Smartphone-based digital phenotyping for genome-wide association study of intramuscular fat traits in longissimus dorsi muscle of pigs

IF 1.8 3区生物学 Q2 AGRICULTURE, DAIRY & ANIMAL SCIENCE

Animal genetics Pub Date : 2024-01-30 DOI:10.1111/age.13401

Yang Shen, Yuxi Chen, Shufeng Zhang, Ze Wu, Xiaoyu Lu, Weizhen Liu, Bang Liu, Xiang Zhou

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引用次数: 0

Abstract

Intramuscular fat (IMF) content and distribution significantly contribute to the eating quality of pork. However, the current methods used for measuring these traits are complex, time-consuming and costly. To simplify the measurement process, this study developed a smartphone application (App) called Pork IMF. This App serves as a rapid and portable phenotyping tool for acquiring pork images and extracting the image-based IMF traits through embedded deep-learning algorithms. Utilizing this App, we collected the IMF traits of the longissimus dorsi muscle in a crossbred population of Large White × Tongcheng pigs. Genome-wide association studies detected 13 and 16 SNPs that were significantly associated with IMF content and distribution, respectively, highlighting NR2F2, MCTP2, MTLN, ST3GAL5, NDUFAB1 and PID1 as candidate genes. Our research introduces a user-friendly digital phenotyping technology for quantifying IMF traits and suggests candidate genes and SNPs for genetic improvement of IMF traits in pigs.

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基于智能手机的猪背阔肌肌肉脂肪性状全基因组关联研究数字表型。

肌内脂肪（IMF）含量和分布对猪肉的食用品质有很大影响。然而，目前用于测量这些性状的方法复杂、耗时且成本高昂。为了简化测量过程，本研究开发了一款名为 "猪肉肌内脂肪 "的智能手机应用程序（App）。该应用程序是一种快速、便携的表型工具，用于获取猪肉图像，并通过嵌入式深度学习算法提取基于图像的 IMF 特征。利用该应用程序，我们收集了大白×桐城猪杂交群体背阔肌的 IMF 性状。全基因组关联研究分别发现了 13 个和 16 个与 IMF 含量和分布显著相关的 SNPs，其中 NR2F2、MCTP2、MTLN、ST3GAL5、NDUFAB1 和 PID1 为候选基因。我们的研究引入了一种用户友好型数字表型技术来量化IMF性状，并为猪IMF性状的遗传改良提出了候选基因和SNPs。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Animal genetics 生物-奶制品与动物科学

CiteScore

4.60

自引率

4.20%

发文量

115

审稿时长

5 months

期刊介绍： Animal Genetics reports frontline research on immunogenetics, molecular genetics and functional genomics of economically important and domesticated animals. Publications include the study of variability at gene and protein levels, mapping of genes, traits and QTLs, associations between genes and traits, genetic diversity, and characterization of gene or protein expression and control related to phenotypic or genetic variation. The journal publishes full-length articles, short communications and brief notes, as well as commissioned and submitted mini-reviews on issues of interest to Animal Genetics readers.