A holistic view of potato genetics: meta-analysis of QTLs controlling agronomic and morphological traits
Zahra Hajibarat A , Abbas Saidi
A * , Mehrshad Zeinalabedini B * , Vahid Shariati C , Ahmad Mousapour Gorji D and Mohammad Reza Ghaffari B
A
B
C
D
Abstract
Development of high-yielding potato cultivars represents the most efficient and sustainable strategy to secure global food and nutrition. In the past decades, numerous quantitative trait loci (QTL) mapping studies have identified various QTLs associated with morphological traits in potato. However, the varying genetic backgrounds of germplasm and the diverse QTL analysis algorithms restrict the utility of identified QTLs for research.
One of the primary objectives of breeders is to identify consistent chromosomal regions linked to economically significant quantitative traits associated with yield through QTL analysis. To achieve this, an investigation was conducted to pinpoint the most stable QTLs for traits such as maturity, harvest index, plant height, stem diameter, tuber starch content, sprouting, and flesh colour.
In order to detect stable QTLs for major agronomic traits, metaQTL analysis was performed using 294 QTLs from 14 publications.
A total of 10 metaQTLs were found to be associated with seven morphological traits. Meta-analysis was considerably refined as compared to the initial QTLs and provided the closest flanking markers for investigated traits and reduce confidence interval mainly to five folds as compared to the mean confidence interval of initial QTLs. The metaQTLs of morphological traits juxtaposed along Chromosomes II, III, IV, and V from independent studies were considered the most stable QTLs over different field trails and genetic background.
Ten metaQTLs were identified that contain major consensus QTLs for various morphological traits in potato.
This study will enable the integration of QTLs to create new cultivars with targeted quantitative traits, thereby accelerating breeding initiatives.
Keywords: confidence interval, cultivars, flesh colour, maturity, MQTL, plant height, sprouting, starch content.
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