Evidence map›Paper›PMID 30155368›Full record

ArticlePeerJ2018

Comparative analysis of whole flower transcriptomes in the Zingiberales.

Ana Maria R Almeida, Alma Piñeyro-Nelson, Roxana B Yockteng, Chelsea D Specht

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Metabolic and Transcriptomic Profiling ofFrontiers in plant science · 2021
    Article
  2. Transcriptomics of the Rooibos (Biotech (Basel (Switzerland)) · 2020
    Article
  3. 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

4 authors at 4 institutions in 4 countries.

Ana Maria R Almeida *Department of Biological Sciences, California State University, Hayward, Hayward, CA, United States of America.
Alma Piñeyro-Nelson *Department of Food and Animal Production, Autonomous Metropolitan University, Xochimilco, Mexico City, DF, Mexico.
Roxana B YocktengCentro de Investigaciones Tibaitatá, Corporación Colombiana de Investigación Agropecuaria (AGROSAVIA), Tibaitatá, Colombia.
Chelsea D SpechtSchool of Integrative Plant Sciences, Section of Plant Biology and the L.H. Bailey Hortorium, Cornell University, Ithaca, NY, United States of America.
California State University System · USColombian Corporation for Agricultural Research - AGROSAVIA · COCornell University · USUniversidad Autónoma Metropolitana · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advancement of next generation sequencing technologies (NGS) has revolutionized our ability to generate large quantities of data at a genomic scale. Despite great challenges, these new sequencing technologies have empowered scientists to explore various relevant biological questions on non-model organisms, even in the absence of a complete sequenced reference genome. Here, we analyzed whole flower transcriptome libraries from exemplar species across the monocot order Zingiberales, using a comparative approach in order to gain insight into the evolution of the molecular mechanisms underlying flower development in the group. We identified 4,153 coding genes shared by all floral transcriptomes analyzed, and 1,748 genes that are only retrieved in the Zingiberales. We also identified 666 genes that are unique to the ginger lineage, and 2,001 that are only found in the banana group, while in the outgroup species

Indexed as

Floral evo-devoFloral evolutionFloral transcriptomesGinger transcriptomesMonocot flower

Identifiers

PMID30155368
PMCPMC6110254
OpenAlexW2888165127

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.