AdaptMap: exploring goat diversity and adaptation

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APLU AAU Accelerating Public Access to Research Data Workshop Report

The Association of Public and Land-grant Universities (APLU) and the Association of American Universities (AAU), with support from the National Science Foundation, convened the Accelerating Public Access to Research Data Workshop on October 29-30, 2018. The purpose of the workshop was to provide a venue for learning, sharing, and planning (campus roadmaps) to support research universities as they create and implement institutional and cross-institutional strategies and systems to provide public access to research data. It also provided a forum for participants to hear from federal agencies concerning their current activities and plans regrading data access. To date, institutional efforts to provide public access to research data have lacked coordination. Additionally, a long-term multi-institutional strategy for data access has been slow to develop due to the complexities of data management and the decentralized nature of the research enterprise. Access to data presents a particularly difficult challenge given the technical knowledge required and the variation in data creation and use across disciplines. While providing the public with access to taxpayerfunded research data is challenging, it will ultimately speed the pace of scientific advancement and innovation and strengthen research integrity. The workshop and report, together with prior and subsequent engagement by APLU and AAU, will help to accelerate public access to research data

Data from: Genomic analysis suggests KITLG is responsible for a roan pattern in two Pakistani goat breeds

The roan coat color pattern is described as the presence of white hairs intermixed with pigmented hairs. This kind of pigmentation pattern has been observed in many domestic species, including the goat. The molecular mechanisms and inheritance that underlie this pattern are known for some species and the KITLG gene has been shown associated with this phenotype. To date, no research effort has been done to find the gene(s) that controls roan coat color pattern in goats. In the present study, after genotyping with the GoatSNP50 BeadChip, 35 goats that showed a roan pattern and that belonged to two Pakistan breeds (Group A) were analyzed and then compared to 740 goats of 39 Italian and Pakistan goats breeds that did not have the same coat color pattern (Group B). Run of homozygosity-based and XP-EHH analyses were used to identify unique genomic regions potentially associated with the roan pattern. A total of 3 regions on chromosomes 5, 6 and 12 were considered unique among the group A versus B group comparisons. The A region > 1.7 Mb on chromosome 5 was the most divergent between the two groups. This region contains six genes, including the KITLG gene. Our findings support the hypothesis that the KITLG gene may be associated with the roan phenotype in goats

AdaptMap: exploring goat diversity and adaptation

International initiatives on goat genetics and genomics Goats are bred worldwide and present in a wide variety of production environments. Local breeds, which are well adapted to a range of agro-ecological conditions, contribute to ensuring the sustainability of livestock farming in marginal and difficult areas in both developed and developing countries. Compared to other livestock species, goats have been domesticated in a single region and subject to a limited amount of hybridization between breeds, thus they represent one of the best species for the study of genetic diversity and adaptation.This editorial is published as Stella, Alessandra, Ezequiel Luis Nicolazzi, Curtis P. Van Tassell, Max F. Rothschild, Licia Colli, Benjamin D. Rosen, Tad S. Sonstegard, Paola Crepaldi, Gwenola Tosser-Klopp, and Stephane Joost. "AdaptMap: exploring goat diversity and adaptation." 50 (2018): 61. doi: 10.1186/s12711-018-0427-5.</p

AdaptMap : exploring goat diversity and adaptation

International initiatives on goat genetics and genomics Goats are bred worldwide and present in a wide variety of production environments. Local breeds, which are well adapted to a range of agro-ecological conditions, contribute to ensuring the sustainability of livestock farming in marginal and difficult areas in both developed and developing countries. Compared to other livestock species, goats have been domesticated in a single region and subject to a limited amount of hybridization between breeds, thus they represent one of the best species for the study of genetic diversity and adaptation

Genotype data

The TalentiEtAl_2017.ped file contains the unphased genotype data for all the 929 animals described in the paper: "Genomic analysis suggests KITLG is responsible for a roan pattern in two Pakistani goat breeds". In this file, data are coded as following: - FID contains the breed of every individual coded as a number, with the exception of the Beetal Muki Cheni and Barri animals coded BeetalMukiCheni and Barri, respectively - IID column contains the id code of every individual - the phenotype column contain the information of the country, with 1 that indicates breeds from Italy and 2 indicates breeds from Pakistan The TalentiEtAl_2017.map file contain the data of all 53K markers

Promoting Coherent Minimum Reporting Guidelines for Biological and Biomedical Investigations: the MIBBI Project

To fully understand the context, methods, data and conclusions that pertain to an experiment, one must have access to a range of background information. However, the current diversity of experimental designs and analytical techniques complicates the discovery and evaluation of experimental data; furthermore, the increasing rate of production of those data compounds the problem. Community opinion increasingly favors that a regularized set of the available metadata ('data about the data') pertaining to an experiment1, 2 be associated with the results, making explicit both the biological and methodological contexts. Many journals and funding agencies now require that authors reporting microarray-based transcriptomics experiments comply with the Minimum Information about a Microarray Experiment (MIAME) checklist3 as a prerequisite for publication4, 5, 6, 7. Similarly, minimum information guidelines for reporting proteomics experiments and describing systems biology models are gaining broader support in their respective database communities8, 9; and progress is being made toward the standardization of the reporting of clinical trials in the medical literature10. Such minimum information checklists promote transparency in experimental reporting, enhance accessibility to data and support effective quality assessment, increasing the general value of a body of work (and the competitiveness of the originators).This article is from Nature Biotechnology 26 (2008): 889, doi:10.1038/nbt.1411.</p

VarGoats project: a dataset of 1159 whole-genome sequences to dissect Capra hircus global diversity

International audienceBackground Since their domestication 10,500 years ago, goat populations with distinctive genetic backgrounds have adapted to a broad variety of environments and breeding conditions. The VarGoats project is an international 1000-genome resequencing program designed to understand the consequences of domestication and breeding on the genetic diversity of domestic goats and to elucidate how speciation and hybridization have modeled the genomes of a set of species representative of the genus Capra . Findings A dataset comprising 652 sequenced goats and 507 public goat sequences, including 35 animals representing eight wild species, has been collected worldwide. We identified 74,274,427 single nucleotide polymorphisms (SNPs) and 13,607,850 insertion-deletions (InDels) by aligning these sequences to the latest version of the goat reference genome (ARS1). A Neighbor-joining tree based on Reynolds genetic distances showed that goats from Africa, Asia and Europe tend to group into independent clusters. Because goat breeds from Oceania and Caribbean (Creole) all derive from imported animals, they are distributed along the tree according to their ancestral geographic origin. Conclusions We report on an unprecedented international effort to characterize the genome-wide diversity of domestic goats. This large range of sequenced individuals represents a unique opportunity to ascertain how the demographic and selection processes associated with post-domestication history have shaped the diversity of this species. Data generated for the project will also be extremely useful to identify deleterious mutations and polymorphisms with causal effects on complex traits, and thus will contribute to new knowledge that could be used in genomic prediction and genome-wide association studies

AdaptMap: Exploring goat diversity and adaptation

Goats are bred worldwide and present in a wide variety of production environments. Local breeds, which are well adapted to a range of agro-ecological conditions, contribute to ensuring the sustainability of livestock farming in marginal and difficult areas in both developed and developing countries. Compared to other livestock species, goats have been domesticated in a single region and subject to a limited amount of hybridization between breeds, thus they represent one of the best species for the study of genetic diversity and adaptation. The International Goat Genome Consortium (IGGC, http://www.goatgenome.org) was created in 2012 with the general goal of increasing the range of genomic tools and publicly available information for the goat. In 2013, the 50 K goat single nucleotide polymorphism (SNP) panel was developed (http://www.goatgenome.org; [3]) by combining whole-genome sequencing and reduced representation libraries from eight breeds/populations from Europe and Asia through the cooperation of the Institut National de la Recherche Agronomique (Inra) in France, Utrecht University in The Netherlands, the Malaysian Agricultural Research and Development Institute (MARDI) in Malaysia, and DNA Landmarks in Canada. Several large projects took advantage of this newly-developed SNP panel to genotype many goat populations across the world with a range of objectives and hypotheses: genome-wide association analyses across a spectrum of research and production traits, germplasm characterization and diversity studies, and genetic prediction for selection in commercial populations. The AdaptMap project started as a voluntary consortium in 2014, with the aim of improving coordination among these otherwise independent projects for genotyping, resequencing and phenotyping of goat breeds. AdaptMap was promoted by the International Goat Genome Consortium (IGGC), the African Goat Improvement Network (AGIN), which is a group resulting from the USAID Feed the Future (FtF), the USDA Livestock Improvement Project, the European Union sponsored, 3SR\u2014Sustainable Solutions for Small ruminants and NEXTGEN projects

Promoting coherent minimum reporting guidelines for biological and biomedical investigations: the MIBBI project

The Minimum Information for Biological and Biomedical Investigations (MIBBI) project aims to foster the coordinated development of minimum-information checklists and provide a resource for those exploring the range of extant checklists