Evidence map›Paper›PMID 16322511›Full record

ArticleGenetics2006

Patterns of nucleotide diversity in wild and cultivated sunflower.

Aizhong Liu, John M Burke

Abstract read
In one paragraph

Article in Genetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 1 pooled it
–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

83 citing papers in PubMed, 1 synthesis or guideline pooled it.

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23 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

2 authors.

Aizhong LiuDepartment of Biological Sciences, Vanderbilt University, Nashville, Tennessee 37235, USA.
John M Burke

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interest in the level and organization of nucleotide diversity in domesticated plant lineages has recently been motivated by the potential for using association-based mapping techniques as a means for identifying the genes underlying complex traits. To date, however, such data have been available only for a relatively small number of well-characterized plant taxa. Here we provide the first detailed description of patterns of nucleotide polymorphism in wild and cultivated sunflower (Helianthus annuus), using sequence data from nine nuclear genes. The results of this study indicate that wild sunflower harbors at least as much nucleotide diversity as has been reported in other wild plant taxa, with randomly selected sequence pairs being expected to differ at 1 of every 70 bp. In contrast, cultivated sunflower has retained only 40-50% of the diversity present in the wild. Consistent with this dramatic reduction in polymorphism, a phylogenetic analysis of our data revealed that the cultivars form a monophyletic clade, adding to the growing body of evidence that sunflower is the product of a single domestication. Eight of the nine loci surveyed appeared to be evolving primarily under purifying selection, while the remaining locus may have been the subject of positive selection. Linkage disequilibrium (LD) decayed very rapidly in the self-incompatible wild sunflower, with the expected LD falling to negligible levels within 200 bp. The cultivars, on the other hand, exhibited somewhat higher levels of LD, with nonrandom associations persisting up to approximately 1100 bp. Taken together, these results suggest that association-based approaches will provide a high degree of resolution for the mapping of functional variation in sunflower.

Indexed as

Base PairingBase SequenceGene FrequencyGenes, PlantGenetic VariationHaplotypesHelianthusLinkage DisequilibriumMolecular Sequence DataNucleotidesPhylogenyNucleotides

Identifiers

PMID16322511
PMCPMC1461453

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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.