Kansas State University geneticists and colleagues have found
that by applying a genetic-analysis method used to study and prioritize the
genes in humans, they can study how food production plants respond to drought,
heat and other factors — giving scientists a greater chance at improving crops'
resistances to harsh weather and environments.
Researchers studied the corn genome using a
relatively new method, called genome-wide associate studies, GWAS, which
searches the entire genome for small, frequent variations that may influence the
risk of a certain disease. This helps researchers pinpoint genes that are
potentially problematic and may be the key in abnormal traits and
diseases. "Conducting routine, full-scale, genome-wide studies in crop
plants remains challenging due to cost and genome complexity," said Patrick
Schnable, study senior author and professor of agronomy at Iowa State
University. "What we tried to get out of this study is a broad view of which
regions of crop genomes should be examined in detail."
Using the GWAS method for multiple analyses and complementary methods in
identifying genetic variants, researchers were able to find that, on average, 79
percent of detectable genetic signals are concentrated at previously defined
genes and their promoter regions. "We used to think that genes are the only
search priority and there were just many other less important or useless DNA
sequences," said Jianming Yu, associate professor of agronomy at Kansas State
University and study senior author. "But now we are starting to see that these
other regions harbor some important genetic codes in them. Canvassing without
prioritizing can be cost prohibitive, however, and efficient GWAS in crops with
complex genomes still need to be carried out by taking advantage of a
combination of genome technologies available."
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