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Germplasm-regression-combined marker-trait association identification in plants

机译：植物种质回归组合标记-性状关联的鉴定

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In the past 20 years, the major effort in plant breeding has changed from quantitative to molecular genetics with emphasis on quantitative trait loci (QTL) identification and marker assisted selection (MAS). However, results have been modest. This has been due to several factors including absence of tight linkage QTL, non-availability of mapping populations and lack of substantial time needed to develop such populations. To overcome these limitations and as an alternative to planned populations, molecular marker- trait associations have been identified by the combination between germplasm and the regression technique. In the present preview, we first surveyed the successful applications of germplasm-regression-combined (GRC) molecular marker-trait association identification in plants; secondly, we described how to do the GRC analysis and its differences from mapping QTL based on a linkage map reconstructed from the planned populations; thirdly, we considered the factors that affect the GRC association identification, including selections of optimal germplasm and molecular markers and testing of identification efficiency of markers associated with traits; and finally we discussed the future prospects of GRC marker-trait association analysis used in plant MAS/QTL breeding programs, especially in long-juvenile woody plants when no other genetic information such as linkage maps and Quantitative Trait Loci are available.
机译：在过去的20年中，植物育种的主要工作已从定量遗传学转变为分子遗传学，重点是定量性状基因座（QTL）鉴定和标记辅助选择（MAS）。但是，结果并不理想。这是由于多种因素造成的，包括缺乏紧密联系的QTL，无法获得作图群体和缺乏大量时间来发展这些群体。为了克服这些局限性并作为计划种群的替代方法，通过种质和回归技术的结合已经鉴定了分子标记-性状关联。在当前的预览中，我们首先调查了种质回归组合（GRC）分子标记-性状关联鉴定在植物中的成功应用;其次，我们描述了如何进行GRC分析及其与基于计划人口重建的连锁图绘制QTL的区别。第三，考虑了影响GRC关联鉴定的因素，包括最佳种质和分子标记的选择以及与性状相关的标记的鉴定效率的测试。最后，我们讨论了在植物MAS / QTL育种计划中使用GRC标记-性状关联分析的未来前景，特别是在没有其他遗传信息（例如连锁图和定量性状位点）的长寿木本植物中。

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