Evidence map›Paper›PMID 27014316›Full record

ArticleFrontiers in plant science2016

Proteomic Responses of Switchgrass and Prairie Cordgrass to Senescence.

Bimal Paudel, Aayudh Das, Michaellong Tran, Arvid Boe, Nathan A Palmer, Gautam Sarath, Jose L Gonzalez-Hernandez, Paul J Rushton, Jai S Rohila

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2016. 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
3.4field-weighted citation impact, top 8% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Dynamic Reconfiguration of Switchgrass Proteomes in Response to Rust (International journal of molecular sciences · 2023
    Article
  2. A Quantitative Proteomics View on the Function ofPathogens (Basel, Switzerland) · 2018
    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

9 authors at 3 institutions in 1 country.

Bimal PaudelDepartment of Biology and Microbiology, South Dakota State University Brookings, SD, USA.
Aayudh DasDepartment of Biology and Microbiology, South Dakota State University Brookings, SD, USA.
Michaellong TranDepartment of Biology and Microbiology, South Dakota State University Brookings, SD, USA.
Arvid BoeDepartment of Plant Science, South Dakota State University Brookings, SD, USA.
Nathan A PalmerGrain, Forage and Bioenergy Research Unit, United States Department of Agriculture - Agricultural Research Service Lincoln, NE, USA.
Gautam SarathGrain, Forage and Bioenergy Research Unit, United States Department of Agriculture - Agricultural Research Service Lincoln, NE, USA.
Jose L Gonzalez-HernandezDepartment of Plant Science, South Dakota State University Brookings, SD, USA.
Paul J Rushton22nd Century Group Inc. Clarence, NY, USA.
Jai S RohilaDepartment of Biology and Microbiology, South Dakota State UniversityBrookings, SD, USA; Department of Plant Science, South Dakota State UniversityBrookings, SD, USA.
South Dakota State University · USAgricultural Research Service · US22nd Century Group (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Senescence in biofuel grasses is a critical issue because early senescence decreases potential biomass production by limiting aerial growth and development. 2-Dimensional, differential in-gel electrophoresis (2D-DIGE) followed by mass spectrometry of selected protein spots was used to evaluate differences between leaf proteomes of early (ES)- and late- senescing (LS) genotypes of Prairie cordgrass (ES/LS PCG) and switchgrass (ES/LS SG), just before and after senescence was initiated. Analysis of the manually filtered and statistically evaluated data indicated that 69 proteins were significantly differentially abundant across all comparisons, and a majority (41%) were associated with photosynthetic processes as determined by gene ontology analysis. Ten proteins were found in common between PCG and SG, and nine and 18 proteins were unique to PCG and SG respectively. Five of the 10 differentially abundant spots common to both species were increased in abundance, and five were decreased in abundance. Leaf proteomes of the LS genotypes of both grasses analyzed before senescence contained significantly higher abundances of a 14-3-3 like protein and a glutathione-S-transferase protein when compared to the ES genotypes, suggesting differential cellular metabolism in the LS vs. the ES genotypes. The higher abundance of 14-3-3 like proteins may be one factor that impacts the senescence process in both LS PCG and LS SG. Aconitase dehydratase was found in greater abundance in all four genotypes after the onset of senescence, consistent with literature reports from genetic and transcriptomic studies. A Rab protein of the Ras family of G proteins and an s-adenosylmethionine synthase were more abundant in ES PCG when compared with the LS PCG. In contrast, several proteins associated with photosynthesis and carbon assimilation were detected in greater abundance in LS PCG when compared to ES PCG, suggesting that a loss of these proteins potentially contributed to the ES phenotype in PCG. Overall, this study provides important data that can be utilized toward delaying senescence in both PCG and SG, and sets a foundational base for future improvement of perennial grass germplasm for greater aerial biomass productivity.

Indexed as

biofuel grassescordgrassproteomicssenescenceswitchgrass

Identifiers

PMID27014316
PMCPMC4789367
OpenAlexW2331808246

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.