Evidence map›Paper›PMID 25156487›Full record

ArticlePlanta2014

Proteomics profiling of fiber development and domestication in upland cotton (Gossypium hirsutum L.).

Guanjing Hu, Jin Koh, Mi-Jeong Yoo, Dharminder Pathak, Sixue Chen, Jonathan F Wendel

Abstract read
PubMed Publisher
In one paragraph

Article in Planta, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.6field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 28 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Guanjing HuDepartment of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA, 50011, USA.
Jin Koh
Mi-Jeong Yoo
Dharminder Pathak
Sixue Chen
Jonathan F Wendel
University of Florida · USIowa State University · USPunjab Agricultural University · IN

Funding

Establishment of a High Performance UPLC-QSTAR Elite Proteomics Platform at UniveS10RR025418 · NCRR · UNIVERSITY OF FLORIDA · PI CHEN, SIXUE · 2009 to 2009
$326k
NCRR NIH HHS 1S10RR025418-01
6 · The paper itself

Abstract

Comparative proteomic analyses were performed to detail the evolutionary consequences of strong directional selection for enhanced fiber traits in modern upland cotton (Gossypium hirsutum L.). Using two complementary proteomic approaches, 2-DE and iTRAQ LC-MS/MS, fiber proteomes were examined for four representative stages of fiber development. Approximately 1,000 protein features were characterized using each strategy, collectively resulting in the identification and functional categorization of 1,223 proteins. Unequal contributions of homoeologous proteins were detected for over a third of the fiber proteome, but overall expression was balanced with respect to the genome-of-origin in the allopolyploid G. hirsutum. About 30% of the proteins were differentially expressed during fiber development within wild and domesticated cotton. Notably, domestication was accompanied by a doubling of protein developmental dynamics for the period between 10 and 20 days following pollination. Expression levels of 240 iTRAQ proteins and 293 2-DE spots were altered by domestication, collectively representing multiple cellular and metabolic processes, including metabolism, energy, protein synthesis and destination, defense and stress response. Analyses of homoeolog-specific expression indicate that duplicated gene products in cotton fibers can be differently regulated in response to selection. These results demonstrate the power of proteomics for the analysis of crop domestication and phenotypic evolution.

Indexed as

AgricultureCotton FiberAmino Acid SequenceGossypiumMolecular Sequence DataPlant ProteinsPolyploidyProteomicsSequence Homology, Amino AcidPlant Proteins

Identifiers

PMID25156487
OpenAlexW1978375761

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.