Danforth Center Scientists Discover Gene that Influences Grain Yield

Danforth Center's picture
Printer-friendly versionPrinter-friendly version


Deep sequencing impacts food and bioenergy crops


ST. LOUIS, MO, April 18, 2017 – Researchers at the Enterprise Rent-A-Car Institute for Renewable Fuels at the Donald Danforth Plant Science Center have discovered a gene that influences grain yield in grasses related to food crops. Four mutations were identified that could impact candidate crops for producing renewable and sustainable fuels.

In a paper published April 18, 2017 in Nature Plants,  a team led by Thomas Brutnell, Ph.D.Director of the Enterprise Institute for Renewable Fuels at the Danforth Center and researchers at the U.S. Department of Energy Joint Genome Institute (DOE JGI), a DOE Office of Science User Facility, conducted genetic screens to identify genes that may play a role in flower development on the panicle of green foxtail. Green foxtail is a wild relative of the common crop foxtail millet. These Setaria species are related to several candidate bioenergy grasses including switchgrass and Miscanthus and serve as grass model systems to study grasses that photosynthetically fix carbon from CO2 through a water-conserving (C4) pathway. The genomes of both green foxtail and foxtail millet have been sequenced and annotated through the DOE JGI’s Community Science Program.

“We have identified four recessive mutants that lead to reduced and uneven flower clusters,” said Pu Huang, Ph.D., the lead author of the paper. “By ultimately identifying the gene in green foxtail we identified a new determinant in the control of grain yield that could be crucial to improving food crops like maize.

The grass Setaria has been proposed as a model for food and bioenergy crops for its short stature and rapid life cycle, compared to most bioenergy grasses. After constructing a mutant population resource for the grass, the Brutnell lab screened 2,700 M2 families, deep sequenced a mutant pool to identify the causative mutation and confirmed a homologous gene in maize played a similar role.

“Identifying this new player in panicle architecture may enable the design of plants with either enhanced or reduced panicle structures,” stated Brutnell. “For instance, maize breeding has selected for reduced male panicles, also known as tassels, to reduce shading in the field while still producing sufficient pollen.  However, grain yields in sorghum are directly related to the architecture of the panicle. By showing that this gene influences panicle architecture in Setaria and maize, we have expanded the tool box for breeders.”

At the Danforth Center, plants hold the key to discoveries and products that will enrich and restore both the environment and the lives of people around the globe. Brutnell’s lab research includes the search for the next generation of biofuels: alternative sources of energy that are affordable, sustainable and ecologically sound. The research develops novel computational tools and model systems to identify genes that will improve yield in crops through enhanced photosynthesis.

About The Donald Danforth Plant Science Center
Founded in 1998, the Donald Danforth Plant Science Center is a not-for-profit research institute with a mission to improve the human condition through plant science. Research, education and outreach aim to have impact at the nexus of food security and the environment, and position the St. Louis region as a world center for plant science. The Center’s work is funded through competitive grants from many sources, including the National Institutes of Health, U.S. Department of Energy, National Science Foundation and the Bill & Melinda Gates Foundation. 

To keep up to date with Danforth Center’s current operations and areas of research, please visit, www.danforthcenter.org, featuring information on Center scientists, news and the “Roots & Shoots” blog. Follow us on Twitter at @DanforthCenter. 

Copy this html code to your website/blog to embed this press release.

Comments

Post new comment

13 + 0 =

To prevent automated spam submissions leave this field empty.