Evidence map›Paper›PMID 24292365›Full record

ArticleScientific reports2013

SNP genotyping allows an in-depth characterisation of the genome of sugarcane and other complex autopolyploids.

Antonio A F Garcia, Marcelo Mollinari, Thiago G Marconi, Oliver R Serang, Renato R Silva, Maria L C Vieira, Renato Vicentini, Estela A Costa, Melina C Mancini, Melissa O S Garcia and 16 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 1 pooled it
14.8field-weighted citation impact, top 1% 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

61 citing papers in PubMed, 1 synthesis or guideline pooled it, 145 citations in OpenAlex.

  1. Pooled it
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  15. Genomic prediction with allele dosage information in highly polyploid species.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Article
  16. Article
  17. Review
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  19. Improved genomic prediction of clonal performance in sugarcane by exploiting non-additive genetic effects.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Article
  20. Article

1 more citing papers are in PubMed but not listed here.

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

26 authors at 7 institutions in 3 countries.

Antonio A F Garcia1] Departamento de Genética, Escola Superior de Agricultura "Luiz de Queiroz" Universidade de São Paulo, Brazil [2].
Marcelo Mollinari
Thiago G Marconi
Oliver R Serang
Renato R Silva
Maria L C Vieira
Renato Vicentini
Estela A Costa
Melina C Mancini
Melissa O S Garcia
Maria M Pastina
Rodrigo Gazaffi
Eliana R F Martins
Nair Dahmer
Danilo A Sforça
Claudio B C Silva
Peter Bundock
Robert J Henry
Glaucia M Souza
Marie-Anne van Sluys
Marcos G A Landell
Monalisa S Carneiro
Michel A G Vincentz
Luciana R Pinto
Roland Vencovsky
Anete P Souza
Universidade de São Paulo · BRUniversidade Estadual de Campinas (UNICAMP) · BRAgronomical Institute of Campinas · BRHarvard University · USSouthern Cross University · AUUniversidade Federal de São Carlos · BRUniversity of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many plant species of great economic value (e.g., potato, wheat, cotton, and sugarcane) are polyploids. Despite the essential roles of autopolyploid plants in human activities, our genetic understanding of these species is still poor. Recent progress in instrumentation and biochemical manipulation has led to the accumulation of an incredible amount of genomic data. In this study, we demonstrate for the first time a successful genetic analysis in a highly polyploid genome (sugarcane) by the quantitative analysis of single-nucleotide polymorphism (SNP) allelic dosage and the application of a new data analysis framework. This study provides a better understanding of autopolyploid genomic structure and is a sound basis for genetic studies. The proposed methods can be employed to analyse the genome of any autopolyploid and will permit the future development of high-quality genetic maps to assist in the assembly of reference genome sequences for polyploid species.

Indexed as

AllelesGenome, PlantGenotypePolymorphism, Single NucleotidePolyploidySaccharum

Identifiers

PMID24292365
PMCPMC3844970
OpenAlexW2112865582

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.