Research Progress in the Dynamic QTL Analysis of Plant Growth and Development

doi:10.13560/j.cnki.biotech.bull.1985.2023-0790

Abstract

Abstract:

Accurate and effective quantitative trait locus（QTL）mapping is the prerequisite for gene cloning and molecular breeding. Plant growth and development are affected by external environmental factors, and phenotypes at different developmental stages are formed due to the dynamic expressions of different major genes or QTLs. The conventional gene/QTL analysis based on the phenotypic data collected at stationary growth phase can only be used to estimate the cumulative effects of QTLs over a long period of time. It cannot reveal the actual effects and functional modes of the loci during the developmental process. Besides, the static QTL mapping method neglected the dynamic expression patterns of QTLs, leading to missing of information about dynamic variations of quantitative traits. Dynamic QTL analysis of the whole growth cycle provides an elite strategy for investigating the genetic mechanisms and dissecting major QTLs underlying plant growth and development. In this review, we briefly summarized the genetic models and analytical methods for dynamic QTL detection, as well as the research progress on mapping quantitative traits of plant development. We further proposed the current issues and future trends in the area of dynamic QTL analysis, which would provide references not only for dynamic QTL analysis during plant growth and development but also for molecular breeding based on marker-assisted selection.

Key words: dynamic QTL, conditional QTL, plant growth and development, genetic model, conditional analysis, functional mapping

FU Wei, WEI Su-yun, CHEN Ying-nan. Research Progress in the Dynamic QTL Analysis of Plant Growth and Development[J]. Biotechnology Bulletin, 2024, 40(2): 9-19.

Figures/Tables 1

References 74

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