Causes and consequences of crossing-over evidenced via a high-resolution recombinational landscape of the honey bee.

Causes and consequences of crossing-over evidenced via a high-resolution recombinational landscape of the honey bee.
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通过蜜蜂的高分辨率重组景观证明了交叉的原因和后果。

DOI:
10.1186/s13059-014-0566-0
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发表时间:
2015-01-02
期刊:
影响因子:
12.3
通讯作者:
Yang S
Yang S
中科院分区:
生物学1区
文献类型:
--
作者:
Liu H;Zhang X;Huang J;Chen JQ;Tian D;Hurst LD;Yang S

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社会hypertera,特别是蜜蜂(蜜蜂),具有超高的交换率和很大程度的基因组内的交叉率的变化。与雄性的单倍体基因组学相一致,这使它们成为检查交换的原因和后果的潜在模型。为了解决为什么社会昆虫有这么高的交换率和后果,这一点,我们构建了一个高分辨率的重组图谱测序55个人从三个殖民地的平均标记密度为314 bp/标记。我们发现,在工人大脑中上调的基因附近,交换率特别高,但没有看到与免疫相关功能耦合的证据。我们只检测到低比率的非交叉基因转换,与目前的证据相反。这与之前从低分辨率数据估计的几乎两倍的交叉率形成鲜明对比。我们稳健地恢复预测的基因组内的相关性之间的交叉和人口水平的多样性和GC含量,这可以最好地解释为间接和直接的后果交叉,分别。我们的数据与这样的观点一致,即工蜂行为的多样化,而不是免疫功能,是蜜蜂高交换率的驱动因素。虽然我们看到高多样性和高GC含量与高交换率相关,但我们对低非交换率的估计表明,高非交换率不是高重组率的必然结果。本文的在线版本(doi:10.1186/s13059-014-0566-0)包含补充材料,可供授权用户使用。
Social hymenoptera, the honey bee (Apis mellifera) in particular, have ultra-high crossover rates and a large degree of intra-genomic variation in crossover rates. Aligned with haploid genomics of males, this makes them a potential model for examining the causes and consequences of crossing over. To address why social insects have such high crossing-over rates and the consequences of this, we constructed a high-resolution recombination atlas by sequencing 55 individuals from three colonies with an average marker density of 314 bp/marker. We find crossing over to be especially high in proximity to genes upregulated in worker brains, but see no evidence for a coupling with immune-related functioning. We detect only a low rate of non-crossover gene conversion, contrary to current evidence. This is in striking contrast to the ultrahigh crossing-over rate, almost double that previously estimated from lower resolution data. We robustly recover the predicted intragenomic correlations between crossing over and both population level diversity and GC content, which could be best explained as indirect and direct consequences of crossing over, respectively. Our data are consistent with the view that diversification of worker behavior, but not immune function, is a driver of the high crossing-over rate in bees. While we see both high diversity and high GC content associated with high crossing-over rates, our estimate of the low non-crossover rate demonstrates that high non-crossover rates are not a necessary consequence of high recombination rates. The online version of this article (doi:10.1186/s13059-014-0566-0) contains supplementary material, which is available to authorized users.
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