An integrated map of Arabidopsis thaliana for functional analysis of its genome sequence.

The genome of the model plant species Arabidopsis thaliana has recently been sequenced. To accelerate its current genome research, we developed a whole-genome, BAC/BIBAC-based, integrated physical, genetic, and sequence map of the A. thaliana ecotype Columbia. This new map was constructed from the clones of a new plant-transformation-competent BIBAC library and is integrated with the existing sequence map. The clones were restriction fingerprinted by DNA sequencing gel-based electrophoresis, assembled into contigs, and anchored to an existing genetic map. The map consists of 194 BAC/BIBAC contigs, spanning 126 Mb of the 130-Mb Arabidopsis genome. A total of 120 contigs, spanning 114 Mb, were anchored to the chromosomes of Arabidopsis. Accuracy of the integrated map was verified using the existing physical and sequence maps and numerous DNA markers. Integration of the new map with the sequence map has enabled gap closure of the sequence map and will facilitate functional analysis of the genome sequence. The method used here has been demonstrated to be sufficient for whole-genome physical mapping from large-insert random bacterial clones and thus is applicable to rapid development of whole-genome physical maps for other species.

Chang YL ，Tao Q ，Scheuring C ，Ding K ，Meksem K ，Zhang HB ... -  《GENETICS》

A plant-transformation-competent BIBAC/BAC-based map of rice for functional analysis and genetic engineering of its genomic sequence.

Sequencing of the rice genome has provided a platform for functional genomics research of rice and other cereal species. However, multiple approaches are needed to determine the functions of its genes and sequences and to use the genome sequencing results for genetic improvement of cereal crops. Here, we report a plant-transformation-competent, binary bacterial artificial chromosome (BIBAC) and bacterial artificial chromosome (BAC) based map of rice to facilitate these studies. The map was constructed from 20 835 BIBAC and BAC clones, and consisted of 579 overlapping BIBAC/BAC contigs. To facilitate functional analysis of chromosome 8 genomic sequence and cloning of the genes and QTLs mapped to the chromosome, we anchored the chromosomal contigs to the existing rice genetic maps. The chromosomal map consists of 11 contigs, 59 genetic markers, and 36 sequence tagged sites, spanning a total of ca. 38 Mb in physical length. Comparative analysis between the genetic and physical maps of chromosome 8 showed that there are 3 "hot" and 2 "cold" spots of genetic recombination along the chromosomal arms in addition to the "cold spot" in the centromeric region, suggesting that the sequence component contents of a chromosome may affect its local genetic recombination frequencies. Because of its plant transformability, the BIBAC/BAC map could provide a platform for functional analysis of the rice genome sequence and effective use of the sequencing results for gene and QTL cloning and molecular breeding.

Li Y ，Uhm T ，Ren C ，Wu C ，Santos TS ，Lee MK ，Yan B ，Santos F ，Zhang A ，Scheuring C ，Sanchez A ，Millena AC ，Nguyen HT ，Kou H ，Liu D ，Zhang HB ... -  《GENOME》

Sequence-based physical mapping of complex genomes by whole genome profiling.

We present whole genome profiling (WGP), a novel next-generation sequencing-based physical mapping technology for construction of bacterial artificial chromosome (BAC) contigs of complex genomes, using Arabidopsis thaliana as an example. WGP leverages short read sequences derived from restriction fragments of two-dimensionally pooled BAC clones to generate sequence tags. These sequence tags are assigned to individual BAC clones, followed by assembly of BAC contigs based on shared regions containing identical sequence tags. Following in silico analysis of WGP sequence tags and simulation of a map of Arabidopsis chromosome 4 and maize, a WGP map of Arabidopsis thaliana ecotype Columbia was constructed de novo using a six-genome equivalent BAC library. Validation of the WGP map using the Columbia reference sequence confirmed that 350 BAC contigs (98%) were assembled correctly, spanning 97% of the 102-Mb calculated genome coverage. We demonstrate that WGP maps can also be generated for more complex plant genomes and will serve as excellent scaffolds to anchor genetic linkage maps and integrate whole genome sequence data.

van Oeveren J ，de Ruiter M ，Jesse T ，van der Poel H ，Tang J ，Yalcin F ，Janssen A ，Volpin H ，Stormo KE ，Bogden R ，van Eijk MJ ，Prins M ... -  《-》

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

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.

Zhang X ，Scheuring CF ，Zhang M ，Dong JJ ，Zhang Y ，Huang JJ ，Lee MK ，Abbo S ，Sherman A ，Shtienberg D ，Chen W ，Muehlbauer F ，Zhang HB ... -  《BMC GENOMICS》

A complete BAC-based physical map of the Arabidopsis thaliana genome.

Arabidopsis thaliana is a small flowering plant that serves as the major model system in plant molecular genetics. The efforts of many scientists have produced genetic maps that provide extensive coverage of the genome (http://genome-www. stanford.edu/Arabidopsis/maps.html). Recently, detailed YAC, BAC, P1 and cosmid-based physical maps (that is, representations of genomic regions as sets of overlapping clones of corresponding libraries) have been established that extend over wide genomic areas ranging from several hundreds of kilobases to entire chromosomes. These maps provide an entry to gain deeper insight into the A. thaliana genome structure. A. thaliana has been chosen as the subject of the first large-scale project intended to determine the full genome sequence of a plant. This sequencing project, together with the increasing interest in map-based gene cloning, has highlighted the requirement for a complete and accurate physical map of this plant species. To supply the scientific community with a high-quality resource, we present here a complete physical map of A. thaliana using essentially the IGF BAC library. The map consists of 27 contigs that cover the entire genome, except for the presumptive centromeric regions, nucleolar organization regions (NOR) and telomeric areas. This is the first reported map of a complex organism based entirely on BAC clones and it represents the most homogeneous and complete physical map established to date for any plant genome. Furthermore, the analysis performed here serves as a model for an efficient physical mapping procedure using BAC clones that can be applied to other complex genomes.

Mozo T ，Dewar K ，Dunn P ，Ecker JR ，Fischer S ，Kloska S ，Lehrach H ，Marra M ，Martienssen R ，Meier-Ewert S ，Altmann T ... -  《NATURE GENETICS》