Evidence map›Paper›PMID 21245892›Full record

ArticleHeredity2011

Association genetics of carbon isotope discrimination, height and foliar nitrogen in a natural population of Pinus taeda L.

W P Cumbie, A Eckert, J Wegrzyn, R Whetten, D Neale, B Goldfarb

Open access · bronzeAbstract read
In one paragraph

Article in Heredity, 2011. 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
4.4field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 83 citations in OpenAlex.

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  7. Toward genomic selection inApplications in plant sciences · 2021
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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

6 authors at 3 institutions in 1 country.

W P CumbieDepartment of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC 27695-8002, USA. wpcumbie1@gmail.com
A Eckert
J Wegrzyn
R Whetten
D Neale
B Goldfarb
North Carolina State University · USUniversity of California, Davis · USUS Forest Service · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Loblolly pine, Pinus taeda L., is one of the most widely planted, commercially and ecologically important tree species in North America. We took an association genetics approach, using an unimproved population of 380 clonally replicated unrelated trees, to test 3,938 single nucleotide polymorphisms (SNPs) in as many genes for association with phenotypic variation in carbon isotope discrimination, foliar nitrogen concentration and total tree height after two growing seasons. Best linear unbiased prediction (BLUP) was used with a spatial adjustment to remove environmental variation from phenotypic data derived from a common garden experiment. After correction for multiple testing, a total of 14 SNPs were associated with the traits of carbon isotope discrimination (n = 7), height (n = 1) and foliar nitrogen concentration (n = 6) using 380 clones. Tails of the population phenotypic distribution were compared for allele frequency differences, revealing 10 SNPs with allele frequency in at least one tail significantly different from the overall population. Eight associated SNPs were in sequences similar to known genes, such as an AP2 transcription factor related to carbon isotope discrimination and glutamate decarboxylase associated with foliar nitrogen concentration, and others were from unknown genes without homologs in Arabidopsis.

Indexed as

PhenotypeCarbon IsotopesGene FrequencyGenes, PlantGenetic Association StudiesMolecular Sequence AnnotationNitrogenPinus taedaPolymorphism, Single NucleotideCarbon IsotopesNitrogen

Identifiers

PMID21245892
PMCPMC3178403
OpenAlexW2031350236

What OpenQuestion holds

Textmetadata
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.