Identification of Genes Involved in the Degradation of Lignocellulose Using Comparative Transcriptomics

  • Robert J. Gruninger
  • Ian Reid
  • Robert J. Forster
  • Adrian Tsang
  • Tim A. McAllister
Protocol
Part of the Methods in Molecular Biology book series (MIMB, volume 1588)

Abstract

Lignocellulosic biomass represents an abundant, renewable resource that can be used to produce biofuels, low-cost livestock feed, and high-value chemicals. The potential of this resource has led to intensive research efforts to develop cost effective methods to breakdown lignocellulose. The efficiency with which the anaerobic fungi (phylum Neocallimastigomycota) degrade plant biomass is well recognized and in recent years has received renewed interest. Transcriptomics has been used to identify enzymes that are expressed by these fungi and are involved in the degradation of a range of lignocellulose feedstocks. The transcriptome is the entire complement of coding and noncoding RNA transcripts that are expressed by a cell under a particular set of conditions. Monitoring changes in gene expression can provide fundamental information about the biology of an organism. Here we outline a general methodology that will enable researchers to conduct comparative transcriptomic studies with the goal of identifying enzymes involved in the degradation of the plant cell wall. The method described here includes growth of fungal cultures, isolation and sequencing of RNA, and a basic description of data analysis for bioinformatic identification of differentially expressed transcripts.

Key words

Transcriptomics RNA-Seq Carbohydrate active enzyme Fungi Neocallimastigomycota 

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Copyright information

© Springer Science+Business Media LLC 2017

Authors and Affiliations

  • Robert J. Gruninger
    • 1
  • Ian Reid
    • 2
  • Robert J. Forster
    • 1
  • Adrian Tsang
    • 2
  • Tim A. McAllister
    • 1
  1. 1.Lethbridge Research and Development CentreAgriculture and Agri-Food CanadaLethbridgeCanada
  2. 2.Centre for Structural and Functional GenomicsConcordia UniversityQCCanada

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