GENOMIC DIVERISTY AND SELECTION SIGNATURE OF INDIAN NATIVE GOAT BREEDS
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB86514 | ENA |
REPOSITORIES: ENA
Similar Datasets
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:Local breeds retained unique genetic variability important for adaptive potential especially in light of challenges related to climate change. Our objective was to perform, for the first time, a genome-wide diversity characterization using Illumina GoatSNP50 BeadChip of autochthonous Drežnica goat breed from Slovenia. Genetic diversity analyses revealed that the Slovenian Drežnica goat has a distinct genetic identity and is closely related to the neighboring Austrian and Italian alpine breeds. These results expand our knowledge on phylogeny of goat breeds from easternmost part of the European Alps.
2021-06-05 | GSE176157 | GEO
Project description:Assessing the adaptive capabilities of two indigenous Nandidurga and Bidri goat breeds based on skin epigenetics approach
2022-12-28 | GSE193343 | GEO
Project description:Assessing the adaptive capabilities of two indigenous Kanni Aadu and Kodi Aadu goat breeds based on skin epigenetics approach
2022-12-28 | GSE192921 | GEO
Project description:we re-sequenced 46 goats (Capra hircus) consisted of seven breeds: Korean native goat, Korean Saanen, Korean Boer, Anglo Nubian, British Alpine, Australian Saanen and Australian Boer.
| PRJEB25062 | ENA
Project description:The present study, for the first time, compared the transcriptomes of ovaries from the prolific Jintang black goat and the non-prolific Tibetan goat during follicular phase using the Illumina RNA-Seq method. The study provides insight into the transcriptional regulation in the ovaries of two distinct breeds of goats that might serve as a key resource for understanding goat fecundity.
2017-11-22 | GSE87878 | GEO
Project description:Nine animals were selected in 9 breeds to represent goat diversity in France
| PRJEB89041 | ENA
Project description:Species Level Characterization of Dental Plaque Associated Microbiome of Native Indian Children using Metagenome Sequencing
| PRJNA597465 | ENA
Project description:Understanding the genomic characteristics of livestock is crucial for improving breeding efficiency and conservation efforts. However, there is a relative lack of information on the genetic makeup of local goat breeds in Henan, China. In this study, we identified runs of homozygosity (ROH), genomic inbreeding coefficients (FROH), and selection signatures in four breeds including Funiu White (FNW), Huai (HG), Lushan Bullleg (LS), and Taihang black (THB). The genomic analysis utilized a dataset of 46,278 SNP markers and 102 animals. A total of 342, 567, 1285, and 180 ROH segments were detected in FNW, HG, LS, and THB, respectively, with an average of 15.55, 29.84, 32.95, and 8.18 segments per individual. The lengths of ROH segments varied from 69.36 Mb in THB to 417.06 Mb in LS, with the most common lengths being 2-4 Mb and 4-8 Mb. The highest number of longest ROH segments (> 16 Mb) were found in LS (328) and the highest average FROH value was observed in LS (0.173), followed by HG (0.128), while the lowest FROH values were in THB (0.029) and FNW (0.070). Furthermore, the analysis of ROH islands and Composite Likelihood Ratio (CLR) identified a total of 175 significant genes. Among these, 25 genes were found to overlap, detected by both methods. These genes were associated with a diverse range of traits including reproductive ability (GPRIN3), weight (CCSER1), immune response (HERC5 and TIGD2), embryo development (NAP1L5), environmental adaptation (KLHL3, TRHDE, and IFNGR1), and milk characteristics (FAM13A). Significant Gene Ontology (GO) terms related to embryo skeletal system morphogenesis, brain ventricle development, and growth were also identified. This study helps reveal the genetic architecture of Henan goat breeds and provides valuable insights for the effective conservation and breeding programs of local goat breeds in Henan.
| S-EPMC11624592 | biostudies-literature
Project description:There are clear phenotypic differences between Korean native pig (KNP) and Yorkshire (YS) breeds because of different interests for selection. YS has been artificially selected by industrial interests such as a growth rate and a lean meat production, however, KNP has been maintained as a regional breed by local interests such as a fat content in or between muscle and a disease resistance. A comparison of gene expression profile from a major tissue liver can reflect the overall effects of the artificial selection between the two pig breeds through long history. KNP (n=4) and YS (n=4) pigs were raised under the identical conditions. Global gene expression levels were measured in liver samples from these pigs using Affymetrix porcine genome array containing 23,937 probe sets. The clustering analysis based on the individual transcriptome data showed a clear separation between two breeds in the liver tissue. We collected hepato-transcriptome data including 11,993 genes fully detected from four independent samples either in KNP or in YS. Based on both minimum positive false discovery rate (less than 15%) and fold change (|FC| > 1.5), 160 differentially expressed genes (DEGs) were collected from the liver between the two breeds. The functional analysis of these DEGs indicated clear distinctions in intra- and extra-cellular structure, cell proliferation, membrane trafficking, glycolytic pathway, mitochondrial function, protein metabolism, and immune response. The functional characteristics based on the DEGs were useful indicators to explain the differences between these two breeds developed for the specific purposes each other. The hepatic DGEs indicate that the YS has been lost expressivity of genes not required for the fast growth but maintained expressivity of genes for lean muscle production. The tissue-wise gene expression profiles indicate that the liver could be a major place to make the economic distinction between these two pig breeds. Comparing gene expression profiles to discover differentially expressed genes from liver tissue of two different pig breeds: KNP (n=4) vs. YS (n=4).
2010-12-31 | E-GEOD-21408 | biostudies-arrayexpress