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Transcript profiling of genes expressed during fibre development in diploid cotton (Gossypium arboreum L.)

Overview of attention for article published in BMC Genomics, August 2017
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Title
Transcript profiling of genes expressed during fibre development in diploid cotton (Gossypium arboreum L.)
Published in
BMC Genomics, August 2017
DOI 10.1186/s12864-017-4066-y
Pubmed ID
Authors

Atul S. Hande, Ishwarappa S. Katageri, Mangesh P. Jadhav, Sateesh Adiger, Savita Gamanagatti, Kethireddy Venkata Padmalatha, Gurusamy Dhandapani, Mogilicherla Kanakachari, Polumetla Ananda Kumar, Vanga Siva Reddy

Abstract

Cotton fibre is a single cell and it is one of the best platforms for unraveling the genes express during various stages of fibre development. There are reports devoted to comparative transcriptome study on fiber cell initiation and elongation in tetraploid cultivated cotton. However, in the present investigation, comparative transcriptome study was made in diploid cultivated cotton using isogenic fuzzy-lintless (Fl) and normal fuzzy linted (FL) lines belong to Gossypium arboreum, diploid species at two stages, 0 and 10 dpa (days post anthesis), using Affymetrix cotton GeneChip genome array. Scanning electron microscopy (SEM) analysis uncovered the occurrence of few fibre cell initials in the Fl line as compared to many in Normal FL at -2 and 0 dpa. However, at 10 dpa there were no fibre cells found elongated in Fl but many elongated cells were found in FL line. Up-regulation of transcription factors, AP2-EREBP, C2H2, C3H, HB and WRKY was observed at 0 dpa whereas in 10 dpa transcription factors, AP2-EREBP, AUX/IAA, bHLH, C2H2, C3H, HB, MYB, NAC, Orphans, PLATZ and WRKY were found down regulated in Fl line. These transcription factors were mainly involved in metabolic pathways such as phytohormone signaling, energy metabolism of cell, fatty acid metabolism, secondary metabolism and other signaling pathways and are related directly or indirectly in fiber development. Quantitative real-time PCR was performed to check fold up or down-regulation of these genes and transcription factors (TFs) down regulated in mutants as compared to normal at 0 and 10 dpa. This study elucidates that the up-regulation of transcription factors like AP2-EREBP, C2H2, C3H, HB, WRKY and phytohormone signaling genes at 0 dpa and their down-regulation at the 10 dpa might have constrain the fibre elongation in fuzzy-lintless line. Along with this the down-regulation of genes involved in synthesis of VLCFA chain, transcripts necessary for energy and cell wall metabolism, EXPANSINs, arabinogalactan proteins (AGPs), tubulin might also be the probable reason for reduced growth of fibres in the Fl. Plant receptor-like kinases (RLKs), Leucine Rich Repeats) LRR- family protein and signal transduction coding for mitogen-activated protein kinase (MAPK) cascade, have been engaged in coordination of cell elongation and SCW biosynthesis, down-regulation of these might loss the function leads to reduced fibre growth.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 24%
Researcher 7 21%
Student > Bachelor 4 12%
Student > Master 3 9%
Professor > Associate Professor 2 6%
Other 3 9%
Unknown 6 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 42%
Biochemistry, Genetics and Molecular Biology 5 15%
Medicine and Dentistry 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Computer Science 1 3%
Other 1 3%
Unknown 9 27%
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 02 September 2017.
All research outputs
#15,478,452
of 23,001,641 outputs
Outputs from BMC Genomics
#6,724
of 10,692 outputs
Outputs of similar age
#198,382
of 316,373 outputs
Outputs of similar age from BMC Genomics
#117
of 210 outputs
Altmetric has tracked 23,001,641 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 10,692 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 28th percentile – i.e., 28% 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 316,373 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 210 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.