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Assessment of genome origins and genetic diversity in the genus Eleusine with DNA markers.

Finger millet (Eleusine coracana), an allotetraploid cereal, is widely cultivated in the arid and semiarid regions of the world. Three DNA marker techniques, restriction fragment length polymorphism (RFLP), randomly amplified polymorphic DNA (RAPD), and inter simple sequence repeat amplification (ISSR), were employed to analyze 22 accessions belonging to 5 species of Eleusine. An 8 probe--3 enzyme RFLP combination, 18 RAPD primers, and 6 ISSR primers, respectively, revealed 14, 10, and 26% polymorphism in 17 accessions of E. coracana from Africa and Asia. These results indicated a very low level of DNA sequence variability in the finger millets but did allow each line to be distinguished. The different Eleusine species could be easily identified by DNA marker technology and the 16% intraspecific polymorphism exhibited by the two analyzed accessions of E. floccifolia suggested a much higher level of diversity in this species than in E. coracana. Between species, E. coracana and E. indica shared the most markers, while E. indica and E. tristachya shared a considerable number of markers, indicating that these three species form a close genetic assemblage within the Eleusine. Eleusine floccifolia and E. compressa were found to be the most divergent among the species examined. Comparison of RFLP, RAPD, and ISSR technologies, in terms of the quantity and quality of data output, indicated that ISSRs are particularly promising for the analysis of plant genome diversity.

Base Sequence↗

Maize simple repetitive DNA sequences: abundance and allele variation.

Microsatellites or simple sequence repeats, first demonstrated in human and other mammalian genomes, are being identified in many plant species. A database survey of 576 maize sequences from the GenBank and EMBL databases was made to determine the abundance of maize microsatellites. Two hundred potential microsatellites were identified. The relative abundance of the different repetitive motifs varied considerably and all possible dinucleotide and trinucleotide motif types were found. The three most abundant classes of microsatellites identified in this search were (AG/CT)n, (CCT/GGA)n, and (CCG/GGC)n repeats. Allelic variation was surveyed with 9 maize inbred lines representing diverse pedigrees. Amplification of DNA from these lines and analysis using high resolution agarose gels showed that 69 of the 200 potential microsatellites were polymorphic and yielded 2-4 alleles. A more complete screen of these loci against a wider array of maize germplasm using denaturing sequencing gels is now being conducted to more thoroughly evaluate these loci.

Alleles↗

A codominant DNA marker closely linked to the rice nuclear restorer gene, RF-1, identified with inter-SSR fingerprinting.

A new molecular marker (OSRRf) closely linked to the nuclear restorer gene (Rf-1) for fertility in rice has been found. The Rf-1 gene is essential for hybrid rice seed production. A PCR-fingerprinting technique using simple sequence repeats (SSRs) was applied to compare two near-isogenic lines with (MTC-10R) or without (MTC-10A) the Rf-1 gene. Of 76 inter-SSR primers tested, only one primer, (AG)8YC, generated polymorphisms. The tetranucleotide repeats generating polymorphisms were found within each amplicon. the genetic distance between OSRRf and Rf-1 was 3.7 +/- 1.1 cM. As in the case of a codominant marker, this marker will be applied not only to breeding both restorer lines and maintainer lines, but also to the purity management of hybrid rice seeds.

Aldehyde Dehydrogenase↗

Characterisation and inheritance of polymorphic plastid microsatellites in Abies.

Two polymorphic microsatellite loci were identified and sequenced in the genus Abies, using primer pairs derived from chloroplast simple sequence repeats (SSRs) of Pinus thunbergii. PCR products exhibited considerable length variation among six different Abies species and within Abies alba. F1 progeny of both an interspecific and an intraspecific reciprocal cross confirmed that the two SSRs were predominantly paternally inherited. The maternal size variant predominantly occurred in the megagametophytes analysed. First analysis of the two chloroplast microsatellites in seven natural populations of A. alba revealed 36 different haplotypes. The use of these highly polymorphic SSRs as potential markers in population genetics is discussed.

Base Sequence↗

Use of microsatellite DNA markers to investigate the level of genetic diversity and population genetic structure of coconut (Cocos nucifera L.).

We have used eight pairs of simple sequence repeat (SSR) primers to analyse the genetic diversity in 130 individuals of coconut (Cocos nucifera L.) comprising 75 tall individuals and 55 dwarf individuals, representing 94 different coconut ecotypes throughout the world. A total of 51 alleles were detected, with an average of 6.4 alleles per locus. Fifty alleles were detected in tall coconuts (talls; mean alleles/locus 6.3) compared with only 26 (mean/locus 3.3) in dwarfs, and the average diversity value in talls (0.589) was also significantly higher than that in dwarfs (0.348). Using the eight SSRs we were able to uniquely discriminate 116 of the 130 individuals. A phenetic tree based on DAD (absolute distance) values clustered individuals into five groups, each mainly composed of either talls or dwarfs. These results provide evidence in support of previous hypotheses concerning the dissemination of coconut, as well as important new information for conservation and breeding purposes.

Cocos↗

Differential inspiratory timing is genetically linked to mouse chromosome 3.

Genetic control of differential inspiratory timing (TI) at baseline has been previously demonstrated among inbred mouse strains. The inheritance pattern for TI between C3H/HeJ (C3; 188 +/- 3 ms) and C57BL/6J (B6; 111 +/- 2 ms) progenitors was consistent with a two-gene model. By using the strain distribution pattern for recombinant inbred strains derived from C3 and B6 progenitors, 100% concordance was established between TI phenotypes and DNA markers on mouse chromosome 3. This genotype-phenotype hypothesis was tested by typing 52 B6C3F2 (F2) progeny by using simple sequence repeat DNA markers (n = 21) polymorphic between C3 and B6 strains on mouse chromosome 3. Linkage analysis compared marker genotypes to baseline ventilatory phenotypes by computing log-likelihood values. A putative quantitative trait locus located in proximity to D3Mit119 was significantly associated with baseline TI phenotypes. At the peak (log-likelihood = 3.3), the putative quantitative trait locus determined 25% of the phenotypic variance in TI among F2 progeny. In conclusion, this genetic model of ventilatory characteristics demonstrated an important linkage between differential baseline TI and a candidate genomic region on mouse chromosome 3.

Animals↗

Microsatellite variation associated with prolactin expression and growth of salt-challenged tilapia.

Biologists have long argued that runs of alternating purines and pyrimidines could form alternative DNA structures, which might regulate transcription. Here, we report that simple sequence repeat polymorphisms in the tilapia prolactin 1 (prl 1) promoter are associated with differences in prl 1 gene expression and the growth response of salt-challenged fishes. Individuals homozygous for long microsatellite alleles express less prl 1 in fresh water but more prl 1 in half-seawater than fishes with other genotypes. Our work provides the first in vivo evidence that differences in microsatellite length among individuals may indeed affect gene expression and that variance in expression has concomitant physiological consequences. These results suggest that dinucleotide microsatellites represent an under-appreciated source of genetic variation for regulatory evolution.

Animals↗

The angiotensin II receptor (Agtr1a): functional regulatory polymorphisms in a locus genetically linked to blood pressure variation in the mouse.

Hypertension is a complex trait with multiple genetic determinants. A previous genome-wide linkage study of systolic blood pressure in a mouse genetic backcross implicated a region of chromosome 13 (LOD = 3.3 at 16.0 cM) as a determinant of blood pressure differences between a hereditary low blood pressure strain of Mus musculus (BPL/1) and Mus spretus (SPRET); at this locus, the unexpected effect of the BPL/1 allele was to increase blood pressure. A plausible candidate locus encoding angiotensin II receptor isoform 1a (Agtr1a) is also located at 16.0 cM on chromosome 13. We therefore investigated structural and functional differences at Agtr1a between BPL/1 and SPRET, as well as the BPH/2 strain. Resequencing Agtr1a in the three strains established the exon/intron and proximal promoter structure of the mouse gene. Coding exon 3 spanned 1,960 bp (with 26 SNPs), including the 1,077-bp/359-amino acid ORF (with 5 cSNPs, all of which were synonymous). Promoter sequences revealed a consensus TATA box, conserved G/C-rich regions, and a striking, lengthy simple sequence repeat region, composed of di-, tri-, tetra-, and penta-nucleotide repeats, whose overall length varied markedly among the strains. Twenty-five other SNPs and three single nucleotide deletions differentiated the strains' promoters, six of which were in likely functional promoter motifs. Agtr1a mRNA abundance in the adrenal gland in vivo was greater (P < 0.05) in BPL/1 than SPRET, consistent with the predicted effect of the BPL/1 allele to confer higher blood pressure. When Agtr1a promoters were subcloned into luciferase reporter plasmids and transfected into PC12 chromaffin cells, basal promoter expression was higher (P < 0.001) in BPL/1 than in SPRET, consistent with the endogenous mRNA results. In summary, Agtr1a on chromosome 13 is highly polymorphic between mouse strains, although the amino acid sequence specified by the ORF is invariant, even across mouse species. We conclude that polymorphisms in the Agtr1a promoter account for differences in gene expression in vivo between BPL/1 and SPRET, in a way consistent with the effects of alleles at this locus on chromosome 13 to affect blood pressure in the mouse genome-wide linkage study.

Angiotensin II↗

MSI-testing in hereditary non-polyposis colorectal carcinoma (HNPCC).

Genomic instability at simple repeated sequences, termed microsatellite instability (MSI), plays an important role in the analysis of sporadic and hereditary colon cancers. In hereditary non-polyposis colorectal cancer syndrome (HNPCC) more than 90% of cases show MSI, whereas only 10-15% of sporadic colorectal cancers do so. Thus, microsatellite analysis is commonly used as the first diagnostic screening test for HNPCC. In 1997, an international collaborative workshop sponsored by the National Cancer Institute (NCI) proposed a set of guidelines for MSI-testing to improve reliability and reproducibility of the analysis as well to allow comparisons between different studies and different laboratories. In this review we assess the value of current protocols for MSI-testing and discuss some diagnostic pitfalls. Our findings support continued use of the MSI marker panel recommended in 1997. Additionally, MSI-testing should be improved by use of microdissection, which helps to identify additional patients with MSI due to enrichment of tumor cells and therefore increased sensitivity. In our view, immunohistochemical staining for mismatch repair protein expression is not a substitute for MSI-analysis but complements MSI screening and helps direct further testing. In summary, MSI-analysis is a highly sensitive and reliable screening method for HNPCC, that requires a well-equipped laboratory as well as an experienced pathologist. Integration of family history and histo-pathological features is also critical.

Adenoma↗

The genetics of systemic lupus erythematosus.

BACKGROUND: There is a genetic predisposition to human systemic lupus erythematosus (SLE). The genes that contribute to susceptibility are, for the most part, unknown. The introduction of new gene mapping techniques has opened the way to explore lupus genetics on a genome-wide basis. METHODS: Microsatellites are simple sequence repeats widely distributed throughout eukaryotic genomes. They exhibit length variation. This polymorphism can be exploited to provide a panoply of genome-wide markers. Thereby, loci linked with lupus have been mapped in lupus-prone mouse strains and in recently published studies in multi-case human families. RESULTS: More than 20 non-MHC (major histocompatibility complex) loci have now been linked with murine lupus. Nine non-MHC loci have been corroborated in human SLE. Some of the mouse intervals are syntenic with human loci raising the tantalizing possibility of common susceptibility genes. Although we await the results of formal gene identification, functional studies in back-cross and congenic analyses indicate that, in the mouse at least, disease genes act at multiple levels in disease development. CONCLUSIONS: A large number of genes are involved in the pathogenesis of SLE. The data also suggest that even the MHC contribution is multiple. Having mapped disease loci, geneticists now face the task of closing down on the actual aetiological alleles and demonstrating how they might operate. This undertaking will add significantly to our understanding of disease development.

Animals↗

Expression of HLA class II in colorectal cancer: evidence for enhanced immunogenicity of microsatellite-instability-positive tumours.

Microsatellite-instability-positive (MSI+) colorectal cancers are characterised by an accumulation of deletion and insertion mutations at simple repeated sequences caused by inactivation of mismatch repair proteins. They share several clinicopathological features, including a better prognosis and a pronounced stromal inflammatory reaction. We have used suppression subtraction hybridisation between normal colonic epithelium and paired carcinomas to generate differential gene expression profiles in MSI+ and MSI- tumours. Following reverse northern blotting analysis, 11 genes were found to be up-regulated in the MSI+ tumour, and one of these specified the HLA-DM gene. This was in contrast to the MSI(-) tumour screen, where none of the clones analysed expressed this class of gene. Our results confirm that MSI(+) tumours may have a greater potential for the efficient presentation of antigens to the helper arm of the immune system and lend further support to the theory that the better prognosis of patients with MSI+ tumours may be linked to an enhanced immunogenicity of these tumours.

Base Sequence↗

A link between repetitive sequences and gene replication time.

Genes display a wide range of replication times in S phase. In general, late replication is associated with transcriptionally repressive states and early replication with transcriptional competence. Rare examples of early-replicating repressive states have also been identified that are consistent with molecular evidence that repressive states are not all uniform in nature. Here we show that the replication times of over 4000 Drosophila genes correlate with the abundance of repetitive sequences in approximately 200-kb regions flanking the genes. In particular, Satellite-Related sequences (SRs) and the simple sequence repeats (SSRs) (CA)n and (ACTG)n were increasingly abundant in the regions flanking progressively later replicating genes, while (CATA)n repeats were more abundant around earlier replicating genes. These four sequences comprise less than 0.5% of the 'euchromatic genome' in Drosophila, yet they account for 5% of the variation of gene replication timing. Although the effect is not strong, it is broad: 99% of the genome is within the region of correlation of at least one of the above repeats. The role of SSRs and non-centromeric SRs in the genome is not known. We propose that SSRs and SRs foster transcriptionally repressive states throughout the genome in order to minimize spurious transcription.

Animals↗

Nine polymorphic markers characterized by polymerase chain reaction techniques form two linkage groups on rat chromosome 8.

Five genes and four anonymous polymorphic markers, forming two linkage groups, were mapped in F2 intercross progeny of F344/N x LEW/N rats using polymerase chain reaction (PCR) techniques. Both linkage groups were assigned to rat chromosome 8 because they contained genetic loci previously mapped to this chromosome. The first group was comprised of markers for three anonymous loci and two gene loci, thymus cell antigen-1 (Thy1) and tropoelastin (Eln). The second group was comprised of markers for one anonymous locus and three gene loci, cellular retinol binding protein II (Rbp2), matrin F/G (Matr1), and acyl-peptide hydrolase (Apeh). Seven markers (identified by simple sequence repeat associated length polymorphisms) were characterized in an additional 13 inbred rat strains (ACI/N, BN/SsN, BUF/N, LER/N, LOU/MN, MNR/N, MR/N, SHR/N, SR/Jr, SS/Jr, WBB1/N, WBB2/N, and WKY/N). Two to six alleles were detected for each marker. The reported markers should facilitate genetic mapping and monitoring of inbred rat strains.

Alleles↗

Cloning, characterization, and genetic mapping of the rat type 2 angiotensin II receptor gene.

The renin-angiotensin system plays an important role in blood pressure homeostasis, but the contribution of the type 2 angiotensin II receptor (AT2R) is still unclear. The reports that the AT2R gene has been mapped to the X chromosome in human and rat and the previous report of a gene, Bp3, on the X chromosome responsible for an increase in blood pressure have suggested that the rat AT2R gene (Agtr2) could be this gene. To elucidate whether Agtr2 is Bp3, Agtr2 was cloned. A simple sequence repeat in the 3'-flanking region of this gene was identified and used as a genetic marker to map Agtr2 to the X chromosome at 18.1 cM distal to the androgen receptor locus. This map position is outside the confidence interval reported for Bp3, demonstrating that Agtr2 cannot be Bp3. However, these data will enhance the research into the AT2R biology as well as the study of the X chromosome.

Alleles↗

Quantitative trait locus mapping of human blood pressure to a genetic region at or near the lipoprotein lipase gene locus on chromosome 8p22.

Resistance to insulin-mediated glucose disposal is a common finding in patients with non-insulin-dependent diabetes mellitus (NIDDM), as well as in nondiabetic individuals with hypertension. In an effort to identify the generic loci responsible for variations in blood pressure in individuals at increased risk of insulin resistance, we studied the distribution of blood pressure in 48 Taiwanese families with NIDDM and conducted quantitative sib-pair linkage analysis with candidate loci for insulin resistance, lipid metabolism, and blood pressure control. We found no evidence for linkage of the angiotensin converting enzyme locus on chromosome 17, nor the angiotensinogen and renin loci on chromosome 1, with either systolic or diastolic blood pressures. In contrast, we obtained significant evidence for linkage or systolic blood pressure, but not diastolic blood pressure, to a genetic region at or near the lipoprotein lipase (LPL) locus on the short arm of chromosome 8 (P = 0.002, n = 125 sib-pairs, for the haplotype generated from two simple sequence repeat markers within the LPL gene). Further strengthening this linkage observation, two flanking marker loci for LPL locus, D8S261 (9 cM telomeric to LPL locus) and D8S282 (3 cM centromeric to LPL locus), also showed evidence for linkage with systolic blood pressure (P = 0.02 and 0.0002 for D8S261 and D8S282, respectively). Two additional centromeric markers (D8S133, 5 cM from LPL locus, and NEFL, 11 cM from LPL locus) yielded significant P values of 0.01 and 0.001, respectively. Allelic variation around the LPL gene locus accounted for as much as 52-73% of the total interindividual variation in systolic blood pressure levels in this data set. Thus, we have identified a genetic locus at or near the LPL gene locus which contributes to the variation of systolic blood pressure levels in nondiabetic family members at high risk for insulin resistance and NIDDM.

Adult↗

GDR (Genome Database for Rosaceae): integrated web resources for Rosaceae genomics and genetics research.

BACKGROUND: Peach is being developed as a model organism for Rosaceae, an economically important family that includes fruits and ornamental plants such as apple, pear, strawberry, cherry, almond and rose. The genomics and genetics data of peach can play a significant role in the gene discovery and the genetic understanding of related species. The effective utilization of these peach resources, however, requires the development of an integrated and centralized database with associated analysis tools. DESCRIPTION: The Genome Database for Rosaceae (GDR) is a curated and integrated web-based relational database. GDR contains comprehensive data of the genetically anchored peach physical map, an annotated peach EST database, Rosaceae maps and markers and all publicly available Rosaceae sequences. Annotations of ESTs include contig assembly, putative function, simple sequence repeats, and anchored position to the peach physical map where applicable. Our integrated map viewer provides graphical interface to the genetic, transcriptome and physical mapping information. ESTs, BACs and markers can be queried by various categories and the search result sites are linked to the integrated map viewer or to the WebFPC physical map sites. In addition to browsing and querying the database, users can compare their sequences with the annotated GDR sequences via a dedicated sequence similarity server running either the BLAST or FASTA algorithm. To demonstrate the utility of the integrated and fully annotated database and analysis tools, we describe a case study where we anchored Rosaceae sequences to the peach physical and genetic map by sequence similarity. CONCLUSIONS: The GDR has been initiated to meet the major deficiency in Rosaceae genomics and genetics research, namely a centralized web database and bioinformatics tools for data storage, analysis and exchange. GDR can be accessed at http://www.genome.clemson.edu/gdr/.

Computer Graphics↗

Sequence signature analysis of chromosome identity in three Drosophila species.

BACKGROUND: All eukaryotic organisms need to distinguish each of their chromosomes. A few protein complexes have been described that recognise entire, specific chromosomes, for instance dosage compensation complexes and the recently discovered autosome-specific Painting of Fourth (POF) protein in Drosophila. However, no sequences have been found that are chromosome-specific and distributed over the entire length of the respective chromosome. Here, we present a new, unbiased, exhaustive computational method that was used to probe three Drosophila genomes for chromosome-specific sequences. RESULTS: By combining genome annotations and cytological data with multivariate statistics related to three Drosophila genomes we found sequence signatures that distinguish Muller's F-elements (chromosome 4 in D. melanogaster) from all other chromosomes in Drosophila that are not attributable to differences in nucleotide composition, simple sequence repeats or repeated elements. Based on these signatures we identified complex motifs that are strongly overrepresented in the F-elements and found indications that the D. melanogaster motif may be involved in POF-binding to the F-element. In addition, the X-chromosomes of D. melanogaster and D. yakuba can be distinguished from the other chromosomes, albeit to a lesser extent. Surprisingly, the conservation of the F-element sequence signatures extends not only between species separated by approximately 55 Myr, but also linearly along the sequenced part of the F-elements. CONCLUSION: Our results suggest that chromosome-distinguishing features are not exclusive to the sex chromosomes, but are also present on at least one autosome (the F-element) in Drosophila.

Animals↗

SNP-PHAGE--High throughput SNP discovery pipeline.

BACKGROUND: Single nucleotide polymorphisms (SNPs) as defined here are single base sequence changes or short insertion/deletions between or within individuals of a given species. As a result of their abundance and the availability of high throughput analysis technologies SNP markers have begun to replace other traditional markers such as restriction fragment length polymorphisms (RFLPs), amplified fragment length polymorphisms (AFLPs) and simple sequence repeats (SSRs or microsatellite) markers for fine mapping and association studies in several species. For SNP discovery from chromatogram data, several bioinformatics programs have to be combined to generate an analysis pipeline. Results have to be stored in a relational database to facilitate interrogation through queries or to generate data for further analyses such as determination of linkage disequilibrium and identification of common haplotypes. Although these tasks are routinely performed by several groups, an integrated open source SNP discovery pipeline that can be easily adapted by new groups interested in SNP marker development is currently unavailable. RESULTS: We developed SNP-PHAGE (SNP discovery Pipeline with additional features for identification of common haplotypes within a sequence tagged site (Haplotype Analysis) and GenBank (-dbSNP) submissions. This tool was applied for analyzing sequence traces from diverse soybean genotypes to discover over 10,000 SNPs. This package was developed on UNIX/Linux platform, written in Perl and uses a MySQL database. Scripts to generate a user-friendly web interface are also provided with common queries for preliminary data analysis. A machine learning tool developed by this group for increasing the efficiency of SNP discovery is integrated as a part of this package as an optional feature. The SNP-PHAGE package is being made available open source at http://bfgl.anri.barc.usda.gov/ML/snp-phage/. CONCLUSION: SNP-PHAGE provides a bioinformatics solution for high throughput SNP discovery, identification of common haplotypes within an amplicon, and GenBank (dbSNP) submissions. SNP selection and visualization are aided through a user-friendly web interface. This tool is useful for analyzing sequence tagged sites (STSs) of genomic sequences, and this software can serve as a starting point for groups interested in developing SNP markers.

Base Sequence↗