Harshman Lawrence G, Clark Andrew G
Department of Biological Sciences, University of Nebraska, Lincoln, Nebraska, 68588.
Department of Biology, Pennsylvania State University, University Park, Pennsylvania, 16802.
Evolution. 1998 Oct;52(5):1334-1341. doi: 10.1111/j.1558-5646.1998.tb02015.x.
In field studies of multiple mating and sperm competition there typically is no experimental control over the number of times that a female mates, the interval between matings, or the genetic identity of multiple fathers contributing to a brood. Irrespective of this complexity, high-resolution molecular markers can be used to assign paternity with considerable confidence. This study employed two highly heterozygous microsatellite loci to assess multiple paternity and sperm displacement in a sample of broods taken from a natural population of Drosophila melanogaster. The large number of alleles present at each of the loci makes it difficult to derive explicit maximum-likelihood estimates for multiple paternity and sperm displacement from brood samples. Monte Carlo simulations were used to estimate maximum-likelihood parameters for the distribution of female remating frequency and the proportion of offspring sired by the second or subsequent mating males. Estimates were made based on genotypes scored at two distinct marker loci because they were found to give statistically homogeneous results. Fitting a Poisson distribution of number of matings, the mean number of males mated by a female was 1.82. The sperm displacement parameter estimated from doubly mated females were 0.79 and 0.86 for the two loci (0.83 for the joint estimate). The overall probability that a multiply mated female will be misclassified as singly mated was only 0.006, which indicates that microsatellites can provide excellent resolution for identifying multiple mating. In addition, microsatellites can be used to generate relatively precise estimates of sperm precedence in brood-structured samples from a natural population.
在关于多次交配和精子竞争的野外研究中,通常无法对雌性交配次数、交配间隔或为一窝后代贡献精子的多个父本的基因身份进行实验控制。尽管存在这种复杂性,但高分辨率分子标记可用于相当可靠地确定父本身份。本研究采用两个高度杂合的微卫星位点,对从黑腹果蝇自然种群采集的一窝样本中的多父本现象和精子置换进行评估。每个位点存在的大量等位基因使得从一窝样本中得出多父本现象和精子置换的明确最大似然估计变得困难。蒙特卡罗模拟被用于估计雌性再次交配频率分布以及第二次或后续交配雄性所产后代比例的最大似然参数。估计是基于在两个不同标记位点所记录的基因型做出的,因为发现它们能给出统计学上一致的结果。拟合交配次数的泊松分布,雌性交配的雄性平均数量为1.82。从双重交配雌性估计的两个位点的精子置换参数分别为0.79和0.86(联合估计为0.83)。多次交配雌性被误分类为单次交配的总体概率仅为0.006,这表明微卫星可为识别多次交配提供出色的分辨率。此外,微卫星可用于从自然种群的一窝结构样本中生成相对精确的精子优先度估计。