Chia Genome Sequenced by Researchers, New Study Finds

Cheer (salvia hispanica) It is one of the most popular nutrient-dense foods and pseudocereals of the Lamiaceae family Lamiaceae. Chia seeds are rich in protein, polyunsaturated fatty acids, dietary fiber, and antioxidants. A team of scientists at Oregon State University has sequenced the chia genome, providing a blueprint for future research to exploit the nutritional and human health benefits of the chia plant.



chia seeds. Image credit: Valeria Lu.

Chia is an annual herbaceous plant in the Lamiaceae family, which also includes popular culinary herbs.

It is grown in southern Mexico and Central America for its nutrient-rich seeds containing protein, polyunsaturated fatty acids, dietary fiber, antioxidants, and minerals.

Compared to dietary fiber sources such as soy, wheat, and corn, chia seeds contain approximately 54g of dietary fiber per 100g, of which 93% is insoluble fiber.

Similarly, 60% of the total fatty acids are composed of polyunsaturated fatty acids, and proteins constitute 18–24% of the seed mass.

Additionally, the health-beneficial effects of chia seeds on improving muscle lipid content, cardiovascular health, total cholesterol ratio, triglyceride content, and anti-carcinogenic properties have been demonstrated in humans and animals.

The high fiber content in chia seeds also helps to reduce hypoglycemic effects and stabilize blood sugar levels in people with type 2 diabetes.

Professor Pankaj Jaiwal from Oregon State University said, “Our study opens up the possibility for scientists to study chia seeds with a view to improving human health, while also expanding knowledge of chia’s full range of nutritional benefits.” We will continue to deepen our understanding.”

“Long-term food and nutritional security currently requires diversifying human diets through breeding and genetic improvement of nutrient-rich so-called minor crops like chia,” said Dr. Sushma Naisani of Oregon State University. We have reached a stage where this is necessary.”

In the study, the authors assembled a haploid chia genome with an estimated genome size of 356 Mb.

They identified genes and genetic markers in chia that could help agricultural researchers breed plants to amplify plant traits valuable to human health.

They discovered 29 genes involved in the biosynthesis of polyunsaturated fatty acids and 93 genes that aid chia seeds’ gel-forming properties.

They also found 2,707 genes highly expressed in the seeds that are likely to produce small biologically active peptides (biopeptides) derived from proteins.

When seed proteins are digested in the intestinal tract, these small biopeptides are released and absorbed into the body, with potential properties that may help alleviate human health conditions such as type 2 diabetes and high blood pressure. Masu.

“This is the first report in silico “Annotation of plant genomes for protein-derived small biopeptides associated with improved human health,” the researchers said.

of findings It was published in the magazine Frontiers of plant science.

_____

parul gupta other. 2023. Reference genome of the nutrient-rich orphan crop chia (salvia hispanica) and implications for future breeding. front.plant science 14; doi: 10.3389/fps.2023.1272966

Source: www.sci.news

The merger of quantum biology and AI fueled genome editing advancements

Scientists at Oak Ridge National Laboratory have utilized quantum biology and explainable artificial intelligence to advance CRISPR Cas9 technology for genome editing in microorganisms. This breakthrough has enabled more precise genetic modification of microorganisms, opening up possibilities for the production of renewable fuels and chemicals. The research at Oak Ridge National Laboratory has significantly improved the efficiency of CRISPR Cas9 genome editing in microorganisms and contributed to renewable energy development.

CRISPR is a powerful tool for bioengineering, used to modify the genetic code to improve the performance of organisms or correct mutations. ORNL scientists developed a method to improve the accuracy of the CRISPR Cas9 gene editing tool used to modify microorganisms for the production of renewable fuels and chemicals. They have leveraged their expertise in quantum biology, artificial intelligence, and synthetic biology to achieve this.

To improve the modeling and design of guide RNAs, ORNL scientists sought to better understand what is happening at the most fundamental level in the cell nucleus, where genetic material is stored. They turned to quantum biology to study how electronic structure affects the chemical properties and interactions of nucleotides, such as DNA and RNA.

Furthermore, scientists at ORNL have built an explainable artificial intelligence model called iterated random forest, which has been used to train the model on a dataset of about 50,000 guide RNAs targeting the genome of Escherichia coli. This model has provided important features regarding the nucleotides that allow for better selection of guide RNAs.

Improving the CRISPR Cas9 model provides scientists with a high-throughput pipeline for linking genotype to phenotype in functional genomics. This research will impact efforts at the ORNL-led Center for Bioenergy Innovation (CBI), such as improving bioenergy feedstock plants and bacterial fermentation of biomass.

The results of this research significantly improve the prediction of guide RNAs. This represents an exciting advance toward understanding how avoid ‘mistakes’ and improving the ability to use CRISPR tools to predictively modify the DNA of more organisms. The study was funded by SEED SFA and CBI, part of the DOE Office of Science’s Biological and Environmental Research Program, ORNL’s Laboratory-Directed Research and Development Program, and OLCF and Compute’s High Performance Computing Resources and Data Environment for Science, both supported by the Office of Science.

Source: scitechdaily.com