Efficient genome-wide genotyping strategies and data integration in crop plants


  • Publication date : 2018-01-19

Reference

Torkamaneh, D., Boyle, B. and Belzile, F. 2018. Efficient genome-wide genotyping strategies and data integration in crop plants. Theoretical and Applied Genetics.

Additional information

PubMed ID : 29352324

Doi : 10.1007/s00122-018-3056-z

Abstract

Next-generation sequencing technologies provide powerful and flexible genotyping methods to plant breeders and researchers. These methods offer a wide range of applications from genome-wide analysis to routine screening with a high level of accuracy and reproducibility. Furthermore, they provide a straightforward workflow to identify, validate, and screen genetic variants in a short time with a low cost. NGS-based genotyping methods include whole-genome re-sequencing, SNP arrays, and reduced representation sequencing, which are widely applied in crops. The main challenges facing breeders and geneticists today is how to choose an appropriate genotyping method and how to integrate genotyping data sets obtained from various sources. Here, we review and discuss the advantages and challenges of several NGS methods for genome-wide genetic marker development and genotyping in crop plants. We also discuss how imputation methods can be used to both fill in missing data in genotypic data sets and to integrate data sets obtained using different genotyping tools. It is our hope that this synthetic view of genotyping methods will help geneticists and breeders to integrate these NGS-based methods in crop plant breeding and research.


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