↓ Skip to main content

The genetic basis of natural variation for iron homeostasis in the maize IBM population

Overview of attention for article published in BMC Plant Biology, January 2014
Altmetric Badge

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
44 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The genetic basis of natural variation for iron homeostasis in the maize IBM population
Published in
BMC Plant Biology, January 2014
DOI 10.1186/1471-2229-14-12
Pubmed ID
Authors

Andreas Benke, Claude Urbany, Johanna Marsian, Rongli Shi, Nicolaus von Wirén, Benjamin Stich

Abstract

Iron (Fe) deficiency symptoms in maize (Zea mays subsp. mays) express as leaf chlorosis, growth retardation, as well as yield reduction and are typically observed when plants grow in calcareous soils at alkaline pH. To improve our understanding of genotypical variability in the tolerance to Fe deficiency-induced chlorosis, the objectives of this study were to (i) determine the natural genetic variation of traits related to Fe homeostasis in the maize intermated B73 × Mo17 (IBM) population, (ii) to identify quantitative trait loci (QTLs) for these traits, and (iii) to analyze expression levels of genes known to be involved in Fe homeostasis as well as of candidate genes obtained from the QTL analysis.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Mexico 1 2%
Unknown 41 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 25%
Student > Ph. D. Student 10 23%
Student > Doctoral Student 5 11%
Student > Master 3 7%
Professor 2 5%
Other 6 14%
Unknown 7 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 61%
Biochemistry, Genetics and Molecular Biology 6 14%
Computer Science 2 5%
Medicine and Dentistry 2 5%
Chemistry 1 2%
Other 0 0%
Unknown 6 14%