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ArticleFrontiers in plant science2020

Genetic Analysis by nuSSR Markers of Silver Birch (

Giovanbattista D de Dato, Angela Teani, Claudia Mattioni, Filippos Aravanopoulos, Evangelia V Avramidou, Srdjan Stojnic, Ioannis Ganopoulos, Piero Belletti, Fulvio Ducci

Abstract read
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Article in Frontiers in plant science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

9 authors.

Giovanbattista D de DatoResearch Centre for Forestry and Wood, Council for Agricultural Research and Economics, Arezzo, Italy.
Angela TeaniResearch Centre for Forestry and Wood, Council for Agricultural Research and Economics, Arezzo, Italy.
Claudia MattioniResearch Institute on Terrestrial Ecosystems, National Research Council, Porano, Italy.
Filippos AravanopoulosFaculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Evangelia V AvramidouFaculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Srdjan StojnicInstitute of Lowland Forestry and Environment, University of Novi Sad, Novi Sad, Serbia.
Ioannis GanopoulosFaculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Piero BellettiDI.S.A.F.A., Department of Plant Genetics and Breeding, University of Turin, Grugliasco, Italy.
Fulvio DucciResearch Centre for Forestry and Wood, Council for Agricultural Research and Economics, Arezzo, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the main distribution area the genetic pattern of silver birch is dominated by two haplotypes: haplotype A located in the western and north-western Europe, and haplotype C in eastern and southeastern Europe, characterized by high levels of neutral genetic variability within populations, and low differentiation among populations. Information about the amount and structure of genetic variation in the southern marginal areas, representing rear populations left during the expansion of this species from southern glacial refugia, are lacking. The general aim of the study was to investigate the existence of the climatic characteristics typical of the environmental niche of the species, jointly to genetic organization, variation and gene flow, in marginal populations on the Italian Apennines and Greek Southern Rhodope and compare them with populations of the southern part of the main distribution range on the Alps and Balkans. Genetic analysis was performed using nuclear microsatellites loci on 311 trees sampled from 14 populations. Environmental analysis was performed on the multivariate analysis of derived climatic variables. The allelic pattern was analyzed to assess genetic diversity, population diversity and differentiation, population structure and gene flow. The geographic and environmental peripherality did not always match, with some Apennine sites at higher elevation enveloped in the environmental niche. In the peripheral populations on the Apennines, we observed a lower genetic diversity and higher differentiation, with evident genetic barriers detected around these sites. These characteristics were not shown in the marginal Greek populations. Unexpectedly, the southern Italian marginal populations showed genetic links with the Greek and central area of the distribution range. The Greek populations also showed evident gene flow with the Alpine and Balkan areas. The disparity of results in these two marginal areas show that it is not the geographic peripherality or even the ecological marginality that may shape the genetic diversity and structure of marginal populations, but primarily their position as part of the continuous range or as disjunct populations. This outcome suggests different considerations on how to manage their gene pools and the role that these rear populations can play in maintaining the biodiversity of this species.

Indexed as

Betula pendula (silver birch)gene flowmarginal populationsnuclear SSR markerspopulation structure analysis

Identifiers

PMID32265963
PMCPMC7108150

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