A DYNAMIC ONLINE PLATFORM TO MANAGE AND STORE TRITICUM GERMPLASM
Author(s)
Date Issued
2024
Type
conferenceObject
Abstract
In recent years, genotype and phenotype data were generated on a large
scale to identify genetic markers and understand the function and evolution
of
wheat genes. These datasets are valuable for current and future
research, as they will play a key role in breeding varieties adapted to
climate change. Specifically, several SNP arrays were developed using wheat
reference genomes for both durum and bread wheat resulting in effective
tools for association studies for traits of agronomic interest through
quantitative trait loci (QTL) mapping and genome-wide association analysis
(GWAS). Unfortunately, wheat SNP array platforms suffer from a non-uniform
distribution of markers across the genome leading to some regions being
over-or underrepresented. In addition, older SNP arrays are also limited by
the genetic diversity of the populations used for their development, and
sometimes the different probes used for each array are not comparable,
making integration of genetic information very difficult. Here, we present
a web-based SNP marker management platform developed and hosted by the CREA
CI Research Center for Cereal and Industrial Crops, in collaboration with
Sequentia Biotech SL. A digital archive in which genetic variations within
and between different tetraploid wheat species, continuously updated and
integrated, will be available to the research community involved in wheat
breeding. To this end, roughly 6000 tetraploid Triticum accessions
including spring, facultative, and winter genotypes of different tetraploid
wheat species (T. turgidum, T. carthlicum, T. turanicum, T. polonicum, T.
dicoccoides, T. dicoccum and T. durum) were phenotypically catalogued and
inventoried in the web-platform. Genotypic data produced over time with
different SNP arrays (15K, 20K, 25K, 90K, and 660K) were integrated, and
4737 SNPs were selected to reduce genetic marker redundancies. The
interactive database developed in this study provides a practical tool for
identifying the authenticity and purity of tetraploid wheat genotypes and
valuable genetic information about the current durum wheat varieties. In
addition, breeders will be able to reconstruct the molecular pedigrees of
unknown genetic materials and upload their private genotypic data to
disclose the most similar and divergent genotypes in the database, thus
supporting the identification of synonyms, homonyms, and misnamed genotypes
Conference(s)
LXVII SIGA Annual Congress