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Articles containing the keyword 'microsatellite markers'

Category : Research article

article id 1721, category Research article
Anna Hebda, Błażej Wójkiewicz, Witold Wachowiak. (2017). Genetic characteristics of Scots pine in Poland and reference populations based on nuclear and chloroplast microsatellite markers. Silva Fennica vol. 51 no. 2 article id 1721. https://doi.org/10.14214/sf.1721
Keywords: Pinus sylvestris; phylogeography; conifers; genetic divergence; population structure; microsatellite markers; neutral variation
Highlights: Similar genetic variation was found between Polish Scots pine populations from a wide variety of habitats based on nSSR and cpSSR markers; Homogeneity was observed in the genetic structures of Polish and Finnish populations from the continuous pine range; Genetic differentiation in microsatellite markers was identified only when populations from the central pine distribution were compared to the marginal stands.
Abstract | Full text in HTML | Full text in PDF | Author Info

Polymorphisms at a set of eighteen nuclear (nSSR) and chloroplast (cpSSR) microsatellite loci were investigated in sixteen populations of Scots pine (Pinus sylvestris L.) derived from the provenance trial experiment and representative of the species distribution range and climatic zones in Poland. The patterns of genetic variation were compared to the reference samples from the species distribution in Europe and Asia. A similar level of genetic variation and no evidence of population structure was found among the Polish stands. They showed genetic similarity and homogenous patterns of allelic frequency spectra compared to the Northern European populations. Those populations were genetically divergent compared to the marginal populations from Turkey, Spain and Scotland. The population structure patterns reflect the phylogeography of the species and the divergence of populations that most likely do not share recent history. As the analysed provenance trial populations from Poland are diverged in phenotypic traits but are genetically similar, they could be used to test for selection at genomic regions that influence variation in quantitative traits.

  • Hebda, University of Agriculture in Krakow, Faculty of Forestry, Institute of Forest Ecology and Silviculture, Department of Genetics and Forest Tree Breeding, 29 Listopada 46, 31-425 Kraków, Poland ORCID http://orcid.org/0000-0002-3149-8644 E-mail: ana.hebda@gmail.com (email)
  • Wójkiewicz, Institute of Dendrology, Polish Academy of Sciences, Parkowa 5, 62-035 Kórnik, Poland E-mail: bwojkiew@man.poznan.pl
  • Wachowiak, Institute of Dendrology, Polish Academy of Sciences, Parkowa 5, 62-035 Kórnik, Poland; Institute of Environmental Biology, Faculty of Biology, Adam Mickiewicz University, Umultowska 89, 61-614 Poznań, Poland E-mail: witoldw@man.poznan.pl
article id 1705, category Research article
Sulmaz Janfaza, Hamed Yousefzadeh, Seyed Mohammad Hosseini Nasr, Roberto Botta, Asad Asadi Abkenar, Daniela Torello Marinoni. (2017). Genetic diversity of Castanea sativa an endangered species in the Hyrcanian forest. Silva Fennica vol. 51 no. 1 article id 1705. https://doi.org/10.14214/sf.1705
Keywords: population structure; microsatellite markers; sweet chestnut
Highlights: This is the first report of genetic diversity of the few remaining populations of C. sativa in the southern limits of its distribution in Eurasia; Low genetic diversity and high genetic differentiation among small isolated populations of C. sativa with low geographical distance represent serious genetic erosion indicators in the Hyrcanian forest, even hinting at an ongoing extinction vortex.
Abstract | Full text in HTML | Full text in PDF | Author Info

Castanea sativa Mill. is one of the most endangered tree species in Iran where it is represented by small fragmented populations in the north of the country. 18 simple sequence repeat (SSR) loci (10 nuclear and 8 chloroplastic) were used to evaluate the genetic diversity and population structure of C. sativa from the Hyrcanian forest. For nuclear SSR, the number of alleles detected per locus ranged from 1 to 5 and observed heterozygosity (HO) was between 0.125 and 1.000. Analysis of molecular variance (AMOVA) indicated a high level of variation within populations (84%) and low levels between populations (16%). Based on structure analysis, the four studied populations were divided into two main clusters that have genetic distance Fst = 0.3. The Shafaroud population was separated in the first cluster, Siyahmazgi, Qalehroudkhan and Veysroud were placed in the second cluster. The UPGMA analysis confirmed the results of Structure analysis, separating the Shafaroud population from the others. The 8 chloroplast SSR loci used to screen the populations showed no polymorphism. In General, low nuclear genetic diversity, no polymorphism in cpDNA and considerable genetic differentiation among populations in short geographical distance represent a serious genetic erosion threat for C. sativa in the Hyrcanian forest, even hinting at an ongoing extinction vortex. Therefore, due to significant decline in genetic diversity, it is essential to introduce constraints protection upon the areas of distribution of all four populations of this species in Iran.

  • Janfaza, Department of Forestry, Sari University of Agriculture Sciences and Natural Resources, Km 9 Darya Road, P.O. Box 578, Mazandaran, Iran E-mail: aristocratka_b@yahoo.com
  • Yousefzadeh, Department of Environment, Faculty of Natural Resources and Marine Science ,Tarbiat Modares University, Noor, Mazandaran, Iran E-mail: h.yousefzadeh@modares.ac.ir (email)
  • Hosseini Nasr, Department of Forestry, Sari University of Agriculture Sciences and Natural Resources, Km 9 Darya Road, P.O. Box 578, Mazandaran, Iran E-mail: s.hosseini@sanru.ac.ir
  • Botta, Dipartimento di Scienze Agrarie Forestali e Alimentari, DISAFA, Università di Torino, Via Verdi 8, 10124 Torino, Italy E-mail: roberto.botta@unito.it
  • Asadi Abkenar, Agricultural Research, Education and Extension Organization (AREEO) of IRAN, Agricultural Biotechnology Research Institute of Iran (RBRII), Branch of North Region, Guilan, Rasht, Iran E-mail: asadiabkenarasad@gmail.com
  • Marinoni, Dipartimento di Scienze Agrarie Forestali e Alimentari, DISAFA, Università di Torino, Via Verdi 8, 10124 Torino, Italy E-mail: daniela.marinoni@unito.it

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