Evidence map›Paper›PMID 29783940›Full record

ArticleBMC genomics2018

Small RNA-based prediction of hybrid performance in maize.

Felix Seifert, Alexander Thiemann, Tobias A Schrag, Dominika Rybka, Albrecht E Melchinger, Matthias Frisch, Stefan Scholten

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.3field-weighted citation impact, top 24% 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

17 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Review
  3. Optimizing selection based on BLUPs or BLUEs in multiple sets of genotypes differing in their population parameters.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  4. Article
  5. Article
  6. Genomic prediction in hybrid breeding: I. Optimizing the training set design.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  7. Article
  8. Epigenetic Changes Occurring in Plant Inbreeding.International journal of molecular sciences · 2023
    Review
  9. Article
  10. Review
  11. Review
  12. Multi-omics-based prediction of hybrid performance in canola.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Article
  13. Review
  14. Article
  15. Across-years prediction of hybrid performance in maize using genomics.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019
    Article
  16. Prospects of pan-genomics in barley.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019
    Review
  17. 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

7 authors at 3 institutions in 1 country.

Felix SeifertDevelopmental Biology, Biocenter Klein Flottbek, University of Hamburg, 22609, Hamburg, Germany.
Alexander ThiemannDevelopmental Biology, Biocenter Klein Flottbek, University of Hamburg, 22609, Hamburg, Germany.
Tobias A SchragInstitute for Plant Breeding, Seed Science and Population Genetics, Quantitative Genetics and Genomics of Crops, University of Hohenheim, Fruwirthstrasse 21, 70599, Stuttgart, Germany.
Dominika RybkaDevelopmental Biology, Biocenter Klein Flottbek, University of Hamburg, 22609, Hamburg, Germany.
Albrecht E MelchingerInstitute for Plant Breeding, Seed Science and Population Genetics, Quantitative Genetics and Genomics of Crops, University of Hohenheim, Fruwirthstrasse 21, 70599, Stuttgart, Germany.
Matthias FrischInstitute of Agronomy and Plant Breeding II, Justus Liebig University, 35392, Giessen, Germany.
Stefan ScholtenDevelopmental Biology, Biocenter Klein Flottbek, University of Hamburg, 22609, Hamburg, Germany. stefan.scholten@uni-hohenheim.de.ORCID http://orcid.org/0000-0002-1682-3365
Universität Hamburg · DEUniversity of Hohenheim · DEJustus-Liebig-Universität Gießen · DE

Funding

Deutsche Forschungsgemeinschaft FR 1615/4-1Deutsche Forschungsgemeinschaft ME 2260/5-1Deutsche Forschungsgemeinschaft SCHO 764/6-1
6 · The paper itself

Abstract

backgroundSmall RNA (sRNA) sequences are known to have a broad impact on gene regulation by various mechanisms. Their performance for the prediction of hybrid traits has not yet been analyzed. Our objective was to analyze the relation of parental sRNA expression with the performance of their hybrids, to develop a sRNA-based prediction approach, and to compare it to more common SNP and mRNA transcript based predictions using a factorial mating scheme of a maize hybrid breeding program.

resultsCorrelation of genomic differences and messenger RNA (mRNA) or sRNA expression differences between parental lines with hybrid performance of their hybrids revealed that sRNAs showed an inverse relationship in contrast to the other two data types. We associated differences for SNPs, mRNA and sRNA expression between parental inbred lines with the performance of their hybrid combinations and developed two prediction approaches using distance measures based on associated markers. Cross-validations revealed parental differences in sRNA expression to be strong predictors for hybrid performance for grain yield in maize, comparable to genomic and mRNA data. The integration of both positively and negatively associated markers in the prediction approaches enhanced the prediction accurary. The associated sRNAs belong predominantly to the canonical size classes of 22- and 24-nt that show specific genomic mapping characteristics.

conclusionExpression profiles of sRNA are a promising alternative to SNPs or mRNA expression profiles for hybrid prediction, especially for plant species without reference genome or transcriptome information. The characteristics of the sRNAs we identified suggest that association studies based on breeding populations facilitate the identification of sRNAs involved in hybrid performance.

Indexed as

Hybridization, GeneticBreedingGene Expression ProfilingGenomicsPolymorphism, Single NucleotideRNA, MessengerRNA, Small UntranslatedZea maysRNA, MessengerRNA, Small UntranslatedEpigeneticsGrain yieldHybrid performanceHybrid trait predictionMaizeSmall RNASNPTranscriptome

Identifiers

PMID29783940
PMCPMC5963143
OpenAlexW2805275973

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.