Construction of high-quality recombination maps with low-coverage genomic sequencing for joint linkage analysis in maize
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- 作者：Chunhui Li ; Yongxiang Li ; Peter J. Bradbury ; Xun Wu ; Yunsu Shi ; Yanchun Song…
- 关键词：Recombination bin map ; Sequencing ; Joint linkage analysis ; Nested association mapping population ; Maize
- 刊名：BMC Biology
- 出版年：2015
- 出版时间：December 2015
- 年：2015
- 卷：13
- 期：1
- 全文大小：2,042 KB
- 刊物主题：Life Sciences, general;
- 出版者：BioMed Central
- ISSN：1741-7007
文摘
Background A genome-wide association study (GWAS) is the foremost strategy used for finding genes that control human diseases and agriculturally important traits, but it often reports false positives. In contrast, its complementary method, linkage analysis, provides direct genetic confirmation, but with limited resolution. A joint approach, using multiple linkage populations, dramatically improves resolution and statistical power. For example, this approach has been used to confirm that many complex traits, such as flowering time controlling adaptation in maize, are controlled by multiple genes with small effects. In addition, genotyping by sequencing (GBS) at low coverage not only produces genotyping errors, but also results in large datasets, making the use of high-throughput sequencing technologies computationally inefficient or unfeasible.