Evidence map›Paper›PMID 24383761›Full record

ArticleRice (New York, N.Y.)2014

Improvement of marker-based predictability of Apparent Amylose Content in japonica rice through GBSSI allele mining.

Chiara Biselli, Daniela Cavalluzzo, Rosaria Perrini, Alberto Gianinetti, Paolo Bagnaresi, Simona Urso, Gabriele Orasen, Francesca Desiderio, Elisabetta Lupotto, Luigi Cattivelli and 1 more

Open access · goldAbstract read
In one paragraph

Article in Rice (New York, N.Y.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
14.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

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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

27 citing papers in PubMed, 229 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Unraveling the genetic potential of native rice (Frontiers in plant science · 2023
    Article
  9. Article
  10. Article
  11. Mutation ofInternational journal of molecular sciences · 2022
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  12. Article
  13. Review
  14. Article
  15. Article
  16. Journal of genetics · 2021
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  17. Article
  18. Article
  19. Article
  20. Review
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

11 authors at 1 institution in 1 country.

Chiara Biselli
Daniela Cavalluzzo
Rosaria Perrini
Alberto Gianinetti
Paolo Bagnaresi
Simona Urso
Gabriele Orasen
Francesca Desiderio
Elisabetta Lupotto
Luigi Cattivelli
Giampiero ValèRice Research Unit, CRA-Consiglio per la Ricerca e la Sperimentazione in Agricoltura, S,S, 11 to Torino, Km 2,5, 13100 Vercelli, Italy. giampiero.vale@entecra.it.
Istituto Sperimentale per la Frutticoltura · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundApparent Amylose Content (AAC), regulated by the Waxy gene, represents the key determinant of rice cooking properties. In occidental countries high AAC rice represents the most requested market class but the availability of molecular markers allowing specific selection of high AAC varieties is limited.

resultsIn this study, the effectiveness of available molecular markers in predicting AAC was evaluated in a collection of 127 rice accessions (125 japonica ssp. and 2 indica ssp.) characterized by AAC values from glutinous to 26%. The analyses highlighted the presence of several different allelic patterns identifiable by a few molecular markers, and two of them, i.e., the SNPs at intron1 and exon 6, were able to explain a maximum of 79.5% of AAC variation. However, the available molecular markers haplotypes did not provide tools for predicting accessions with AAC higher than 24.5%. To identify additional polymorphisms, the re-sequencing of the Waxy gene and 1kbp of the putative upstream regulatory region was performed in 21 genotypes representing all the AAC classes identified. Several previously un-characterized SNPs were identified and four of them were used to develop dCAPS markers.

conclusionsThe addition of the SNPs newly identified slightly increased the AAC explained variation and allowed the identification of a haplotype almost unequivocally associated to AAC higher than 24.5%. Haplotypes at the waxy locus were also associated to grain length and length/width (L/W) ratio. In particular, the SNP at the first intron, which identifies the Wxa and Wxb alleles, was associated with differences in the width of the grain, the L/W ratio and the length of the kernel, most likely as a result of human selection.

Identifiers

PMID24383761
PMCPMC3904453
OpenAlexW2150374329

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.