Evidence map›Paper›PMID 24386276›Full record

ArticlePloS one2013

Transcriptome analysis of nodes and buds from high and low tillering switchgrass inbred lines.

Yixing Wang, Xin Zeng, Lila Peal, Yuhong Tang, Yanqi Wu, Ramamurthy Mahalingam

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

  1. Fine-mapping theMolecular breeding : new strategies in plant improvement · 2025
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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 1 country.

Yixing WangDepartment of Biochemistry and Molecular Biology, Oklahoma State University, Stillwater, Oklahoma, United States of America.
Xin ZengDepartment of Biochemistry and Molecular Biology, Oklahoma State University, Stillwater, Oklahoma, United States of America.
Lila PealBiology Department, Langston University, Langston, Oklahoma, United States of America.
Yuhong TangPlant Biology Division, Samuel Roberts Noble Foundation, Ardmore, Oklahoma, United States of America.
Yanqi WuDepartment of Plant and Soil Sciences, Oklahoma State University, Stillwater, Oklahoma, United States of America.
Ramamurthy MahalingamDepartment of Biochemistry and Molecular Biology, Oklahoma State University, Stillwater, Oklahoma, United States of America.
Oklahoma State University · USLangston University · USNoble Research Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last two decades switchgrass has received increasing attention as a promising bioenergy feedstock. Biomass is the principal trait for improvement in switchgrass breeding programs and tillering is an important component of biomass yield. Switchgrass inbred lines derived from a single parent showing vast variation in tiller number trait was used in this study. Axillary buds, which can develop into tillers, and node tissues, which give rise to axillary buds, were collected from high and low tillering inbred lines growing in field conditions. RNA from buds and nodes from the contrasting inbred lines were used for transcriptome profiling with switchgrass Affymetrix genechips. Nearly 7% of the probesets on the genechip exhibited significant differential expression in these lines. Real-time PCR analysis of 30 genes confirmed the differential expression patterns observed with genechips. Cluster analysis aided in identifying probesets unique to high or low tillering lines as well as those specific to buds or nodes of high tillering lines. Rice orthologs of the switchgrass genes were used for gene ontology (GO) analysis with AgriGO. Enrichment of genes associated with amino acid biosynthesis, lipid transport and vesicular transport were observed in low tillering lines. Enrichment of GOs for translation, RNA binding and gene expression in high tillering lines were indicative of active metabolism associated with rapid growth and development. Identification of different classes of transcription factor genes suggests that regulation of many genes determines the complex process of axillary bud initiation and development. Genes identified in this study will complement the current ongoing efforts in quantitative trait loci mapping of tillering in switchgrass.

Indexed as

AgricultureGene Expression ProfilingInbreedingChromosome MappingGene OntologyMultigene FamilyPanicumPlant ShootsPlant StemsQuantitative Trait Loci

Identifiers

PMID24386276
PMCPMC3875486
OpenAlexW1969954458

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.