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Mapping factors controlling genetic expression

D de Vienne1, A Maurice, J M Josse

  • 1INRA/CNRS URA 1492/Université Paris XI, Gif-sur-Yvette, France.

Cellular and Molecular Biology (Noisy-Le-Grand, France)
|February 1, 1994
PubMed
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This study introduces a novel method using 2D electrophoresis and genetic mapping to analyze gene product variation in maize. It reveals complex genetic control, including dominance and epistasis, for protein abundance, unlike simpler inheritance of agromorphological traits.

Area of Science:

  • Genetics
  • Molecular Biology
  • Plant Science

Background:

  • Understanding the genetic basis of quantitative trait variation is crucial.
  • Gene products (polypeptides) exhibit quantitative variation influenced by genetic factors.
  • Previous studies often focused on agromorphological traits, with less emphasis on the genetic control of protein abundance.

Purpose of the Study:

  • To develop and apply a methodology for dissecting the genetic architecture controlling quantitative variation of gene products.
  • To map Mendelian factors influencing polypeptide abundance in maize.
  • To compare the genetic control of protein abundance with that of agromorphological traits.

Main Methods:

  • Utilized high-resolution two-dimensional (2D) gel electrophoresis for polypeptide separation and quantification.

Related Experiment Videos

  • Employed silver staining for visualizing protein spots in maize coleoptile extracts.
  • Integrated genetic linkage mapping with Restriction Fragment Length Polymorphism (RFLP) and protein markers to identify quantitative trait loci (QTLs).

    • Main Results:

    • Successfully mapped Mendelian factors for quantitative variation in 42 out of 72 analyzed polypeptides.
    • Identified one to five unlinked chromosomal regions affecting individual polypeptides, with 27% showing >2-fold intensity increase.
    • Observed dominance effects in half of the factors, with high abundance generally dominant, and detected epistatic interactions for 14% of proteins.

    Conclusions:

    • The genetic architecture of quantitative control for gene products is complex, involving multiple factors, dominance, and epistasis.
    • This contrasts with simpler genetic control observed for agromorphological traits in the same maize progeny.
    • The proposed methodology provides a powerful tool for investigating the genetic basis of protein variation.