ArticleBMC genomics2014
Identification of candidate genes involved in early iron deficiency chlorosis signaling in soybean (Glycine max) roots and leaves.
Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
40 citing papers in PubMed, 79 citations in OpenAlex.
- Rhizobia bacteroid transcription helps to coordinate the soybean nodule drought response.AoB PLANTS · 2026Article
- Root cell wall plasticity in iron homeostasis: an overlooked frontier in plant nutrition.The New phytologist · 2026Review
- Article
- Transcriptomic Response of White Lupin Roots to Short-Term Sucrose Treatment.Plants (Basel, Switzerland) · 2025Article
- Assessing the efficacy of different nano-iron sources for alleviating alkaline soil challenges in goji berry trees (Lycium barbarum L.).BMC plant biology · 2024Article
- Investigating the Role of Known Arabidopsis Iron Genes in a Stress Resilient Soybean Line.International journal of molecular sciences · 2024Article
- RNA-Seq and WGCNA Analyses Reveal Key Regulatory Modules and Genes for Salt Tolerance in Cotton.Genes · 2024Article
- Transcriptome analysis of iron over-accumulating Arabidopsis genotypes uncover putative novel regulators of systemic and retrograde signaling.The plant genome · 2024Article
- GmGLU1 and GmRR4 contribute to iron deficiency tolerance in soybean.Frontiers in plant science · 2024Article
- Coupling VIGS with Short- and Long-Term Stress Exposure to Understand the Fiskeby III Iron Deficiency Stress Response.International journal of molecular sciences · 2022Article
- Characterization of zinc uptake and translocation visualized with positron-emitting 65Zn tracer and analysis of transport-related gene expression in two Lotus japonicus accessions.Annals of botany · 2022Article
- The Hidden Potential of High-Throughput RNA-Seq Re-Analysis, a Case Study for DHDPS, Key Enzyme of the Aspartate-Derived Lysine Biosynthesis Pathway and Its Role in Abiotic and Biotic Stress Responses in Soybean.Plants (Basel, Switzerland) · 2022Article
- Transcriptome and metabolome analyses reveal new insights into chlorophyll, photosynthesis, metal ion and phenylpropanoids related pathways during sugarcane ratoon chlorosis.BMC plant biology · 2022Article
- Identification, Analysis and Gene Cloning of the SWEET Gene Family Provide Insights into Sugar Transport in Pomegranate (International journal of molecular sciences · 2022Article
- Plant SWEET Family of Sugar Transporters: Structure, Evolution and Biological Functions.Biomolecules · 2022Review
- Comparing Early Transcriptomic Responses of 18 Soybean (International journal of molecular sciences · 2021Article
- Mining Fiskeby III and Mandarin (Ottawa) Expression Profiles to Understand Iron Stress Tolerant Responses in Soybean.International journal of molecular sciences · 2021Article
- Gene Expression Responses to Sequential Nutrient Deficiency Stresses in Soybean.International journal of molecular sciences · 2021Article
- Interaction Between Macro- and Micro-Nutrients in Plants.Frontiers in plant science · 2021Review
- Cross-Talks Between Macro- and Micronutrient Uptake and Signaling in Plants.Frontiers in plant science · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIron is an essential micronutrient for all living things, required in plants for photosynthesis, respiration and metabolism. A lack of bioavailable iron in soil leads to iron deficiency chlorosis (IDC), causing a reduction in photosynthesis and interveinal yellowing of leaves. Soybeans (Glycine max (L.) Merr.) grown in high pH soils often suffer from IDC, resulting in substantial yield losses. Iron efficient soybean cultivars maintain photosynthesis and have higher yields under IDC-promoting conditions than inefficient cultivars.
resultsTo capture signaling between roots and leaves and identify genes acting early in the iron efficient cultivar Clark, we conducted a RNA-Seq study at one and six hours after replacing iron sufficient hydroponic media (100 μM iron(III) nitrate nonahydrate) with iron deficient media (50 μM iron(III) nitrate nonahydrate). At one hour of iron stress, few genes were differentially expressed in leaves but many were already changing expression in roots. By six hours, more genes were differentially expressed in the leaves, and a massive shift was observed in the direction of gene expression in both roots and leaves. Further, there was little overlap in differentially expressed genes identified in each tissue and time point.
conclusionsGenes involved in hormone signaling, regulation of DNA replication and iron uptake utilization are key aspects of the early iron-efficiency response. We observed dynamic gene expression differences between roots and leaves, suggesting the involvement of many transcription factors in eliciting rapid changes in gene expression. In roots, genes involved iron uptake and development of Casparian strips were induced one hour after iron stress. In leaves, genes involved in DNA replication and sugar signaling responded to iron deficiency. The differentially expressed genes (DEGs) and signaling components identified here represent new targets for soybean improvement.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.