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Genome-wide transcriptome analyses of developing seeds from low and normal phytic acid soybean lines

Overview of attention for article published in BMC Genomics, December 2015
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Title
Genome-wide transcriptome analyses of developing seeds from low and normal phytic acid soybean lines
Published in
BMC Genomics, December 2015
DOI 10.1186/s12864-015-2283-9
Pubmed ID
Authors

Neelam R. Redekar, Ruslan M. Biyashev, Roderick V. Jensen, Richard F. Helm, Elizabeth A. Grabau, M. A. Saghai Maroof

Abstract

Low phytic acid (lpa) crops are potentially eco-friendly alternative to conventional normal phytic acid (PA) crops, improving mineral bioavailability in monogastric animals as well as decreasing phosphate pollution. The lpa crops developed to date carry mutations that are directly or indirectly associated with PA biosynthesis and accumulation during seed development. These lpa crops typically exhibit altered carbohydrate profiles, increased free phosphate, and lower seedling emergence, the latter of which reduces overall crop yield, hence limiting their large-scale cultivation. Improving lpa crop yield requires an understanding of the downstream effects of the lpa genotype on seed development. Towards that end, we present a comprehensive comparison of gene-expression profiles between lpa and normal PA soybean lines (Glycine max) at five stages of seed development using RNA-Seq approaches. The lpa line used in this study carries single point mutations in a myo-inositol phosphate synthase gene along with two multidrug-resistance protein ABC transporter genes. RNA sequencing data of lpa and normal PA soybean lines from five seed-developmental stages (total of 30 libraries) were used for differential expression and functional enrichment analyses. A total of 4235 differentially expressed genes, including 512-transcription factor genes were identified. Eighteen biological processes such as apoptosis, glucan metabolism, cellular transport, photosynthesis and 9 transcription factor families including WRKY, CAMTA3 and SNF2 were enriched during seed development. Genes associated with apoptosis, glucan metabolism, and cellular transport showed enhanced expression in early stages of lpa seed development, while those associated with photosynthesis showed decreased expression in late developmental stages. The results suggest that lpa-causing mutations play a role in inducing and suppressing plant defense responses during early and late stages of seed development, respectively. This study provides a global perspective of transcriptomal changes during soybean seed development in an lpa mutant. The mutants are characterized by earlier expression of genes associated with cell wall biosynthesis and a decrease in photosynthetic genes in late stages. The biological processes and transcription factors identified in this study are signatures of lpa-causing mutations.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Chile 1 1%
India 1 1%
Unknown 71 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 26%
Student > Ph. D. Student 18 24%
Student > Doctoral Student 6 8%
Student > Master 6 8%
Professor 5 7%
Other 5 7%
Unknown 15 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 49%
Biochemistry, Genetics and Molecular Biology 13 18%
Computer Science 2 3%
Arts and Humanities 1 1%
Environmental Science 1 1%
Other 4 5%
Unknown 17 23%
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 19 December 2015.
All research outputs
#18,432,465
of 22,835,198 outputs
Outputs from BMC Genomics
#8,183
of 10,655 outputs
Outputs of similar age
#280,471
of 388,246 outputs
Outputs of similar age from BMC Genomics
#292
of 327 outputs
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