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Transcriptomic profiling of developing fiber in levant cotton (Gossypium herbaceum L.)

Overview of attention for article published in Functional & Integrative Genomics, January 2018
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Title
Transcriptomic profiling of developing fiber in levant cotton (Gossypium herbaceum L.)
Published in
Functional & Integrative Genomics, January 2018
DOI 10.1007/s10142-017-0586-4
Pubmed ID
Authors

Mithil J. Parekh, Sushil Kumar, Ranbir S. Fougat, Harshvardhan N. Zala, Ramesh J. Pandit

Abstract

Cotton (Gossypium spp.) is an imperative economic crop of the globe due to its natural textile fiber. Molecular mechanisms of fiber development have been greatly revealed in allotetraploid cotton but remained unexplored in Gossypium herbaceum. G. herbaceum can withstand the rigors of nature like drought and pests but produce coarse lint. This undesirable characteristic strongly needs the knowledge of fiber development at molecular basis. The present study reported the transcriptome sequence of the developing fiber of G. herbaceum on pyrosequencing and its analysis. About 1.38 million raw and 1.12 million quality trimmed reads were obtained followed by de novo assembly-generated 20,125 unigenes containing 14,882 coding sequences (CDs). BLASTx-based test of homology indicated that A1-derived transcripts shared a high similarity with Gossypium arboreum (A2). Functional annotation of the CDs using the UniProt categorized them into biological processes, cellular components, and molecular function, COG classification showed that a large number of CDs have significant homology in COG database (6215 CDs), and mapping of CDs with Kyoto Encyclopedia of Genes and Genomes (KEGG) database generated 200 pathways ultimately showing predominant engagement in the fiber development process. Transcription factors were predicted by comparison with Plant Transcription Factor Database, and their differential expression between stages exposed their important regulatory role in fiber development. Differential expression analysis based on reads per kilobase of transcript per million mapped reads (RPKM) value revealed activities of specific gene related to carbohydrate and lipid synthesis, carbon metabolism, energy metabolism, signal transduction, etc., at four stages of fiber development, and was validated by qPCR. Overall, this study will help as a valuable foundation for diploid cotton fiber improvement.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 38%
Student > Bachelor 2 13%
Unspecified 1 6%
Professor 1 6%
Student > Doctoral Student 1 6%
Other 2 13%
Unknown 3 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 44%
Unspecified 1 6%
Computer Science 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Unknown 6 38%
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 15 January 2018.
All research outputs
#18,583,054
of 23,016,919 outputs
Outputs from Functional & Integrative Genomics
#297
of 518 outputs
Outputs of similar age
#331,448
of 442,996 outputs
Outputs of similar age from Functional & Integrative Genomics
#4
of 14 outputs
Altmetric has tracked 23,016,919 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 518 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 26th percentile – i.e., 26% 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 442,996 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.