pérez-Losada; Ian Toma; Timothy A McCaffrey; Eric P Hoffman; Marc O Siegel; Gary L Simon; W Evan Johnson; Keith A Crandall
Journal:  Front Microbiol       Date:  2016-04-07       Impact factor: 5.640

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  4 in total

1.  Diversity of fungi from mangrove sediments of Goa, India, obtained by metagenomic analysis using Illumina sequencing.

Authors:  Shyamalina Haldar; Sarita W Nazareth
Journal:  3 Biotech       Date:  2019-04-04       Impact factor: 2.406

2.  Taxonomic diversity of bacteria from mangrove sediments of Goa: metagenomic and functional analysis.

Authors:  Shyamalina Haldar; Sarita W Nazareth
Journal:  3 Biotech       Date:  2018-10-03       Impact factor: 2.406

3.  16S rRNA gene amplicon-based metagenomic analysis of bacterial communities in the rhizospheres of selected mangrove species from Mida Creek and Gazi Bay, Kenya.

Authors:  Edith M Muwawa; Chinedu C Obieze; Huxley M Makonde; Joyce M Jefwa; James H P Kahindi; Damase P Khasa
Journal:  PLoS One       Date:  2021-03-23       Impact factor: 3.240

4.  Whole-Genome and Transcriptome Sequencing-Based Characterization of Bacillus Cereus NR1 From Subtropical Marine Mangrove and Its Potential Role in Sulfur Metabolism.

Authors:  Muhammad Kashif; Zhaomei Lu; Yimeng Sang; Bing Yan; Syed Jalil Shah; Sohail Khan; Muhammad Azhar Hussain; Hongzhen Tang; Chengjian Jiang
Journal:  Front Microbiol       Date:  2022-03-09       Impact factor: 5.640

  4 in total

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