Tease C, Jones G H
Division, MRC Radiobiology Unit, Didcot, Oxon, UK.
Chromosome Res. 1995 May;3(3):162-8. doi: 10.1007/BF00710709.
The questions of whether closely spaced crossovers could be misidentified as single chiasmata or could cancel out each other and whether exchange could occur without chiasma formation were examined in Locusta migratoria. Monochiasmate bivalents that showed differential sister chromatid staining following bromodeoxyuridine incorporation were screened for their patterns of label distribution. Half of the chiasmata were associated with an exchange between dark and lightly stained chromatids, as expected if recombination involved any two non-sister chromatids chosen at random. Two variant types of label distribution were also seen: approximately 10% of all monochiasmate bivalents had an anomalous distribution of dark and light chromatids around the chiasma, and in three of the 1365 bivalents screened a second type of anomalous pattern was observed for the first time, in which all four chromatids had a label exchange at the chiasma. The observed incidence of the latter was considerably less than expected if they originated through a four-strand double crossover with closely positioned exchanges. Analysis of label distribution patterns in monochiasmate bivalents did not produce evidence of the other configurations expected if two closely spaced exchanges could be misidentified as single chiasmata or could cancel one another out so as not to form a chiasma. We conclude that analysis of chiasma frequencies and distributions offers an accurate means of assessing recombination in organisms with favourable cytology.
在飞蝗中研究了紧密间隔的交叉是否会被误识别为单个交叉或相互抵消,以及交换是否可以在不形成交叉的情况下发生的问题。对在掺入溴脱氧尿苷后显示姐妹染色单体差异染色的单交叉二价体进行了标记分布模式的筛选。正如预期的那样,如果重组涉及随机选择的任何两条非姐妹染色单体,那么一半的交叉与深色和浅色染色单体之间的交换有关。还观察到两种变异类型的标记分布:在所有单交叉二价体中,约10%在交叉周围深色和浅色染色单体的分布异常,并且在筛选的1365个二价体中的3个中首次观察到第二种异常模式,即所有四条染色单体在交叉处都有标记交换。如果后者是通过具有紧密定位交换的四链双交换产生的,那么观察到的发生率远低于预期。对单交叉二价体中标记分布模式的分析没有产生证据表明,如果两个紧密间隔的交换可以被误识别为单个交叉或可以相互抵消从而不形成交叉,还会出现其他预期的构型。我们得出结论,对交叉频率和分布的分析提供了一种准确的方法来评估细胞学特征良好的生物体中的重组。