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Comparative analysis of transcriptome in two wheat genotypes with contrasting levels of drought tolerance

Overview of attention for article published in Protoplasma, April 2018
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37 Mendeley
Title
Comparative analysis of transcriptome in two wheat genotypes with contrasting levels of drought tolerance
Published in
Protoplasma, April 2018
DOI 10.1007/s00709-018-1237-x
Pubmed ID
Authors

Jitendra Kumar, Samatha Gunapati, Shahryar F. Kianian, Sudhir P. Singh

Abstract

Drought tolerance is a complex trait that is governed by multiple genes. The study presents differential transcriptome analysis between drought-tolerant (Triticum aestivum Cv. C306) and drought-sensitive (Triticum aestivum Cv. WL711) genotypes, using Affymetrix GeneChip® Wheat Genome Array. Both genotypes exhibited diverse global transcriptional responses under control and drought conditions. Pathway analysis suggested significant induction or repression of genes involved in secondary metabolism, nucleic acid synthesis, protein synthesis, and transport in C306, as compared to WL711. Significant up- and downregulation of transcripts for enzymes, hormone metabolism, and stress response pathways were observed in C306 under drought. The elevated expression of plasma membrane intrinsic protein 1 and downregulation of late embryogenesis abundant in the leaf tissues could play an important role in delayed wilting in C306. The other regulatory genes such as MT, FT, AP2, SKP1, ABA2, ARF6, WRKY6, AOS, and LOX2 are involved in defense response in C306 genotype. Additionally, transcripts with unknown functions were identified as differentially expressed, which could participate in drought responses.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 16%
Researcher 4 11%
Student > Master 4 11%
Student > Postgraduate 2 5%
Student > Doctoral Student 1 3%
Other 4 11%
Unknown 16 43%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 32%
Biochemistry, Genetics and Molecular Biology 4 11%
Unspecified 1 3%
Engineering 1 3%
Unknown 19 51%
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 06 November 2018.
All research outputs
#17,945,904
of 23,043,346 outputs
Outputs from Protoplasma
#556
of 980 outputs
Outputs of similar age
#238,956
of 329,221 outputs
Outputs of similar age from Protoplasma
#9
of 22 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 980 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 39th percentile – i.e., 39% 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 329,221 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.