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Transcriptome Profiling of Wild Arachis from Water-Limited Environments Uncovers Drought Tolerance Candidate Genes

Overview of attention for article published in Plant Molecular Biology Reporter, April 2015
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Title
Transcriptome Profiling of Wild Arachis from Water-Limited Environments Uncovers Drought Tolerance Candidate Genes
Published in
Plant Molecular Biology Reporter, April 2015
DOI 10.1007/s11105-015-0882-x
Pubmed ID
Authors

Ana C. M. Brasileiro, Carolina V. Morgante, Ana C. G. Araujo, Soraya C. M. Leal-Bertioli, Amanda K. Silva, Andressa C. Q. Martins, Christina C. Vinson, Candice M. R. Santos, Orzenil Bonfim, Roberto C. Togawa, Mario A. P. Saraiva, David J. Bertioli, Patricia M. Guimaraes

Abstract

Peanut (Arachis hypogaea L.) is an important legume cultivated mostly in drought-prone areas where its productivity can be limited by water scarcity. The development of more drought-tolerant varieties is, therefore, a priority for peanut breeding programs worldwide. In contrast to cultivated peanut, wild relatives have a broader genetic diversity and constitute a rich source of resistance/tolerance alleles to biotic and abiotic stresses. The present study takes advantage of this diversity to identify drought-responsive genes by analyzing the expression profile of two wild species, Arachis duranensis and Arachis magna (AA and BB genomes, respectively), in response to progressive water deficit in soil. Data analysis from leaves and roots of A. duranensis (454 sequencing) and A. magna (suppression subtractive hybridization (SSH)) stressed and control complementary DNA (cDNA) libraries revealed several differentially expressed genes in silico, and 44 of them were selected for further validation by quantitative RT-PCR (qRT-PCR). This allowed the identification of drought-responsive candidate genes, such as Expansin, Nitrilase, NAC, and bZIP transcription factors, displaying significant levels of differential expression during stress imposition in both species. This is the first report on identification of differentially expressed genes under drought stress and recovery in wild Arachis species. The generated transcriptome data, besides being a valuable resource for gene discovery, will allow the characterization of new alleles and development of molecular markers associated with drought responses in peanut. These together constitute important tools for the peanut breeding program and also contribute to a better comprehension of gene modulation in response to water deficit and rehydration.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 32%
Student > Ph. D. Student 12 20%
Student > Master 3 5%
Student > Doctoral Student 2 3%
Student > Bachelor 2 3%
Other 10 17%
Unknown 11 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 58%
Biochemistry, Genetics and Molecular Biology 7 12%
Unspecified 2 3%
Social Sciences 1 2%
Unknown 15 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 January 2016.
All research outputs
#15,353,264
of 22,837,982 outputs
Outputs from Plant Molecular Biology Reporter
#262
of 353 outputs
Outputs of similar age
#157,521
of 264,643 outputs
Outputs of similar age from Plant Molecular Biology Reporter
#3
of 7 outputs
Altmetric has tracked 22,837,982 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 353 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 264,643 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.