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作者	单位
高旭，程斌，高煜，葛昌斌，丁延庆，曹宁，辛智海，张立异	（1.贵州省农业科学院旱粮研究所，贵州贵阳 550006； 2.贵州大学农学院，贵州贵阳 550025；3.漯河市农业科学院，河南漯河 462300； 4.贵州大学生命科学学院，贵州贵阳 550025）

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中文摘要:

贵协3号对当前的条锈病流行小种表现为近免疫或高抗。为更好地利用贵协3号，拓宽小麦抗性育种资源，以Avocet S（来自澳大利亚的高感条锈病小麦品种）为母本、贵协3号为父本构建的F_2:7代重组自交系（RIL）群体为材料，运用集群分离分析法（BSA）并结合转录组测序（BSR-Seq）和小麦55K SNP芯片技术对抗条锈病QTL进行遗传定位。结果表明，共检测到有7个抗条锈病QTL，分别位于小麦1B（1）、2A（2）、2D（1）、5A（2）和6B（1）染色体上。其中位于2AS染色体上的 Qyr.gaas.2A在三个环境中均被检测到，置信区间为AX-108824773~AX-111675237（0~2.5 cM），对应的物理区间为15.87~31.89 Mb（16.02 Mb），可解释17.07%~34.59%的表型变异。为了进一步提高该QTL的定位精度，在2AS染色体目标区段内设计了103对SSR标记引物，并选择2AS染色体上已报道的22个SSR标记，在双亲、抗感池和RIL群体中进行筛选和验证。最终筛选出6个多态性标记（Xcfd36、Xwmc382、hls-2A-04、hls-2A-17、hls-2A-18和hls-2A-103）可将 Qyr.gaas.2A缩小到3.04 Mb的物理区间（15.87~18.91 Mb）内。在该目标区间共预测到13个候选基因，将在下一步的研究中进行分析验证。

英文摘要:

Guixie 3 shows near-immune or highly resistant to the current stripe rust epidemic in the field over the years.In this study, using a RIL population derived from a cross between Avocet S (a highly susceptible stripe rust wheat variety from Australia) and Guixie 3, QTLs underlying stripe rust resistance were identified by bulked segregant analysis(BSA) method combined with transcriptome sequencing (BSR-Seq) and wheat 55K SNP array.The result showed that seven QTLs were detected on chromosomes 1B (1), 2A (2), 2D (1), 5A (2) and 6B (1), of which a major QTL ( Qyr.gaas.2A) on 2AS chromosome was identified in three environments.Its confidence interval was AX-108824773-AX-111675237 (0-2.5 cM), and the corresponding physical interval was 15.87-31.89 Mb(16.02 Mb), explaining 17.07%-34.59% of the phenotypic variation.To improve the mapping accuracy, 103 pairs of SSR primers were designed in the target segment of the 2AS chromosome and 22 reported SSR markers were selected and were screened and verified in parents,resistance pools and RIL population.Finally, six polymorphic markers(Xcfd36, Xwmc382, hls-2A-04, hls-2A-17, hls-2A-18 and hls-2A-103) were integrated with genotype data of SNP array; Qyr.gaas.2A was remapped on the physical interval of 3.04 Mb at 2AS chromosome (15.87-18.91 Mb).13 candidate genes were predicted whinin this interval and will be validated in the future study.

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