GEPHE SUMMARY
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Gephebase Gene
Entry Status
Published
GepheID
GP00000124
Main curator
Martin
PHENOTYPIC CHANGE
Trait Category
Trait
Trait State in Taxon A
Arabidopsis thaliana- Col0
Trait State in Taxon B
Arabidopsis thaliana- Ts-1
Ancestral State
Taxon A
Taxonomic Status
Taxon A
Latin Name
Common Name
thale cress
Synonyms
thale cress; mouse-ear cress; thale-cress; Arabidopsis thaliana (L.) Heynh.; Arabidopsis thaliana (thale cress); Arabidopsis_thaliana; Arbisopsis thaliana; thale kress
Rank
species
Lineage
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; Embryophyta; Tracheophyta; Euphyllophyta; Spermatophyta; Magnoliophyta; Mesangiospermae; eudicotyledons; Gunneridae; Pentapetalae; rosids; malvids; Brassicales; Brassicaceae; Camelineae; Arabidopsis
NCBI Taxonomy ID
is Taxon A an Infraspecies?
Yes
Taxon A Description
Arabidopsis thaliana- Col0
Taxon B
Latin Name
Common Name
thale cress
Synonyms
thale cress; mouse-ear cress; thale-cress; Arabidopsis thaliana (L.) Heynh.; Arabidopsis thaliana (thale cress); Arabidopsis_thaliana; Arbisopsis thaliana; thale kress
Rank
species
Lineage
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; Embryophyta; Tracheophyta; Euphyllophyta; Spermatophyta; Magnoliophyta; Mesangiospermae; eudicotyledons; Gunneridae; Pentapetalae; rosids; malvids; Brassicales; Brassicaceae; Camelineae; Arabidopsis
NCBI Taxonomy ID
is Taxon B an Infraspecies?
Yes
Taxon B Description
Arabidopsis thaliana- Ts-1
GENOTYPIC CHANGE
Generic Gene Name
HKT1
Synonyms
ATHKT1; high-affinity K+ transporter 1; HKT1;1; T9A4.5; At4g10310
String
Sequence Similarities
Belongs to the TrkH potassium transport family. HKT (TC 2.A.38.3) subfamily.
GO - Molecular Function
GO:0008324 : cation transmembrane transporter activity
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GO - Biological Process
GO:0006813 : potassium ion transport
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GO - Cellular Component
GO:0016021 : integral component of membrane
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Presumptive Null
Molecular Type
Aberration Type
Deletion Size
100-999 bp
Molecular Details of the Mutation
725bp deletion of part of upstream repeat region
Experimental Evidence
Main Reference
Authors
Rus A; Baxter I; Muthukumar B; Gustin J; Lahner B; Yakubova E; Salt DE
Abstract
Plants are sessile and therefore have developed mechanisms to adapt to their environment, including the soil mineral nutrient composition. Ionomics is a developing functional genomic strategy designed to rapidly identify the genes and gene networks involved in regulating how plants acquire and accumulate these mineral nutrients from the soil. Here, we report on the coupling of high-throughput elemental profiling of shoot tissue from various Arabidopsis accessions with DNA microarray-based bulk segregant analysis and reverse genetics, for the rapid identification of genes from wild populations of Arabidopsis that are involved in regulating how plants acquire and accumulate Na(+) from the soil. Elemental profiling of shoot tissue from 12 different Arabidopsis accessions revealed that two coastal populations of Arabidopsis collected from Tossa del Mar, Spain, and Tsu, Japan (Ts-1 and Tsu-1, respectively), accumulate higher shoot levels of Na(+) than do Col-0 and other accessions. We identify AtHKT1, known to encode a Na(+) transporter, as being the causal locus driving elevated shoot Na(+) in both Ts-1 and Tsu-1. Furthermore, we establish that a deletion in a tandem repeat sequence approximately 5 kb upstream of AtHKT1 is responsible for the reduced root expression of AtHKT1 observed in these accessions. Reciprocal grafting experiments establish that this loss of AtHKT1 expression in roots is responsible for elevated shoot Na(+). Interestingly, and in contrast to the hkt1-1 null mutant, under NaCl stress conditions, this novel AtHKT1 allele not only does not confer NaCl sensitivity but also cosegregates with elevated NaCl tolerance. We also present all our elemental profiling data in a new open access ionomics database, the Purdue Ionomics Information Management System (PiiMS; http://www.purdue.edu/dp/ionomics). Using DNA microarray-based genotyping has allowed us to rapidly identify AtHKT1 as the casual locus driving the natural variation in shoot Na(+) accumulation we observed in Ts-1 and Tsu-1. Such an approach overcomes the limitations imposed by a lack of established genetic markers in most Arabidopsis accessions and opens up a vast and tractable source of natural variation for the identification of gene function not only in ionomics but also in many other biological processes.
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