High-density multi-population consensus genetic linkage map for peach
- PMID: 30462743
- PMCID: PMC6248993
- DOI: 10.1371/journal.pone.0207724
High-density multi-population consensus genetic linkage map for peach
Abstract
Highly saturated genetic linkage maps are extremely helpful to breeders and are an essential prerequisite for many biological applications such as the identification of marker-trait associations, mapping quantitative trait loci (QTL), candidate gene identification, development of molecular markers for marker-assisted selection (MAS) and comparative genetic studies. Several high-density genetic maps, constructed using the 9K SNP peach array, are available for peach. However, each of these maps is based on a single mapping population and has limited use for QTL discovery and comparative studies. A consensus genetic linkage map developed from multiple populations provides not only a higher marker density and a greater genome coverage when compared to the individual maps, but also serves as a valuable tool for estimating genetic positions of unmapped markers. In this study, a previously developed linkage map from the cross between two peach cultivars 'Zin Dai' and 'Crimson Lady' (ZC2) was improved by genotyping additional progenies. In addition, a peach consensus map was developed based on the combination of the improved ZC2 genetic linkage map with three existing high-density genetic maps of peach and a reference map of Prunus. A total of 1,476 SNPs representing 351 unique marker positions were mapped across eight linkage groups on the ZC2 genetic map. The ZC2 linkage map spans 483.3 cM with an average distance between markers of 1.38 cM/marker. The MergeMap and LPmerge tools were used for the construction of a consensus map based on markers shared across five genetic linkage maps. The consensus linkage map contains a total of 3,092 molecular markers, consisting of 2,975 SNPs, 116 SSRs and 1 morphological marker associated with slow ripening in peach (SR). The consensus map provides valuable information on marker order and genetic position for QTL identification in peach and other genetic studies within Prunus and Rosaceae.
Conflict of interest statement
The authors have declared that no competing interests exist.
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References
-
- Collard BC, Jahufer MZ, Brouwer J, Pang EC. An introduction to markers, quantitative trait loci (QTL) mapping and marker-assisted selection for crop improvement: The basic concepts. Euphytica 2005; 142:169–196.
-
- Wu J, Li LT, Li M, Khan MA, Li XG, Chen H, et al. High-density genetic linkage map construction and identification of fruit-related QTLs in pear using SNP and SSR markers. J Exp Bot. 2014; 65(20): 5771–5781. 10.1093/jxb/eru311 - DOI - PMC - PubMed
-
- Joobeur T, Viruel MA, de Vicente MC, Jáuregui B, Ballester J, Dettori MT, et al. Construction of a saturated linkage map for Prunus using an almond × peach F2 progeny. Theor. Appl. Genet. 1998; 97: 1034–1041.
-
- Wu Y, Close TJ, Lonardi S. On the accurate construction of consensus genetic maps. Comput. Syst. Bioinformatics Conf. 2008; 7: 285–296. - PubMed
-
- Khan MA, Han Y, Zhao YF, Troggio M, Korban SS. A multi-population consensus genetic map reveals inconsistent marker order among maps likely attributed to structural variations in the apple genome. PLoS ONE 2012; 7: e47864 10.1371/journal.pone.0047864 - DOI - PMC - PubMed