Mertten Daniel, McKenzie Catherine M, Souleyre Edwige J F, Amadeu Rodrigo R, Lenhard Michael, Baldwin Samantha, Datson Paul M
The New Zealand Institute for Plant and Food Research Ltd, Auckland, 1142 New Zealand.
University of Potsdam, Institute for Biochemistry and Biology, 14476 Potsdam-Golm, Germany.
Mol Breed. 2024 May 13;44(5):36. doi: 10.1007/s11032-024-01476-7. eCollection 2024 May.
Flowering plants exhibit a wide range of sexual reproduction systems, with the majority being hermaphroditic. However, some plants, such as (kiwiberry), have evolved into dioecious species with distinct female and male vines. In this study, we investigated the flower load and growth habits of female kiwiberry genotypes to identify the genetic basis of high yield with low maintenance requirements. Owing to the different selection approaches between female and male genotypes, we further extended our study to male kiwiberry genotypes. By combining both investigations, we present a novel breeding tool for dioecious crops. A population of seedlings was phenotyped for flower load traits, in particular the proportion of non-floral shoots, proportion of floral shoots, and average number of flowers per floral shoot. Quantitative trait locus (QTL) mapping was used to analyse the genetic basis of these traits. We identified putative QTLs on chromosome 3 associated with flower-load traits. A pleiotropic effect of the male-specific region of the Y chromosome (MSY) on chromosome 3 affecting flower load-related traits between female and male vines was observed in an breeding population. Furthermore, we utilized Genomic Best Linear Unbiased Prediction (GBLUP) to predict breeding values for the quantitative traits by leveraging genomic data. This approach allowed us to identify and select superior genotypes. Our findings contribute to the understanding of flowering and fruiting dynamics in species, providing insights for kiwiberry breeding programs aiming to improve yield through the utilization of genomic methods and trait mapping.
The online version contains supplementary material available at 10.1007/s11032-024-01476-7.
开花植物表现出广泛的有性繁殖系统,大多数为雌雄同体。然而,一些植物,如(猕猴桃),已进化为雌雄异株物种,有明显的雌性和雄性藤蔓。在本研究中,我们调查了雌性猕猴桃基因型的花量和生长习性,以确定低维护需求下高产的遗传基础。由于雌性和雄性基因型的选择方法不同,我们进一步将研究扩展到雄性猕猴桃基因型。通过结合这两项研究,我们提出了一种用于雌雄异株作物的新型育种工具。对一组实生苗进行了花量性状的表型分析,特别是无花梢比例、有花梢比例和每个有花梢的平均花数。利用数量性状位点(QTL)定位分析这些性状的遗传基础。我们在3号染色体上鉴定出与花量性状相关的假定QTL。在一个杂交育种群体中观察到Y染色体雄性特异性区域(MSY)对3号染色体的多效性效应影响雌性和雄性藤蔓之间与花量相关的性状。此外,我们利用基因组最佳线性无偏预测(GBLUP)通过利用基因组数据预测数量性状的育种值。这种方法使我们能够识别和选择优良基因型。我们的研究结果有助于理解猕猴桃属物种的开花和结果动态,为旨在通过利用基因组方法和性状定位提高产量的猕猴桃育种计划提供见解。
在线版本包含可在10.1(此处疑似有误,推测应为10.1007/s11032-024-01476-7)获取的补充材料。