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Association Mapping of Total Carotenoids in Diverse Soybean Genotypes Based on Leaf Extracts and High-Throughput Canopy Spectral Reflectance Measurements

机译:基于叶提取物和高通量冠层光谱反射率测量的不同基因型大豆中总类胡萝卜素的关联图

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摘要

Carotenoids are organic pigments that are produced predominantly by photosynthetic organisms and provide antioxidant activity to a wide variety of plants, animals, bacteria, and fungi. The carotenoid biosynthetic pathway is highly conserved in plants and occurs mostly in chromoplasts and chloroplasts. Leaf carotenoids play important photoprotective roles and targeted selection for leaf carotenoids may offer avenues to improve abiotic stress tolerance. A collection of 332 soybean [Glycine max (L.) Merr.] genotypes was grown in two years and total leaf carotenoid content was determined using three different methods. The first method was based on extraction and spectrophotometric determination of carotenoid content (eCaro) in leaf tissue, whereas the other two methods were derived from high-throughput canopy spectral reflectance measurements using wavelet transformed reflectance spectra (tCaro) and a spectral reflectance index (iCaro). An association mapping approach was employed using 31,253 single nucleotide polymorphisms (SNPs) to identify SNPs associated with total carotenoid content using a mixed linear model based on data from two growing seasons. A total of 28 SNPs showed a significant association with total carotenoid content in at least one of the three approaches. These 28 SNPs likely tagged 14 putative loci for carotenoid content. Six putative loci were identified using eCaro, five loci with tCaro, and nine loci with iCaro. Three of these putative loci were detected by all three carotenoid determination methods. All but four putative loci were located near a known carotenoid-related gene. These results showed that carotenoid markers can be identified in soybean using extract-based as well as by high-throughput canopy spectral reflectance-based approaches, demonstrating the utility of field-based canopy spectral reflectance phenotypes for association mapping.
机译:类胡萝卜素是有机色素,主要由光合生物产生,并为多种植物,动物,细菌和真菌提供抗氧化活性。类胡萝卜素的生物合成途径在植物中是高度保守的,并且主要发生在色体和叶绿体中。叶片类胡萝卜素起着重要的光保护作用,针对叶片类胡萝卜素的针对性选择可能提供改善非生物胁迫耐受性的途径。在两年内生长了332个大豆[Glycine max(L.)Merr。]基因型的集合,并使用三种不同的方法确定了叶片中总类胡萝卜素的含量。第一种方法是基于提取和分光光度法测定叶片组织中的类胡萝卜素含量(eCaro),而其他两种方法则来自使用小波变换反射光谱(tCaro)和光谱反射率指数(iCaro)的高通量冠层光谱反射率测量)。基于两个生长季节的数据,使用混合线性模型,使用31253个单核苷酸多态性(SNP)进行关联映射,以鉴定与总类胡萝卜素含量相关的SNP。在三种方法中的至少一种中,总共28个SNP显示出与总类胡萝卜素含量显着相关。这28个SNP可能标记了14个假定位点的类胡萝卜素含量。使用eCaro鉴定了六个推定基因座,与tCaro鉴定了五个基因座,与iCaro鉴定了九个基因座。通过所有三种类胡萝卜素测定方法检测到了其中三个假定位点。除四个推定基因座外,所有基因座均位于一个已知的类胡萝卜素相关基因附近。这些结果表明,可以使用基于提取物的以及基于高通量冠层光谱反射率的方法在大豆中鉴定类胡萝卜素标记,这表明基于田间冠层光谱反射率表型可用于关联作图。

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