Literature DB >> 32030340

Metatranscriptomics: an approach for retrieving novel eukaryotic genes from polluted and related environments.

Arkadeep Mukherjee1, M Sudhakara Reddy1.   

Abstract

Metatranscriptomics, a subset of metagenomics, provides valuable information about the whole gene expression profiling of complex microbial communities of an ecosystem. Metagenomic studies mainly focus on the genomic content and identification of microbes present within a community, while metatranscriptomics provides the diversity of the active genes within such community, their expression profile and how these levels change due to change in environmental conditions. Metatranscriptomics has been applied to different types of environments, from the study of human microbiomes, to those found in plants, animals, within soils and in aquatic systems. Metatranscriptomics, based on the utilization of mRNA isolated from environmental samples, is a suitable approach to mine the eukaryotic gene pool for genes of biotechnological relevance. Also, it is imperative to develop different bioinformatic pipelines to analyse the data obtained from metatranscriptomic analysis. In the present review, we summarise the metatranscriptomics applied to soil environments to study the functional diversity, and discuss approaches for isolating the genes involved in organic matter degradation and providing tolerance to toxic metals, role of metatranscriptomics in microbiome research, various bioinformatics pipelines used in data analysis and technical challenges for gaining biologically meaningful insight of this approach. © King Abdulaziz City for Science and Technology 2020.

Entities:  

Keywords:  Eukaryotic genes; Functional diversity; Metagenomes; Metatranscriptomics; Microbiomes; Toxic metal tolerance

Year:  2020        PMID: 32030340      PMCID: PMC6985312          DOI: 10.1007/s13205-020-2057-1

Source DB:  PubMed          Journal:  3 Biotech        ISSN: 2190-5738            Impact factor:   2.406


  107 in total

Review 1.  Discovering Protein-Coding Genes from the Environment: Time for the Eukaryotes?

Authors:  Roland Marmeisse; Harald Kellner; Laurence Fraissinet-Tachet; Patricia Luis
Journal:  Trends Biotechnol       Date:  2017-03-07       Impact factor: 19.536

2.  Soil metatranscriptomics for mining eukaryotic heavy metal resistance genes.

Authors:  Frédéric Lehembre; Didier Doillon; Elise David; Sandrine Perrotto; Jessica Baude; Julie Foulon; Lamia Harfouche; Laurent Vallon; Julie Poulain; Corinne Da Silva; Patrick Wincker; Christine Oger-Desfeux; Pierre Richaud; Jan V Colpaert; Michel Chalot; Laurence Fraissinet-Tachet; Damien Blaudez; Roland Marmeisse
Journal:  Environ Microbiol       Date:  2013-05-13       Impact factor: 5.491

3.  Cellulose utilization in forest litter and soil: identification of bacterial and fungal decomposers.

Authors:  Martina Stursová; Lucia Zifčáková; Mary Beth Leigh; Robert Burgess; Petr Baldrian
Journal:  FEMS Microbiol Ecol       Date:  2012-03-27       Impact factor: 4.194

4.  Metagenomic characterisation of ruminal bacterial diversity in buffaloes from birth to adulthood using 16S rRNA gene amplicon sequencing.

Authors:  Prakash G Koringa; Jalpa R Thakkar; Ramesh J Pandit; Ankit T Hinsu; Mithil J Parekh; Ravi K Shah; Subhash J Jakhesara; Chaitanya G Joshi
Journal:  Funct Integr Genomics       Date:  2018-10-24       Impact factor: 3.410

5.  Environmental genome shotgun sequencing of the Sargasso Sea.

Authors:  J Craig Venter; Karin Remington; John F Heidelberg; Aaron L Halpern; Doug Rusch; Jonathan A Eisen; Dongying Wu; Ian Paulsen; Karen E Nelson; William Nelson; Derrick E Fouts; Samuel Levy; Anthony H Knap; Michael W Lomas; Ken Nealson; Owen White; Jeremy Peterson; Jeff Hoffman; Rachel Parsons; Holly Baden-Tillson; Cynthia Pfannkoch; Yu-Hui Rogers; Hamilton O Smith
Journal:  Science       Date:  2004-03-04       Impact factor: 47.728

6.  Thermal gradient gel electrophoresis analysis of bioprotection from pollutant shocks in the activated sludge microbial community.

Authors:  C A Eichner; R W Erb; K N Timmis; I Wagner-Döbler
Journal:  Appl Environ Microbiol       Date:  1999-01       Impact factor: 4.792

7.  Metatranscriptomics reveals the diversity of genes expressed by eukaryotes in forest soils.

Authors:  Coralie Damon; Frédéric Lehembre; Christine Oger-Desfeux; Patricia Luis; Jacques Ranger; Laurence Fraissinet-Tachet; Roland Marmeisse
Journal:  PLoS One       Date:  2012-01-06       Impact factor: 3.240

8.  Metabolic reconstruction for metagenomic data and its application to the human microbiome.

Authors:  Sahar Abubucker; Nicola Segata; Johannes Goll; Alyxandria M Schubert; Jacques Izard; Brandi L Cantarel; Beltran Rodriguez-Mueller; Jeremy Zucker; Mathangi Thiagarajan; Bernard Henrissat; Owen White; Scott T Kelley; Barbara Methé; Patrick D Schloss; Dirk Gevers; Makedonka Mitreva; Curtis Huttenhower
Journal:  PLoS Comput Biol       Date:  2012-06-13       Impact factor: 4.475

9.  Holistic Assessment of Rumen Microbiome Dynamics through Quantitative Metatranscriptomics Reveals Multifunctional Redundancy during Key Steps of Anaerobic Feed Degradation.

Authors:  Andrea Söllinger; Alexander Tøsdal Tveit; Morten Poulsen; Samantha Joan Noel; Mia Bengtsson; Jörg Bernhardt; Anne Louise Frydendahl Hellwing; Peter Lund; Katharina Riedel; Christa Schleper; Ole Højberg; Tim Urich
Journal:  mSystems       Date:  2018-08-07       Impact factor: 6.496

Review 10.  The uses of genome-wide yeast mutant collections.

Authors:  Bart Scherens; Andre Goffeau
Journal:  Genome Biol       Date:  2004-06-25       Impact factor: 13.583

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  5 in total

Review 1.  The endophytome (plant-associated microbiome): methodological approaches, biological aspects, and biotech applications.

Authors:  Thamara de Medeiros Azevedo; Flávia Figueira Aburjaile; José Ribamar Costa Ferreira-Neto; Valesca Pandolfi; Ana Maria Benko-Iseppon
Journal:  World J Microbiol Biotechnol       Date:  2021-10-28       Impact factor: 3.312

Review 2.  Potential of Meta-Omics to Provide Modern Microbial Indicators for Monitoring Soil Quality and Securing Food Production.

Authors:  Christophe Djemiel; Samuel Dequiedt; Battle Karimi; Aurélien Cottin; Walid Horrigue; Arthur Bailly; Ali Boutaleb; Sophie Sadet-Bourgeteau; Pierre-Alain Maron; Nicolas Chemidlin Prévost-Bouré; Lionel Ranjard; Sébastien Terrat
Journal:  Front Microbiol       Date:  2022-06-30       Impact factor: 6.064

3.  Metagenomics workflow for hybrid assembly, differential coverage binning, metatranscriptomics and pathway analysis (MUFFIN).

Authors:  Renaud Van Damme; Martin Hölzer; Adrian Viehweger; Bettina Müller; Erik Bongcam-Rudloff; Christian Brandt
Journal:  PLoS Comput Biol       Date:  2021-02-09       Impact factor: 4.475

4.  Fungal communities represent the majority of root-specific transcripts in the transcriptomes of Agave plants grown in semiarid regions.

Authors:  Marina Püpke Marone; Maria Fernanda Zaneli Campanari; Fabio Trigo Raya; Gonçalo Amarante Guimarães Pereira; Marcelo Falsarella Carazzolle
Journal:  PeerJ       Date:  2022-05-02       Impact factor: 3.061

5.  Development of transcriptomics-based growth rate indices in two model eukaryotes and relevance to metatranscriptomics datasets.

Authors:  Wye-Lup Kong; Ryuji J Machida
Journal:  Mol Ecol Resour       Date:  2022-06-14       Impact factor: 8.678

  5 in total

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