Evidence map›Paper›PMID 27499684›Full record

ArticleCurrent genomics2016

Exploring Genetic Diversity in Plants Using High-Throughput Sequencing Techniques.

Yoshihiko Onda, Keiichi Mochida

Abstract read
In one paragraph

Article in Current genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Exploring Molecular and Genetic Differences inInternational journal of molecular sciences · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Diversity of Water Yam (Plants (Basel, Switzerland) · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Genetic Variation for Seed Metabolite Levels inInternational journal of molecular sciences · 2019
    Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. 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

2 authors.

Yoshihiko OndaCellulose Production Research Team, Biomass Engineering Research Division, RIKEN Center for Sustainable Resource Science, Kanagawa,Japan;; Kihara Institute for Biological Research, Yokohama City University, Kanagawa,Japan;
Keiichi MochidaCellulose Production Research Team, Biomass Engineering Research Division, RIKEN Center for Sustainable Resource Science, Kanagawa,Japan;; Kihara Institute for Biological Research, Yokohama City University, Kanagawa,Japan;; Gene Discovery Research Group, RIKEN Center for Sustainable Resource Science, Kanagawa,Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Food security has emerged as an urgent concern because of the rising world population. To meet the food demands of the near future, it is required to improve the productivity of various crops, not just of staple food crops. The genetic diversity among plant populations in a given species allows the plants to adapt to various environmental conditions. Such diversity could therefore yield valuable traits that could overcome the food-security challenges. To explore genetic diversity comprehensively and to rapidly identify useful genes and/or allele, advanced high-throughput sequencing techniques, also called next-generation sequencing (NGS) technologies, have been developed. These provide practical solutions to the challenges in crop genomics. Here, we review various sources of genetic diversity in plants, newly developed genetic diversity-mining tools synergized with NGS techniques, and related genetic approaches such as quantitative trait locus analysis and genome-wide association study.

Indexed as

Crop improvementGenetic diversityGenotypingGWASNGS technologyQTL analysis

Identifiers

PMID27499684
PMCPMC4955029

What OpenQuestion holds

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LicenceCC BY-NC
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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.