Abe T, Saburi J, Hasebe H, Nakagawa T, Kawamura T, Saito K, Nade T, Misumi S, Okumura T, Kuchida K, Hayashi T, Nakane S, Mitsuhasi T, Nirasawa K, Sugimoto Y, Kobayashi E
National Livestock Breeding Center, Nishigo, Fukushima 961-8511, Japan.
J Anim Sci. 2008 Nov;86(11):2821-32. doi: 10.2527/jas.2007-0676. Epub 2008 Jul 3.
A genome-wide scan for QTL affecting economically important traits in beef production was performed using an F(2) resource family from a Japanese Black x Limousin cross, where 186 F(2) animals were measured for growth, carcass, and meat-quality traits. All family members were genotyped for 313 informative microsatellite markers that spanned 2,382 cM of bovine autosomes. The centromeric region of BTA2 contained significant QTL (i.e., exceeding the genome-wide 5% threshold) for 5 carcass grading traits [LM area, beef marbling standards (BMS) number, luster, quality grade, and firmness), 8 computer image analysis (CIA) traits [LM lean area, ratio of fat area (RFA) to LM area, LM area, RFA to musculus (M.) trapezius area, M. trapezius lean area, M. semispinalis lean area, RFA to M. semispinalis area, and RFA to M. semispinalis capitis area], and 5 meat quality traits (contents of CP, crude fat, moisture, C16:1, and C18:2 of LM). A significant QTL for withers height was detected at 80.3 cM on BTA5. We detected significant QTL for the C14:0 content in backfat and C14:0 and C14:1 content in intermuscular fat around the 62.3 to 71.0 cM region on BTA19 and for C14:0, C14:1, C18:1, and C16:0 content and ratio of total unsaturated fatty acid content to total SFA content in intramuscular fat at 2 different regions on BTA19 (41.1 cM for C14:1 and 62.3 cM for the other 4 traits). Overall, we identified 9 significant QTL regions controlling 27 traits with genome-wide significance of 5%; of these, 22 traits exceeded the 1% genome-wide threshold. Some of the QTL affecting meat quality traits detected in this study might be the same QTL as previously reported. The QTL we identified need to be validated in commercial Japanese Black cattle populations.
利用日本黑牛与利木赞牛杂交产生的F(2)资源家系，对影响牛肉生产中经济重要性状的QTL进行了全基因组扫描，对186头F(2)代动物的生长、胴体和肉质性状进行了测定。对所有家系成员进行了313个信息丰富的微卫星标记的基因分型，这些标记覆盖了2382 cM的牛常染色体。BTA2的着丝粒区域包含影响5个胴体分级性状[腰大肌面积、牛肉大理石花纹标准（BMS）评分、光泽度、质量等级和坚实度]、8个计算机图像分析（CIA）性状[腰大肌瘦肉面积、脂肪面积（RFA）与腰大肌面积之比、腰大肌面积、RFA与斜方肌面积之比、斜方肌瘦肉面积、半棘肌瘦肉面积、RFA与半棘肌面积之比以及RFA与半棘肌头肌面积之比]和5个肉质性状[腰大肌中粗蛋白（CP）、粗脂肪、水分、C16:1和C18:2的含量]的显著QTL（即超过全基因组5%的阈值）。在BTA5上80.3 cM处检测到一个影响鬐甲高度的显著QTL。在BTA19上62.3至71.0 cM区域附近，检测到背膘中C14:0含量以及肌间脂肪中C14:0和C14:1含量的显著QTL；在BTA19上的2个不同区域，检测到肌内脂肪中C14:0、C14:1、C18:1和C16:0含量以及总不饱和脂肪酸含量与总饱和脂肪酸含量之比的显著QTL（C14:1在41.1 cM处，其他4个性状在62.3 cM处）。总体而言，我们确定了9个显著的QTL区域，控制着27个性状，全基因组显著性为5%；其中，22个性状超过了全基因组1%的阈值。本研究中检测到的一些影响肉质性状的QTL可能与先前报道的QTL相同。我们鉴定出的QTL需要在日本黑牛商业群体中进行验证。
