Evidence map›Paper›PMID 25309563›Full record

ReviewFrontiers in plant science2014

Genomic dissection of the seed.

Michael G Becker, Ssu-Wei Hsu, John J Harada, Mark F Belmonte

Abstract readReview
In one paragraph

Review in Frontiers in plant science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  6. Review
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  11. Article
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  13. Similarity between soybean andProceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  14. Article
  15. Review
  16. New insights into how seeds are made.Frontiers in plant science · 2015
    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.

Michael G BeckerDepartment of Biological Sciences, University of Manitoba, Winnipeg, MB Canada.
Ssu-Wei HsuDepartment of Plant Biology, University of California Davis, Davis, CA USA.
John J HaradaDepartment of Plant Biology, University of California Davis, Davis, CA USA.
Mark F BelmonteDepartment of Biological Sciences, University of Manitoba, Winnipeg, MB Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seeds play an integral role in the global food supply and account for more than 70% of the calories that we consume on a daily basis. To meet the demands of an increasing population, scientists are turning to seed genomics research to find new and innovative ways to increase food production. Seed genomics is evolving rapidly, and the information produced from seed genomics research has exploded over the past two decades. Advances in modern sequencing strategies that profile every molecule in every cell, tissue, and organ and the emergence of new model systems have provided the tools necessary to unravel many of the biological processes underlying seed development. Despite these advances, the analyses and mining of existing seed genomics data remain a monumental task for plant biologists. This review summarizes seed region and subregion genomic data that are currently available for existing and emerging oilseed models. We provide insight into the development of tools on how to analyze large-scale datasets.

Indexed as

Arabidopsisnext generation sequencingoilseedRNA seqseedsoybeantranscriptome

Identifiers

PMID25309563
PMCPMC4162360

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.