Title |
Mapping of Ionomic Traits in Mimulus guttatus Reveals Mo and Cd QTLs That Colocalize with MOT1 Homologues
|
---|---|
Published in |
PLOS ONE, January 2012
|
DOI | 10.1371/journal.pone.0030730 |
Pubmed ID | |
Authors |
David B. Lowry, Calvin C. Sheng, Zhirui Zhu, Thomas E. Juenger, Brett Lahner, David E. Salt, John H. Willis |
Abstract |
Natural variation in the regulation of the accumulation of mineral nutrients and trace elements in plant tissues is crucial to plant metabolism, development, and survival across different habitats. Studies of the genetic basis of natural variation in nutrient metabolism have been facilitated by the development of ionomics. Ionomics is a functional genomic approach for the identification of the genes and gene networks that regulate the elemental composition, or ionome, of an organism. In this study, we evaluated the genetic basis of divergence in elemental composition between an inland annual and a coastal perennial accession of Mimulus guttatus using a recombinant inbred line (RIL) mapping population. Out of 20 elements evaluated, Mo and Cd were the most divergent in accumulation between the two accessions and were highly genetically correlated in the RILs across two replicated experiments. We discovered two major quantitative trait loci (QTL) for Mo accumulation, the largest of which consistently colocalized with a QTL for Cd accumulation. Interestingly, both Mo QTLs also colocalized with the two M. guttatus homologues of MOT1, the only known plant transporter to be involved in natural variation in molybdate uptake. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 4% |
Mexico | 1 | 2% |
Unknown | 49 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 17 | 33% |
Student > Ph. D. Student | 12 | 23% |
Professor > Associate Professor | 4 | 8% |
Student > Bachelor | 3 | 6% |
Student > Master | 3 | 6% |
Other | 4 | 8% |
Unknown | 9 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 33 | 63% |
Biochemistry, Genetics and Molecular Biology | 5 | 10% |
Environmental Science | 3 | 6% |
Business, Management and Accounting | 1 | 2% |
Earth and Planetary Sciences | 1 | 2% |
Other | 2 | 4% |
Unknown | 7 | 13% |