Evidence map›Paper›PMID 39441672›Full record

ArticleThe Plant journal : for cell and molecular biology2024

Daily glycome and transcriptome profiling reveals polysaccharide structures and correlated glycosyltransferases critical for cotton fiber growth.

Sivakumar Swaminathan, Corrinne E Grover, Alither S Mugisha, Lauren E Sichterman, Youngwoo Lee, Pengcheng Yang, Eileen L Mallery, Josef J Jareczek, Alexis G Leach, Jun Xie and 3 more

Abstract read
In one paragraph

Article in The Plant journal : for cell and molecular biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

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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

4 citing papers in PubMed.

  1. Article
  2. Comparative multi "omics" profiling ofFrontiers in plant science · 2026
    Article
  3. Article
  4. Article
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

13 authors.

Sivakumar SwaminathanRoy J. Carver Department of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, Iowa, 50011, USA.ORCID 0000-0003-3931-275X
Corrinne E GroverDepartment of Ecology, Evolution and Organismal Biology, Iowa State University, Ames, Iowa, 50011, USA.ORCID 0000-0003-3878-5459
Alither S MugishaRoy J. Carver Department of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, Iowa, 50011, USA.
Lauren E SichtermanRoy J. Carver Department of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, Iowa, 50011, USA.
Youngwoo LeeDepartment of Biological Sciences, Purdue University, West Lafayette, Indiana, 47907, USA.ORCID 0000-0001-5260-0153
Pengcheng YangDepartment of Statistics, Purdue University, West Lafayette, Indiana, 47907, USA.
Eileen L MalleryDepartment of Biological Sciences, Purdue University, West Lafayette, Indiana, 47907, USA.
Josef J JareczekDepartment of Ecology, Evolution and Organismal Biology, Iowa State University, Ames, Iowa, 50011, USA.
Alexis G LeachDepartment of Ecology, Evolution and Organismal Biology, Iowa State University, Ames, Iowa, 50011, USA.
Jun XieDepartment of Statistics, Purdue University, West Lafayette, Indiana, 47907, USA.
Jonathan F WendelDepartment of Ecology, Evolution and Organismal Biology, Iowa State University, Ames, Iowa, 50011, USA.
Daniel B SzymanskiDepartment of Biological Sciences, Purdue University, West Lafayette, Indiana, 47907, USA.
Olga A ZabotinaRoy J. Carver Department of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, Iowa, 50011, USA.

Funding

National Science Foundation-Plant Genome Research Project 1951819
6 · The paper itself

Abstract

Cotton fiber is the most valuable naturally available material for the textile industry and the fiber length and strength are key determinants of its quality. Dynamic changes in the pectin, xyloglucan, xylan, and cellulose polysaccharide epitope content during fiber growth contribute to complex remodeling of fiber cell wall (CW) and quality. Detailed knowledge about polysaccharide compositional and structural alteration in the fiber during fiber elongation and strengthening is important to understand the molecular dynamics of fiber development and improve its quality. Here, large-scale glycome profiling coupled with fiber phenotype and transcriptome profiling was conducted on fiber collected daily covering the most critical window of fiber development. The profiling studies with high temporal resolution allowed us to identify specific polysaccharide epitopes associated with distinct fiber phenotypes that might contribute to fiber quality. This study revealed the critical role of highly branched RG-I pectin epitopes such as β-1,4-linked-galactans, β-1,6-linked-galactans, and arabinogalactans, in addition to earlier reported homogalacturonans and xyloglucans in the formation of cotton fiber middle lamella and contributing to fiber plasticity and elongation. We also propose the essential role of heteroxylans (Xyl-MeGlcA and Xyl-3Ar), as a guiding factor for secondary CW cellulose microfibril arrangement, thus contributing to fiber strength. Correlation analysis of profiles of polysaccharide epitopes from glycome data and expression profiles of glycosyltransferase-encoding genes from transcriptome data identified several key putative glycosyltransferases that are potentially involved in synthesizing the critical polysaccharide epitopes. The findings of this study provide a foundation to identify molecular factors that dictate important fiber traits.

Indexed as

Cotton FiberGene Expression ProfilingGlycosyltransferasesGossypiumPolysaccharidesCelluloseCell WallEpitopesGene Expression Regulation, PlantGlucansGlycomicsPectinsPlant ProteinsTranscriptomeXylansCelluloseEpitopesGlucansGlycosyltransferasesPectinsPlant ProteinsPolysaccharidesXylansxyloglucancellulosecotton fiberglycome profilingglycosyltransferasesGossypium hirsutumpectinpolysaccharide epitopestranscriptome profilingxylanxyloglucan

Identifiers

PMID39441672
PMCPMC11629744

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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.