Evidence map›Paper›PMID 27438485›Full record

ArticlePloS one2016

Transcriptomic Analysis of Multipurpose Timber Yielding Tree Neolamarckia cadamba during Xylogenesis Using RNA-Seq.

Kunxi Ouyang, Juncheng Li, Xianhai Zhao, Qingmin Que, Pei Li, Hao Huang, Xiaomei Deng, Sunil Kumar Singh, Ai-Min Wu, Xiaoyang Chen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. 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
1.7field-weighted citation impact, top 15% 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, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Transcriptomic Evidence Reveals Low Gelatinous Layer Biosynthesis inInternational journal of molecular sciences · 2022
    Article
  5. Physiological and Transcriptomic Responses of Growth inInternational journal of molecular sciences · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. High frequency plant regeneration from leaf culture ofPlant biotechnology (Tokyo, Japan) · 2019
    Article
  11. Article
  12. 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

10 authors at 3 institutions in 2 countries.

Kunxi OuyangState Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources (South China Agricultural University), Guangzhou, China.
Juncheng LiState Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources (South China Agricultural University), Guangzhou, China.
Xianhai ZhaoState Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources (South China Agricultural University), Guangzhou, China.
Qingmin QueState Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources (South China Agricultural University), Guangzhou, China.
Pei LiState Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources (South China Agricultural University), Guangzhou, China.
Hao HuangGuangxi Botanical Garden of Medicinal Plants, Nanning, P.R. China.
Xiaomei DengGuangdong Key Laboratory for Innovative Development and Utilization of Forest Plant Germplasm, Guangzhou, China.
Sunil Kumar SinghDepartment of Botany, Faculty of Science, The MS University of Baroda, Vadodara, Gujarat, India.
Ai-Min WuState Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources (South China Agricultural University), Guangzhou, China.
Xiaoyang ChenState Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources (South China Agricultural University), Guangzhou, China.
South China Agricultural University · CNGuangxi Medicinal Botanical Garden · CNMaharaja Sayajirao University of Baroda · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neolamarckia cadamba is a fast-growing tropical hardwood tree that is used extensively for plywood and pulp production, light furniture fabrication, building materials, and as a raw material for the preparation of certain indigenous medicines. Lack of genomic resources hampers progress in the molecular breeding and genetic improvement of this multipurpose tree species. In this study, transcriptome profiling of differentiating stems was performed to understand N. cadamba xylogenesis. The N. cadamba transcriptome was sequenced using Illumina paired-end sequencing technology. This generated 42.49 G of raw data that was then de novo assembled into 55,432 UniGenes with a mean length of 803.2bp. Approximately 47.8% of the UniGenes (26,487) were annotated against publically available protein databases, among which 21,699 and 7,754 UniGenes were assigned to Gene Ontology categories (GO) and Clusters of Orthologous Groups (COG), respectively. 5,589 UniGenes could be mapped onto 116 pathways using the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway database. Among 6,202 UniGenes exhibiting differential expression during xylogenesis, 1,634 showed significantly higher levels of expression in the basal and middle stem segments compared to the apical stem segment. These genes included NAC and MYB transcription factors related to secondary cell wall biosynthesis, genes related to most metabolic steps of lignin biosynthesis, and CesA genes involved in cellulose biosynthesis. This study lays the foundation for further screening of key genes associated with xylogenesis in N. cadamba as well as enhancing our understanding of the mechanism of xylogenesis in fast-growing trees.

Indexed as

BreedingGene Expression ProfilingGenome, PlantHigh-Throughput Nucleotide SequencingMicrosatellite RepeatsMolecular Sequence AnnotationPlant ProteinsPlant StemsRubiaceaeTranscriptomePlant Proteins

Identifiers

PMID27438485
PMCPMC4954708
OpenAlexW2496140439

What OpenQuestion holds

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LicenceCC BY
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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.