TAILIEUCHUNG - Genetic comparison between natural and planted populations of Pinus brutia and Cupressus sempervirens in Syria

There is wide consensus that ongoing deforestation contributes to global warming and poses a threat to species diversity. Less understood is whether the practice of creating plantations might also erode genetic diversity and undermine the genetic structure of tree populations. | Turkish Journal of Agriculture and Forestry Turk J Agric For (2014) 38: 267-280 © TÜBİTAK doi: Research Article Genetic comparison between natural and planted populations of Pinus brutia and Cupressus sempervirens in Syria 1, 2 1 Batoul N. AL-HAWIJA *, Viktoria WAGNER , Isabell HENSEN Institute of Biology/Geobotany and Botanical Garden, Martin Luther University of Halle-Wittenberg, Halle/Saale, Germany 2 Department of Botany and Zoology, Masaryk University, Brno, Czech Republic 1 Received: Accepted: Published Online: Printed: Abstract: There is wide consensus that ongoing deforestation contributes to global warming and poses a threat to species diversity. Less understood is whether the practice of creating plantations might also erode genetic diversity and undermine the genetic structure of tree populations. We tested these hypotheses in natural and planted populations of Pinus brutia Ten. subsp. brutia and Cupressus sempervirens L. var. horizontalis (Mill.), 2 important forestry species in the Mediterranean region. We used plant material from 3 different bioclimatic regions in Syria. Using RAPD markers, we evaluated the genetic diversity and structure of 12 populations of P. brutia (6 natural, 6 planted) and 9 populations of C. sempervirens (3 natural, 6 planted). Expected heterozygosity (He) and percentage of polymorphic loci (PPL) were high in both species (P. brutia: He = , PPL = ; C. sempervirens: He = , PPL = ). In accordance with our assumptions, plantations of P. brutia manifested significant reduction in mean genetic diversity; this result, however, was not revealed in C. sempervirens. Analysis of molecular variance (AMOVA) demonstrated that the genetic structure of plantations differed from that of natural populations. Interestingly, plantations of both species harbored more genetic differentiation among them .

• Nông nghiệp
• Genetic differentiation
• Genetic diversity
• Genetic structure
• Tree populations
• Socioeconomic significance
• BMC Plant Biology
• Adaptive genetic differentiation
• Environment associated loci
• Genome scans
• Landscape genomics
• Pterocarya stenoptera
• Plant Biology
• Ulmus lamellosa
• Demographic history
• Endangered plant
• Geographical changes
• BMC Genetics
• Comparative genomics
• Genetic variation
• Population differentiation
• Derived allele frequency
• Abies equi trojani
• A
• nordmanniana
• bornmuelleriana
• Genetic similarity
• Genetic distance
• RAPD Markers
• Analysis of molecular variance
• SSR markers
• Simple sequence repeat
• Journal of Botany
• Crimean juniper
• Genetic isolation
• Intron targeted amplified polymorphism (ITAP)
• Molecular variance
• Simple sequence repeat (SSR)
• Genomic variation
• Subpopulation differentiation
• Zea mays L
• Genome wide association study
• Latitudinal variation
• Local adaptation
• Phenotypic differentiation
• Population genetics
• Genetic map
• Fruit size
• QTL analysis
• Differentiation traits
• Molecular mechanisms
• BMC Genomics
• Sex determination and differentiation
• RNA seq analysis
• Genetic network
• Dynamic co expression network
• Allele frequency
• Composite genetic risk score
• Single nucleotide polymorphisms
• Climate change
• Phenotypic plasticity
• Sex ratio
• Sex differentiation
• Temperature increase
• Cycas simplicipinna
• Population contraction
• In situ
• Ex situ conservation
• M ciliaris
• M intertexta
• Salinity tolerance
• Simple sequence repeats
• Journal of Zoology
• Gene flow
• Population expansion
• Quercus L
• Expressed sequence tag
• Leaf morphology
• Forest fragmentation
• Tupaia longipes
• Cytochrome b
• Population structure
• Sex biased dispersal
• Brassica juncea L genotypes
• Genetic variability
• Microsatellite markers
• Prediction of suitable parents
• Analysis of allelic differentiation
• Cattle genomes
• Native breeds
• Genomic diversity
• Animal breeding
• Sex chromosome diversity
• Recombination hotspots
• Recombination plays
• Shuffling genetic variation
• Beneficial mutations
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