Evidence map›Paper›PMID 22476875›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2012

Patterns of linkage disequilibrium and association mapping in diploid alfalfa (M. sativa L.).

Muhammet Sakiroglu, Sue Sherman-Broyles, Alec Story, Kenneth J Moore, Jeffery J Doyle, E Charles Brummer

Abstract read
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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
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

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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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Pearl millet a promising fodder crop for changing climate: a review.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Review
  4. Discovering new genes for alfalfa (Frontiers in plant science · 2024
    Article
  5. Article
  6. Article
  7. OMICS in Fodder Crops: Applications, Challenges, and Prospects.Current issues in molecular biology · 2022
    Review
  8. Article
  9. Prospects forFrontiers in plant science · 2021
    Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Identification of loci controlling forage yield and nutritive value in diploid alfalfa using GBS-GWAS.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2017
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Muhammet SakirogluDepartment of Bioengineering, Kafkas University, Kars, 36100, Turkey.
Sue Sherman-Broyles
Alec Story
Kenneth J Moore
Jeffery J Doyle
E Charles Brummer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Association mapping enables the detection of marker-trait associations in unstructured populations by taking advantage of historical linkage disequilibrium (LD) that exists between a marker and the true causative polymorphism of the trait phenotype. Our first objective was to understand the pattern of LD decay in the diploid alfalfa genome. We used 89 highly polymorphic SSR loci in 374 unimproved diploid alfalfa (Medicago sativa L.) genotypes from 120 accessions to infer chromosome-wide patterns of LD. We also sequenced four lignin biosynthesis candidate genes (caffeoyl-CoA 3-O-methyltransferase (CCoAoMT), ferulate-5-hydroxylase (F5H), caffeic acid-O-methyltransferase (COMT), and phenylalanine amonialyase (PAL 1)) to identify single nucleotide polymorphisms (SNPs) and infer within gene estimates of LD. As the second objective of this study, we conducted association mapping for cell wall components and agronomic traits using the SSR markers and SNPs from the four candidate genes. We found very little LD among SSR markers implying limited value for genomewide association studies. In contrast, within gene LD decayed within 300 bp below an r (2) of 0.2 in three of four candidate genes. We identified one SSR and two highly significant SNPs associated with biomass yield. Based on our results, focusing association mapping on candidate gene sequences will be necessary until a dense set of genome-wide markers is available for alfalfa.

Indexed as

DiploidyGenome, PlantLinkage DisequilibriumChromosome MappingDNA, PlantGene Expression ProfilingGenetic Association StudiesGenetic MarkersGenotypeMedicago sativaPolymorphism, Single NucleotideQuantitative Trait LociSequence AlignmentSequence Analysis, DNADNA, PlantGenetic Markers

Identifiers

PMID22476875
PMCPMC3397135

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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.