A BAC/BIBAC-based physical map of chickpea, Cicer arietinum L.

Department of Soil and Crop Sciences, Texas A&M University, College Station, Texas 77843-2474, USA.
BMC Genomics (Impact Factor: 4.04). 01/2010; 11:501. DOI: 10.1186/1471-2164-11-501
Source: PubMed

ABSTRACT Chickpea (Cicer arietinum L.) is the third most important pulse crop worldwide. Despite its importance, relatively little is known about its genome. The availability of a genome-wide physical map allows rapid fine mapping of QTL, development of high-density genome maps, and sequencing of the entire genome. However, no such a physical map has been developed in chickpea.
We present a genome-wide, BAC/BIBAC-based physical map of chickpea developed by fingerprint analysis. Four chickpea BAC and BIBAC libraries, two of which were constructed in this study, were used. A total of 67,584 clones were fingerprinted, and 64,211 (~11.7 x) of the fingerprints validated and used in the physical map assembly. The physical map consists of 1,945 BAC/BIBAC contigs, with each containing an average of 28.3 clones and having an average physical length of 559 kb. The contigs collectively span approximately 1,088 Mb. By using the physical map, we identified the BAC/BIBAC contigs containing or closely linked to QTL4.1 for resistance to Didymella rabiei (RDR) and QTL8 for days to first flower (DTF), thus further verifying the physical map and confirming its utility in fine mapping and cloning of QTL.
The physical map represents the first genome-wide, BAC/BIBAC-based physical map of chickpea. This map, along with other genomic resources previously developed in the species and the genome sequences of related species (soybean, Medicago and Lotus), will provide a foundation necessary for many areas of advanced genomics research in chickpea and other legume species. The inclusion of transformation-ready BIBACs in the map greatly facilitates its utility in functional analysis of the legume genomes.

  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Functional genomic elements, including transposable elements, small RNAs and non-coding RNAs, are involved in regulation of gene expression in response to plant stress. To identify genomic elements that regulate dehydration and alkaline tolerance in Boea hygrometrica, a resurrection plant that inhabits drought and alkaline Karst areas, a genomic DNA library from B. hygrometrica was constructed and subsequently transformed into Arabidopsis using binary bacterial artificial chromosome (BIBAC) vectors. Transgenic lines were screened under osmotic and alkaline conditions, leading to the identification of Clone L1-4 that conferred osmotic and alkaline tolerance. Sequence analyses revealed that L1-4 contained a 49-kb retroelement fragment from B. hygrometrica, of which only a truncated sequence was present in L1-4 transgenic Arabidopsis plants. Additional subcloning revealed that activity resided in a 2-kb sequence, designated Osmotic and Alkaline Resistance 1 (OAR1). In addition, transgenic Arabidopsis lines carrying an OAR1-homologue also showed similar stress tolerance phenotypes. Physiological and molecular analyses demonstrated that OAR1-transgenic plants exhibited improved photochemical efficiency and membrane integrity and biomarker gene expression under both osmotic and alkaline stresses. Short transcripts that originated from OAR1 were increased under stress conditions in both B. hygrometrica and Arabidopsis carrying OAR1. The relative copy number of OAR1 was stable in transgenic Arabidopsis under stress but increased in B. hygrometrica. Taken together, our results indicated a potential role of OAR1 element in plant tolerance to osmotic and alkaline stresses, and verified the feasibility of the BIBAC transformation technique to identify functional genomic elements from physiological model species.
    PLoS ONE 05/2014; 9(5):e98098. · 3.53 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Half-smooth tongue sole (Cynoglossus semilaevis Gunther) has been exploited as a commercially important cultured marine flatfish, and female grows 2-3 times faster than male. Genetic studies, especially on the chromosomal sex-determining system of this species, have been carried out in the last decade. Although the genome of half-smooth tongue sole was relatively small (626.9 Mb), there are still some difficulties in the high-quality assembly of the next generation genome sequencing reads without the assistance of a physical map, especially for the W chromosome of this fish due to abundance of repetitive sequences. The objective of this study is to construct a bacterial artificial chromosome (BAC)-based physical map for half-smooth tongue sole with the method of high information content fingerprinting (HICF). A physical map of half-smooth tongue sole was constructed with 30, 294 valid fingerprints (7.5 x genome coverage) with a tolerance of 4 and an initial cutoff of 1e-60. A total of 29,709 clones were assembled into 1,485 contigs with an average length of 539 kb and a N50 length of 664 kb. There were 394 contigs longer than the N50 length, and these contigs will be a useful resource for future integration with linkage map and whole genome sequence assembly. The estimated physical length of the assembled contigs was 797 Mb, representing approximately 1.27 coverage of the half-smooth tongue sole genome. The largest contig contained 410 BAC clones with a physical length of 3.48 Mb. Almost all of the 676 BAC clones (99.9%) in the 21 randomly selected contigs were positively validated by PCR assays, thereby confirming the reliability of the assembly. A first generation BAC-based physical map of half-smooth tongue sole was constructed with high reliability. The map will promote genetic improvement programs of this fish, especially integration of physical and genetic maps, fine-mappings of important gene and/or QTL, comparative and evolutionary genomics studies, as well as whole genome sequence assembly.
    BMC Genomics 03/2014; 15(1):215. · 4.04 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Physical map of chickpea was developed for the reference chickpea genotype (ICC 4958) using bacterial artificial chromosome (BAC) libraries targeting 71,094 clones (~12× coverage). High information content fingerprinting (HICF) of these clones gave high-quality fingerprinting data for 67,483 clones, and 1,174 contigs comprising 46,112 clones and 3,256 singletons were defined. In brief, 574 Mb genome size was assembled in 1,174 contigs with an average of 0.49 Mb per contig and 3,256 singletons represent 407 Mb genome. The physical map was linked with two genetic maps with the help of 245 BAC-end sequence (BES)-derived simple sequence repeat (SSR) markers. This allowed locating some of the BACs in the vicinity of some important quantitative trait loci (QTLs) for drought tolerance and reistance to Fusarium wilt and Ascochyta blight. In addition, fingerprinted contig (FPC) assembly was also integrated with the draft genome sequence of chickpea. As a result, ~965 BACs including 163 minimum tilling path (MTP) clones could be mapped on eight pseudo-molecules of chickpea forming 491 hypothetical contigs representing 54,013,992 bp (~54 Mb) of the draft genome. Comprehensive analysis of markers in abiotic and biotic stress tolerance QTL regions led to identification of 654, 306 and 23 genes in drought tolerance "QTL-hotspot" region, Ascochyta blight resistance QTL region and Fusarium wilt resistance QTL region, respectively. Integrated physical, genetic and genome map should provide a foundation for cloning and isolation of QTLs/genes for molecular dissection of traits as well as markers for molecular breeding for chickpea improvement.
    Functional & Integrative Genomics 03/2014; · 3.83 Impact Factor

Full-text (3 Sources)

Available from
May 19, 2014