Identification of QTLs controlling aroma volatiles using a 'Fortune' x 'Murcott' (Citrus reticulata) population.
Identification of QTLs controlling aroma volatiles using a 'Fortune' x 'Murcott' (Citrus reticulata) population.
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使用“财富” X“ Murcott”（柑橘网）种群来识别控制香气挥发物的QTL。
DOI：
10.1186/s12864-017-4043-5
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发表时间：
2017-08-22
期刊：
影响因子：
4.4
通讯作者：
Gmitter FG Jr
中科院分区：
文献类型：
--
作者：
Yu Y;Bai J;Chen C;Plotto A;Yu Q;Baldwin EA;Gmitter FG Jr
风味是柑橘（Citrus reticulata Blanco）的重要特征，但由于柑橘风味成分和性状的复杂性，通过传统育种提高柑橘风味非常具有挑战性。柑橘类水果的许多香气相关挥发物已经被鉴定出来，它们与风味直接相关，但对这些挥发物的遗传联系和相关基因的了解，以及潜在的快速和经济的标记辅助选择（MAS）的适用标记的了解非常有限。该项目的目的是鉴定与这些挥发性性状相关的单核苷酸多态性（SNP）标记。2012年和2013年，采用气相色谱-质谱法研究了两种柑桔亲本（“Fortune”和“Murcott”）及其116个F1后代的香气挥发物。共检出148种挥发物，包括1种酸类、12种醇类、20种醛类、14种酯类、1种呋喃类、3种芳烃类、16种酮类、1种酚类、27种倍半萜、15种单萜和38种未知物质。利用1536个snp的Illumina GoldenGate基因分型数据，共鉴定出94种挥发性化合物的206个数量性状位点（qtl）。详细地说，25个qtl在两个以上的收获时间内是一致的。共鉴定出17种芳香活性化合物（包括18种倍半萜）的41个qtl，并将其定位到4个基因组区域。共获得14种单萜烯类的50个qtl，定位于5个基因组区域。一些qtl的候选基因也被鉴定出来。连锁组2单萜类和倍半萜类QTL区间包含香叶二磷酸合成酶1、萜烯合成酶3、萜烯合成酶4和萜烯合成酶14 4个基因。鉴定出一些果实香气QTL，并在QTL区间内发现萜类生物合成途径的候选基因。这些qtl为柑橘风味改良提供了有效可行的MAS方法。本文的在线版本（doi:10.1186/s12864-017-4043-5）包含补充材料，授权用户可以使用。
Flavor is an important attribute of mandarin (Citrus reticulata Blanco), but flavor improvement via conventional breeding is very challenging largely due to the complexity of the flavor components and traits. Many aroma associated volatiles of citrus fruit have been identified, which are directly related to flavor, but knowledge of genetic linkages and relevant genes for these volatiles, along with applicable markers potentially for expeditious and economical marker-assisted selection (MAS), is very limited. The objective of this project was to identify single nucleotide polymorphism (SNP) markers associated with these volatile traits. Aroma volatiles were investigated in two mandarin parents (‘Fortune’ and ‘Murcott’) and their 116 F1 progeny using gas chromatography mass spectrometry in 2012 and 2013. A total of 148 volatiles were detected, including one acid, 12 alcohols, 20 aldehydes, 14 esters, one furan, three aromatic hydrocarbons, 16 ketones, one phenol, 27 sesquiterpenes, 15 monoterpenes, and 38 unknowns. A total of 206 quantitative trait loci (QTLs) were identified for 94 volatile compounds using genotyping data generated from a 1536-SNP Illumina GoldenGate assay. In detail, 25 of the QTLs were consistent over more than two harvest times. Forty-one QTLs were identified for 17 aroma active compounds that included 18 sesquiterpenes and were mapped onto four genomic regions. Fifty QTLs were for 14 monoterpenes and mapped onto five genomic regions. Candidate genes for some QTLs were also identified. A QTL interval for monoterpenes and sesquiterpenes on linkage group 2 contained four genes: geranyl diphosphate synthase 1, terpene synthase 3, terpene synthase 4, and terpene synthase 14. Some fruit aroma QTLs were identified and the candidate genes in the terpenoid biosynthetic pathway were found within the QTL intervals. These QTLs could lead to an efficient and feasible MAS approach to mandarin flavor improvement. The online version of this article (doi:10.1186/s12864-017-4043-5) contains supplementary material, which is available to authorized users.
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影响因子：
3.3
作者：
Buettner, A;Mestres, M;Schieberle, P
通讯作者：
Schieberle, P
影响因子：
3.1
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影响因子：
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作者：
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Werck-Reichhart, Daniele