Genome Sequencing Speeds Ability to Improve Soybeans
News Jan 15, 2010
Purdue University scientists led an effort to sequence the soybean genome, giving researchers a better understanding of the plant's genes and how to use them to improve its characteristics.
Agronomy professor Scott Jackson said the U.S. departments of Energy and Agriculture study found that the soybean has about 46,000 genes, but many of those - 70 percent to 80 percent - are duplicates. This duplication may make it difficult to target the genes necessary to improve soybean characteristics such as seed size, oil content or yield.
Adding to the difficulty, Jackson said many of the duplicated genes in the soybean genome have been shuffled, making it hard to predict where the duplicate copies of a gene might be. This complicates the genetics and breeding of soybeans.
"If I'm selecting for a gene, I may have difficulty in locating all the necessary duplicates of that gene," said Jackson, corresponding author on the soybean genome paper that was published Wednesday (Jan. 13) on the cover of the journal Nature. "It has a lot of backup copies."
Despite the difficulties the soybean genome presents, having a sequenced genome does speed up the work scientists are able to do to improve the plant's characteristics. Genome sequencing eliminates the need for meticulous searches for particular genes.
"It really is going to change the way we ask questions about soybeans in research," said Randy Shoemaker, a research geneticist from the U.S. Department of Agriculture's Agricultural Research Service at Iowa State University and the paper's co-author. "What used to take us literally years can take us weeks or months now. This is the entire genetic code in front of you."
Jianxin Ma, an assistant professor of agronomy at Purdue and paper co-author, said the largest proportion of the soybean genome is composed of transposable elements, or TEs, which are often referred to as 'genomic junks'. However, some are important, Ma said.
Bursts of activity from these TEs, as well as their enormous presence, inevitably have an impact on the functionality of genes. The team's annotation of a nearly complete set of TEs in the sequenced genome led to another discovery regarding how TEs thrive in the host genome, which will be published in the journal The Plant Cell on Friday (Jan. 15).
"Although TEs are ubiquitous, what we discovered has not been seen in any other organisms yet," Ma said. "We found that some 'dead' TEs can actually be revivified by swapping with their active TE partners, and thus restore or even enhance their ability to proliferate using the amplification machinery encoded by their partners."
Having the genome in hand will allow scientists to compare different varieties of soybean plants and determine which genes are responsible for different characteristics, such as increased oil content or larger plants. One of the next steps in the research is to resequence the 20,000 soybean lines in the U.S. germplasm collection to find genes not common to all soybean cultivars.
"When soybeans were domesticated, they were selected for seed size and other traits, but there were a lot of potentially valuable genes left behind," Jackson said. "There may be valuable genes associated with protein content or disease resistance."
The United Soybean Board, National Science Foundation, USDA and Department of Energy funded the research.
Schizophrenics' Blood Contains RNA From More MicrobesNews
The blood of schizophrenia patients features genetic material from more types of microorganisms than that of people without the debilitating mental illness, research at Oregon State University has found. What’s not known is whether that’s a cause or effect of the severe, chronic condition that strikes about one person in 100.READ MORE
Faulty Gene Leads to Alcohol-Induced Heart FailureNews
A faulty gene interacts with alcohol to accelerate heart failure in susceptible patients, a study suggests. This dangerous interaction can occur even when only moderate amounts of alcohol have been consumed.READ MORE
Comments | 0 ADD COMMENT
2nd Annual Artificial Intelligence in Drug Development Congress
Sep 20 - Sep 21, 2018