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High throughput genotyping of structural variations in a complex plant genome using an original Affymetrix? axiom? array

机译:使用原始染色仪的复杂植物基因组结构变异的高通量基因分型?公理?大批

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BACKGROUND:Insertions/deletions (InDels) and more specifically presence/absence variations (PAVs) are pervasive in several species and have strong functional and phenotypic effect by removing or drastically modifying genes. Genotyping of such variants on large panels remains poorly addressed, while necessary for approaches such as association mapping or genomic selection.RESULTS:We have developed, as a proof of concept, a new high-throughput and affordable approach to genotype InDels. We first identified 141,000 InDels by aligning reads from the B73 line against the genome of three temperate maize inbred lines (F2, PH207, and C103) and reciprocally. Next, we designed an Affymetrix? Axiom? array to target these InDels, with a combination of probes selected at breakpoint sites (13%) or within the InDel sequence, either at polymorphic (25%) or non-polymorphic sites (63%) sites. The final array design is composed of 662,772 probes and targets 105,927 InDels, including PAVs ranging from 35?bp to 129kbp. After Affymetrix? quality control, we successfully genotyped 86,648 polymorphic InDels (82% of all InDels interrogated by the array) on 445 maize DNA samples with 422,369 probes. Genotyping InDels using this approach produced a highly reliable dataset, with low genotyping error (~?3%), high call rate (~?98%), and high reproducibility (?95%). This reliability can be further increased by combining genotyping of several probes calling the same InDels (?99.9% of call rate for 5 probes). This "proof of concept" tool was used to estimate the kinship matrix between 362 maize lines with 57,824 polymorphic InDels. This InDels kinship matrix was highly correlated with kinship estimated using SNPs from Illumina 50?K SNP arrays.CONCLUSIONS:We efficiently genotyped thousands of small to large InDels on a sizeable number of individuals using a new Affymetrix? Axiom? array. This powerful approach opens the way to studying the contribution of InDels to trait variation and heterosis in maize. The approach is easily extendable to other species and should contribute to decipher the biological impact of InDels at a larger scale.
机译:背景:插入/缺失(Indel)和更具体地存在/不存在变化(PAVE)在几种物种中普及,并且通过去除或急剧改性基因具有强大的功能性和表型效果。大面板上这种变体的基因分型仍然是糟糕的解决,而关联映射或基因组选择的方法也是必要的。结果:我们已经开发出一种概念证明,新的高通量和实惠的基因型indels方法。我们首先通过将B73系列对准三次温带玉米近交系(F2,PH207和C103)和相互对准的基因组来确定141,000次诱导。接下来,我们设计了一个ydymetrix?公理?阵列以靶向这些诱导,在断点位点(13%)或吲哚序列内选择的探针组合,无论是多态(25%)或非多态位点(63%)位点。最终的阵列设计由662,772个探头和目标组成,包括105,927个诱导,包括从35磅到129kbp的威胁。 Affymetrix后?质量控制,我们成功分为86,648多态性诱导(82%的所有indel),445玉米DNA样品,具有422,369个探针。使用这种方法的基因分型indels产生了一种高度可靠的数据集,基因分型误差(〜3%),高通话率(〜98%),高再现性(> 95%)。通过组合呼叫相同诱导的几个探针的基因分型来进一步提高这种可靠性(?5个探针的呼叫率为99.9%)。这种“概念证明”工具用于估计362米玉米线之间的亲属矩阵,具有57,824多态性诱导。这款Indels Kinship矩阵与使用来自Illumina 50的SNPS估计的亲属关系与血清估计有高度相关性:使用新的Affymetrix在大量的个人上有效地基因分为数千个小的吉祥物?公理?大批。这种强大的方法开辟了研究诱惑造成造型造成玉米的变异和杂种优势的方式。该方法易于伸展到其他物种,并且应该有助于破译吲哚的生物撞击以更大的规模。

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