Sarens Marie, Copenhaver Gregory P, De Storme Nico
Laboratory for Plant Genetics and Crop Improvement, Division of Crop Biotechnics, Department of Biosystems, Katholieke Universiteit Leuven, Leuven, Belgium.
Department of Biology and the Integrative Program for Biological and Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Front Plant Sci. 2021 Mar 9;12:656691. doi: 10.3389/fpls.2021.656691. eCollection 2021.
Plants, like all sexually reproducing organisms, create genetic variability by reshuffling parental alleles during meiosis. Patterns of genetic variation in the resulting gametes are determined by the independent assortment of chromosomes in meiosis I and by the number and positioning of crossover (CO) events during meiotic recombination. On the chromosome level, spatial distribution of CO events is biased by multiple regulatory mechanisms, such as CO assurance, interference and homeostasis. However, little is known about how multiple COs are distributed among the four chromatids of a bivalent. Chromatid interference (CI) has been proposed as a regulatory mechanism that biases distribution of multiple COs toward specific chromatid partners, however, its existence has not been well-studied and its putative mechanistic basis remains undescribed. Here, we introduce a novel method to quantitatively express CI, and take advantage of available tetrad-based genotyping data from Arabidopsis and maize male meiosis to quantify CI effects on a genome-wide and chromosomal scale. Overall, our analyses reveal random involvement of sister chromatids in double CO events across paired chromosomes, indicating an absence of CI. However, on a genome-wide level, CI was found to vary with physical distance between COs, albeit with different effects in Arabidopsis and maize. While effects of CI are minor in Arabidopsis and maize, the novel methodology introduced here enables quantitative interpretation of CI both on a local and genome-wide scale, and thus provides a key tool to study CI with relevance for both plant genetics and crop breeding.
植物与所有有性繁殖生物一样,在减数分裂过程中通过重新组合亲本等位基因来产生遗传变异。由此产生的配子中的遗传变异模式由减数分裂I中染色体的独立分配以及减数分裂重组过程中交叉(CO)事件的数量和位置决定。在染色体水平上,CO事件的空间分布受到多种调控机制的影响,如CO保证、干扰和稳态。然而,关于多个CO如何在二价体的四条染色单体之间分布,我们知之甚少。染色单体干扰(CI)被认为是一种调控机制,它使多个CO向特定的染色单体伙伴的分布产生偏差,然而,其存在尚未得到充分研究,其假定的机制基础也仍未被描述。在这里,我们引入了一种新方法来定量表达CI,并利用来自拟南芥和玉米雄性减数分裂的基于四分体的现有基因分型数据,在全基因组和染色体水平上量化CI的影响。总体而言,我们的分析揭示了姐妹染色单体在配对染色体上的双CO事件中随机参与,这表明不存在CI。然而,在全基因组水平上,发现CI随CO之间的物理距离而变化,尽管在拟南芥和玉米中有不同的影响。虽然CI在拟南芥和玉米中的影响较小,但这里介绍的新方法能够在局部和全基因组水平上对CI进行定量解释,从而为研究与植物遗传学和作物育种相关的CI提供了一个关键工具。