Implementation of Monmonier's algorithm of maximum differences for the regionalization of forest tree populations as a basis for the selection of seed sources

Ivetić, Vladan; Isajev, V.; Stavretović, Nenad; Mladenovic-Drinic, Snezana

doi:10.2298/abs1002425i

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…A spatial autocorrelation analysis was conducted using SAM version 4.0 [ 73 ] to detect interrelation among minimum units obeying Moran’s Index. Then, a regression analyses between [ F ST /(1 − F ST )] and environment parameters were calculated using “ade4” package [ 74 ] in R program with 95% confidence level.…”

Section: Methodsmentioning

confidence: 99%

Analysis of Genetic Diversity and Structure Pattern of Indigofera Pseudotinctoria in Karst Habitats of the Wushan Mountains Using AFLP Markers

Fan

Zhang

et al. 2017

Molecules

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Indigofera pseudotinctoria Mats is an agronomically and economically important perennial legume shrub with a high forage yield, protein content and strong adaptability, which is subject to natural habitat fragmentation and serious human disturbance. Until now, our knowledge of the genetic relationships and intraspecific genetic diversity for its wild collections is still poor, especially at small spatial scales. Here amplified fragment length polymorphism (AFLP) technology was employed for analysis of genetic diversity, differentiation, and structure of 364 genotypes of I. pseudotinctoria from 15 natural locations in Wushan Montain, a highly structured mountain with typical karst landforms in Southwest China. We also tested whether eco-climate factors has affected genetic structure by correlating genetic diversity with habitat features. A total of 515 distinctly scoreable bands were generated, and 324 of them were polymorphic. The polymorphic information content (PIC) ranged from 0.694 to 0.890 with an average of 0.789 per primer pair. On species level, Nei’s gene diversity (Hj), the Bayesian genetic diversity index (HB) and the Shannon information index (I) were 0.2465, 0.2363 and 0.3772, respectively. The high differentiation among all sampling sites was detected (FST = 0.2217, GST = 0.1746, G’ST = 0.2060, θB = 0.1844), and instead, gene flow among accessions (Nm = 1.1819) was restricted. The population genetic structure resolved by the UPGMA tree, principal coordinate analysis, and Bayesian-based cluster analyses irrefutably grouped all accessions into two distinct clusters, i.e., lowland and highland groups. The population genetic structure resolved by the UPGMA tree, principal coordinate analysis, and Bayesian-based cluster analyses irrefutably grouped all accessions into two distinct clusters, i.e., lowland and highland groups. This structure pattern may indicate joint effects by the neutral evolution and natural selection. Restricted Nm was observed across all accessions, and genetic barriers were detected between adjacent accessions due to specifically geographical landform.

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Section: Methodsmentioning

confidence: 99%

Analysis of Genetic Diversity and Structure Pattern of Indigofera Pseudotinctoria in Karst Habitats of the Wushan Mountains Using AFLP Markers

Fan

Zhang

et al. 2017

Molecules

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Delineation of beech provenance regions in Serbia by spatial analysis of genetic diversity

Ivetić¹,

Isajev²,

Nikolić

et al. 2012

Genetika

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The results of spatial analysis of genetic diversity have practical application in the definition and delineation of regional provenances of forest trees. Research in this paper, was based on the material from 27 natural populations of beech in Serbia. The genetic component of the research is based on the analysis of RAPD markers from bulk samples, using 28 primers. The spatial component of the research is based on the geographical position of the studied populations. Grouping of the studied populations in the regions, as well as their separation, was performed using the Monmonier’s algorithm of maximum differences. To visualize the results and mapping the regions of beech provenances in Serbia, GIS was used, with database included the results of this study

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Genetic structure of black poplar (Populus nigra L.) population in the area of Great War Island

Maksimovic¹,

Čortan²,

Ivetić³

et al. 2014

Genetika

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The genetic structure of black poplar (Populus nigra L.) populations in the area of Great War Island (GWI) was studied at the level of 30 genotypes, based on microsatellite molecular markers (SSR). Eleven polymorphic SSR loci were used for analysis of intarpopulation genetic variability. Observed and expected heterozygosity in studied population were high (0.70 and 0.82). The fixation index calculated for single locus ranged from -0.055 (PMGC_14) up to 0.424 (PMGC_2607), while the mean value was 0.143. Deviation from Hardy-Weinberg equilibrium (HWE) differed between single loci. Stabile genetic structure and satisfactory level of genetic variability that have been determined at the population level represent a good starting point for conservation and sustainable use of the available gene pool and further breeding of this species.

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Implementation of Monmonier's algorithm of maximum differences for the regionalization of forest tree populations as a basis for the selection of seed sources

Cited by 3 publications

References 4 publications

Analysis of Genetic Diversity and Structure Pattern of Indigofera Pseudotinctoria in Karst Habitats of the Wushan Mountains Using AFLP Markers

Analysis of Genetic Diversity and Structure Pattern of Indigofera Pseudotinctoria in Karst Habitats of the Wushan Mountains Using AFLP Markers

Delineation of beech provenance regions in Serbia by spatial analysis of genetic diversity

Genetic structure of black poplar (Populus nigra L.) population in the area of Great War Island

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