Skip to main content
ARS Home » Northeast Area » Ithaca, New York » Robert W. Holley Center for Agriculture & Health » Plant, Soil and Nutrition Research » Research » Publications at this Location » Publication #417520
Research Project: Championing Improvement of Sorghum and Other Agriculturally Important Species through Data Stewardship and Functional Dissection of Complex Traits

Location: Plant, Soil and Nutrition Research

Title: Genome-wide Response to Iron Availability and Identification of Leaf-level Metal Acclimation Factors in Four Sorghum Carbon Partitioning NAM Populations.

Author
item BRAYNEN, JANEEN - Cold Spring Harbor Laboratory
item KUMARI, SUNITA - Cold Spring Harbor Laboratory
item REGULSKI, MICHAEL - Cold Spring Harbor Laboratory
item BHAT, ADITI - Brookhaven National Laboratory
item TEDESSE, DIMITRU - Brookhaven National Laboratory
item Paape, Timothy - Tim
item XIE, MENG - Brookhaven National Laboratory
item Ware, Doreen

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 4/20/2024
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: Iron (Fe) is essential for photosynthesis, respiration, and chlorophyll production in plants. Its uptake involves a network of transporters and chelators, optimizing transport from soil to tissue and preventing toxic buildup. This study explores the impact of Fe limitation and excess on growth and resilience in four Sorghum Carbon Partitioning Nested Association Mapping (CP-NAM) populations (Grassl, Leoti, Pink Kafir, 1S13633) and the reference genome (BTx623) in controlled hydroponic chambers. We used RNA-seq to identify gene expression patterns and Inductively Coupled Plasma Mass Spectrometry (ICP-MS) to measure metal concentrations, providing insights into micronutrient interactions and carbon allocation. Chlorosis was noted under Fe stress at 7 and 14 days in all lines except Leoti, which remained green. ICP-MS revealed variability in elements like Ca44, S34, Na2, and B11, with significant differences in Fe54 concentrations between the observed time points under low Fe conditions. Time-series RNA-seq shows that specific gene clusters are critical for adapting to Fe variations, effectively directing carbon to essential functions under stress. These findings inform the genetic basis of micronutrient utilization and have implications for developing crop varieties with better growth and yield in Fe-deficient soils. Targeted breeding could enhance iron-use efficiency and carbon distribution, addressing challenges in nutrient-depleted environments. This project was funded by the USDA-CRIS, award number 8062-21000-044-000D.