Evidence map›Paper›PMID 24162220›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik1996

Do molecular markers reflect patterns of differentiation in adaptive traits of conifers?

A Karhu, P Hurme, M Karjalainen, P Karvonen, K Kärkkäinen, D Neale, O Savolainen

Abstract read
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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 1996. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Genomics of Clinal Local Adaptation inG3 (Bethesda, Md.) · 2020
    Article
  2. Diversity analysis of selected rice landraces from West Bengal and their linked molecular markers for salinity tolerance.Physiology and molecular biology of plants : an international journal of functional plant biology · 2020
    Article
  3. 275 years of forestry meets genomics inEvolutionary applications · 2020
    Review
  4. Article
  5. Article
  6. Screening of rice landraces for salinity tolerance at seedling stage through morphological and molecular markers.Physiology and molecular biology of plants : an international journal of functional plant biology · 2014
    Article
  7. Article
  8. Article
  9. Article
  10. 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

7 authors.

A KarhuDepartment of Biology, University of Oulu, FIN-90570, Oulu, Finland.
P Hurme
M Karjalainen
P Karvonen
K Kärkkäinen
D Neale
O Savolainen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have examined patterns of variation of several kinds of molecular markers (isozymes, RFLPs of ribosomal DNA and anonymous low-copy number DNA, RAPDs and microsatellites) and an adaptive trait [date of bud set in Scots pine (Pinus sylvestris L.)]. The study included Finnish Scots pine populations (from latitude 60°N to 70°N) which experience a steep climatic gradient. Common garden experiments show that these populations are adapted to the location of their origin and genetically differentiated in adaptive quantitative traits, e.g. the date of bud set in first-year seedlings. In the northernmost population, bud set took place about 21 days earlier than in the southernmost population. Of the total variation in bud set, 36.4% was found among the populations. All molecular markers showed high levels of within-population variation, while differentiation among populations was low. Among all the studied markers, microsatellites were the most variable (He=0.77). Differences between populations were small, GST was less than 0.02. Our study suggests that molecular markers may be poor predictors of the population differentiation of quantitative traits in Scots pine, as exemplified here by bud-set date.

Identifiers

PMID24162220

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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.