0191
Comparing early transcriptomic responses of 18 soybean (Glycine max) genotypes to iron stress
Daniel R. Kohlhase; Chantal E. McCabe; Asheesh K. Singh; Jamie A. O'Rourke; Michelle A. Graham
Original research article
Lab study
Soybean
Iron
View source document
year
2021
Country
United States
Abstract

Iron deficiency chlorosis (IDC) is an abiotic stress that negatively affects soybean (Glycine max [L.] Merr.) production. Much of our knowledge of IDC stress responses is derived from model plant species. Gene expression, quantitative trait loci (QTL) mapping, and genome-wide association studies (GWAS) performed in soybean suggest that stress response differences exist between model and crop species. Our current understanding of the molecular response to IDC in soybeans is largely derived from gene expression studies using near-isogenic lines differing in iron efficiency. To improve iron efficiency in soybeans and other crops, we need to expand gene expression studies to include the diversity present in germplasm collections. Therefore, we collected 216 purified RNA samples (18 genotypes, two tissue types [leaves and roots], two iron treatments [sufficient and deficient], three replicates) and used RNA sequencing to examine the expression differences of 18 diverse soybean genotypes in response to iron deficiency. We found a rapid response to iron deficiency across genotypes, most responding within 60 min of stress. There was little evidence of an overlap of specific differentially expressed genes, and comparisons of gene ontology terms and transcription factor families suggest the utilization of different pathways in the stress response. These initial findings suggest an untapped genetic potential within the soybean germplasm collection that could be used for the continued improvement of iron efficiency in soybean.

Outcomes reported
Synthesis
Key insight
Iron deficiency triggered rapid and highly genotype-specific soybean transcriptomic responses within 60 minutes in hydroponic culture.
Limitations
RNA-seq laboratory study without agronomic, soil, nutrient-concentration, or economic outcome data.
Welland | Ontario | Canada‍
© 2024 VISTA Science & Technology. All right reserved.
Open Modal

Contact us

General Inquiries

For general inquiries, including partnership opportunities:
905 650 3857
info@vistast.com

Follow us

close modal