Cappai Francesco, Amadeu Rodrigo R, Benevenuto Juliana, Cullen Ryan, Garcia Alexandria, Grossman Adina, Ferrão Luís Felipe V, Munoz Patricio
Blueberry Breeding and Genomics Lab, Horticultural Sciences Department, University of Florida, Gainesville, FL, United States.
Forage Breeding and Genetics Lab, Agronomy Department, University of Florida, Gainesville, FL, United States.
Front Plant Sci. 2020 Nov 16;11:562171. doi: 10.3389/fpls.2020.562171. eCollection 2020.
Blueberry ( and hybrids) is an autotetraploid crop whose commercial relevance has been growing steadily during the last 20 years. However, the ever-increasing cost of labor for hand-picking blueberry is one main constraint in competitive marketing of the fruit. Machine harvestability is, therefore, a key trait for the blueberry industry. Understanding the genetic architecture of traits related to machine harvestability through Quantitative Trait Loci (QTL) mapping is the first step toward implementation of molecular breeding for faster genetic gains. Despite recent advances in software development for autotetraploid genetic mapping, a high-resolution map is still not available for blueberry. In this study, we crafted a map for autotetraploid low-chill highbush blueberry containing 11,292 SNP markers and a total size of 1,953.97 cM (average density of 5.78 markers/cM). This map was subsequently used to perform QTL analyses in 2-year field trials for a trait crucial to machine harvesting: fruit firmness. Preliminary insights were also sought for single evaluations of firmness retention after cold storage, and fruit detachment force traits. Significant QTL peaks were identified for all the traits and overlapping QTL intervals were detected for firmness across the years. We found low-to-moderate QTL effects explaining the phenotypic variance, which suggest a quantitative nature of these traits. The QTL intervals were further speculated for putative gene repertoire. Altogether, our findings provide the basis for future fine-mapping and molecular breeding efforts for machine harvesting in blueberry.
蓝莓(及其杂交品种)是一种同源四倍体作物,在过去20年里其商业价值一直在稳步增长。然而,人工采摘蓝莓的劳动力成本不断增加是该水果在竞争激烈的市场中面临的一个主要制约因素。因此,机械采收能力是蓝莓产业的一个关键特性。通过数量性状位点(QTL)定位来了解与机械采收能力相关性状的遗传结构,是实现分子育种以更快获得遗传增益的第一步。尽管在同源四倍体遗传图谱软件开发方面取得了最新进展,但蓝莓仍没有高分辨率图谱。在本研究中,我们构建了一张同源四倍体低需冷量高丛蓝莓图谱,包含11292个单核苷酸多态性(SNP)标记,总长度为1953.97厘摩(平均密度为5.78个标记/厘摩)。随后,该图谱被用于在为期两年的田间试验中对机械采收至关重要的一个性状:果实硬度进行QTL分析。我们还对冷藏后果实硬度保持情况和果实脱离力性状的单次评估进行了初步研究。所有性状均鉴定出显著的QTL峰值,并且多年间检测到果实硬度的QTL区间存在重叠。我们发现QTL效应较低到中等,可解释表型变异,这表明这些性状具有数量性状的性质。我们进一步推测了QTL区间内的假定基因库。总之,我们的研究结果为未来蓝莓机械采收的精细定位和分子育种工作提供了基础。