Construction of a sequence-tagged high-density genetic map of papaya for comparative structural and evolutionary genomics in Brassicales

Cuixia Chen, Qingyi Yu, Shaobin Hou, Yingjun Li, Moriah Eustice, Rachel L. Skelton, Olivia Veatch, Rachel E. Herdes, Lauren Diebold, Jimmy Saw, Yun Feng, Wubin Qian, Lee Bynum, Lei Wang, Paul H. Moore, Robert E. Paull, Maqsudul Alam, Ray Ming

Research output: Contribution to journalArticlepeer-review

Abstract

A high-density genetic map of papaya (Carica papaya L.) was constructed using microsatellite markers derived from BAC end sequences and whole-genome shot gun sequences. Fifty-four F2 plants derived from varieties AU9 and SunUp were used for linkage mapping. A total of 707 markers, including 706 microsatellite loci and the morphological marker fruit flesh color, were mapped into nine major and three minor linkage groups. The resulting map spanned 1069.9 cM with an average distance of 1.5 cM between adjacent markers. This sequence-based microsatellite map resolved the very large linkage group 2 (LG 2) of the previous high-density map using amplified fragment length polymorphism markers. The nine major LGs of our map represent papaya's haploid nine chromosomes with LG 1 of the sex chromosome being the largest. This map validates the suppression of recombination at the male-specific region of the Y chromosome (MSY) mapped on LG 1 and at potential centromeric regions of other LGs. Segregation distortion was detected in a large region on LG 1 surrounding the MSY region due to the abortion of the YY genotype and in a region of LG6 due to an unknown cause. This high-density sequence-tagged genetic map is being used to integrate genetic and physical maps and to assign genome sequence scaffolds to papaya chromosomes. It provides a framework for comparative structural and evolutional genomic research in the order Brassicales.

Original languageEnglish (US)
Pages (from-to)2481-2491
Number of pages11
JournalGenetics
Volume177
Issue number4
DOIs
StatePublished - Dec 2007

ASJC Scopus subject areas

  • Genetics

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