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Can-Seq: a PCR and DNA sequencing strategy for identifying new alleles of known and candidate genes.
Cao, Jiangling; Gursanscky, Nial R; Fletcher, Stephen J; Sawyer, Anne; Wadia, Mehershad; McKeough, Lachlan; Coleman, Marek; Dressel, Uwe; Taochy, Christelle; Mitter, Neena; Vaucheret, Hervé; Carroll, Bernard J.
Afiliação
  • Cao J; 1School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD 4072 Australia.
  • Gursanscky NR; 1School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD 4072 Australia.
  • Fletcher SJ; 1School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD 4072 Australia.
  • Sawyer A; 2Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD 4072 Australia.
  • Wadia M; 1School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD 4072 Australia.
  • McKeough L; 2Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD 4072 Australia.
  • Coleman M; 1School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD 4072 Australia.
  • Dressel U; 1School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD 4072 Australia.
  • Taochy C; 1School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD 4072 Australia.
  • Mitter N; 1School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD 4072 Australia.
  • Vaucheret H; 1School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD 4072 Australia.
  • Carroll BJ; 3Institut Jean-Pierre Bourgin, UMR 1318, INRA AgroParisTech CNRS, Université Paris-Saclay, 78000 Versailles, France.
Plant Methods ; 16: 16, 2020.
Article em En | MEDLINE | ID: mdl-32082406
ABSTRACT

BACKGROUND:

Forward genetic screens are a powerful approach for identifying the genes contributing to a trait of interest. However, mutants arising in genes already known can obscure the identification of new genes contributing to the trait. Here, we describe a strategy called Candidate gene-Sequencing (Can-Seq) for rapidly identifying and filtering out mutants carrying new alleles of known and candidate genes.

RESULTS:

We carried out a forward genetic screen and identified 40 independent Arabidopsis mutants with defects in systemic spreading of RNA interference (RNAi), or more specifically in root-to-shoot transmission of post-transcriptional gene silencing (rtp). To classify the mutants as either representing a new allele of a known or candidate gene versus carrying a mutation in an undiscovered gene, bulk genomic DNA from up to 23 independent mutants was used as template to amplify a collection of 47 known or candidate genes. These amplified sequences were combined into Can-Seq libraries and deep sequenced. Subsequently, mutations in the known and candidate genes were identified using a custom Snakemake script (https//github.com/Carroll-Lab/can_seq), and PCR zygosity tests were then designed and used to identify the individual mutants carrying each mutation. Using this approach, we showed that 28 of the 40 rtp mutants carried homozygous nonsense, missense or splice site mutations in one or more of the 47 known or candidate genes. We conducted complementation tests to demonstrate that several of the candidate mutations were responsible for the rtp defect. Importantly, by exclusion, the Can-Seq pipeline also identified rtp mutants that did not carry a causative mutation in any of the 47 known and candidate genes, and these mutants represent an undiscovered gene(s) required for systemic RNAi.

CONCLUSIONS:

Can-Seq offers an accurate, cost-effective method for classifying new mutants into known versus unknown genes. It has several advantages over existing genetic and DNA sequencing approaches that are currently being used in forward genetic screens for gene discovery. Using Can-Seq in conjunction with map-based gene cloning is a cost-effective approach towards identifying the full complement of genes contributing to a trait of interest.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article