Evidence map›Paper›PMID 27624183›Full record

ArticleBMC genomics2016

Exome genotyping, linkage disequilibrium and population structure in loblolly pine (Pinus taeda L.).

Mengmeng Lu, Konstantin V Krutovsky, C Dana Nelson, Tomasz E Koralewski, Thomas D Byram, Carol A Loopstra

Erratum issuedAbstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–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

30 citing papers in PubMed.

  1. Article
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  14. Toward genomic selection inApplications in plant sciences · 2021
    Article
  15. Genome-wide shifts in climate-related variation underpin responses to selective breeding in a widespread conifer.Proceedings of the National Academy of Sciences of the United States of America · 2021
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  16. Review
  17. Article
  18. Article
  19. Genomics of Clinal Local Adaptation inG3 (Bethesda, Md.) · 2020
    Article
  20. 275 years of forestry meets genomics inEvolutionary applications · 2020
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Mengmeng LuDepartment of Ecosystem Science and Management, Texas A&M University, 2138 TAMU, College Station, TX, 77843-2138, USA.
Konstantin V KrutovskyDepartment of Ecosystem Science and Management, Texas A&M University, 2138 TAMU, College Station, TX, 77843-2138, USA. konstantin.krutovsky@forst.uni-goettingen.de.
C Dana NelsonUSDA Forest Service, Southern Research Station, Southern Institute of Forest Genetics, 23332 Success Road, Saucier, MS, 39574, USA.
Tomasz E KoralewskiDepartment of Ecosystem Science and Management, Texas A&M University, 2138 TAMU, College Station, TX, 77843-2138, USA.
Thomas D ByramDepartment of Ecosystem Science and Management, Texas A&M University, 2138 TAMU, College Station, TX, 77843-2138, USA.
Carol A LoopstraDepartment of Ecosystem Science and Management, Texas A&M University, 2138 TAMU, College Station, TX, 77843-2138, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLoblolly pine (Pinus taeda L.) is one of the most widely planted and commercially important forest tree species in the USA and worldwide, and is an object of intense genomic research. However, whole genome resequencing in loblolly pine is hampered by its large size and complexity and a lack of a good reference. As a valid and more feasible alternative, entire exome sequencing was hence employed to identify the gene-associated single nucleotide polymorphisms (SNPs) and to genotype the sampled trees.

resultsThe exons were captured in the ADEPT2 association mapping population of 375 clonally-propagated loblolly pine trees using NimbleGen oligonucleotide hybridization probes, and then exome-enriched genomic DNA fragments were sequenced using the Illumina HiSeq 2500 platform. Oligonucleotide probes were designed based on 199,723 exons (≈49 Mbp) partitioned from the loblolly pine reference genome (PineRefSeq v. 1.01). The probes covered 90.2 % of the target regions. Capture efficiency was high; on average, 67 % of the sequence reads generated for each tree could be mapped to the capture target regions, and more than 70 % of the captured target bases had at least 10X sequencing depth per tree. A total of 972,720 high quality SNPs were identified after filtering. Among them, 53 % were located in coding regions (CDS), 5 % in 5' or 3' untranslated regions (UTRs) and 42 % in non-target and non-coding regions, such as introns and adjacent intergenic regions collaterally captured. We found that linkage disequilibrium (LD) decayed very rapidly, with the correlation coefficient (r (2)) between pairs of SNPs linked within single scaffolds decaying to half maximum (r (2) = 0.22) within 55 bp, to r (2) = 0.1 within 192 bp, and to r (2) = 0.05 within 451 bp. Population structure analysis using unlinked SNPs demonstrated the presence of two main distinct clusters representing western and eastern parts of the loblolly pine range included in our sample of trees.

conclusionsThe obtained results demonstrated the efficiency of exome capture for genotyping species such as loblolly pine with a large and complex genome. The highly diverse genetic variation reported in this study will be a valuable resource for future genetic and genomic research in loblolly pine.

Indexed as

Genotyping TechniquesLinkage DisequilibriumExomeGenotypePinus taedaPolymorphism, Single NucleotideExome sequence captureGenotyping by sequencingLinkage disequilibriumLoblolly pinePopulation structureSNPsTarget enrichment

Identifiers

PMID27624183
PMCPMC5022155

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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.