Saintenac Cyrille, Faure Sébastien, Remay Arnaud, Choulet Frédéric, Ravel Catherine, Paux Etienne, Balfourier François, Feuillet Catherine, Sourdille Pierre
UMR 1095, Genetics, Diversity and Ecophysiology of Cereals, INRA-UBP, Domaine de Crouël, 234 Avenue du Brézet, Clermont-Ferrand, 63100, France.
Chromosoma. 2011 Apr;120(2):185-98. doi: 10.1007/s00412-010-0302-9. Epub 2010 Dec 16.
In bread wheat (Triticum aestivum L.), initial studies using deletion lines indicated that crossover (CO) events occur mainly in the telomeric regions of the chromosomes with a possible correlation with the presence of genes. However, little is known about the distribution of COs at the sequence level. To investigate this, we studied in detail the pattern of COs along a contig of 3.110 Mb using two F2 segregating populations (Chinese Spring × Renan (F2-CsRe) and Chinese Spring × Courtot (F2-CsCt)) each containing ~2,000 individuals. The availability of the sequence of the contig from Cs enabled the development of 318 markers among which 23 co-dominant polymorphic markers (11 SSRs and 12 SNPs) were selected for CO distribution analyses. The distribution of CO events was not homogeneous throughout the contig, ranging from 0.05 to 2.77 cM/Mb, but was conserved between the two populations despite very different contig recombination rate averages (0.82 cM/Mb in F2-CsRe vs 0.35 cM/Mb in F2-CsCt). The CO frequency was correlated with the percentage of coding sequence in Cs and with the polymorphism rate between Cs and Re or Ct in both populations, indicating an impact of these two factors on CO distribution. At a finer scale, COs were found in a region covering 2.38 kb, spanning a gene coding for a glycosyl transferase (Hga3), suggesting the presence of a CO hotspot. A non-crossover event covering at least 453 bp was also identified in the same interval. From these results, we can conclude that gene content could be one of the factors driving recombination in bread wheat.
在普通小麦(Triticum aestivum L.)中,最初利用缺失系进行的研究表明,交叉(CO)事件主要发生在染色体的端粒区域,可能与基因的存在有关。然而,在序列水平上,关于CO的分布情况知之甚少。为了对此进行研究,我们使用了两个F2分离群体(中国春×热南(F2-CsRe)和中国春×科托(F2-CsCt)),每个群体包含约2000个个体,详细研究了沿着一条3.110 Mb重叠群的CO模式。来自中国春的重叠群序列使得能够开发318个标记,其中选择了23个共显性多态性标记(11个SSR和12个SNP)用于CO分布分析。CO事件在整个重叠群中的分布并不均匀,范围为0.05至2.77 cM/Mb,但尽管两个群体的重叠群重组率平均值差异很大(F2-CsRe中为0.82 cM/Mb,F2-CsCt中为0.35 cM/Mb),CO分布在两个群体之间却是保守的。CO频率与中国春中编码序列的百分比以及两个群体中中国春与热南或科托之间的多态性率相关,表明这两个因素对CO分布有影响。在更精细的尺度上,在一个覆盖2.38 kb的区域发现了CO,该区域跨越一个编码糖基转移酶(Hga3)的基因,表明存在一个CO热点。在同一区间还鉴定出一个至少覆盖453 bp的非交叉事件。从这些结果可以得出结论,基因含量可能是驱动普通小麦重组的因素之一。