摘要
Feed intake plays an important economic role in beef cattle, and is related with feed efficiency, weight gain and carcass traits. However, the phenotypes collected for dry matter intake and feed efficiency are scarce when compared with other measures such as weight gain and carcass traits. The use of genomic information can improve the power of inference of studies on these measures, identifying genomic regions that affect these phenotypes. This work performed the genome-wide association study (GWAS) for dry matter intake (DMI) and residual feed intake (RFI) of 720 Nellore cattle (Bos taurus indicus). In general, no genomic region extremely associated with both phenotypic traits was observed, as expected for the variables that have their regulation controlled by many genes. Three SNPs surpassed the threshold for the Bonferroni multiple test for DMI and two SNPs for RFI. These markers are located on chromosomes 4, 8, 14 and 21 in regions near genes regulating appetite and ion transport and close to important QTL as previously reported to RFI and DMI, thus corroborating the literature that points these two processes as important in the physiological regulation of intake and feed efficiency. This study showed the first GWAS of DMI to identify genomic regions associated with feed intake and efficiency in Nellore cattle. Some genes and QTLs previously described for DMI and RFI, in other subspecies (Bos taurus taurus), that influences these phenotypes are confirmed in this study.
摘要译文
饲料摄入量在肉牛中起着重要的经济作用，与饲料效率，体重增加和胴体性状有关。然而，与如体重增加和胴体性状如诸如体重增加和胴体性状的其他措施相比，用于干物质摄入和饲料效率的表型。基因组信息的使用可以提高研究这些措施的研究的力量，鉴定影响这些表型的基因组区域。这项工作进行了720个无牛（Bos Taurus indicus）的干物质摄入（DMI）和残留饲料摄入量（DMI）和残留饲料摄入量（RFI）的基因组 - 宽协会研究（GWA）。通常，没有观察到与两种表型性状有关的基因组区域，因为对许多基因的调节的变量预期。三个SNP超过了Bonferroni对DMI和两个SNP的阈值进行了多次RFI的阈值。这些标志物位于染色体4,8,14和21上，该区域在基因中调节食欲和离子传输，并且如先前向RFI和DMI报告的重要QTL接近，从而证实了将这两个过程的文献赋予生理调控在一起重要摄入和饲料效率。本研究显示了DMI的第一个GWA，以识别与NELLORE牛的饲料摄入和效率相关的基因组区域。在本研究中确认了影响这些表型的DMI和RFI之前描述的一些基因和QTL，在其他亚种（Bos Taurus Taurus）中被证实。
Miguel HA Santana; Yuri T Utsunomiya; Haroldo HR Neves; Rodrigo C Gomes; José F Garcia; Heidge Fukumasu; Saulo L Silva; Gerson A Oliveira Junior; Pamela A Alexandre; Paulo R Leme; Ricardo A Brassaloti; Luiz L Coutinho; Thiago G Lopes; Flávio V Meirelles; Joanir P Eler;José BS Ferraz. Genome-wide association analysis of feed intake and residual feed intake in Nellore cattle[J]. BMC Genomic Data, 2014,15