Literature DB >> 27002060

Comparative Transcriptomic Approaches Exploring Contamination Stress Tolerance in Salix sp. Reveal the Importance for a Metaorganismal de Novo Assembly Approach for Nonmodel Plants.

Nicholas J B Brereton1, Emmanuel Gonzalez2, Julie Marleau2, Werther Guidi Nissim2, Michel Labrecque2, Simon Joly2, Frederic E Pitre2.   

Abstract

Metatranscriptomic study of nonmodel organisms requires strategies that retain the highly resolved genetic information generated from model organisms while allowing for identification of the unexpected. A real-world biological application of phytoremediation, the field growth of 10 Salix cultivars on polluted soils, was used as an exemplar nonmodel and multifaceted crop response well-disposed to the study of gene expression. Sequence reads were assembled de novo to create 10 independent transcriptomes, a global transcriptome, and were mapped against the Salix purpurea 94006 reference genome. Annotation of assembled contigs was performed without a priori assumption of the originating organism. Global transcriptome construction from 3.03 billion paired-end reads revealed 606,880 unique contigs annotated from 1588 species, often common in all 10 cultivars. Comparisons between transcriptomic and metatranscriptomic methodologies provide clear evidence that nonnative RNA can mistakenly map to reference genomes, especially to conserved regions of common housekeeping genes, such as actin, α/β-tubulin, and elongation factor 1-α. In Salix, Rubisco activase transcripts were down-regulated in contaminated trees across all 10 cultivars, whereas thiamine thizole synthase and CP12, a Calvin Cycle master regulator, were uniformly up-regulated. De novo assembly approaches, with unconstrained annotation, can improve data quality; care should be taken when exploring such plant genetics to reduce de facto data exclusion by mapping to a single reference genome alone. Salix gene expression patterns strongly suggest cultivar-wide alteration of specific photosynthetic apparatus and protection of the antenna complexes from oxidation damage in contaminated trees, providing an insight into common stress tolerance strategies in a real-world phytoremediation system.
© 2016 American Society of Plant Biologists. All Rights Reserved.

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Year:  2016        PMID: 27002060      PMCID: PMC4854704          DOI: 10.1104/pp.16.00090

Source DB:  PubMed          Journal:  Plant Physiol        ISSN: 0032-0889            Impact factor:   8.340


  128 in total

1.  CP12 provides a new mode of light regulation of Calvin cycle activity in higher plants.

Authors:  N Wedel; J Soll; B K Paap
Journal:  Proc Natl Acad Sci U S A       Date:  1997-09-16       Impact factor: 11.205

2.  Field and pulping performances of transgenic trees with altered lignification.

Authors:  Gilles Pilate; Emma Guiney; Karen Holt; Michel Petit-Conil; Catherine Lapierre; Jean-Charles Leplé; Brigitte Pollet; Isabelle Mila; Elizabeth A Webster; Håkan G Marstorp; David W Hopkins; Lise Jouanin; Wout Boerjan; Wolfgang Schuch; Daniel Cornu; Claire Halpin
Journal:  Nat Biotechnol       Date:  2002-06       Impact factor: 54.908

3.  Identification of the gene for an Escherichia coli poly(A) polymerase.

Authors:  G J Cao; N Sarkar
Journal:  Proc Natl Acad Sci U S A       Date:  1992-11-01       Impact factor: 11.205

4.  Metagenome analyses of corroded concrete wastewater pipe biofilms reveal a complex microbial system.

Authors:  Vicente Gomez-Alvarez; Randy P Revetta; Jorge W Santo Domingo
Journal:  BMC Microbiol       Date:  2012-06-22       Impact factor: 3.605

5.  Effects of heavy metals and arbuscular mycorrhiza on the leaf proteome of a selected poplar clone: a time course analysis.

Authors:  Guido Lingua; Elisa Bona; Valeria Todeschini; Chiara Cattaneo; Francesco Marsano; Graziella Berta; Maria Cavaletto
Journal:  PLoS One       Date:  2012-06-26       Impact factor: 3.240

6.  Phylogenetic relationships of American willows (Salix L., Salicaceae).

Authors:  Aurélien Lauron-Moreau; Frédéric E Pitre; George W Argus; Michel Labrecque; Luc Brouillet
Journal:  PLoS One       Date:  2015-04-16       Impact factor: 3.240

7.  De novo assembly of bacterial transcriptomes from RNA-seq data.

Authors:  Brian Tjaden
Journal:  Genome Biol       Date:  2015-01-13       Impact factor: 13.583

8.  Validating internal controls for quantitative plant gene expression studies.

Authors:  Amy M Brunner; Igor A Yakovlev; Steven H Strauss
Journal:  BMC Plant Biol       Date:  2004-08-18       Impact factor: 4.215

Review 9.  Redox regulation of the Calvin-Benson cycle: something old, something new.

Authors:  Laure Michelet; Mirko Zaffagnini; Samuel Morisse; Francesca Sparla; María Esther Pérez-Pérez; Francesco Francia; Antoine Danon; Christophe H Marchand; Simona Fermani; Paolo Trost; Stéphane D Lemaire
Journal:  Front Plant Sci       Date:  2013-11-25       Impact factor: 5.753

10.  Revisiting operons: an analysis of the landscape of transcriptional units in E. coli.

Authors:  Xizeng Mao; Qin Ma; Bingqiang Liu; Xin Chen; Hanyuan Zhang; Ying Xu
Journal:  BMC Bioinformatics       Date:  2015-11-04       Impact factor: 3.169

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  4 in total

1.  Soil contamination alters the willow root and rhizosphere metatranscriptome and the root-rhizosphere interactome.

Authors:  Etienne Yergeau; Julien Tremblay; Simon Joly; Michel Labrecque; Christine Maynard; Frederic E Pitre; Marc St-Arnaud; Charles W Greer
Journal:  ISME J       Date:  2018-01-12       Impact factor: 10.302

2.  Transcriptomic Response of Purple Willow (Salix purpurea) to Arsenic Stress.

Authors:  Aymeric Yanitch; Nicholas J B Brereton; Emmanuel Gonzalez; Michel Labrecque; Simon Joly; Frederic E Pitre
Journal:  Front Plant Sci       Date:  2017-06-28       Impact factor: 5.753

3.  Trees, fungi and bacteria: tripartite metatranscriptomics of a root microbiome responding to soil contamination.

Authors:  E Gonzalez; F E Pitre; A P Pagé; J Marleau; W Guidi Nissim; M St-Arnaud; M Labrecque; S Joly; E Yergeau; N J B Brereton
Journal:  Microbiome       Date:  2018-03-21       Impact factor: 14.650

4.  ANCHOR: a 16S rRNA gene amplicon pipeline for microbial analysis of multiple environmental samples.

Authors:  Emmanuel Gonzalez; Frederic E Pitre; Nicholas J B Brereton
Journal:  Environ Microbiol       Date:  2019-05-21       Impact factor: 5.491

  4 in total

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