Evidence map›Paper›PMID 16504057›Full record

ArticleBMC genetics2006

Development and application of three-tiered nuclear genetic markers for basal Hexapods using single-stranded conformation polymorphism coupled with targeted DNA sequencing.

Ryan C Garrick, Paul Sunnucks

Abstract read
In one paragraph

Article in BMC genetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. 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

2 authors.

Ryan C GarrickDepartment of Genetics, La Trobe University, Bundoora, VIC 3086, Australia. r.garrick@latrobe.edu.au
Paul Sunnucks

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMolecular genetic approaches have much to offer population biology. Despite recent advances, convenient techniques to develop and screen highly-resolving markers can be limiting for some applications and taxa. We describe an improved PCR-based, cloning-free, nuclear marker development procedure, in which single-stranded conformation polymorphism (SSCP) plays a central role. Sequence-variable alleles at putative nuclear loci are simultaneously identified and isolated from diploid tissues. Based on a multiple allele alignment, locus-specific primers are designed in conserved regions, minimizing 'null' alleles. Using two undescribed endemic Australian Collembola as exemplars, we outline a comprehensive approach to generating and validating suites of codominant, sequence-yielding nuclear loci for previously unstudied invertebrates.

resultsSix markers per species were developed without any baseline genetic information. After evaluating the characteristics of each new locus via SSCP pre-screening, population samples were genotyped on the basis of either DNA sequence, restriction site, or insertion/deletion variation, depending on which assay was deemed most appropriate. Polymorphism was generally high (mean of nine alleles per locus), and the markers were capable of resolving population structuring over very fine spatial scales (<100 km). SSCP coupled with targeted DNA sequencing was used to obtain genotypic, genic and genealogical information from six loci (three per species). Phylogeographic analysis identified introns as being most informative.

conclusionThe comprehensive approach presented here feasibly overcomes technical hurdles of (i) developing suitably polymorphic nuclear loci for non-model organisms, (ii) physically isolating nuclear allele haplotypes from diploid tissues without cloning, and (iii) genotyping population samples on the basis of nuclear DNA sequence variation.

Indexed as

Polymorphism, Single-Stranded ConformationalAnimalsArthropodsAustraliaBayes TheoremCell NucleusGene FrequencyGenetic MarkersGenetics, PopulationGenetic VariationGenotypeGeographyPhylogenyRecombination, GeneticSelection, GeneticSequence Analysis, DNAGenetic Markers

Identifiers

PMID16504057
PMCPMC1435927

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.