کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8502121 | 1553927 | 2017 | 18 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Detection of pig genome regions determining production traits using an information theory approach
ترجمه فارسی عنوان
تشخیص مناطق ژنوم خوک مشخص کردن صفات تولید با استفاده از رویکرد تئوری اطلاعات
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
علوم دامی و جانورشناسی
چکیده انگلیسی
The objectives of the study were to detect the SNPs associated with pig production traits and estimate interactions between the most informative pairs of SNPs using entropy analysis. 1296 pigs were genotyped and phenotyped. The following traits were recorded: backfat, days to 110 kg, feed conversion ratio, percent lean meat and terminal line index for Maxgroâ¢. After validation of the genotypic data, 50 951 SNPs were considered for further analysis. Entropy and conditional entropy for each SNP were estimated. Mutual information for most informative SNPs was performed to estimate an interaction between pairs of SNPs. Generally, the majority of loci showed relatively small contributions to the traits. The largest number of SNPs with high conditional entropy coefficients was identified on chromosome 1. The most important SNPs and pairs of them for all traits were mainly located on chromosomes: 1, 4, 6, 7, 9, 14, 16 and 17. High mutual information was estimated for SNPs located nearby. Many of the most prominent SNPs are localised within candidate genes affecting pig production traits.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Livestock Science - Volume 205, November 2017, Pages 31-35
Journal: Livestock Science - Volume 205, November 2017, Pages 31-35
نویسندگان
Alicja Borowska, Henry Reyer, Klaus Wimmers, Patrick F. Varley, Tomasz Szwaczkowski,