Abstract

BackgroundThe wheat genome sequence is an essential tool for advanced genomic research and improvements. The generation of a high-quality wheat genome sequence is challenging due to its complex 17 Gb polyploid genome. To overcome these difficulties, sequencing through the construction of BAC-based physical maps of individual chromosomes is employed by the wheat genomics community. Here, we present the construction of the first comprehensive physical map of chromosome 1BS, and illustrate its unique gene space organization and evolution.ResultsFingerprinted BAC clones were assembled into 57 long scaffolds, anchored and ordered with 2,438 markers, covering 83% of chromosome 1BS. The BAC-based chromosome 1BS physical map and gene order of the orthologous regions of model grass species were consistent, providing strong support for the reliability of the chromosome 1BS assembly. The gene space for chromosome 1BS spans the entire length of the chromosome arm, with 76% of the genes organized in small gene islands, accompanied by a two-fold increase in gene density from the centromere to the telomere.ConclusionsThis study provides new evidence on common and chromosome-specific features in the organization and evolution of the wheat genome, including a non-uniform distribution of gene density along the centromere-telomere axis, abundance of non-syntenic genes, the degree of colinearity with other grass genomes and a non-uniform size expansion along the centromere-telomere axis compared with other model cereal genomes. The high-quality physical map constructed in this study provides a solid basis for the assembly of a reference sequence of chromosome 1BS and for breeding applications.

Highlights

  • The wheat genome sequence is an essential tool for advanced genomic research and improvements

  • We present the final assembly and analysis of the physical map of the 1BS chromosome of bread wheat, with comprehensive corresponding genomic resources including: (1) a deep-coverage bacterial artificial chromosome (BAC) library; (2) a highinformation-content BAC fingerprint data set; (3) assembled BAC contigs subsequently elongated to scaffolds using Linear Topological Contig (LTC); (4) a transcriptional map based on the wheat gene microarray containing approximately 40 K National Center for Biotechnology Information (NCBI) UniGene expressed sequence tags (ESTs) clusters and (5) sequence-based marker data sets, including shotgun sequences of 1BS [31], BAC-end sequences (BESs) and genetic markers used to infer contig position and orientation with respect to the model grass reference genomes

  • The assembly obtained by LTC contained fewer, longer and more reliable BAC contigs than the assembly obtained by FingerPrinted Contigs (FPC), as evidenced by the following comparisons

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Summary

Introduction

The generation of a high-quality wheat genome sequence is challenging due to its complex 17 Gb polyploid genome To overcome these difficulties, sequencing through the construction of BAC-based physical maps of individual chromosomes is employed by the wheat genomics community. The wheat genome sequence is an essential tool for advanced genomic research and improvements that will enable growers to meet the increasing demands for high-quality food and feed produced in an environmentally sensitive, sustainable and profitable manner. The ability to sort out individual wheat chromosomes by flow cytometry has been key to the success in reducing the complexity of wheat genome analysis This approach has made it possible to develop chromosomespecific BAC libraries using aneuploid lines of the model wheat genotype Chinese Spring (CS) [7,8,9]. The presence of repetitive or poorly fingerprinted ‘questionable’ clones (Q-clones) can lead to false overlaps and wrongly assembled contigs

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