Sequencing of 15 622 gene-bearing BACs clarifies the gene-dense regions of the barley genome

Barley (Hordeum vulgare L.) possesses a large and highly repetitive genome of 5.1 Gb that has hindered the development of a complete sequence. In 2012, the International Barley Sequencing Consortium released a resource integrating whole-genome shotgun sequences with a physical and genetic framework. However, because only 6278 bacterial artificial chromosome (BACs) in the physical map were sequenced, fine structure was limited. To gain access to the gene-containing portion of the barley genome at high resolution, we identified and sequenced 15 622 BACs representing the minimal tiling path of 72 052 physical-mapped gene-bearing BACs. This generated ~1.7 Gb of genomic sequence containing an estimated 2/3 of all Morex barley genes. Exploration of these sequenced BACs revealed that although distal ends of chromosomes contain most of the gene-enriched BACs and are characterized by high recombination rates, there are also gene-dense regions with suppressed recombination. We made use of published map-anchored sequence data from Aegilops tauschii to develop a synteny viewer between barley and the ancestor of the wheat D-genome. Except for some notable inversions, there is a high level of collinearity between the two species. The software HarvEST:Barley provides facile access to BAC sequences and their annotations, along with the barley-Ae. tauschii synteny viewer. These BAC sequences constitute a resource to improve the efficiency of marker development, map-based cloning, and comparative genomics in barley and related crops. Additional knowledge about regions of the barley genome that are gene-dense but low recombination is particularly relevant.

First Report of Candidatus Liberibacter asiaticus Associated with Citrus Huanglongbing in California

Huanglongbing (HLB), also known as citrus greening, is one of the most destructive citrus diseases worldwide and is seen as a major threat to the multimillion dollar citrus industry in California. The vector of the two bacterial species associated with this disease, Candidatus Liberibacter asiaticus and Ca. L. americanus, is the Asian citrus psyllid (ACP), Diaphorina citri (4). ACP was detected in California in August of 2008 and has since been detected in nine counties in southern California. As part of a long term survey and testing program for the ACP carrying the HLB associated bacteria, groups of ACP nymphs and adults were submitted to the Jerry Dimitman Citrus Research Board/Citrus Pest and Disease Prevention Program Laboratory in Riverside, CA. In March 2012, DNA extracted using the Qiagen MagAttract 96 DNA plant kit (QIAGEN Inc., 27220 Turnberry Lane, Suite 200, Valencia, CA 91355) from a group of three ACP adults tested positive for Ca. L. asiaticus with the real-time PCR assay developed by Li et al. (4). ACP adults were collected from a residential citrus tree located in the Hacienda Heights area of Los Angeles County, California. The approximately 1.8 meter tall lemon tree had 23 graft unions, primarily of lemon (Citrus × meyeri) and pomelo (Citrus maxima) varieties. The tree was unthrifty, with yellow shoots and chlorotic leaves. Symptoms on the lemon and pomelo leaves included asymmetrical blotchy mottling, yellowing, and corking of the leaf veins, with the blotchy mottle more prominent in the pomelo leaves. Pomelo leaves appeared crinkled along the thickened veins. Lemon leaves had yellow veins and a few had islands of green tissue completely surrounded by yellow tissue. The entire tree was removed, cut into sections, bagged, and transported to the CDFA Plant Pest Diagnostics Lab for analysis. Two hundred milligrams of petiole and midrib tissue from leaves apical to each graft union was collected, and DNA from each sample was extracted using the Qiagen DNeasy plant mini kit. DNA extracted from both lemon and pomelo leaves tested positive for Ca. L. asiaticus using real-time PCR (4). A 1,160-bp fragment of the 16S ribosomal RNA gene was amplified from the insect and plant DNA extracts using conventional PCR with primers Ol1 and OI2c (2). A 703-bp fragment of the β-operon gene was amplified from the insect and plant extracts with primers A2 and J5 (1). The 16S rDNA fragments from the insect and plant respectively (GenBank Accession Nos. JX430434 and JX455745) and the β-operon fragments (JX430435 and JX455746) showed 100% identity with the corresponding regions of Ca. L. asiaticus (CP001677) strain psy 62. Our 16S rDNA sequence showed 98% identity with Ca. L. africanus (EU921620), 97% identity with Ca. L. solanacearum (HM246509), and 96% with Ca. L. americanus (FJ036892). In response to the detection of HLB, a 241 km2 quarantine area around the detection site was established. Surveys for ACP and symptomatic host plants within the HLB quarantine area are ongoing. To date, there have been no additional positive detections. In the United States, HLB was first detected in Florida in 2005 (4) and in Texas in January of 2012 (3). To our knowledge, this is the first confirmed report of Ca. L. asiaticus associated with HLB in California. References: (1) A. Hocquellet et al. Mol. Cell. Probes 13:373, 1999. (2) S. Jagoueix et al. Mol. Cell. Probes 10:43, 1996. (3) M. Kunta et al. Phytopathology 102:S4.66, 2012. (4) W. Li et al. J. Microbiol. Methods 66:104, 2006.

Development and implementation of high-throughput SNP genotyping in barley

BACKGROUND

High density genetic maps of plants have, nearly without exception, made use of marker datasets containing missing or questionable genotype calls derived from a variety of genic and non-genic or anonymous markers, and been presented as a single linear order of genetic loci for each linkage group. The consequences of missing or erroneous data include falsely separated markers, expansion of cM distances and incorrect marker order. These imperfections are amplified in consensus maps and problematic when fine resolution is critical including comparative genome analyses and map-based cloning. Here we provide a new paradigm, a high-density consensus genetic map of barley based only on complete and error-free datasets and genic markers, represented accurately by graphs and approximately by a best-fit linear order, and supported by a readily available SNP genotyping resource.

RESULTS

Approximately 22,000 SNPs were identified from barley ESTs and sequenced amplicons; 4,596 of them were tested for performance in three pilot phase Illumina GoldenGate assays. Data from three barley doubled haploid mapping populations supported the production of an initial consensus map. Over 200 germplasm selections, principally European and US breeding material, were used to estimate minor allele frequency (MAF) for each SNP. We selected 3,072 of these tested SNPs based on technical performance, map location, MAF and biological interest to fill two 1536-SNP "production" assays (BOPA1 and BOPA2), which were made available to the barley genetics community. Data were added using BOPA1 from a fourth mapping population to yield a consensus map containing 2,943 SNP loci in 975 marker bins covering a genetic distance of 1099 cM.

CONCLUSION

The unprecedented density of genic markers and marker bins enabled a high resolution comparison of the genomes of barley and rice. Low recombination in pericentric regions is evident from bins containing many more than the average number of markers, meaning that a large number of genes are recombinationally locked into the genetic centromeric regions of several barley chromosomes. Examination of US breeding germplasm illustrated the usefulness of BOPA1 and BOPA2 in that they provide excellent marker density and sensitivity for detection of minor alleles in this genetically narrow material.

Development and implementation of high-throughput SNP genotyping in barley

BACKGROUND

High density genetic maps of plants have, nearly without exception, made use of marker datasets containing missing or questionable genotype calls derived from a variety of genic and non-genic or anonymous markers, and been presented as a single linear order of genetic loci for each linkage group. The consequences of missing or erroneous data include falsely separated markers, expansion of cM distances and incorrect marker order. These imperfections are amplified in consensus maps and problematic when fine resolution is critical including comparative genome analyses and map-based cloning. Here we provide a new paradigm, a high-density consensus genetic map of barley based only on complete and error-free datasets and genic markers, represented accurately by graphs and approximately by a best-fit linear order, and supported by a readily available SNP genotyping resource.

RESULTS

Approximately 22,000 SNPs were identified from barley ESTs and sequenced amplicons; 4,596 of them were tested for performance in three pilot phase Illumina GoldenGate assays. Data from three barley doubled haploid mapping populations supported the production of an initial consensus map. Over 200 germplasm selections, principally European and US breeding material, were used to estimate minor allele frequency (MAF) for each SNP. We selected 3,072 of these tested SNPs based on technical performance, map location, MAF and biological interest to fill two 1536-SNP "production" assays (BOPA1 and BOPA2), which were made available to the barley genetics community. Data were added using BOPA1 from a fourth mapping population to yield a consensus map containing 2,943 SNP loci in 975 marker bins covering a genetic distance of 1099 cM.

CONCLUSION

The unprecedented density of genic markers and marker bins enabled a high resolution comparison of the genomes of barley and rice. Low recombination in pericentric regions is evident from bins containing many more than the average number of markers, meaning that a large number of genes are recombinationally locked into the genetic centromeric regions of several barley chromosomes. Examination of US breeding germplasm illustrated the usefulness of BOPA1 and BOPA2 in that they provide excellent marker density and sensitivity for detection of minor alleles in this genetically narrow material.

An improved method to identify BAC clones using pooled overgos

Hybridization using overgo probes is an established approach for screening arrayed bacterial artificial chromosome (BAC) libraries. We have improved the use of overgos by increasing the yield of positive clones using reduced levels of radioisotopes and enzyme. The strategy involves labeling with all four radiolabeled nucleotides in a hot pulse followed by a cold nucleotide chase and then extending the exposure time to compensate for reduced specific activity of the probes. The resulting cost savings and reduced human exposure to radiation make the use of highly pooled overgo probes a more attractive approach for screening of BAC libraries from organisms with large genomes.

Genetic characterization of the polycotyledon locus in tomato

Developmental mutants serve as a useful material to unravel the mechanisms necessary for organ development. The polycotyledon (poc) mutant of tomato, with multiple cotyledons in the seedling and varied phenotypic effects in the adult plant is one such mutant. Studies using physiological and anatomical methods in our lab suggest that POC is involved in the negative regulation of polar auxin transport, which is likely the reason for the pleiotropic phenotype in the mutant. Because of the physiological significance of the polycotyledon mutant described in this paper and also being first of its kind in tomato and also other plant species, we are using a map-based cloning approach to map the polycotyledon gene. Molecular mapping of this locus using segregating interspecific F2 mapping population localized polycotyledon gene close to TG424 marker on the long arm of chromosome 9. The closest marker mapped was a PCR marker identified in this study, E8A2 at a distance of 7.4 cM from the poc locus. The absence of tightly linked RAPD markers and the non-availability of more mapped markers in this region led us to initiate chromosome walk to polycotyledon gene. Both the flanking markers TG248 and E8A2 were used to screen the BAC library and a contig was developed for TG248 marker. The BAC-end sequences were analyzed for their use as RFLP markers to enrich this region for markers. Analysis of the BAC-end sequences revealed that poc is localized in the region surrounded by copia-like retrotransposon elements explaining the absence of markers in the euchromatin region on long arm of chromosome 9. Further studies identified two BAC-end sequences which mapped around the poc locus and also indicated very low physical versus genetic distance ratio in this region. The double mutant analyses of poc with the other two known polycotyledon mutants of tomato, pct and dem revealed allelism with pct; therefore, the poc mutant was named as pct1-2, and also the original pct mutant was renamed as pct1-1.

OligoSpawn: a software tool for the design of overgo probes from large unigene datasets

BACKGROUND

Expressed sequence tag (EST) datasets represent perhaps the largest collection of genetic information. ESTs can be exploited in a variety of biological experiments and analysis. Here we are interested in the design of overlapping oligonucleotide (overgo) probes from large unigene (EST-contigs) datasets.

RESULTS

OLIGOSPAWN is a suite of software tools that offers two complementary services, namely (1) the selection of "unique" oligos each of which appears in one unigene but does not occur (exactly or approximately) in any other and (2) the selection of "popular" oligos each of which occurs (exactly or approximately) in as many unigenes as possible. In this paper, we describe the functionalities of OLIGOSPAWN and the computational methods it employs, and we report on experimental results for the overgo probes designed with it.

CONCLUSION

The algorithms we designed are highly efficient and capable of processing unigene datasets of sizes on the order of several tens of Mb in a few hours on a regular PC. The software has been used to design overgo probes employed to screen a barley BAC library (Hordeum vulgare). OLIGOSPAWN is freely available at http://oligospawn.ucr.edu/.