Standardization and application of microsatellite markers for variety identification in tomato and wheat

The present study is part of a EU project that aims to demonstrate the technical viability of STMS markers for variety identification. As examples two important European crop species, tomato and wheat were chosen. Initially, about 30-40 STMS markers were used to identify a set of 20 good markers per crop and to standardise the methodology and the interpretation of the results in different laboratories. Several systems were used for the detection of STMS polymorphisms. The selected STMS markers are being tested on 500 varieties of each species and databases are being constructed. The first comparisons of data generated by the different laboratories revealed a high degree of agreement. The causes of discrepancies between duplicate samples analysed in different laboratories and precautions to prevent them, are discussed

Review of the initial validation and characterization of a chicken 3K SNP array.

In 2004 the chicken genome sequence and more than 2.8 million single nucleotide polymorphisms (SNPs) were reported. This information greatly enhanced the ability of poultry scientists to understand chicken biology, especially with respect to identification of quantitative trait loci (QTL) and genes that control simple and complex traits. To validate and address the quality of the reported SNPs, assays for 3072 SNPS were developed and used to genotype 2576 DNAs isolated from commercial and experimental birds. Over 90% of the SNPs were valid based on the criterion used for segregating, and over 88% had a minor allele frequency of 2% or greater. As the East Lansing (EL) and Wageningen University (WAU) reference panels were genotyped, 1933 SNPs were added to the chicken genetic map, which was used in the second chicken genome sequence assembly. It was also discovered that linkage disequilibrium varied considerably between commercial layers and broilers; with the latter having haplotype blocks averaging 10 to 50 kb in size. Finally, it was estimated that commercial lines have lost 70% or more of their genetic diversity, with the majority of allele loss attributable to the limited number of chicken breeds used

Human leukocyte antigen (HLA) class I frequencies in human T-cell lymphotropic virus type 1 (HTLV-1)-infected patients from Salvador-Brazil

Submitted by Ana Maria Fiscina Sampaio ([email protected]) on 2017-06-19T16:50:26Z No. of bitstreams: 1 Olavarria VN Human leukocyte....pdf: 206537 bytes, checksum: 27a5689e5759f077c984c154143b088e (MD5)Approved for entry into archive by Ana Maria Fiscina Sampaio ([email protected]) on 2017-06-19T17:12:32Z (GMT) No. of bitstreams: 1 Olavarria VN Human leukocyte....pdf: 206537 bytes, checksum: 27a5689e5759f077c984c154143b088e (MD5)Made available in DSpace on 2017-06-19T17:12:32Z (GMT). No. of bitstreams: 1 Olavarria VN Human leukocyte....pdf: 206537 bytes, checksum: 27a5689e5759f077c984c154143b088e (MD5) Previous issue date: 2011Escola Bahiana de Medicina e Saúde Pública. Salvador, BA, BrasilEscola Bahiana de Medicina e Saúde Pública. Salvador, BA, Brasil / Fundação Oswaldo Cruz. Centro de Pesquisas Gonçalo Moniz. Laboratório Avançado de Saúde Pública. Salvador, BA, BrasilEscola Bahiana de Medicina e Saúde Pública. Salvador, BA, BrasilNational Cancer Institute. Laboratory of Genomic Diversity. SAIC-Frederick, Inc. Frederick, Maryland, USAEscola Bahiana de Medicina e Saúde Pública. Salvador, BA, BrasilUniversity of Wisconsin–Madison. Wisconsin National Primate Center. Madison, Wisconsin, USANational Cancer Institute. Laboratory of Genomic Diversity. SAIC-Frederick, Inc. Frederick, Maryland, USAEscola Bahiana de Medicina e Saúde Pública. Salvador, BA, Brasil / Fundação Oswaldo Cruz. Centro de Pesquisas Gonçalo Moniz. Laboratório Avançado de Saúde Pública. Salvador, BA, Brasi

Novel Methanotrophs of the Family Methylococcaceae from Different Geographical Regions and Habitats

Terrestrial methane seeps and rice paddy fields are important ecosystems in the methane cycle. Methanotrophic bacteria in these ecosystems play a key role in reducing methane emission into the atmosphere. Here, we describe three novel methanotrophs, designated BRS-K6, GFS-K6 and AK-K6, which were recovered from three different habitats in contrasting geographic regions and ecosystems: waterlogged rice-field soil and methane seep pond sediments from Bangladesh; and warm spring sediments from Armenia. All isolates had a temperature range for growth of 8–35 °C (optimal 25–28 °C) and a pH range of 5.0–7.5 (optimal 6.4–7.0). 16S rRNA gene sequences showed that they were new gammaproteobacterial methanotrophs, which form a separate clade in the family Methylococcaceae. They fell into a cluster with thermotolerant and mesophilic growth tendency, comprising the genera Methylocaldum-Methylococcus-Methyloparacoccus-Methylogaea. So far, growth below 15 °C of methanotrophs from this cluster has not been reported. The strains possessed type I intracytoplasmic membranes. The genes pmoA, mxaF, cbbL, nifH were detected, but no mmoX gene was found. Each strain probably represents a novel species either belonging to the same novel genus or each may even represent separate genera. These isolates extend our knowledge of methanotrophic Gammaproteobacteria and their physiology and adaptation to different ecosystems

Association studies using random and "candidate" microsatellite loci in two infectious goat diseases

We established a set of 30 microsatellites of Bovidae origin for use in a biodiversity study in Swiss and Creole goats. Additional microsatellites located within or next to "candidate" genes of interest, such as cytokine genes (IL4, INF-gamma) and MHC class II genes (DRB, DYA) were tested in the caprine species in order to detect possible associations with two infectious caprine diseases. Microsatellite analysis was undertaken using automated sequencers (ABI373 & 3100). In the first study, a total of 82 unrelated Creole goats, 37 resistant and 45 susceptible to Heartwater disease (Cowdriosis) were analysed. In this study, the two microsatellite loci DRBP1 (MHCII) and BOBT24 (IL4) were positively associated with disease susceptibility, demonstrating a corrected P-value of 0.002 and 0.005, respectively. In a second investigation, we tested 36 goats, naturally infected with the nematode parasite Trichostrongylus colubriformis. These animals were divided into a "low" and "high" excreting group on the basis of two independently recorded fecal egg counts. For this nematode resistance study, we detected a significant association of one of the alleles of the microsatellite locus SPS113 with "low" excretion (resistance). The MHC class II locus DYA (P19), was weakly associated with susceptibility in both diseases (Pc = 0.05). In future experiments, we will extend the sample size in order to verify the described associations

Circlator: automated circularization of genome assemblies using long sequencing reads

The assembly of DNA sequence data is undergoing a renaissance thanks to emerging technologies capable of producing reads tens of kilobases long. Assembling complete bacterial and small eukaryotic genomes is now possible, but the final step of circularizing sequences remains unsolved. Here we present Circlator, the first tool to automate assembly circularization and produce accurate linear representations of circular sequences. Using Pacific Biosciences and Oxford Nanopore data, Circlator correctly circularized 26 of 27 circularizable sequences, comprising 11 chromosomes and 12 plasmids from bacteria, the apicoplast and mitochondrion of Plasmodium falciparum and a human mitochondrion. Circlator is available at http://sanger-pathogens.github.io/circlator/

Overview of Metagenomics for Marine Biodiversity Research

We are in the midst of the fastest growing revolution in molecular biology,perhaps in all of life science, and it appears to be speeding up. We still know very little about the vast diversity of micro-organisms, their metabolic pathways and microbial activity in natural environments. Modern genomic tools are providing deep access to natural microbial diversity and ecology. Interdisciplinary approaches will be required to fully understand microbial ecology by: (1) analysis of genomes, transcriptomes, proteomes and metabolomes and (2) analysis at various levels of individuals, populations, communities and ecosystems. Data gathered is not only theoretical. It holds the promise of practical applications in the control of infectious diseases, in the production of biotechnology goods and services and in environmentalremediation. It is an incredibly exciting time in science for the newer generation of scientists, “loaded” with opportunities. It is an excellent time to develop and apply tools to solve problems of local and global importance.We are in the midst of the fastest growing revolution in molecular biology,perhaps in all of life science, and it appears to be speeding up. We still know very little about the vast diversity of micro-organisms, their metabolic pathways and microbial activity in natural environments. Modern genomic tools are providing deep access to natural microbial diversity and ecology. Interdisciplinary approaches will be required to fully understand microbial ecology by: (1) analysis of genomes, transcriptomes, proteomes and metabolomes and (2) analysis at various levels of individuals, populations, communities and ecosystems. Data gathered is not only theoretical. It holds the promise of practical applications in the control of infectious diseases, in the production of biotechnology goods and services and in environmentalremediation. It is an incredibly exciting time in science for the newer generation of scientists, “loaded” with opportunities. It is an excellent time to develop and apply tools to solve problems of local and global importance