↓ Skip to main content

A multi-omics approach reveals function of Secretory Carrier-Associated Membrane Proteins in wood formation of Populus trees

Overview of attention for article published in BMC Genomics, January 2018
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
57 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A multi-omics approach reveals function of Secretory Carrier-Associated Membrane Proteins in wood formation of Populus trees
Published in
BMC Genomics, January 2018
DOI 10.1186/s12864-017-4411-1
Pubmed ID
Authors

Ogonna Obudulu, Niklas Mähler, Tomas Skotare, Joakim Bygdell, Ilka N. Abreu, Maria Ahnlund, Madhavi Latha Gandla, Anna Petterle, Thomas Moritz, Torgeir R. Hvidsten, Leif J. Jönsson, Gunnar Wingsle, Johan Trygg, Hannele Tuominen

Abstract

Secretory Carrier-Associated Membrane Proteins (SCAMPs) are highly conserved 32-38 kDa proteins that are involved in membrane trafficking. A systems approach was taken to elucidate function of SCAMPs in wood formation of Populus trees. Phenotypic and multi-omics analyses were performed in woody tissues of transgenic Populus trees carrying an RNAi construct for Populus tremula x tremuloides SCAMP3 (PttSCAMP3; Potri.019G104000). The woody tissues of the transgenic trees displayed increased amounts of both polysaccharides and lignin oligomers, indicating increased deposition of both the carbohydrate and lignin components of the secondary cell walls. This coincided with a tendency towards increased wood density as well as significantly increased thickness of the suberized cork in the transgenic lines. Multivariate OnPLS (orthogonal projections to latent structures) modeling of five different omics datasets (the transcriptome, proteome, GC-MS metabolome, LC-MS metabolome and pyrolysis-GC/MS metabolome) collected from the secondary xylem tissues of the stem revealed systemic variation in the different variables in the transgenic lines, including changes that correlated with the changes in the secondary cell wall composition. The OnPLS model also identified a rather large number of proteins that were more abundant in the transgenic lines than in the wild type. Several of these were related to secretion and/or endocytosis as well as both primary and secondary cell wall biosynthesis. Populus SCAMP proteins were shown to influence accumulation of secondary cell wall components, including polysaccharides and phenolic compounds, in the woody tissues of Populus tree stems. Our multi-omics analyses combined with the OnPLS modelling suggest that this function is mediated by changes in membrane trafficking to fine-tune the abundance of cell wall precursors and/or proteins involved in cell wall biosynthesis and transport. The data provides a multi-level source of information for future studies on the function of the SCAMP proteins in plant stem tissues.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 19%
Researcher 9 16%
Student > Doctoral Student 6 11%
Student > Master 6 11%
Student > Postgraduate 4 7%
Other 7 12%
Unknown 14 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 49%
Biochemistry, Genetics and Molecular Biology 10 18%
Computer Science 2 4%
Business, Management and Accounting 1 2%
Unknown 16 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 08 January 2018.
All research outputs
#7,709,323
of 23,607,611 outputs
Outputs from BMC Genomics
#3,673
of 10,774 outputs
Outputs of similar age
#153,809
of 445,045 outputs
Outputs of similar age from BMC Genomics
#87
of 221 outputs
Altmetric has tracked 23,607,611 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 10,774 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 65% of its peers.
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 445,045 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 221 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.