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M Bellgard

Publications and source records attributed to M Bellgard.

9 recordsLinked to original sources
PubMed2006

LegumeDB1 bioinformatics resource: comparative genomic analysis and novel cross-genera marker identification in lupin and pasture legume species.

The identification of markers in legume pasture crops, which can be associated with traits such as protein and lipid production, disease resistance, and reduced pod shattering, is generally accepted as an important strategy for improving the agronomic performance of these crops. It has been demonstrated that many quantitative trait loci (QTLs) identified in one species can be found in other plant species. Detailed legume comparative genomic analyses can characterize the genome organization between model legume species (e.g., Medicago truncatula, Lotus japonicus) and economically important crops such as soybean (Glycine max), pea (Pisum sativum), chickpea (Cicer arietinum), and lupin (Lupinus angustifolius), thereby identifying candidate gene markers that can be used to track QTLs in lupin and pasture legume breeding. LegumeDB is a Web-based bioinformatics resource for legume researchers. LegumeDB analysis of Medicago truncatula expressed sequence tags (ESTs) has identified novel simple sequence repeat (SSR) markers (16 tested), some of which have been putatively linked to symbiosome membrane proteins in root nodules and cell-wall proteins important in plant-pathogen defence mechanisms. These novel markers by preliminary PCR assays have been detected in Medicago truncatula and detected in at least one other legume species, Lotus japonicus, Glycine max, Cicer arietinum, and (or) Lupinus angustifolius (15/16 tested). Ongoing research has validated some of these markers to map them in a range of legume species that can then be used to compile composite genetic and physical maps. In this paper, we outline the features and capabilities of LegumeDB as an interactive application that provides legume genetic and physical comparative maps, and the efficient feature identification and annotation of the vast tracks of model legume sequences for convenient data integration and visualization. LegumeDB has been used to identify potential novel cross-genera polymorphic legume markers that map to agronomic traits, supporting the accelerated identification of molecular genetic factors underpinning important agronomic attributes in lupin.

Chromosome Mapping↗
PubMed2005

Polymorphic Alu insertions and their associations with MHC class I alleles and haplotypes in the northeastern Thais.

Polymorphic Alu insertions (POALINs) are known to contribute to the strong polymorphic nature of the Major Histocompatibility Complex (MHC). Previous population studies on MHC POALINs were limited to only Australian Caucasians and Japanese. Here, we report on the individual insertion frequency of the five POALINs within the MHC class I region, their HLA-A and -B associations, and the three and four locus alpha block POALIN haplotype frequencies in the Northeastern (NE) Thai population. Of the five POALINs, the lowest frequency was 0.018 for AluyHF and the highest frequency was 0.292 for AluyHJ and AluyHG. The strongest positive associations between the POALINs and HLA class I alleles was between AluyMICB and HLA-B*57, AluyHJ and HLA-A*24 and HLA-A*01, and AluyHG and HLA-A*02, supporting previous findings in Caucasians and Japanese. Single POALIN haplotypes were found more frequently than multiple POALIN haplotypes. However, of the seven different POALIN haplotypes within the MHC alpha block, there were only two significant differences between the NE Thais, Caucasians and Japanese. This study confirms that the MHC POALINs are in linkage disequilibrium with HLA-A and -B alleles and that there are significant frequency differences for some of the POALINs when compared between NE Thai, Caucasians and Japanese.

Alu Elements↗
PubMed2004

The bioinformatics challenges in comparative analysis of cereal genomes-an overview.

Comparative genomic analysis is the cornerstone of in silico-based approaches to understanding biological systems and processes across cereal species, such as rice, wheat and barley, in order to identify genes of agronomic interest. The size of the genomic repositories is nearly doubling every year, and this has significant implications on the way bioinformatics analyses are carried out. In this overview the concepts and technology underpinning bioinformatics as applied to comparative genomic analysis are considered in the context of other manuscripts appearing in this issue of Functional and Integrative Genomics.

Computational Biology↗
PubMed1999

Structure and polymorphism of two stress-activated protein kinase genes centromeric of the MHC: SAPK2a and SAPK4.

As MHC genes are potent determinants of susceptibility to immunopathological diseases, the mapping of SAPK2a (CSBP) and SAPK4 to chromosome 6p 21.2-21.3 suggested that these genes may mediate the effects of the MHC on disease. Here we describe the genomic structure and localisation of both genes approximately 2.3Mb centromeric of HLA-DP. Examination of the complete coding region and selected intronic regions of SAPK2a and SAPK4 from 22 human EBV-transformed B-cell lines of different MHC haplotypes and racial background revealed complete sequence conservation. There were no notable differences in levels of expression of SAPK2a and SAPK4 mRNA in cell lines of different MHC haplotypes or racial origin. Examination of the SAPK2a and SAPK4 sequences from two chimpanzees revealed 3 nucleotide differences between human and chimpanzee in each gene resulting in only one amino acid change in SAPK4, and 6 nucleotide substitutions plus 2 deletions in 600bp of intronic sequence from SAPK4. This highlights the selective pressure placed on these genes to maintain their protein sequence, but does not favour a role in genetic regulation of disease or provide evidence of linkage disequilibrium with the MHC.

Amino Acid Sequence↗
PubMed1997

The evolution of MHC diversity by segmental duplication and transposition of retroelements.

Sequence analysis of a 237 kb genomic fragment from the central region of the MHC has revealed that the HLA-B and HLA-C genes are contained within duplicated segments peri-B (53 kb) and peri-C (48 kb), respectively, and separated by an intervening sequence (IF) of 30 kb. The peri-B and peri-C segments share at least 90% sequence homology except when interrupted by insertions/deletions including Alu, L1, an endogenous retrovirus, and pseudogenes. The sequences of peri-B, IF, and peri-C were searched for the presence of Alu elements to use as markers of evolution, chromosomal rearrangements, and polymorphism. Of 29 Alu elements, 14 were identified in peri-B, 11 in peri-C, and 4 in IF. The Alu elements in peri-B and peri-C clustered phylogenetically into two clades which were classified as "preduplication" and "postduplication" clades. Four Alu J elements that are shared by peri-B and peri-C and are flanked by homologous sequences in their paralogous locations, respectively, clustered into a "preduplication" clade. By contrast, the majority of Alu elements, which are unique to either peri-B or peri-C, clustered into a postduplication clade together with the Alu consensus subfamily members ranging from platyrrhine-specific (Spqxcg) to catarrhine-specific Alu sequences (Y). The insertion of platyrrhine-specific Alu elements in postduplication locations of peri-B and peri-C implies that these two segments are the products of a duplication which occurred in primates prior to the divergence of the New World primate from the human lineage (35-44 mya). Examination of the paralogous Alu integration sites revealed that 9 of 14 postduplication Alu sequences have produced microsatellites of different length and sequence within the Alu 3'-poly A tail. The present analysis supports the hypothesis that HLA-B and HLA-C genes are products of an extended segmental duplication between 44 and 81 million years ago (mya), and that subsequent diversification of both genomic segments occurred because of the mobility and mutation of retroelements such as Alu repeats.

Amino Acid Sequence↗
PubMedDate not supplied

Early detection of G + C differences in bacterial species inferred from the comparative analysis of the two completely sequenced Helicobacter pylori strains.

Identifying the G + C difference between closely related bacterial species or between different strains of the same species is one of the first steps in understanding the evolutionary mechanisms accounting for the differences observed among bacterial species. The G + C content can be one of the most important factors in the evolution of genomic structures. In this paper, we describe a new method for detecting an initial stage of differentiation of the G + C content at the third codon base position between two strains of the same bacterial species. We apply this method to the two strains of Helicobacter pylori. A group of genes is detected with large variations of G + C in the third positions-apparently genes of early response to pressures of changing G + C. We discuss our findings from the viewpoint of genomic evolution.

Bacteria↗