Explore the vast range of titles available.

Chromosome conformation capture carbon copy (5C) is used to look at the relationships between functional elements and distal target genes in 1% of the human genome in three dimensions; the study describes numerous long-range interactions between promoters and distal sites that include elements resembling enhancers, promoters and CTCF-bound sites, their genomic distribution and complex interactions. The vast non-coding portion of the human genome is full of functional elements and disease-causing regulatory variants. The principles defining the relationships between these elements and distal target genes remain unknown. Promoters and distal elements can engage in looping interactions that have been implicated in gene regulation 1 . Here we have applied chromosome conformation capture carbon copy (5C 2 ) to interrogate comprehensively interactions between transcription start sites (TSSs) and distal elements in 1% of the human genome representing the ENCODE pilot project regions 3 . 5C maps were generated for GM12878, K562 and HeLa-S3 cells and results were integrated with data from the ENCODE consortium 4 . In each cell line we discovered >1,000 long-range interactions between promoters and distal sites that include elements resembling enhancers, promoters and CTCF-bound sites. We observed significant correlations between gene expression, promoter–enhancer interactions and the presence of enhancer RNAs. Long-range interactions show marked asymmetry with a bias for interactions with elements located ∼120 kilobases upstream of the TSS. Long-range interactions are often not blocked by sites bound by CTCF and cohesin, indicating that many of these sites do not demarcate physically insulated gene domains. Furthermore, only ∼7% of looping interactions are with the nearest gene, indicating that genomic proximity is not a simple predictor for long-range interactions. Finally, promoters and distal elements are engaged in multiple long-range interactions to form complex networks. Our results start to place genes and regulatory elements in three-dimensional context, revealing their functional relationships.

Simple sequence repeat (SSR) genetic markers, also referred to as microsatellites, function in map-based cloning and for marker-assisted selection in plant breeding. The objectives of this study were to determine the abundance of SSRs in the soybean genome and to develop and test soybean SSR markers to create a database of locus-specific markers with a high likelihood of polymorphism. A total of 210,990 SSRs with di-, tri-, and tetranucleotide repeats of five or more were identified in the soybean whole genome sequence (WGS) which included 61,458 SSRs consisting of repeat units of di- (≥10), tri- (≥8), and tetranucleotide (≥7). Among the 61,458 SSRs, (AT)n, (ATT)n and (AAAT)n were the most abundant motifs among di-, tri-, and tetranucleotide SSRs, respectively. After screening for a number of factors including locus-specificity using e-PCR, a soybean SSR database (BARCSOYSSR_1.0) with the genome position and primer sequences for 33,065 SSRs was created. To examine the likelihood that primers in the database would function to amplify locus-specific polymorphic products, 1034 primer sets were evaluated by amplifying DNAs of seven diverse Glycine max (L.) Merr. and one wild soybean (Glycine soja Siebold & Zucc.) genotypes. A total of 978 (94.6%) of the primer sets amplified a single polymerase chain reaction (PCR) product and 798 (77.2%) amplified polymorphic amplicons as determined by 4.5% agarose gel electrophoresis. The BARCSOYSSR1.0 SSR markers can be found in SoyBase (http://soybase.org; verified 21 June 2010) the USDA-ARS Soybean Genome Database.

A total of 150 microsatellite markers developed for common bean ( Phaseolus vulgaris L.) were tested for parental polymorphism and used to determine the positions of 100 genetic loci on an integrated genetic map of the species. The value of these single-copy markers was evident in their ability to link two existing RFLP-based genetic maps with a base map developed for the Mesoamerican x Andean population, DOR364 x G19833. Two types of microsatellites were mapped, based respectively on gene-coding and anonymous genomic-sequences. Gene-based microsatellites proved to be less polymorphic (46.3%) than anonymous genomic microsatellites (64.3%) between the parents of two inter-genepool crosses. The majority of the microsatellites produced single bands and detected single loci, however four of the gene-based and three of the genomic microsatellites produced consistent double or multiple banding patterns and detected more than one locus. Microsatellite loci were found on each of the 11 chromosomes of common bean, the number per chromosome ranging from 5 to 17 with an average of ten microsatellites each. Total map length for the base map was 1,720 cM and the average chromosome length was 156.4 cM, with an average distance between microsatellite loci of 19.5 cM. The development of new microsatellites from sequences in the Genbank database and the implication of these results for genetic mapping, quantitative trait locus analysis and marker-assisted selection in common bean are described.

We analyzed 6,749 lines tagged by the gene trap vector pGA2707. This resulted in the isolation of 3,793 genomic sequences flanking the T-DNA. Among the insertions, 1,846 T-DNAs were integrated into genic regions, and 1,864 were located in intergenic regions. Frequencies were also higher at the beginning and end of the coding regions and upstream near the ATG start codon. The overall GC content at the insertion sites was close to that measured from the entire rice (Oryza sativa) genome. Functional classification of these 1,846 tagged genes showed a distribution similar to that observed for all the genes in the rice chromosomes. This indicates that T-DNA insertion is not biased toward a particular class of genes. There were 764, 327, and 346 T-DNA insertions in chromosomes 1, 4 and 10, respectively. Insertions were not evenly distributed; frequencies were higher at the ends of the chromosomes and lower near the centromere. At certain sites, the frequency was higher than in the surrounding regions. This sequence database will be valuable in identifying knockout mutants for elucidating gene function in rice. This resource is available to the scientific community at http://www.postech.ac.kr/life/pfg/risd.

To elucidate the roles of the isogenes encoding starch synthase (EC 2.4.1.21) in rice (Oryza sativa L.), a comprehensive expression analysis of the gene family was conducted. Extensive searches for starch synthase genes were done in the databases of both the whole genome and full-length cDNAs of rice, and ten genes were revealed to comprise the starch synthase gene family. Multi-sequence alignment analysis of the starch synthase proteins from rice and other plant species suggested that they were grouped into five classes, soluble starch synthase I (SSI), SSII, SSIII, SSIV and granule-bound starch synthase (GBSS). In rice, there was one gene for SSI, three for SSII and two each for SSIII, IV and GBSS. The expression pattern of the ten genes in the developing caryopsis was examined by semi-quantitative RT-PCR analysis. Based on the temporal expression patterns, the ten genes could be divided into three groups: (i) early expressers (SSII-2, III-1, GBSSII), which are expressed in the early stage of grain filling; (ii) late expressers (SSII-3, III-2, GBSSI), which are expressed in the mid to later stage of grain filling; and (iii) steady expressers (SSI, II-1, IV-1, IV-2), which are expressed relatively constantly during grain filling. Within a caryopsis, the three gene groups spatially share their expression, i.e. \"early expressers\" in the pericarp, the \"late expressers\" in the endosperm\" and the \"steady expressers\" in both tissues. In addition, this grouping was reflected in the expression pattern of various rice tissues: expression in non-endosperm, endosperm or all tissues examined. The implications in this spatio-temporal work sharing of starch synthesis isogenes are discussed.

Molecular markers are essential in plant and animal breeding and biodiversity applications, in human forensics, and for map-based cloning of genes. The long terminal repeat (LTR) retrotransposons are well suited as molecular markers. As dispersed and ubiquitous transposable elements, their “copy and paste” life cycle of replicative transposition leads to new genome insertions without excision of the original element. Both the overall structure of retrotransposons and the domains responsible for the various phases of their replication are highly conserved in all eukaryotes. Nevertheless, up to a year has been required to develop a retrotransposon marker system in a new species, involving cloning and sequencing steps as well as the development of custom primers. Here, we describe a novel PCR-based method useful both as a marker system in its own right and for the rapid isolation of retrotransposon termini and full-length elements, making it ideal for “orphan crops” and other species with underdeveloped marker systems. The method, iPBS amplification, is based on the virtually universal presence of a tRNA complement as a reverse transcriptase primer binding site (PBS) in LTR retrotransposons. The method differs from earlier retrotransposon isolation methods because it is applicable not only to endogenous retroviruses and retroviruses, but also to both Gypsy and Copia LTR retrotransposons, as well as to non-autonomous LARD and TRIM elements, throughout the plant kingdom and to animals. Furthermore, the inter-PBS amplification technique as such has proved to be a powerful DNA fingerprinting technology without the need for prior sequence knowledge.

It is important to couple phenotypic analysis with genetic diversity for germplasm conservation in gene bank collections. The use of molecular markers supports the study of genetic marker-trait associations of biological and agronomic interest on diverse genetic material. In this report, 19 Greek traditional sweet cherry cultivars and two international cultivars, which were used as controls, were grown in Greece and characterized for 17 morpho-physiological traits, 15 simple sequence repeat (SSR) loci and 10 inter simple sequence repeat (ISSR) markers. To our knowledge, this is the first report on molecular genetic diversity studies in sweet cherry in Greece. Principal component analysis (PCA) of nine qualitative and eight quantitative morphological parameters explain over 77.33% of total variability in the first five axes. The SSR markers yielded a combined matching probability ratio (MPR) of 9.569 × e−12. The 15 SSR loci produced a total of 92 alleles. Ten ISSR primers generated 91 bands, with an average of 9.1 bands per primer. Expected heterozygosity (gene diversity) values of 15 SSR loci and 10 ISSR markers averaged at 0.683 and 0.369, respectively. Based on stepwise multiple regression analysis (MRA), SSR alleles were found associated with harvest time and fruit polar diameter. Furthermore, three ISSR markers were correlated with fruit harvest and soluble solids and four ISSR markers were correlated with fruit skin color. Stepwise MRA identified six SSR alleles associated with harvest time with a high correlation ( P  < 0.001), with linear associations with high F values. Hence, data analyzed by the use of MRA could be useful in marker-assisted breeding programs when no other genetic information is available.

Inoculation of crop plants by non-native strains of arbuscular mycorrhizal (AM) fungi as bio-enhancers is promoted without clear evidence for symbiotic effectiveness and fungal persistence. To address such gaps, the forage legume Medicago sativa was inoculated in an agronomic field trial with two isolates of Funneliformis mosseae differing in their nuclear rDNA sequences from native strains. The inoculants were traced by PCR with a novel combination of the universal fungal NS31 and Glomeromycota-specific LSUGlom1 primers which target the nuclear rDNA cistron. The amplicons were classified by restriction fragment length polymorphism and sequencing. The two applied fungal inoculants were successfully traced and discriminated from native strains in roots sampled from the field up to 2 yr post inoculation. Moreover, field inoculation with inocula of non-native isolates of F. mosseae appeared to have stimulated root colonization and yield of M. sativa. Proof of inoculation success and sustained positive effects on biomass production and quality of M. sativa crop plants hold promise for the role that AM fungal inoculants could play in agriculture.

Chromatin kept in the loop In mammalian cells, the genome undergoes one round of replication per cell cycle. Many origins of replication are never fired, but they serve as a reservoir to be activated if part of the genome is in danger of not being replicated — when progression of a replication fork stalls, for example. Courbet et al . show that latent origins can also be activated by slowing of replication fork progression, and this influences the size of the chromatin loop. In addition, they find that origins located nearby the attachment point of chromatin loops to the nuclear matrix are preferentially activated in the next cell cycle. Genome stability requires one, and only one, DNA duplication at each S phase. The mechanisms preventing origin firing on newly replicated DNA are well documented 1 , but much less is known about the mechanisms controlling the spacing of initiation events 2,3 , namely the completion of DNA replication. Here we show that origin use in Chinese hamster cells depends on both the movement of the replication forks and the organization of chromatin loops. We found that slowing the replication speed triggers the recruitment of latent origins within minutes, allowing the completion of S phase in a timely fashion. When slowly replicating cells are shifted to conditions of fast fork progression, although the decrease in the overall number of active origins occurs within 2 h, the cells still have to go through a complete cell cycle before the efficiency specific to each origin is restored. We observed a strict correlation between replication speed during a given S phase and the size of chromatin loops in the next G1 phase. Furthermore, we found that origins located at or near sites of anchorage of chromatin loops in G1 are activated preferentially in the following S phase. These data suggest a mechanism of origin programming in which replication speed determines the spacing of anchorage regions of chromatin loops, that, in turn, controls the choice of initiation sites.

Black rot and bacterial spots threaten the cultivation of cruciferous vegetables worldwide, and the development of a method that can easily detect, identify, and distinguish their respective pathogens Xanthomonas campestris pv. campestris (Xcc) and X. campestris pv. raphani (Xcr) is required. Multiple whole-genome sequences of Xcc and Xcr were aligned to identify specific regions and subsequently design gene markers. A region present in Xcr, but absent in Xcc, was detected, which was approximately 11.5 kbp in length, sandwiched between the serine protease homolog (SPH) and nicotinate phosphoribosyltransferase gene (pncB). It contained putative cellulose synthesis-related genes, whereas Xcc only had a modified cellulose synthase gene. Designed primers were pncB_fw1 and pncB_fw2 (from the pncB gene), Xcc_rv1 and Xcc_rv2 (from the modified cellulose synthesis gene), and Xcr_rv1 and Xcr_rv2 (from the putative first and second open reading frames of the gene cluster). PCR using pncB_fw1 and Xcc_rv1, or pncB_fw2 and Xcc_rv2, amplified DNA fragments only in Xcc and X. campestris pv. incanae (Xci). Xci is the causal agent of black rot of garden stock and closely related to Xcc. PCR using pncB_fw1 and Xcr_rv1, or pncB_2 and Xcr_rv2, amplified DNA fragments only in Xcr. Multiplex PCR analysis easily distinguished Xcc and Xcr from bacterial colonies isolated on growth media and detected the pathogen in symptomatic leaves. Multiplex nested PCR detected the contamination of one seed with Xcc and/or Xcr infection from 1000 seeds. Therefore, the PCR primers designed in this study therefore helped detect and discriminate between Xcc and Xcr.Key points• Xanthomonas campestrispv.campestris(Xcc)andpv.raphani(Xcr)were investigated.• Novel primers were designed following whole-genome comparison analyses.• Multiplex PCR with new primers distinguished Xcc and Xcr simultaneously.