Evidence map›Paper›PMID 27639274›Full record

ReviewIntegrative and comparative biology2016

Resources and Recommendations for Using Transcriptomics to Address Grand Challenges in Comparative Biology.

Donald L Mykles, Karen G Burnett, David S Durica, Blake L Joyce, Fiona M McCarthy, Carl J Schmidt, Jonathon H Stillman

Erratum issuedAbstract readReview
In one paragraph

Review in Integrative and comparative biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Donald L Mykles*Department of Biology, Colorado State University, Fort Collins, CO 80523, USA donald.mykles@colostate.edu.
Karen G BurnettGrice Marine Laboratory, College of Charleston, Charleston, SC 29412, USA.
David S DuricaDepartment of Biology, University of Oklahoma, Norman, OK 73019, USA.
Blake L JoyceBIO5 Institute, School of Plant Sciences, University of Arizona, Tucson, AZ 85721, USA.
Fiona M McCarthySchool of Animal and Comparative Biomedical Sciences, University of Arizona, Tucson, AZ 85721, USA.
Carl J SchmidtDepartment of Animal and Food Sciences, University of Delaware, Newark, DE 19716.
Jonathon H StillmanRomberg Tiburon Center for Environmental Studies and Department of Biology, San Francisco State University, Tiburon, CA 94920, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput RNA sequencing (RNA-seq) technology has become an important tool for studying physiological responses of organisms to changes in their environment. De novo assembly of RNA-seq data has allowed researchers to create a comprehensive catalog of genes expressed in a tissue and to quantify their expression without a complete genome sequence. The contributions from the "Tapping the Power of Crustacean Transcriptomics to Address Grand Challenges in Comparative Biology" symposium in this issue show the successes and limitations of using RNA-seq in the study of crustaceans. In conjunction with the symposium, the Animal Genome to Phenome Research Coordination Network collated comments from participants at the meeting regarding the challenges encountered when using transcriptomics in their research. Input came from novices and experts ranging from graduate students to principal investigators. Many were unaware of the bioinformatics analysis resources currently available on the CyVerse platform. Our analysis of community responses led to three recommendations for advancing the field: (1) integration of genomic and RNA-seq sequence assemblies for crustacean gene annotation and comparative expression; (2) development of methodologies for the functional analysis of genes; and (3) information and training exchange among laboratories for transmission of best practices. The field lacks the methods for manipulating tissue-specific gene expression. The decapod crustacean research community should consider the cherry shrimp, Neocaridina denticulata, as a decapod model for the application of transgenic tools for functional genomics. This would require a multi-investigator effort.

Indexed as

AnimalsBiologyComputational BiologyCongresses as TopicModels, Animal

Identifiers

PMID27639274
PMCPMC5146710

What OpenQuestion holds

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Registered trials

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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.