Project description:A CNV map in pigs could facilitate the identification of chromosomal regions that segregate for important economic and disease phenotypes. The goal of this study was to identify CNV regions (CNVRs) in pigs based on a custom array comparative genome hybridization (aCGH). We carried out a custom-made array comparative genome hybridization (aCGH) experiment in order to identify copy number variations (CNVs) in the pig genome analysing animals of diverse pig breeds (White Duroc, Yangxin, Erhualian, Tongcheng, Large White, Pietrain, Landrace and Chinese new pig line DIV ) using a tiling oligonucleotide array with ~720,000 probes designed on the pig genome (Sus scrofa genome version 9.0). In this study, a custom-made tiling oligo-nucleotide 720k array was used with a median probe spacing of 2506 bp for screening 12 pigs with a female Duroc as the reference. WD: White Duroc (♀); YX: Yangxin (♂); EH: Erhualian (♀); TC: Tongcheng (♀); LW: Large White (♀); PT: Pietrain (♂); LD1: Landrace × DIV pig 1 (♂); LD2: Landrace × DIV pig 2 (♀); DIV1: Chinese new pig line DIV 1 (♀); DIV2: Chinese new pig line DIV 2 (♀); L1: Landrace 1 (♂); L2: Landrace 2 (♂).

2013-08-09 | E-GEOD-41488 | biostudies-arrayexpress

MeDIP based methylome analysis of muscle from two pig breeds with varying muscularity

Project description:We report the application of methylated DNA immunopreciptation (MeDIP)-next generation sequencing for examining methylome in two different breeds of pigs. Two muscle samples from each animal/breed processed to isolated DNA. DNA was isolated from two muscle samples (one per breed) was used for methylated DNA immunoprecipitation (MeDIP). 5 methyl cytosine regions were immunoprecipitated and processed for next generation sequencing in Hiseq 2500 (Illumina). The pre-processed reads were mapped to the Sus scrofa genome v11.1 downloaded from UCSC (http://genome.ucsc.edu/) with Burrows–Wheeler alignment (BWA) (version 0.7.17). The MeDIP data generated was used for identification of differentially methylated regions (DMRs) across the chromosome between the breeds using Burrrows Eheeler Alignment (BWA version 0.7.17. Uniquely mapped reads were processed further with MEDIPS. A total of 1545 and 25 DMRs (P<0.1) were identified across the pig chromosome and mitochondrial DNA respectively.

2023-09-29 | GSE184969 | GEO

Sus scrofa breed:Min pig and Enshi black pig

Project description:Sus scrofa breed:Min pig and Enshi black pig Raw sequence reads

| PRJNA1070892 | ENA

CGH analyses for the Chinese indigenous pig breeds and commercial pig breeds [Agilent]

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

Sus scrofa strain:Songliao black pigs

Project description:Songliao black pigs genome resequencing

| PRJNA240950 | ENA

Candidate gene screening for lipid deposition combining transcriptomic and proteomic data in Nanyang Black pig

Project description:Lower selection intensity resulted in obvious genetically and phenotypically divergences in China indigenous breeds. Nanyang black pig, a China indigenous breed, was famous for its high lipid deposition and high genetic divergence, which made it an ideal model investigating mechanism of lipid position traits in pig. Here, transcriptome and TMT-based proteome analyses were carried out in longissimus dorsi (LD) tissue of high genetic variation individual Nanyang black pigs. After phenotyping in a big population with multi-production traits indexes, six Nanyang black pigs were selected and divided into relatively high and low lipid deposition groups. Combining analyses of transcriptomic and proteomic data identified 15 candidate genes determining lipid deposition genetic divergence in Nanyang black pig. Among them, FASN, CAT, and SLC25A20 were main causal candidate genes. The other genes could be divided as lipid deposition related gene (BDH2, FASN, CAT, DHCR24, ACACA, GK, SQLE, ACSL4, SCD), PPARA-centered fat metabolism regulatory factors (PPARA, UCP3), transcription or translation regulators (SLC25A20, PDK4, CEBPA), and integrin, structural proteins, signal transduction-related genes (EGFR). The multi-omics data set provided a valuable resource for analyses on lipid deposition-traits in pig, especially in Nanyang black pig.

2021-01-28 | GSE165613 | GEO

CGH analyses for the Chinese indigenous pig breeds and commercial pig breeds

2013-05-15 | E-GEOD-46847 | biostudies-arrayexpress