Keyword search (4,163 papers available)

"Methods Mol Biol" Category Publications:

Title Authors PubMed ID
1 Using Models to (Re-)Design Synthetic Circuits. McCallum G, Potvin-Trottier L 33405217
BIOLOGY
2 Computer-Aided Design of Active Pseudoknotted Hammerhead Ribozymes. Najeh S, Zandi K, Djerroud S, Kharma N, Perreault J 32712917
ENCS
3 Metabolomic and lipidomic analyses of chronologically aging yeast. Richard VR, Bourque SD, Titorenko VI 25213255
BIOLOGY
4 A Cell-Free Content Mixing Assay for SNARE-Mediated Multivesicular Body-Vacuole Membrane Fusion. Karim MA, Samyn DR, Brett CL 30317513
BIOLOGY
5 Visualization of SNARE-Mediated Organelle Membrane Hemifusion by Electron Microscopy. Mattie S, Kazmirchuk T, Mui J, Vali H, Brett CL 30317518
BIOLOGY
6 Identification of Genes Involved in the Degradation of Lignocellulose Using Comparative Transcriptomics. Gruninger RJ, Reid I, Forster RJ, Tsang A, McAllister TA 28417376
CSFG
7 Isolation and Preparation of Extracellular Proteins from Lignocellulose Degrading Fungi for Comparative Proteomic Studies Using Mass Spectrometry Robert J Gruninger 28417377
CSFG
8 Introduction: Overview of Fungal Genomics. de Vries RP, Grigoriev IV, Tsang A 29876804
CSFG
9 Fungal Genomic DNA Extraction Methods for Rapid Genotyping and Genome Sequencing. Bellemare A, John T, Marqueteau S 29876805
CSFG
10 Mass Spectrometry-Based Proteomics Marcos Rafael Di Falco 29876812
CSFG
11 Evolutionary Adaptation to Generate Mutants. de Vries RP, Lubbers R, Patyshakuliyeva A, Wiebenga A, Benoit-Gelber I 29876815
BIOLOGY
12 Manual Gene Curation and Functional Annotation. McDonnell E, Strasser K, Tsang A 29876819
CSFG
13 Evaluating Programs for Predicting Genes and Transcripts with RNA-Seq Support in Fungal Genomes. Reid I 29876820
CSFG
14 Phylogenetic Analysis of Protein Family. Song L, Wu S, Tsang A 29876824
CSFG

 

Title:Identification of Genes Involved in the Degradation of Lignocellulose Using Comparative Transcriptomics.
Authors:Gruninger RJReid IForster RJTsang AMcAllister TA
Link:https://www.ncbi.nlm.nih.gov/pubmed/28417376?dopt=Abstract
DOI:10.1007/978-1-4939-6899-2_21
Publication:Methods in molecular biology (Clifton, N.J.)
Keywords:Carbohydrate active enzymeFungiNeocallimastigomycotaRNA-SeqTranscriptomics
PMID:28417376 Category:Methods Mol Biol Date Added:2019-06-07
Dept Affiliation: CSFG
1 Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, 5403 1st Ave. South, Lethbridge, AB, Canada, T1J 4B1. robert.gruninger@agr.gc.ca.
2 Centre for Structural and Functional Genomics, Concordia University, Montreal, QC, Canada.
3 Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, 5403 1st Ave. South, Lethbridge, AB, Canada, T1J 4B1.

Description:

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

Methods Mol Biol. 2017;1588:279-298

Authors: Gruninger RJ, Reid I, Forster RJ, Tsang A, McAllister TA

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.

PMID: 28417376 [PubMed - indexed for MEDLINE]





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