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\begin{document}

\title{T-DNA mutant screen in Arabidopsis to validate candidate genes
with predicted ionomic and seed weight phenotypes}



\author[1]{Lauren Whitt}%
\author[1]{Collin Luebbert}%
\author[1]{Ivan Baxter}%
\author[1]{Magdalena Janik}%
\author[1]{Elizabeth Mahood}%
\author[1]{Greg Ziegler}%
\author[1]{Jason D. Gillman}%
\author[1]{Gareth J. Norton}%
\author[1]{Adam H. Price}%
\author[1]{David E. Salt}%
\author[1]{Brian P. Dilkes}%
\affil[1]{Affiliation not available}%


\vspace{-1em}



  
  \date{May 25, 2024}


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\begin{abstract}
Advances in quantitative genetics and high-throughput pipelines have
allowed for rapid identification of genomic markers associated with
changes in phenotype. However, linking those markers to causal genes is
still difficult, as many genes may be linked to one marker. We aimed to
improve candidate gene selection by creating a new method that
identifies conserved genes underlying GWAS loci in multiple species. So
far, we have tested this method in two different experiments: 1) using
GWAS from Arabidopsis, soybean, rice, maize, and sorghum measuring 19
elemental uptake (ionomic) traits and 2) GWAS from Arabidopsis, soybean,
rice, and maize measuring seed weight traits. We identified 14,336
candidates in the ionomics GWAS comparison. The most likely candidates
belonged to ortholog groups linked to GWAS loci in all five species for
their given trait according to calculations using random permutations of
the data. For the seed weight GWAS comparison, we identified 192
candidates, and again, the most likely candidates belonged to ortholog
groups linked to GWAS loci in all species in the comparison. Focusing on
these most likely candidate genes from Arabidopsis, we obtained T-DNA
lines with mutant alleles for each candidate gene and performed a
high-throughput phenotyping screen utilizing ICP-MS for ionomics and the
image analysis software PlantCV for seed weight. Preliminary results
show 59 ionomic candidates and 9 seed weight candidates have one line
with confirmed phenotypes. We plan to further verify these preliminary
confirmations by obtaining and screening additional T-DNA lines with
different alleles for each candidate gene.%
\end{abstract}%



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Presenter: Lauren Whitt

Co-authors: Magdalena Janik, Elizabeth Mahood, Greg Ziegler, Collin
Luebbert, Jason D. Gillman, Gareth J. Norton, Adam H. Price, David E.
Salt, Brian P. Dilkes, Ivan Baxter

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