Long-read WGS of meat and dairy sheep breeds
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB89042 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| ERR14939014.fastq.gz | Fastqsanger.gz | |||
| ERR14939015.fastq.gz | Fastqsanger.gz | |||
| ERR14939016.fastq.gz | Fastqsanger.gz | |||
| ERR14939017.fastq.gz | Fastqsanger.gz |
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Project description:Haemonchus contortus is the gastrointestinal nematode (GIN) species that most parasites sheep and goats in tropical and subtropical regions. Due to the high prevalence and pathogenicity by hematophagy, it causes severe anemia, submandibular edema and deaths. Post-genomics tools, such as proteomics, allow the identification of differentially expressed genes and differentially abundant proteins and metabolites between two conditions of a given factor. Thus, the detection of protein profiles that occur in more parasitized animals may be of great interest for the identification of sheep that effectively need anthelmintic treatment. As a result, the parasites are preserved in refugia through Targeted Selective Treatment (TST) strategies for the animals, extension of the period of efficacy of the anthelmintics and, when its use is necessary, parasite control will be more efficient. This project aims to characterize the plasma proteomic profile of sheep breeds susceptible and resistant to GIN infection, aiming at the future development of a diagnostic tool and the understanding of the resistance mechanisms involved in the Santa Inês, White Dorper and Texel sheep breeds. In this way, the development of methodologies, processes and products for the identification of sheep with higher rates of infection by GIN, in addition to the detection of breeds/individuals more resistant to these parasites and the understanding of the resistance mechanisms involved in the different hosts, is presented as a topic of great relevance for sheep farming, which can be extended to goat farming. It also addresses public health issues and the consumer population, which is increasingly demanding in terms of quality, certification and safety.
2024-11-25 | PXD048967 | Pride
Project description: Not available
| S-EPMC10668769 | biostudies-literature
Project description:Since CNVs play a vital role in genomic studies, it is an imperative need to develop a comprehensive, more accurate and higher resolution porcine CNV map with practical significance in follow-up CNV functional analyses To detect CNV of pigs, we performed high density aCGH data of diverse pig breeds in the framework of the pig draft genome sequence (Sscrofa10.2) 9 Chinese indigenous pig, one Chinese wild boar and 2 commercial pigs were detected using one pig of Duroc as reference. These 12 animals include 1 wild pig, 2 pigs each from Yorkshire and Landrace as the representatives of modern commercial breeds and 9 unrelated individuals selected from 6 Chinese indigenous breeds (2- Tibetan pig, 2- Diannan small-ear pig, 2-Meishan pig, 1- Min pig, 1-Daweizi pig, and 1-Rongchang pig).
2015-06-29 | E-GEOD-49299 | biostudies-arrayexpress
Project description:The aim of the study was to investigate differences in the gene expression profiles of selected tissues in two most popular goat’s breeds in Poland: Polish White Improved (PWI) and Polish Fawn Improved (PFI). Three different types of tissue samples were selected: somatic cells isolated from goats’ milk (MSC), milk fat globules (MFG) and peripheral nuclear blood cells (PBNC) Since there were no earlier genetic studies focused on genetic differences between these two goat breeds we decided to evaluate hypothetical genomic differences assuming that such a differences should be the consequence of genetic differences. We created the hypothesis that if genomic differences exist they should be revealed in hierarchical clustering of transcriptomic profiles of selected tissues. Should the genomic differences exist the clusters obtained are grouping goat breeds and not goat’s tissues. The results of hierarchical clustering however show something completely different. The clusters are grouping goat tissues (milk fat globules, milk somatic cells, peripheral blood nuclear cells) without any relation with goat breed. So the analytical tool does not recognize the goat breed as a driver of transcriptomic difference. Moreover, we were not able to find significantly regulated genes between two breeds
2017-06-10 | GSE89693 | GEO
Project description:Background Among transcriptomic studies, those comparing species or populations can increase our understanding of the impact of the evolutionary forces on the differentiation of populations. A particular situation is the one of short evolution time with breeds of a domesticated species that underwent strong selective pressures. In this study, the gene expression diversity across five pig breeds has been explored in muscle. Samples came from: 24 Duroc, 33 Landrace, 41 Large White dam line, 10 Large White sire line and 39 Piétrain. From these animals, 147 muscle samples obtained at slaughter were analyzed using the porcine Agilent 44K v1 microarray. Results A total of 12,358 genes were identified as expressed in muscle after normalization and 1,703 genes were declared differential for at least one breed (FDR < 0.001). The functional analysis highlighted that gene expression diversity is mainly linked to cellular signaling pathways such as the PI3K (phosphoinositide 3-kinase) pathway. The PI3K pathway is known to be involved in the control of development of the skeletal muscle mass by affecting extracellular matrix - receptor interactions, regulation of actin cytoskeleton pathways and some metabolic functions. This study also highlighted 228 spots (171 unique genes) that differentiate the breeds from each other. A common subgroup of 15 genes selected by three statistical methods was able to differentiate Duroc, Large White and Piétrain breeds. Conclusions This study on transcriptomic differentiation across Western pig breeds highlighted a global picture: mainly signaling pathways were affected. This result is consistent with the selection objective of increasing muscle mass. These transcriptional changes may indicate selection pressure or simply breed differences which may be driven by human selection. Further work aiming at comparing genetic and transcriptomic diversities would further increase our understanding of the consequences of human impact on livestock species.
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Project description:The effects of inbreeding in livestock species breeds have been well documented and they have a negative impact on profitability. The objective of this study was to evaluate the levels of inbreeding in Sarda (SAR, n = 785) and Valle del Belice (VdB, n = 473) dairy sheep breeds and their impact on milk production traits. Two inbreeding coefficients (F) were estimated: using pedigree (FPED ), or runs of homozygosity (ROH; FROH ) at different minimum ROH lengths and different ROH classes. After the quality control, 38,779 single nucleotide polymorphisms remained for further analyses. A mixed-linear model was used to evaluate the impact of inbreeding coefficients on production traits within each breed. VdB showed higher inbreeding coefficients compared to SAR, with both breeds showing lower estimates as the minimum ROH length increased. Significant inbreeding depression was found only for milk yield, with a loss of around 7 g/day (for SAR) and 9 g/day (VdB) for a 1% increase of FROH . The present study confirms how the use of genomic information can be used to manage intra-breed diversity and to calculate the effects of inbreeding on phenotypic traits.
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Project description:The sheep (Ovis aries) plays a major socio-economic role in the world. Copy number variations (CNVs) are increasingly recognized as a key and potent source of genetic variation and phenotypic diversity, but little is known about the extent to which CNVs contribute to genetic variation in Chinese sheep breeds. Analyses of CNVs in the genomes of eight sheep breeds were performed using the sheep SNP50 BeadChip genotyping array. A total of 111 CNV regions (CNVRs) were obtained from 160 Chinese sheep breeds. These CNVRs covered 13.75 Mb of the sheep genome sequence. A total of 22 Go terms and 17 candidate genes were obtained from the functional analysis. Ten CNVRs were selected for validation, of which 7 CNVRs were further experimentally confirmed by quantitative PCR. Four candidate genes were selected to confirm the results of the functional analysis. These results provide a resource for furthering understanding of ruminant biology, and for further improving the genetic quality of sheep breeds.
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