Mapping of QTLs Associated with °Brix and Biomass-Related Traits in Sorghum Using SSR Markers

Mapping of QTLs Associated with °Brix and Biomass-Related Traits in Sorghum Using SSR Markers
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使用 SSR 标记绘制高粱中与 °Brix 和生物量相关性状相关的 QTL

DOI:
10.1007/s12355-018-0590-6
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发表时间:
2018
期刊:
影响因子:
1.9
通讯作者:
Venugopal Mendu
Venugopal Mendu
中科院分区:
农林科学4区
文献类型:
--
作者:
T. Disasa;T. Feyissa;B. Admassu;M. Fetene;Venugopal Mendu

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原油的不可再生性和温室气体排放性质导致使用可再生植物基生物燃料作为替代能源。甜高粱提供了一个最好的植物为基础的生物乙醇生产从其含糖的秸秆。高粱糖相关性状的数量性状位点的鉴定和定位是提高高粱含糖量的关键一步。本研究以粒用高粱Sorcoll 163和甜高粱Gambella杂交的F2:3分离作图群体为材料,对影响糖度、茎粗和株高的QTL进行了定位。在两种不同的环境中进行表型评价。利用76个SSR标记对192个F2群体进行了遗传图谱构建。锤度、茎粗和株高的遗传力分别为0.88、0.41和0.65。共检测到7个控制糖度的QTL,分布在5个连锁群中。每个QTL对总表型变异的贡献率为17.2-44.3%。位于连锁群SBI-05和SBI-06上的两个QTL在两种环境中重复。这些QTL具有较高的遗传力和在两种环境下的稳定性,可作为今后育种的目标。本研究所用的SSR标记数量相对较少,需要对目标区域进行精细定位,以便进一步解剖该区域。本研究所检测到的QTL均属于主效QTL,可用于甜高粱改良。
The non-renewability and greenhouse gas emission nature of crude oil led to the use of renewable plant-based biofuels as alternative energy. Sweet sorghum offers one of the best plant-based bioethanol production from its sugary stalk. Identification and mapping of quantitative trait loci associated with sugar-related traits in sorghum is a crucial step toward the improvement of the sugar content of the crop. The present study was carried out to identify and map QTLs associated with °Brix, stalk diameter and plant height using F2:3segregating mapping populations derived from a cross between grain sorghum (Sorcoll 163) and sweet sorghum (Gambella). Phenotypic evaluation was conducted in two different environments. A genetic map was constructed using 192 F2populations genotyped using 76 SSR markers. Estimated heritability for °Brix, stem diameter and plant height amounted to 0.88, 0.41 and 0.65, respectively. A total of seven QTLs distributed across five linkage groups that controls °Brix content were detected using Inclusive Composite Interval Mapping. Each QTL contributed 17.2–44.3% of the total phenotypic variation. The two QTLs located on linkage group SBI-05 and SBI-06 repeated in both environments. These QTLs can be the target of the breeding programs in the future due to high heritability as well as stability in two different environments. The number of SSR markers used in present study is relatively fewer and fine mapping of the target regions should be considered in order to further dissecting the region. All the detected QTLs in this study are categorized as major QTLs, and it could be used further in sweet sorghum improvement program.