Literature DB >> 17466527

Recovering from iron deficiency chlorosis in near-isogenic soybeans: a microarray study.

Jamie A O'Rourke1, Michelle A Graham, Lila Vodkin, Delkin Orlando Gonzalez, Silvia R Cianzio, Randy C Shoemaker.   

Abstract

Iron deficiency chlorosis (IDC) in soybeans has proven to be a perennial problem in the calcareous soils of the U.S. upper Midwest. A historically difficult trait to study in fields, the use of hydroponics in a controlled greenhouse environment has provided a mechanism to study genetic variation while limiting environmental complications. IDC susceptible plants growing in calcareous soils and in iron-controlled hydroponic experiments often exhibit a characteristic chlorotic phenotype early in the growing season but are able to re-green later in the season. To examine the changes in gene expression of these plants, near-isogenic lines, iron efficient PI548553 (Clark) and iron inefficient PI547430 (IsoClark), developed for their response to iron deficiency stress [USDA, ARS, National Genetic Resources Program, Germplasm Resources Information Network - GRIN. (Online Database) National Germplasm Resources Laboratory, Beltsville, MD, 2004. Available: http://www.ars.grin.gov/cgi-bin/npgs/html/acc_search.pl?accid=PI+547430. [22] were grown in iron-deficient hydroponic conditions for one week, then transferred to iron sufficient conditions for another week. This induced a phenotypic response mimicking the growth of the plants in the field; initial chlorosis followed by re-greening. RNA was isolated from root tissue and transcript profiles were examined between the two near-isogenic lines using publicly available cDNA microarrays. By alleviating the iron deficiency stress our expectation was that plants would return to baseline expression levels. However, the microarray comparison identified four cDNAs that were under-expressed by a two-fold or greater difference in the iron inefficient plant compared to the iron efficient plant. This differential expression was re-examined and confirmed by real time PCR experimentation. Control experiments showed that these genes are not differentially expressed in plants grown continually under iron rich hydroponic conditions. The expression differences suggest potential residual effects of iron deficiency on plant health.

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Year:  2007        PMID: 17466527     DOI: 10.1016/j.plaphy.2007.03.008

Source DB:  PubMed          Journal:  Plant Physiol Biochem        ISSN: 0981-9428            Impact factor:   4.270


  10 in total

1.  An integrative approach to genomic introgression mapping.

Authors:  Andrew J Severin; Gregory A Peiffer; Wayne W Xu; David L Hyten; Bruna Bucciarelli; Jamie A O'Rourke; Yung-Tsi Bolon; David Grant; Andrew D Farmer; Gregory D May; Carroll P Vance; Randy C Shoemaker; Robert M Stupar
Journal:  Plant Physiol       Date:  2010-07-23       Impact factor: 8.340

2.  Genome-wide microarray analysis of tomato roots showed defined responses to iron deficiency.

Authors:  Anita Zamboni; Laura Zanin; Nicola Tomasi; Mario Pezzotti; Roberto Pinton; Zeno Varanini; Stefano Cesco
Journal:  BMC Genomics       Date:  2012-03-20       Impact factor: 3.969

3.  Transcriptional Characterization of a Widely-Used Grapevine Rootstock Genotype under Different Iron-Limited Conditions.

Authors:  Alessandro Vannozzi; Silvia Donnini; Gianpiero Vigani; Massimiliano Corso; Giorgio Valle; Nicola Vitulo; Claudio Bonghi; Graziano Zocchi; Margherita Lucchin
Journal:  Front Plant Sci       Date:  2017-01-05       Impact factor: 5.753

Review 4.  The Understanding of the Plant Iron Deficiency Responses in Strategy I Plants and the Role of Ethylene in This Process by Omic Approaches.

Authors:  Wenfeng Li; Ping Lan
Journal:  Front Plant Sci       Date:  2017-01-24       Impact factor: 5.753

5.  Surface modification of Fe2O3 and MgO nanoparticles with agrowastes for the treatment of chlorosis in Glycine max.

Authors:  Abdul Azeez Nazeer; Sreelakshmi Udhayakumar; Saranpriya Mani; Mothilal Dhanapal; Sudarshana Deepa Vijaykumar
Journal:  Nano Converg       Date:  2018-08-20

6.  Comparing Early Transcriptomic Responses of 18 Soybean (Glycine max) Genotypes to Iron Stress.

Authors:  Daniel R Kohlhase; Chantal E McCabe; Asheesh K Singh; Jamie A O'Rourke; Michelle A Graham
Journal:  Int J Mol Sci       Date:  2021-10-28       Impact factor: 5.923

7.  Mining Fiskeby III and Mandarin (Ottawa) Expression Profiles to Understand Iron Stress Tolerant Responses in Soybean.

Authors:  Jamie A O'Rourke; Michael J Morrisey; Ryan Merry; Mary Jane Espina; Aaron J Lorenz; Robert M Stupar; Michelle A Graham
Journal:  Int J Mol Sci       Date:  2021-10-13       Impact factor: 5.923

8.  Integrating microarray analysis and the soybean genome to understand the soybeans iron deficiency response.

Authors:  Jamie A O'Rourke; Rex T Nelson; David Grant; Jeremy Schmutz; Jane Grimwood; Steven Cannon; Carroll P Vance; Michelle A Graham; Randy C Shoemaker
Journal:  BMC Genomics       Date:  2009-08-13       Impact factor: 3.969

9.  Microarray analysis of iron deficiency chlorosis in near-isogenic soybean lines.

Authors:  Jamie A O'Rourke; Dirk V Charlson; Delkin O Gonzalez; Lila O Vodkin; Michelle A Graham; Silvia R Cianzio; Michael A Grusak; Randy C Shoemaker
Journal:  BMC Genomics       Date:  2007-12-21       Impact factor: 3.969

10.  Early transcriptomic response to Fe supply in Fe-deficient tomato plants is strongly influenced by the nature of the chelating agent.

Authors:  Anita Zamboni; Laura Zanin; Nicola Tomasi; Linda Avesani; Roberto Pinton; Zeno Varanini; Stefano Cesco
Journal:  BMC Genomics       Date:  2016-01-07       Impact factor: 3.969

  10 in total

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