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鉴定猪背最长肌中表达的基因的表达数量性状基因座(eQTL)及其与肉质性状的关联。

Identification of expression QTL (eQTL) of genes expressed in porcine M. longissimus dorsi and associated with meat quality traits.

机构信息

Leibniz Institute for Farm Animal Biology, Research Unit Molecular Biology, Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany.

出版信息

BMC Genomics. 2010 Oct 16;11:572. doi: 10.1186/1471-2164-11-572.

Abstract

BACKGROUND

Genetic analysis of transcriptional profiles is a promising approach for identifying and dissecting the genetics of complex traits like meat performance. Accordingly, expression levels obtained by microarray analysis were taken as phenotypes in a linkage analysis to map eQTL. Moreover, expression levels were correlated with traits related to meat quality and principle components with high loadings of these traits. By using an up-to-date annotation and localization of the respective probe-sets, the integration of eQTL mapping data and information of trait correlated expression finally served to point to candidate genes for meat quality traits.

RESULTS

Genome-wide transcriptional profiles of M. longissimus dorsi RNAs samples of 74 F2 animals of a pig resource population revealed 11,457 probe-sets representing genes expressed in the muscle. Linkage analysis of expression levels of these probe-sets provided 9,180 eQTL at the suggestive significance threshold of LOD > 2. We mapped 653 eQTL on the same chromosome as the corresponding gene and these were designated as 'putative cis-eQTL'. In order to link eQTL to the traits of interest, probe-sets were addressed with relative transcript abundances that showed correlation with meat quality traits at p ≤ 0.05. Out of the 653 'putative cis-eQTL', 262 transcripts were correlated with at least one meat quality trait. Furthermore, association of expression levels with composite traits with high loadings for meat quality traits generated by principle component analysis were taken into account leading to a list of 85 genes exhibiting cis-eQTL and trait dependent expression.

CONCLUSION

Holistic expression profiling was integrated with QTL analysis for meat quality traits. Correlations between transcript abundance and meat quality traits, combined with genetic positional information of eQTL allowed us to prioritise candidate genes for further study.

摘要

背景

转录谱的遗传分析是一种很有前途的方法,可以识别和剖析复杂性状(如肉质性能)的遗传基础。因此,通过微阵列分析获得的表达水平被用作连锁分析的表型,以映射 eQTL。此外,还将表达水平与与肉质相关的性状进行了相关分析,并与这些性状具有高负荷的主成分进行了相关分析。通过使用最新的注释和定位各自的探针集,eQTL 映射数据和与性状相关的表达信息的整合最终有助于为肉质性状的候选基因提供线索。

结果

对一个猪资源群体的 74 个 F2 动物的背最长肌 RNA 样本进行了全基因组转录谱分析,结果显示有 11457 个探针集代表肌肉中表达的基因。对这些探针集表达水平的连锁分析提供了 9180 个在 LOD > 2 的提示性显著阈值下的 eQTL。我们在与相应基因相同的染色体上定位了 653 个 eQTL,并将其指定为“推定顺式-eQTL”。为了将 eQTL 与感兴趣的性状联系起来,对探针集进行了相对转录丰度的处理,这些丰度与肉质性状相关,p 值≤0.05。在 653 个“推定顺式-eQTL”中,有 262 个转录本与至少一个肉质性状相关。此外,还考虑了与主成分分析中具有高肉质性状负荷的综合性状的表达水平的关联,得出了 85 个表现出顺式-eQTL 和性状依赖表达的基因列表。

结论

整体表达谱与肉质性状的 QTL 分析相结合。转录丰度与肉质性状的相关性,结合 eQTL 的遗传定位信息,使我们能够优先选择候选基因进行进一步研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0696/3091721/e16b5c461598/1471-2164-11-572-1.jpg

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