Microsatellite polymorphism in commercial broiler and layer lines estimated using pooled blood samples

Microsatellite polymorphism in commercial broiler and layer lines estimated using pooled blood samples
复制标题

DOI:
10.3382/ps.0750904
复制
发表时间:
1996-07-01
期刊:
影响因子:
4.4
通讯作者:
Groenen, MAM
Groenen, MAM
中科院分区:
农林科学2区
文献类型:
--
作者:
Crooijmans, RPMA;Groen, AF;Groenen, MAM

文献摘要

被引文献

相似文献

对17个微卫星标记的等位基因频率在9个高选育的商品肉鸡和6个高选育的商品蛋鸡品系中进行了测定。各品系平均标记等位基因数为5.8个,肉鸡品系为5.2个,蛋鸡品系为3.0个。全系、肉鸡系和蛋鸡系的平均标记等位基因数分别为2.9、3.6和2.0。在所有15个品系中,杂合度平均为42%,肉鸡品系杂合度为53%,蛋鸡品系杂合度仅为27%。在肉鸡品系中,50%的标记系组合的杂合度在60%以上,而在蛋鸡系中,这一比例仅为5%。使用微卫星标记对等位基因频率的估计首先在混合样本和个人样本中进行评估,然后再用于商业用途。台词。对19个微卫星标记在鸡血样本中的等位基因频率进行了估计,并与个体类型动物的等位基因频率进行了比较。当使用混合血液样本(杂合度为35.3%)或单独类型的动物(杂合度为34.2%)时,也得到了类似的结果。使用混合血液样本来确定等位基因频率的方法比使用单独分型来确定等位基因频率的方法更快、更便宜、更可靠和可重复。
For 17 microsatellite markers, allele frequencies were determined in nine highly selected commercial broiler and six highly selected commercial layer Lines using pooled blood samples from 60 animals. The average number of marker alleles was 5.8 over all lines, 5.2 over broiler Lines, and 3.0 over layer lines. The average number of marker alleles within a line was 2.9, 3.6, and 2.0 for all, broiler, and layer Lines, respectively. Over all 15 lines, the average percentage of heterozygosity was 42, whereas the heterozygosity in the broiler lines was 53% and in the layer lines only 27%. In broiler lines, 50% of the marker-line combinations showed a heterozygosity above 60%, whereas this was only 5% in layer lines. Estimation of allele frequencies with microsatellite markers was first assessed in pooled and individual samples before usage in the commercial. lines. Allele frequencies for 19 microsatellite markers were estimated in chicken pooled blood samples and compared with allele frequencies from individual typed animals. Similar results were obtained when pooled blood samples (heterozygosity of 35.3%) or individual typed animals (heterozygosity of 34.2%) were used. The method to determine allele frequencies using pooled blood samples is faster, cheaper, and as reliable and repeatable as determining allele frequencies using individual typings.