Systematics and gene geography of Juniperus communis L. inferred from isoenzyme data

Hantemirova, E. V.; Berkutenko, A. N.; Семериков, В. Л.

doi:10.1134/s1022795412090050

Cited by 12 publications

(11 citation statements)

References 17 publications

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“…Earlier reports in literature show that the EOs from different geographical parts had chemical diversity . These findings strongly support the concept that the metabolic composition of EOs obtained from different habitats certainly is affected by the diverse genetic and environmental factors …”

Section: Introductionsupporting

confidence: 85%

Chemical Composition, Cytotoxic and Antibacterial Activities of Essential Oils of Cultivated Clones of Juniperus communis and Wild Juniperus Species

Maurya

Devi

Kumar

et al. 2018

Chemistry & Biodiversity

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Needles of seven cultivated clones (C1 – C7) of Juniperus communis at lower altitude and three wild Juniperus species (J. communis, J. recurva and J. indica) at higher altitudes were investigated comparatively for their essential oils (EOs) yields, chemical composition, cytotoxic and antibacterial activities. The EOs yields varied from 0.26 to 0.56% (v/w) among samples. Sixty‐one volatile components were identified by gas chromatography‐mass spectrometry (GC/MS) and quantified using gas chromatography GC (FID) representing 82.5 – 95.7% of the total oil. Monoterpene hydrocarbons (49.1 – 82.8%) dominated in all samples (α‐pinene, limonene and sabinene as major components). Principal component analysis (PCA) of GC data revealed that wild and cultivated Juniperus species are highly distinct due to variation in chemical composition. J. communis (wild species) displayed cytotoxicity against SiHa (human cervical cancer), A549 (human lung carcinoma) and A431 (human skin carcinoma) cells (66.4 ± 2.2%, 74.4 ± 1.4% and 57.4 ± 4.0%), respectively, at 200 μg/ml. EOs exhibited better antibacterial activity against Gram‐positive bacteria than against Gram‐negative bacteria with the highest zone of inhibition against Staphylococcus aureus MTCC 96 (19.2 ± 0.7) by clone‐7. As per the conclusion of the findings, EOs of clone‐2, clone‐5 and clone‐7 can be suggested to the growers of lower altitude, as there is more possibility of uses of these EOs in food and medicinal preparations.

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Section: Introductionsupporting

confidence: 85%

Chemical Composition, Cytotoxic and Antibacterial Activities of Essential Oils of Cultivated Clones of Juniperus communis and Wild Juniperus Species

Maurya

Devi

Kumar

et al. 2018

Chemistry & Biodiversity

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“…Influence of external factors on genetic diversity of the junipers including geographical proximity (Oostermeijer & Knegt, 2004;Sobierajska et al, 2016), long-term evolution (Hantemirova et al, 2012;Filipowicz et al, 2006;Meloni et al, 2006;Boratyński et al, 2014) has been shown in previous studies. However, there are only few studies where habitat-related peculiarities are mentioned: association between ISSR-related data and habitat type of populations have been described for J. brevifolia populations from the Azorean archipelago (Silva et al, 2011) and J. communis from Wales and England (Van der Merwe et al, 2000).…”

Section: Discussionmentioning

confidence: 99%

“…Both (RAPD and ISSR) dominant markers showed rich allelic diversity in J. brevifolia accessions and a moderate genetic similarity (Lima et al, 2010). According to isoenzyme analysis of 35 populations of J. communis L. from Russia, only 12% interpopulation variability was observed in case of all chosen loci (10), at the same time, for separate two loci, 6-Pgdh-B and Fdh, 23 and 30% of genetic variability were distributed between populations (Hantemirova et al, 2012). For J. phoenicea the level of genetic differentiation according to 17 isoenzyme loci was high, indicating about 43% of the genetic variation between populations (Boratyński et al, 2009).…”

Section: Discussionmentioning

confidence: 99%

“…Molecular studies of Juniperus genera started from isoenzyme analyses and are still ongoing (Oostermeijer & Knegt, 2004;Boratyński et al, 2009;Hantemirova et al, 2012). Genetic diversity of Juniperus species has been most extensively examined by RAPDs (Adams & Demeke, 1993;Adams et al, 2003;Adams, 2011;Dzialuk et al, 2011;Kasaian et al, 2011) in comparison to other molecular markers like microsatellites (Provan, 2008;Michalczyk et al, 2006;Douaihy et al, 2011;Sobierajska et al, 2016) or Amplified Fragment Length Polymorphism (Van der Merwe et al, 2000;Rumeu et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

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Genetic diversity of Lithuanian populations of Juniperus communis L. in relation to abiotic and biotic factors

et al. 2016

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Juniperus communis L. is increasingly threatened in many parts of Europe, including the Baltic region. Our present study was aimed at evaluation of genetic diversity of J. communis populations of Lithuania. Fourteen selected populations differed in geography and habitats (coastal brown dunes covered with natural Scots pine forests, further referred as B; J. communis shrubs, F; transition mires and quaking bogs, D; subcontinental moss Scots pine forests, G; xero-thermophile fringes, E). Molecular variance was analyzed among populations (140 individuals, in total), employing 14 Inter Simple Sequence Repeat (ISSR) markers. Percentage of polymorphic loci differed between populations belonging to the different habitat type, being the highest for population representing habitat F (68.2%) and the lowest for populations D (42.9%). The data demonstrate the possibility to underestimate or overestimate this parameter if some habitat populations are bypassed. Means per population of Nei's gene diversity and Shannon's information indexes, were 0.158 and 0.239, respectively. Significant correlation between genetic and geographic distance of populations of J. communis was documented by Mantel test. Bayesian analysis of ISSR data has separated populations of Southern Lithuania from Northern part. Juniperus communis populations representing different habitats showed moderate interpopulation variance at ISSR loci. In ISSR-based dendrograms, individuals were correctly allocated to populations, even in case of populations growing in 0.5 km vicinity (habitats D and G). Among all populations the most distinct one was representing habitat of J. communis shrubs (F) protected by EUNIS. Principal coordinate analysis of weighted averages of Ellenberg's indicator values (EIV) for herbaceous species, separated populations according to habitat type, while the same type analysis of ISSR data allowed distinguishing E habitat populations from populations of all other habitat type but G. Our study shows that on the local (Lithuanian) scale, molecular variance between populations of J. communis at ISSR loci might be related to habitat type. For evaluation and preservation of diversity of J. communis, different assessment methods should be included and management strategies should be directed in the way to retain variety of habitats encompassing both widely spread and less common ones.

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“…133 Methods 134 Data acquisition and preparation 135Geo-referenced collection data for all conifer species were extracted from the Global Biodiver-136 sity Information Facility (www.gbif.org). These data were supplemented by published species 137 records not in GBIF from: [31][32][33][34][35][36] . Climate estimates were made for each point record, using 138 Worldclim (37).…”

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confidence: 99%

The dimensions of species diversity

Bryant

et al. 2018

Preprint

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Diversification processes underpin the patterns of species diversity that fascinate biologists. 1 Two competing hypotheses disagree about the effect of competition on these processes. 2The bounded hypothesis suggests that species diversity is limited (bounded) by competition 3 between species for finite niche space, while the unbounded hypothesis proposes that evolution 4 and ecological opportunity associated with speciation, render competition unimportant. We 5 use phylogenetically structured niche modelling, to show that processes consistent with both 6 these diversification models have driven species accumulation in conifers. In agreement with 7 the bounded hypothesis, niche competition constrained diversification, and in line with the 8 unbounded hypothesis, niche evolution and partitioning promoted diversification. We then 9 analyse niche traits to show that these diversification enhancing and inhibiting processes 10 can occur simultaneously on different niche dimensions. Together these results suggests a 11 new hypothesis for lineage diversification based on the multi-dimensional nature of ecological 12 niches that accommodates both bounded and unbounded diversification processes. 13 Species diversity has changed dramatically over geological time 1 . Although diversity has 14 clearly increased since life began, reconstructions using the fossil record are ambiguous about 15 the causes of, and constraints on, this increase [2][3][4] . One important open question is whether 16 the rate of species accumulation slows as diversity increases, or is independent of diversity 4-6 . 17 The latter unbounded hypothesis implies that time, and the rate of evolution within clades 18 (monophyletic branches of phylogenies) control diversification and that there is essentially 19 no limit on total diversity 3 . Alternatively, the former bounded hypothesis suggests that 20 competitive ecological processes result in a diversity-dependent ceiling on species richness 7 . 21Resolving this debate is essential for understanding limits to biodiversity, and why diversity 22 is unevenly distributed in space and time and between clades. 23Previous attempts to discriminate between bounded and unbounded diversification have 24 focused on modelling species accumulation inferred from phylogenies 8, 9 and fossil assem-25 blages 5, 6, 10 , and to a lesser extent testing how ecological niche evolution impacts diversi-26 fication 11, 12 . The results to date have been inconclusive and often contradictory 2-4, 13, 14 , 27 suggesting that a more nuanced explanation may be required 4, 14 . Here we quantify the 28 extent to which both bounded and unbounded processes influence species accumulation in 29 1 the conifers. Our analysis exploits methodological advances that allow us to infer multi-30 dimensional physiological-niche properties for large suites of species 15,16 . We use this data 31 to discriminate between the distinctive niche-characteristics predicted by the bounded and 32 unbounded hypotheses. Specifically we test support for the b...

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Systematics and gene geography of Juniperus communis L. inferred from isoenzyme data

Cited by 12 publications

References 17 publications

Chemical Composition, Cytotoxic and Antibacterial Activities of Essential Oils of Cultivated Clones of Juniperus communis and Wild Juniperus Species

Chemical Composition, Cytotoxic and Antibacterial Activities of Essential Oils of Cultivated Clones of Juniperus communis and Wild Juniperus Species

Genetic diversity of Lithuanian populations of Juniperus communis L. in relation to abiotic and biotic factors

The dimensions of species diversity

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