High-resolution mapping of meiotic crossovers and non-crossovers in yeast.
High-resolution mapping of meiotic crossovers and non-crossovers in yeast.
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DOI：
10.1038/nature07135
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发表时间：
2008-07-24
期刊：
影响因子：
64.8
通讯作者：
Steinmetz, Lars M.
中科院分区：
文献类型：
--
作者：
Mancera, Eugenio;Bourgon, Richard;Brozzi, Alessandro;Huber, Wolfgang;Steinmetz, Lars M.
减数分裂重组在有性生殖生物的进化中起着核心作用。交叉重组（CO）和非交叉重组（NCO）两种重组方式增加了遗传多样性，但有可能通过基因转化使等位基因同质化。虽然已知CO率在整个基因组中变化很大，但nco和基因转换仅在少数位点中被确定。为了在高空间分辨率下研究重组全基因组，我们利用从56个酵母减数分裂的所有四种产物中收集的密集遗传标记数据，绘制了COs、co相关基因转换和NCO基因转换的图谱。我们的地图揭示了co和nco分布的差异，显示了co或nco受到青睐的地区比偶然预期的要多。此外，我们还发现了co和nco之间存在干扰的证据，这种现象以前只发生在co之间。每个减数分裂产物中高达1%的基因组在单个减数分裂中受到基因转换，具有可检测到的GC核苷酸偏倚。这些图谱代表了任何生物体中重组的多种结果的第一个高分辨率、全基因组特征。此外，由于NCO热点在单倍型块中产生减少连锁的孔，我们的研究结果强调需要将NCO纳入遗传连锁分析。
Meiotic recombination plays a central role in the evolution of sexually reproducing organisms. The two recombination outcomes, crossover (CO) and noncrossover (NCO), increase genetic diversity, but have the potential to homogenize alleles by gene conversion. While CO rates are known to vary considerably across the genome, NCOs and gene conversions have only been identified in a handful of loci. To examine recombination genome-wide and at high spatial resolution, we generated maps of COs, CO-associated gene conversion and NCO gene conversion using dense genetic marker data collected from all four products of 56 yeast meioses. Our maps reveal differences in the distributions of COs and NCOs, showing more regions where either COs or NCOs are favoured than expected by chance. Furthermore, we detect evidence for interference between COs and NCOs, a phenomenon previously only known to occur between COs. Up to 1% of the genome of each meiotic product is subject to gene conversion in a single meiosis, with detectable bias towards GC nucleotides. The maps represent the first high-resolution, genome-wide characterization of the multiple outcomes of recombination in any organism. In addition, because NCO hot spots create holes of reduced linkage within haplotype blocks, our results stress the need to incorporate NCOs into genetic linkage analysis.
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