Instituto Andaluz de Investigación y Formación Agraria y Pesquera, Centro de Churriana, 29140 Málaga, Spain.
Plant Physiol. 2012 Jun;159(2):851-70. doi: 10.1104/pp.111.188318. Epub 2012 Apr 3.
Improvement of strawberry (Fragaria × ananassa) fruit flavor is an important goal in breeding programs. To investigate genetic factors controlling this complex trait, a strawberry mapping population derived from genotype '1392', selected for its superior flavor, and '232' was profiled for volatile compounds over 4 years by headspace solid phase microextraction coupled to gas chromatography and mass spectrometry. More than 300 volatile compounds were detected, of which 87 were identified by comparison of mass spectrum and retention time to those of pure standards. Parental line '1392' displayed higher volatile levels than '232', and these and many other compounds with similar levels in both parents segregated in the progeny. Cluster analysis grouped the volatiles into distinct chemically related families and revealed a complex metabolic network underlying volatile production in strawberry fruit. Quantitative trait loci (QTL) detection was carried out over 3 years based on a double pseudo-testcross strategy. Seventy QTLs covering 48 different volatiles were detected, with several of them being stable over time and mapped as major QTLs. Loci controlling γ-decalactone and mesifurane content were mapped as qualitative traits. Using a candidate gene approach we have assigned genes that are likely responsible for several of the QTLs. As a proof of concept we show that one homoeolog of the O-methyltransferase gene (FaOMT) is the locus responsible for the natural variation of mesifurane content. Sequence analysis identified 30 bp in the promoter of this FaOMT homoeolog containing putative binding sites for basic/helix-loop-helix, MYB, and BZIP transcription factors. This polymorphism fully cosegregates with both the presence of mesifurane and the high expression of FaOMT during ripening.
改良草莓( Fragaria ×ananassa )果实风味是育种计划的重要目标。为了研究控制这一复杂性状的遗传因素,本研究利用基因型‘1392’(因其风味优良而被选择)和‘232’构建了草莓作图群体,并在 4 年内通过顶空固相微萃取结合气相色谱和质谱法对挥发性化合物进行了分析。共检测到 300 多种挥发性化合物,其中 87 种通过与纯标准品的质谱和保留时间比较进行了鉴定。亲本品系‘1392’的挥发性化合物水平高于‘232’,而这些以及许多其他在双亲中具有相似水平的化合物在后代中发生了分离。聚类分析将挥发性化合物分为不同的化学相关家族,并揭示了草莓果实挥发性化合物产生的复杂代谢网络。基于双假测交策略,本研究在 3 年内进行了数量性状位点(QTL)检测。共检测到 70 个 QTL,涵盖 48 种不同的挥发性化合物,其中一些 QTL 具有时间稳定性,并被映射为主要 QTL。控制γ-癸内酯和甲氧基呋喃含量的位点被映射为定性性状。通过候选基因方法,我们鉴定了可能负责多个 QTL 的基因。作为一个概念验证,我们展示了一个 O-甲基转移酶基因( FaOMT )的同源基因是导致甲氧基呋喃含量自然变异的位点。序列分析确定了该 FaOMT 同源基因启动子中的 30 个碱基对,其中包含可能与碱性/螺旋-环-螺旋、MYB 和 BZIP 转录因子结合的位点。该多态性与甲氧基呋喃的存在以及 FaOMT 在成熟过程中的高表达完全共分离。