Zhao H, McPeek M S, Speed T P
Department of Statistics, University of California, Berkeley 94720, USA.
Genetics. 1995 Feb;139(2):1057-65. doi: 10.1093/genetics/139.2.1057.
The nonrandom occurrence of crossovers along a single strand during meiosis can be caused by either chromatid interference, crossover interference or both. Although crossover interference has been consistently observed in almost all organisms since the time of the first linkage studies, chromatid interference has not been as thoroughly discussed in the literature, and the evidence provided for it is inconsistent. In this paper with virtually no restrictions on the nature of crossover interference, we describe the constraints that follow from the assumption of no chromatid interference for single spore data. These constraints are necessary consequences of the assumption of no chromatid interference, but their satisfaction is not sufficient to guarantee no chromatid interference. Models can be constructed in which chromatid interference clearly exists but is not detectable with single spore data. We then extend our analysis to cover tetrad data, which permits more powerful tests of no chromatid interference. We note that the traditional test of no chromatid interference based on tetrad data does not make full use of the information provided by the data, and we offer a statistical procedure for testing the no chromatid interference constraints that does make full use of the data. The procedure is then applied to data from several organisms. Although no strong evidence of chromatid interference is found, we do observe an excess of two-strand double recombinations, i.e., negative chromatid interference.
减数分裂过程中,交叉在单条染色单体上的非随机发生可能是由染色单体干涉、交叉干涉或两者共同引起的。尽管自首次连锁研究以来,几乎在所有生物体中都持续观察到了交叉干涉,但染色单体干涉在文献中并未得到充分讨论,且相关证据也不一致。在本文中,我们对交叉干涉的性质几乎没有限制,描述了在单孢子数据不存在染色单体干涉这一假设下所产生的限制条件。这些限制条件是不存在染色单体干涉这一假设的必然结果,但满足这些条件并不足以保证不存在染色单体干涉。可以构建这样的模型,其中染色单体干涉明显存在,但用单孢子数据无法检测到。然后,我们将分析扩展到四分体数据,这允许对不存在染色单体干涉进行更有力的检验。我们注意到,基于四分体数据对不存在染色单体干涉的传统检验并未充分利用数据所提供的信息,我们提供了一种能充分利用数据来检验不存在染色单体干涉限制条件的统计方法。然后将该方法应用于几种生物体的数据。虽然未发现染色单体干涉的有力证据,但我们确实观察到两线双重组的过量,即负染色单体干涉。