AI Article Synopsis

  • The study aimed to systematically characterize the physical positions of over 2,700 molecular markers used in wheat genetics, integrating them into a detailed physical map of the wheat genome.
  • It found that 96.2% of these markers aligned well with previous analyses, creating a high-density physical map covering 14.01 Gb of the wheat genome.
  • This work enhances the understanding of wheat genome structure and supports future genetic research, including gene mapping and marker-assisted breeding strategies.

Article Abstract

Genetic information of polymerase chain reaction (PCR)-based markers, one of the main tools of genetics and genomics research in wheat, have been well documented in wheat. However, the physical position in relation to these markers has not yet been systematically characterized. Aim of this study was to characterize the physical information of thousands of widely used molecular markers.We first assigned 2705 molecular markers to wheat physical map, of which 86.1% and 84.7% were the best hits to chromosome survey sequencing (CSS) project (CSS-contigs) and International Wheat Genome Sequencing Consortium Reference Sequence v1.0 (IWGSC RefSeq v1.0), respectively. Physical position of 96.2% markers were predicated based on BLAST analysis, were in accordance with that of the previous nullisomic/aneuploidy/linkage analysis. A suggestive high-density physical map with 4643 loci was constructed, spanning 14.01 Gb (82.4%) of the wheat genome, with 3.02 Mb between adjacent markers. Both forward and reverse primer sequences of 1166 markers had consistent best hits to IWGSC RefSeq v1.0 based on BLAST analysis, and the corresponding allele sizes were characterized. A detailed physical map with 1532 loci was released, spanning 13.93 Gb (81.9%) of the wheat genome, with 9.09 Mb between adjacent markers. Characteristic of recombination rates in different chromosomal regions was discussed. In addition, markers with multiple sites were aligned to homoeologous sites with a consistent order, confirming that a collinearity existed among A, B and D subgenomes. This study facilitates the integration of physical and genetical information of molecular markers, which could be of value for use in genetics and genomics research such as gene/QTL map-based cloning and marker-assisted selection.

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