Eukaryotic transcriptomics <it>in silico</it>: Optimizing cDNA-AFLP efficiency

<p>Abstract</p> <p>Background</p> <p>Complementary-DNA based amplified fragment length polymorphism (cDNA-AFLP) is a commonly used tool for assessing the genetic regulation of traits through the correlation of trait expression with cDNA expression profiles. In spite of...

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Main Authors: Wüst Christian, Gort Gerrit, Stölting Kai N, Wilson Anthony B
Format: Article
Language:English
Published: BMC 2009-11-01
Series:BMC Genomics
Online Access:http://www.biomedcentral.com/1471-2164/10/565
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spelling doaj-d34f20065898455590041984a5d52da72020-11-24T21:58:28ZengBMCBMC Genomics1471-21642009-11-0110156510.1186/1471-2164-10-565Eukaryotic transcriptomics <it>in silico</it>: Optimizing cDNA-AFLP efficiencyWüst ChristianGort GerritStölting Kai NWilson Anthony B<p>Abstract</p> <p>Background</p> <p>Complementary-DNA based amplified fragment length polymorphism (cDNA-AFLP) is a commonly used tool for assessing the genetic regulation of traits through the correlation of trait expression with cDNA expression profiles. In spite of the frequent application of this method, studies on the optimization of the cDNA-AFLP assay design are rare and have typically been taxonomically restricted. Here, we model cDNA-AFLPs on all 92 eukaryotic species for which cDNA pools are currently available, using all combinations of eight restriction enzymes standard in cDNA-AFLP screens.</p> <p>Results</p> <p><it>In silco </it>simulations reveal that cDNA pool coverage is largely determined by the choice of individual restriction enzymes and that, through the choice of optimal enzyme combinations, coverage can be increased from <40% to 75% without changing the underlying experimental design. We find evidence of phylogenetic signal in the coverage data, which is largely mediated by organismal GC content. There is nonetheless a high degree of consistency in cDNA pool coverage for particular enzyme combinations, indicating that our recommendations should be applicable to most eukaryotic systems. We also explore the relationship between the average observed fragment number per selective AFLP-PCR reaction and the size of the underlying cDNA pool, and show how AFLP experiments can be used to estimate the number of genes expressed in a target tissue.</p> <p>Conclusion</p> <p>The insights gained from <it>in silico </it>screening of cDNA-AFLPs from a broad sampling of eukaryotes provide a set of guidelines that should help to substantially increase the efficiency of future cDNA-AFLP experiments in eukaryotes. <it>In silico </it>simulations also suggest a novel use of cDNA-AFLP screens to determine the number of transcripts expressed in a target tissue, an application that should be invaluable as next-generation sequencing technologies are adapted for differential display.</p> http://www.biomedcentral.com/1471-2164/10/565
collection DOAJ
language English
format Article
sources DOAJ
author Wüst Christian
Gort Gerrit
Stölting Kai N
Wilson Anthony B
spellingShingle Wüst Christian
Gort Gerrit
Stölting Kai N
Wilson Anthony B
Eukaryotic transcriptomics <it>in silico</it>: Optimizing cDNA-AFLP efficiency
BMC Genomics
author_facet Wüst Christian
Gort Gerrit
Stölting Kai N
Wilson Anthony B
author_sort Wüst Christian
title Eukaryotic transcriptomics <it>in silico</it>: Optimizing cDNA-AFLP efficiency
title_short Eukaryotic transcriptomics <it>in silico</it>: Optimizing cDNA-AFLP efficiency
title_full Eukaryotic transcriptomics <it>in silico</it>: Optimizing cDNA-AFLP efficiency
title_fullStr Eukaryotic transcriptomics <it>in silico</it>: Optimizing cDNA-AFLP efficiency
title_full_unstemmed Eukaryotic transcriptomics <it>in silico</it>: Optimizing cDNA-AFLP efficiency
title_sort eukaryotic transcriptomics <it>in silico</it>: optimizing cdna-aflp efficiency
publisher BMC
series BMC Genomics
issn 1471-2164
publishDate 2009-11-01
description <p>Abstract</p> <p>Background</p> <p>Complementary-DNA based amplified fragment length polymorphism (cDNA-AFLP) is a commonly used tool for assessing the genetic regulation of traits through the correlation of trait expression with cDNA expression profiles. In spite of the frequent application of this method, studies on the optimization of the cDNA-AFLP assay design are rare and have typically been taxonomically restricted. Here, we model cDNA-AFLPs on all 92 eukaryotic species for which cDNA pools are currently available, using all combinations of eight restriction enzymes standard in cDNA-AFLP screens.</p> <p>Results</p> <p><it>In silco </it>simulations reveal that cDNA pool coverage is largely determined by the choice of individual restriction enzymes and that, through the choice of optimal enzyme combinations, coverage can be increased from <40% to 75% without changing the underlying experimental design. We find evidence of phylogenetic signal in the coverage data, which is largely mediated by organismal GC content. There is nonetheless a high degree of consistency in cDNA pool coverage for particular enzyme combinations, indicating that our recommendations should be applicable to most eukaryotic systems. We also explore the relationship between the average observed fragment number per selective AFLP-PCR reaction and the size of the underlying cDNA pool, and show how AFLP experiments can be used to estimate the number of genes expressed in a target tissue.</p> <p>Conclusion</p> <p>The insights gained from <it>in silico </it>screening of cDNA-AFLPs from a broad sampling of eukaryotes provide a set of guidelines that should help to substantially increase the efficiency of future cDNA-AFLP experiments in eukaryotes. <it>In silico </it>simulations also suggest a novel use of cDNA-AFLP screens to determine the number of transcripts expressed in a target tissue, an application that should be invaluable as next-generation sequencing technologies are adapted for differential display.</p>
url http://www.biomedcentral.com/1471-2164/10/565
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