The African Goat Improvement Network: a scientific group empowering smallholder farmers.

The African Goat Improvement Network (AGIN) is a collaborative group of scientists focused on genetic improvement of goats in small holder communities across the African continent. The group emerged from a series of workshops focused on enhancing goat productivity and sustainability. Discussions began in 2011 at the inaugural workshop held in Nairobi, Kenya.

Discovering novel clues of natural selection on four worldwide goat breeds.

In goat breeds, the domestication followed by artificial selection for economically important traits have shaped genetic variation within populations, leading to the fixation of specific alleles for specific traits. This led to the formation and evolution of many different breeds specialised and raised for a particular purpose. However, and despite the intensity of artificial selection, natural selection continues acting, possibly leaving a more diluted contribution over time, whose traces may be more difficult to capture.

Single-molecule sequencing and chromatin conformation capture enable de novo reference assembly of the domestic goat genome.

The decrease in sequencing cost and increased sophistication of assembly algorithms for short-read platforms has resulted in a sharp increase in the number of species with genome assemblies. However, these assemblies are highly fragmented, with many gaps, ambiguities, and errors, impeding downstream applications. We demonstrate current state of the art for de novo assembly using the domestic goat (Capra hircus) based on long reads for contig formation, short reads for consensus validation, and scaffolding by optical and chromatin interaction mapping.

Design and characterization of a 52K SNP chip for goats.

The success of Genome Wide Association Studies in the discovery of sequence variation linked to complex traits in humans has increased interest in high throughput SNP genotyping assays in livestock species. Primary goals are QTL detection and genomic selection. The purpose here was design of a 50-60,000 SNP chip for goats.

Generation and analysis of expressed sequence tags (ESTs) for marker development in yam (Dioscorea alata L.).

Background: Anthracnose (Colletotrichum gloeosporioides) is a major limiting factor in the production of yam (Dioscorea spp.) worldwide. Availability of high quality sequence information is necessary for designing molecular markers associated with resistance.

Optimization of PCR conditions to amplify microsatellite loci in the bunchgrass lizard (Sceloporus slevini) genomic DNA.

Background: Microsatellites, also called Simple Sequence Repeats (SSRs), repetitions of nucleotide motifs of 1-5 bases, are currently the markers of choice due to their abundant distribution in the genomes, and suitability for high-throughput analysis. A total of five different primer pairs were optimized for polymerase chain reaction (PCR) to amplify microsatellite loci in total genomic DNA of bunchgrass lizards (Sceloporus slevini) collected from three sites in southeastern Arizona; the Sonoita Plain, Chiricahua Mountains and Huachuca Mountains.

Findings: The primers used for current investigation were originally designed for the Eastern Fence Lizard (Sceloporus undulatus).

Detection of Salmonella strains and Escherichia coli O157:H7 in feces of small ruminants and their isolation with various media.

Salmonella strains and Escherichia coli O157:H7 were detected in 17 and 5 small ruminants in Virginia, respectively, of 287 tested. Background microflora interfered with the fecal analysis. The combination of Salmonella enzyme immunoassay (EIA) detection and xylose-lysine-deoxycholate agar isolation was satisfactory.