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Article

Effect of Prunus serotina Ehrh. Volatile Compounds on Germination and Seedling Growth of Pinus sylvestris L.

by
Aleksandra Halarewicz
1,*,
Antoni Szumny
2 and
Paulina Bączek
1
1
Department of Botany and Plant Ecology, Wrocław University of Environmental and Life Sciences, pl. Grunwaldzki 24a, 50-363 Wrocław, Poland
2
Department of Chemistry, Wrocław University of Environmental and Life Sciences, C.K. Norwida 25, 50-375 Wrocław, Poland
*
Author to whom correspondence should be addressed.
Forests 2021, 12(7), 846; https://doi.org/10.3390/f12070846
Submission received: 8 May 2021 / Revised: 23 June 2021 / Accepted: 24 June 2021 / Published: 26 June 2021
(This article belongs to the Special Issue Effects of Forest Management and Climate Change on Forest Vegetation)
Browse Figure
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Abstract

:
In temperate European forests invaded by Prunus serotina Ehrh. (black cherry), a reduction in the spontaneous regeneration capacity of Pinus sylvestris L. (Scots pine) is observed. It could be caused by various factors, including allelopathic properties of this invasive plant. In this study the phytotoxic effect of P. serotina volatile compounds on P. sylvestris and the seasonal variation in this effect were assessed. Simple assays showed that volatiles emitted from P. serotina leaves significantly inhibited root growth of P. sylvestris seedlings. Their negative effect on stem growth was much weaker. The strongest phytotoxic effect on Scots pine seedlings was caused by the volatiles emitted from the youngest black cherry leaves. In fresh foliage of P. serotina, nineteen volatile organic compounds were identified by gas chromatography–mass spectrometry (GC–MS). The dominant compound was benzaldehyde. On the basis of tests of linalool alone, it was found that this monoterpene present in the volatile fraction has a strong allelopathic potential and inhibits germination, root elongation and shoot elongation of pine seedlings. The results of our research suggest that volatile compounds from P. serotina leaves could limited survival of P. sylvestris individuals in the seedling phase.

1. Introduction

Due to the wide geographical range and small habitat requirements the Scots pine, Pinus sylvestris L., is one of the most important forest species in Europe and occurs in many different types of forest communities [1]. The natural Scots pine regeneration depends on many factors, starting with the abundance of seeds in the sowing year and choice of soil preparation method after clear-cutting [2]. Seed germination in the first growth phase depends strongly on the depth and variable humidity of the humus layer, until seedling radicles reach more water-stable mineral soil [3,4]. Moreover, allelochemicals released from coexisting plant species affect the germination and development of young seedlings [5]. Further successful pine recruitment depends on the course of competition for resources with shrubs and trees [6] and the presence of natural enemies [7].
The introduction of invasive tree species reduced the extent of natural Scots pine renewal [8,9]. One of the most important invader plants in European forests is black cherry, Prunus serotina Ehrh. This alien species grows in a wide range of habitat conditions, has a high ability of generative reproduction and vegetative sprouting, its numerous seeds are dispersed by birds and mammals and it establishes a long-living shade-tolerant seedling bank [10,11,12].
In forests dominated by P. serotina, alterations of the biotic and abiotic ecosystem properties are observed. The dense shrub of black cherry with its litter layer negatively affects the understory species through mechanical impediment and shading [13,14,15]. In the case of Scots pine, it is assumed that light is the factor that most limits sapling growth [16]. Previous research indicates that P. serotina could also reduce the growth of P. sylvestris seedlings due to the release of phytotoxic compounds during leaf decomposition [17]. Such allelopathic interactions appear to be more intense in soils with low resource availability [18]. At the same time the fast decay of P. serotina leaf litter and humus formation accelerate nutrient circulation [19,20,21,22] and soil microbial activity [23]. Moreover, self-sowing of black cherry results in increased competition with pine saplings in the regeneration layer [9].
It cannot be ruled out that the emergence of new P. sylvestris generations may be also affected by exudates or volatiles released directly from fresh P. serotina leaves, which remain on the plant. Drogoszewski and Barzdajn [24] showed in ex situ experiments that water extracts from fresh black cherry leaves inhibit the germination process of Scots pine. No research studies have examined the influence of P. serotina volatile organic compounds (VOCs) on natural pine regeneration. We performed an experiment, under laboratory conditions, to evaluate the phytotoxic effects of P. serotina volatiles released from fresh leaves on P. sylvestris seeds and seedlings, and the seasonal variation of these effects. We tested the following hypotheses: (1) P. serotina volatiles affect germination and seedling growth of P. sylvestris, (2) radicles and stems of Scots pine seedlings differ in the sensitivity to black cherry volatiles and (3) volatile compound production varies during the growing season.

2. Materials and Methods

2.1. Plant Material

Seeds of P. sylvestris used in bioassays were certified material supplied by Kluczbork Forest Division (SW Poland, national seed lot code PL/4228/6/2014).
The sampling site was located in a stand of two- and three-year natural regeneration of Scots pine with self-sowing black cherry in Wołów Forest Division (SW Poland; 51°20′ N, 16°31′ E and 110 m a.s.l.). Scots pine renewal was obtained on a fresh coniferous habitat located on rusty podzolized soil (Polish soil classification), equivalent to Dystric Brunic Folic Arenosol (Ochric) (FAO WRB classification). These soils are sandy, resulting in low water retention and nutrient availability. The cutting area was characterized by a uniform coastal border, without an old forest stand (clear-cut in 2011 after 80 years of cultivation), with soil prepared with tiller and plough. There has been massive planting of black cherry in Wołów FD since 1950, mainly for soil improvement. Since its introduction, it has spread spontaneously and profusely in all forest habitats.
In the area chosen, five saplings of P. serotina (up to 0.5 m high, with numerous suckers sprouting) were randomly selected and marked. The plant material was collected in April, June and August 2018. In each of these months, six leafy twigs (about 30 cm long, growing in the lowest part of the sapling, with no signs of any damage) were cut from each sapling, secured in separate zip-lock plastic bags and transported in a cooler.

2.2. Germination and Growth Assays

The biological activity of organic volatile compounds was determined for each of five selected saplings of P. serotina, taking into account the three uptake periods. The germination test was conducted in transparent plastic containers (diameter 24 cm, height 13 cm). To begin, ten seeds of P. sylvestris were sown in a Petri dish (9 cm diameter) with a layer of filter paper (0.16 mm thick) and moistened with 5 mL of distilled water. Each Petri dish was deposited in the center of the container. Next, fresh leaves of the black cherry were placed with gloved hands around the Petri dish, taking into account three variants of weight: 10, 20 and 40 g. The leaves were without direct contact with the seeds, but allowing the compounds to volatilize into the airspace within the container. The containers were sealed with plastic film to minimize loss of the volatiles. Three replicates were designed for each combination. Seeds germinating on Petri dishes in containers without leaves were used as a control. The experiment was carried out in a germination room with a daily light/dark cycle, day 16 h = 10 klx, night 8 h, 24 °C/14 °C, 60% relative humidity. After two weeks the germination rate and the seedling growth parameters (length of radicle and stem) were determined. Seeds with minimal root length of 1 mm were considered as germinated seeds.

2.3. Chromatographical Analysis

The composition of volatiles emitted by the black cherry leaves was determined by the solid phase microextraction (SPME) method for sampling volatile organic compounds. The analyses were performed separately for plant material from each sapling at three collection dates. Fresh leaves of P. serotina were cut in pieces about 2 cm long, then 1.5 g of plant material was inserted into a test tube and it was tightly closed with a rubber membrane. The membrane was pierced by the stainless steel SPME (DVB/CAR/PDMS 50/30 µm, 2 cm) needle protecting the fiber (Supelco Co., Bellefonte, PA, USA). The volatile compounds were exposed to fiber for about 30 min at 23 °C. After this period the fiber was retracted into the needle. The chemical composition of the volatile compounds absorbed on the fiber was analyzed using a gas chromatograph (GC) coupled to a mass spectrometer (MS) Saturn 2000 (GC–MS system, Varian, Walnut Creek, CA, USA) with a ZB-5 (Phenomenex, Shim-Pol, Warsaw, Poland) column (30 m × 0.25 mm film × 0.25 μm film thickness), conducting desorption for 5 min. The MS was equipped with an ion-trap analyzer set at 1508 for all analyses with an electron multiplier voltage of 1350 V. Scanning (1 scan/s) was performed in the range of 39–400 m/z using electron impact ionization at 70 eV. The analyses were carried out using helium as a carrier gas at a flow rate of 1.0 mL min−1 in a split ratio of 1:10 and the following program: 40 °C at the beginning and hold 3 min; 5 °C min−1 to 110 °C; 20 °C min−1 to 300 °C. The injector and detector were held at 200 and 300 °C, respectively. Identification of compounds were based on three methods: (i) comparison of obtained spectra with databases NIST 17 (National Institute of Standards and Technology, Gaithersburg, MD, USA) and FFNSC [25], (ii) comparison of calculated retention indices using a retention indices calculator [26] with values presented in NIST 17 and FFNSC and (iii) comparison of retention times of unknown compounds with authentic standards. For comparison of mass spectra we used the AMDIS (v. 2.73) (provided by Phenomenex, Shim-Pol, Warsaw, Poland) and GCMS solution (v. 4.20) (provided by Phenomenex, Shimadzu, Kyoto, Japan) programs.

2.4. Allelopathic Bioassay with Linalool

One selected volatile organic compound was tested separately on germination and seedling growth of P. sylvestris under the same conditions as before for all volatiles from P. serotina leaves. We chose the compound linalool for its potential allelopathic possibilities [27]. Pure linalool (97%) obtained from Sigma-Aldrich (Saint Louis, MO, USA) was dissolved in ethanol. Four different dilutions (5, 10, 25 and 50 µg/mL) were prepared and then a piece of filter paper (2 cm × 1 cm) was impregnated with 1 mL of each solution, kept a few seconds outside to evaporate the solvent and placed in a container next to a Petri dish with pine seeds [28]. Germination rate and the growth parameters of seedlings were obtained as previously described.

2.5. Statistical Analyses

Statistical analysis was conducted using STATISTICA software (v. 13) (TIBCO Software Inc., Palo Alto, CA, USA). The compliance of data with the normal distribution was assessed using the Shapiro–Wilk W test, and the homogeneity of variance was checked by Levene’s test. Significance was evaluated in all cases at p < 0.05. One-way analyses of variance (ANOVA) followed by Tukey’s HSD post hoc tests (for data with normal distribution and homogeneity of variance in the group), or the Kruskal–Wallis tests followed by post hoc tests (for data in which normal distribution or homogeneity of variances was not obtained) were used to determine the differences between the germination capacity, root and stem growth of P. sylvestris seedlings, and the different leaf weight of P. serotina. The tests and analyses were conducted separately for each month. The response of P. sylvestris seeds and seedlings to the VOC from P. serotina leaves—with predetermined weight (10, 20 or 40 g) and depending on leaf collection month—were determined by one-way ANOVAs with Tukey’s HSD tests. The differences between the content of compounds in volatile fraction from P. serotina fresh leaves between the months were assessed using the Kruskal–Wallis tests or ANOVAs with Tukey’s HSD tests. The same tests were also used to determine the effects of linalool concentration on the seed germination and growth parameters of Scots pine seedlings.

3. Results

3.1. Influence of Black Cherry Volatiles on Pine Seed Germination and Seedling Growth

In the germination bioassays, the volatiles from P. serotina fresh leaves did not cause any significant effect on P. sylvestris germination (Table 1). The strongest phytotoxic effect on Scots pine seedlings was caused by volatiles emitted from leaves collected in April compared to the response of seedlings to VOCs from P. serotina leaves collected in June and August (Figure 1). In addition, the growth of seedlings decreased with increasing April leaf biomass of the black cherry. With 40 g of P. serotina leaves, the reduction of root length and stem height of P. sylvestris young plants was 48.3% and 19.5%, respectively, compared to the same growth parameters for the control. Black cherry leaves collected in June showed a weaker but still significant inhibitory effect both on roots (20.4%–25.7%) and on stems (4.1%–9.5%) of Scots pine seedlings. In the case of volatiles emitted from August leaves only, a reduction of seedling root growth was observed (11.1%–12.6%).
The growth response of the root of P. sylvestris seedlings differed significantly depending on the month of P. serotina leaf collection; it was the strongest in the presence of leaves collected in April and the weakest for August leaves (Figure 1). Moreover, root growth inhibition increased with leaf weight from 10 g and 20 g to 40 g. Differences in pine stem growth were found only for the 40 g weight of black cherry leaves. Volatiles from black cherry leaves collected in April caused more negative effect on seedling height than leaves from other collection dates.

3.2. Composition of Volatile Organic Compounds of Black Cherry Leaves

Analyses using GC–MS led to the identification of 19 compounds of the total organic volatile fraction from P. serotina fresh leaves and revealed the presence of aldehydes, alcohols, ketones, terpenoids and ester (Table 2). In the case of seven compounds, seasonal variations in their content in volatile fraction were found. The volatiles were exclusively dominated by benzaldehyde. The content of this compound in the total volatile fraction from leaves collected in April and June was comparable, 99.02% and 99.05%, respectively. In aging foliage of black cherry, a significant decrease in content of benzaldehyde to 97.22% was observed.

3.3. Influence of Linalool on Pine Seed Germination and Seedling Growth

The analyses showed that linalool had a significant inhibitory effect on Scot pine seeds at a concentration of 50 µg/mL, the highest used in our laboratory tests (Table 3). The germination capacity of P. sylvestris decreased by 17% as compared to the value of this parameter for seeds in the control. With the increase of the concentration of linalool (from 10 to 50 µg/mL) seedlings developed shorter roots. A negative effect of linalool on the growth of seedling stems was observed at concentrations of 25 and 50 µg/mL. The roots were the most sensitive to the effects of the tested monoterpene. At a concentration of 50 µg/mL of linalool, the pine root length was shortened to 44% and stem height to 79% in relation to the parameters of seedlings growing under control conditions.

4. Discussion

In the natural environment, plant volatile organic compounds (VOCs) released into the atmosphere are directly absorbed on the plant surface and taken up into the leaf via stomatal openings or cuticle diffusion [30]. They also might be transferred to the soil and undergo processes of adsorption, dissolution and degradation, before being taken up by the plant roots [31]. Many volatile compounds emitted by native and alien species have phytotoxic properties and inhibit the growth of coexisting species in their habitat [32]. The results of our laboratory study confirm that this type of interaction is possible in the case of black cherry and Scots pine. The study of Robakowski and Bielinis [33] indicated that fresh leaves of P. serotina added to the substrate showed a positive allelopathic effect on the growth of one-year-old Quercus petraea seedlings, another tree species that naturally regenerates in pine forests. Orr et al. [34] also demonstrated that allelopathy may be one of the mechanisms underlying the negative impact of invasive tree species on native trees. However, the strongest effect is observed during germination and early seedling growth rather than in the next stages of tree life.
In our study, the presence of P. serotina volatile compounds did not have an inhibitory effect on P. sylvestris germination capacity, but they strongly limited the length of seedling roots and contributed slightly to the inhibition of growth of pine seedling stems compared to the control. For comparison, water extracts from black cherry fresh [24] or decomposed leaves [17] marginally affect the germination process, but they strongly inhibit the radicle elongation of newly germinated Scots pine [17]. The work of other authors also indicates that in the case of allelopathic interactions, germination generally is less sensitive than growth of seedlings [35]. In the case of water solutions with potential allelopathic properties, the radicles of the tested species remain in contact with the filter paper, leading to constant absorption of the solution. This may contribute to the greater sensitivity of the seedling root compared to the shoot [36]. Volatiles released from fresh black cherry leaves could be absorbed at the same time by roots and the shoots, which may explain the simultaneous growth response of both parts of the seedlings to the presence of allelopathic compounds. The most observed effect of most allelochemicals on seedling growth appears to be mediated through a disruption of photosynthesis or respiration [33,37].
Our laboratory study shows that benzaldehyde is the main component of VOCs emitted by fresh black cherry leaves and its content ranged from 99% of the fraction in spring to 97% at the end of summer. Verma and coauthors [38] reported that benzaldehyde and/or its derivatives also predominate in the leaf essential oil compositions of other Prunus species. The lower benzaldehyde emission from senescing leaves demonstrated by the authors mentioned is consistent with the results of our analyses. The allelochemical content may vary during the growing season, which is reflected by seasonal changes in plant phytotoxicity [39]. Benzaldehyde is formed following the enzymatic hydrolysis of prunasin, a cyanogenic glycoside present in Prunus sp., which is a well-known defense compound produced as a chemical defense against herbivores [40,41]. In the intact plant, prunasin is stored separately from hydrolytic enzymes. As a result of tissue disruption it is degraded to benzaldehyde, glucose and hydrogen cyanide (HCN) by the sequential action of the β-glucosidase prunasin hydrolase and mandelonitrile lyase [42]. Additionally, the research of Del Cuoeto [43] indicates that enzymatic hydrolysis of prunasin, with HCN emission, occurs not only in response to damage by external factors, but also as a result of naturally occurring processes controlling flower development.
During the preparation of our experiment, separation of the petioles from black cherry twigs probably triggered the activation of several plant defense mechanisms simultaneously. This is evidenced by the noticeable presence in volatile compound profile of jasmone and green leaf volatiles (GLVs) such as 1-hexenol, 2-hexen-1-ol, 2-hexenal and 3-hexenal, which are emitted only in trace amounts in unstressed plants [44]. In addition, damage to the plant caused prunasin degradation, resulting ultimately in the simultaneous formation of benzaldehyde, present in the composition of VOCs and HCN, was not tested by us. Hydrogen cyanide impedes seed germination and the plant growth rate due to inhibition of respiratory functions in cells [45]. The negative effect of benzaldehyde, manifested in limiting the root growth, was previously observed in Brassica campestris seedlings [46], which was associated with a disturbance in absorption of available nitrogen forms [47].
In the composition of P. serotina volatile organic compounds, we also detected linalool and β-caryophyllene, two compounds with confirmed allelopathic effects that are emitted in low quantities from undamaged leaves [48]. The phytotoxic effect of β-caryophyllene has been observed in relation to seeds and seedlings of cultivated plants such as Brassica rapa L., Raphanus sativus L., Solanum lycopersicum L. [49,50] and Lactuca sativa L. [28]. Due to the confirmed presence of this compound, both in the sesquiterpene fraction from foliage of P. serotina [51] and P. sylvestris needles [52,53], it was not included in our study research. Linalool, one of the major compounds in essential oils of numerous spice plants, is a monoterpene with significant phytotoxicity for several crop species (Lactuca sativa, Allium cepa L., Hordeum spontaneum K. Koch, Secale cereale L.) and weeds (Sinapis arvensis L., Amaranthus retroflexus L., Chenopodium album L., Rumex crispus L.) [27]. Detailed research by Singh et al. [54] showed the possible mechanism of the negative effect of synthetic linalool on germination and growth of Cassia occidentalis (L.) Link seedlings. Treatment with this monoterpene causes a reduction in the chlorophyll content of the cotyledonary leaves and a weakening of the respiratory ability of growing seeds. Our results demonstrated that linalool adversely affects the germination and growth of P. sylvestris seedlings and therefore could account for the observed phytotoxicity imparted by total leaf volatiles from P. serotina leaves. However, it should be noted that allelopathic interactions are not due to the presence of a single compound, but rather several allelochemicals acting synergistically [55].
The methods used in this study were effective in determining the phytotoxicity of the volatiles of black cherry in relation to Scots pine on the basis of a small amount of leaves. However, the research also had some limitations. The concentrations of VOCs from fresh leaves of P. serotina used in the tests were probably much greater than those that are naturally emitted by plants. The VOCs identified included both those that are continuously released by the plants and those whose emission was induced by stress (mechanical damage of leaf blades). It should also be taken into account that allelopathic interactions between species in the same plant community occur simultaneously with the phenomenon of competition and are subject to certain seasonal dynamics, and the phytotoxic effects observed in laboratory conditions may not be relevant in nature [39]. Furthermore, the activity of allelopathic compounds in phytocenoses is modified by the influence of several biotic and abiotic factors [56]. Laboratory allelopathic assays using filter paper do not take into account the presence of soil. Studies that assess the actual role of soil environment in plant VOCs degradation are scarce [31], probably because the vast majority of soil microorganisms cannot be cultured with current cultivation techniques [57]. Meanwhile, soils have the capacity to uptake VOCs and this flow depends on the tree types and soil temperature [58]. Furthermore, VOCs transformations depend on the type of litter and soil, and the communities of soil microorganisms [59]. Trowbridge et al. [58] observed in temperate mixed-forest that the higher VOCs degradation in ectomycorrhizal fungi soil as compared to arbuscular mycorrhizal soil was related to differences in the activity of soil microbial communities. The complex relationships and processes to which VOCs are subject in soil environment are still waiting to be recognized.

5. Conclusions

Our laboratory study revealed that volatile organic compounds emitted from fresh leaves of P. serotina do not affect the germination process, but limit the growth of roots and stems of P. sylvestris seedlings. The growth reaction of the radicles proves their greater sensitivity to phytotoxic compounds compared to the stem. Among the volatile compounds released by the fresh leaves of P. serotina, benzaldehyde predominated. Its content in the volatile fraction of leaves collected in April and June was comparable and significantly higher compared to the material obtained in August. Seasonal variation of volatile phytotoxicity was observed—volatiles emitted from the youngest leaves of the black cherry had the strongest negative impact on Scots pine seedlings. Additional analyses carried out for one selected volatile compound, linalool, showed that it has a strong phytotoxic potential and inhibits both germination and elongation of roots and shoots of pine seedlings. The results of our research suggest that VOCs from P. serotina leaves could limit the survival of P. sylvestris individuals in the seedling phase.

Author Contributions

Conceptualization and methodology, A.H. and A.S.; field data collection, A.H. and P.B.; laboratory analyses, A.S. and P.B.; statistical analyses, P.B.; writing—original draft preparation, A.H.; writing—review and editing, A.H., A.S. and P.B.; supervision and funding acquisition, A.H. All authors have read and agreed to the published version of the manuscript.

Funding

The publication was financed under the Leading Research Groups support project from the subsidy increased for the period 2020–2025 in the amount of 2% of the subsidy referred to in Art. 387 (3) of the Law of 20 July 2018 on Higher Education and Science, obtained in 2019.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Solon, J. Scots pine forests of the Vaccinio-Piceetea class in Europe: Forest sites studied. Pol. J. Ecol. 2003, 51, 421–439. [Google Scholar]
  2. Masternak, K.; Głębocka, K.; Surowaniec, K.; Kowalczyk, K. Growth traits of natural regeneration of Scots pine (Pinus sylvestris L.) in south-eastern Poland. Folia For. Pol. 2020, 62, 220–226. [Google Scholar] [CrossRef]
  3. Oleskog, G.; Sahlén, K. Effects of Seedbed Substrate on Moisture Conditions and Germination of Pinus sylvestris Seeds in a Clearcut. Scand. J. For. Res. 2000, 15, 225–236. [Google Scholar] [CrossRef]
  4. Nilsson, U.; Gemmel, P.; Johansson, U.; Karlsson, M.; Welander, T. Natural regeneration of Norway spruce, Scots pine and birch under Norway spruce shelterwoods of varying densities on a mesic-dry site in southern Sweden. For. Ecol. Manag. 2002, 161, 133–145. [Google Scholar] [CrossRef]
  5. Hille, M.; Ouden, J.D. Charcoal and activated carbon as adsorbate of phytotoxic compounds—A comparative study. Oikos 2005, 108, 202–207. [Google Scholar] [CrossRef]
  6. Vickers, A.; Palmer, S. The influence of canopy cover and other factors upon the regeneration of Scots pine and its associated ground flora within Glen Tanar National Nature Reserve. Forest 2000, 73, 37–49. [Google Scholar] [CrossRef]
  7. Packer, A.; Clay, K. Soil Pathogens and Prunus Serotina Seedling and Sapling Growth Near Conspecific Trees. Ecology 2003, 84, 108–119. [Google Scholar] [CrossRef]
  8. Gentili, R.; Ferrè, C.; Cardarelli, E.; Montagnani, C.; Bogliani, G.; Citterio, S.; Comolli, R. Comparing Negative Impacts of Prunus serotina, Quercus rubra and Robinia pseudoacacia on Native Forest Ecosystems. Forest 2019, 10, 842. [Google Scholar] [CrossRef] [Green Version]
  9. Dyderski, M.K.; Jagodziński, A.M. Impact of Invasive Tree Species on Natural Regeneration Species Composition, Diversity, and Density. Forest 2020, 11, 456. [Google Scholar] [CrossRef] [Green Version]
  10. Starfinger, U. Introduction and naturalization of Prunus serotina in Central Europe. In Plant Invasions: Studies from North America and Europe; Brock, J.H., Wade, M., Pysek, P., Green, D., Eds.; Backhuys Publishers: Leiden, The Netherlands, 1997; pp. 161–171. [Google Scholar]
  11. Pairon, M.; Chabrerie, O.; Casado, C.M.; Jacquemart, A.-L. Sexual regeneration traits linked to black cherry (Prunus serotina Ehrh.) invasiveness. Acta Oecologica 2006, 30, 238–247. [Google Scholar] [CrossRef]
  12. Closset-Kopp, D.; Chabrerie, O.; Valentin, B.; Delachapelle, H.; Decocq, G. When Oskar meets Alice: Does a lack of trade-off in r/K-strategies make Prunus serotina a successful invader of European forests? For. Ecol. Manag. 2007, 247, 120–130. [Google Scholar] [CrossRef]
  13. Starfinger, U.; Kowarik, I.; Rode, M.; Schepker, H. From Desirable Ornamental Plant to Pest to Accepted Addition to the Flora?—the Perception of an Alien Tree Species Through the Centuries. Biol. Invasions 2003, 5, 323–335. [Google Scholar] [CrossRef]
  14. Godefroid, S.; Phartyal, S.; Weyembergh, G.; Koedam, N. Ecological factors controlling the abundance of non-native invasive black cherry (Prunus serotina) in deciduous forest understory in Belgium. For. Ecol. Manag. 2005, 210, 91–105. [Google Scholar] [CrossRef]
  15. Halarewicz, A.; Żołnierz, L. Changes in the understorey of mixed coniferous forest plant communities dominated by the American black cherry (Prunus serotina Ehrh.). For. Ecol. Manag. 2014, 313, 91–97. [Google Scholar] [CrossRef]
  16. Gaudio, N.; Balandier, P.; Perret, S.; Ginisty, C. Growth of understorey Scots pine (Pinus sylvestris L.) saplings in response to light in mixed temperate forest. Forest 2011, 84, 187–195. [Google Scholar] [CrossRef] [Green Version]
  17. Bączek, P.; Halarewicz, A. Effect of Black Cherry (Prunus serotina) Litter Extracts on Germination and Growth of Scots Pine (Pinus sylvestris) Seedlings. Pol. J. Ecol. 2019, 67, 137. [Google Scholar] [CrossRef]
  18. Callaway, R.M. Experimental designs for the study of allelopathy. Plant Soil 2003, 256, 1–11. [Google Scholar] [CrossRef]
  19. Lorenz, K.; Preston, C.M.; Krumrei, S.; Feger, K.-H. Decomposition of needle/leaf litter from Scots pine, black cherry, common oak and European beech at a conurbation forest site. Eur. J. For. Res. 2004, 123, 177–188. [Google Scholar] [CrossRef]
  20. Vanderhoeven, S.; Dassonville, N.; Meerts, P. Increased Topsoil Mineral Nutrient Concentrations Under exotic invasive plants in Belgium. Plant Soil 2005, 275, 169–179. [Google Scholar] [CrossRef] [Green Version]
  21. Koutika, L.-S.; Vanderhoeven, S.; Lardy, L.; Dassonville, N.; Meerts, P. Assessment of changes in soil organic matter after invasion by exotic plant species. Biol. Fertil. Soils 2007, 44, 331–341. [Google Scholar] [CrossRef]
  22. Chabrerie, O.; Verheyen, K.; Saguez, R.; Decocq, G. Disentangling relationships between habitat conditions, disturbance history, plant diversity, and American black cherry (Prunus serotina Ehrh.) invasion in a European temperate forest. Divers. Distrib. 2007, 14, 204–212. [Google Scholar] [CrossRef]
  23. Kourtev, P.; Ehrenfeld, J.; Häggblom, M. Experimental analysis of the effect of exotic and native plant species on the structure and function of soil microbial communities. Soil Biol. Biochem. 2003, 35, 895–905. [Google Scholar] [CrossRef]
  24. Drogoszewski, B.; Barzdajn, W. Effect of aqueous extracts from Prunus serotina (Ehrh.) tissues on seed germination of Pinus sylvestris L. Pol. J. Ecol. 1984, 58, 33–38. [Google Scholar]
  25. Mondello, L. Mass Spectra of Flavors and Fragrances of Natural and Synthetic Compounds, 3rd ed.; Wiley: Hoboken, NJ, USA, 2015. [Google Scholar]
  26. Lucero, M.; Estell, R.; Tellez, M.; Fredrickson, E. A retention index calculator simplifies identification of plant volatile organic compounds. Phytochem. Anal. 2009, 20, 378–384. [Google Scholar] [CrossRef]
  27. Abd-Elgawad, A.M.; El Gendy, A.E.-N.G.; Assaeed, A.M.; Al-Rowaily, S.L.; Alharthi, A.S.; Mohamed, T.A.; Nassar, M.I.; Dewir, Y.H.; ElShamy, A.I. Phytotoxic Effects of Plant Essential Oils: A Systematic Review and Structure-Activity Relationship Based on Chemometric Analyses. Plants 2020, 10, 36. [Google Scholar] [CrossRef] [PubMed]
  28. Santonja, M.; Bousquet-Mélou, A.; Greff, S.; Ormeño, E.; Fernandez, C. Allelopathic effects of volatile organic compounds released from Pinus halepensis needles and roots. Ecol. Evol. 2019, 9, 8201–8213. [Google Scholar] [CrossRef] [Green Version]
  29. Adams, R.P. Identification of Essential Oils by ion Trap Mass Spectroscopy; Academic Press: San Diego, CA, USA, 1989. [Google Scholar]
  30. Baldwin, I.T.; Halitschke, R.; Paschold, A.; Von Dahl, C.C.; Preston, C.A. Volatile Signaling in Plant-Plant Interactions: “Talking Trees” in the Genomics Era. Science 2006, 311, 812–815. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  31. Rinnan, R.; Albers, C.N. Soil Uptake of Volatile Organic Compounds: Ubiquitous and Underestimated? J. Geophys. Res. Biogeosciences 2020, 125, 6. [Google Scholar] [CrossRef]
  32. Verdeguer, M.; Blázquez, M.A.; Boira, H. Phytotoxic effects of Lantana camara, Eucalyptus camaldulensis and Eriocephalus africanus essential oils in weeds of Mediterranean summer crops. Biochem. Syst. Ecol. 2009, 37, 362–369. [Google Scholar] [CrossRef]
  33. Robakowski, P.; Bielinis, E. Competition between sessile oak (Quercus petraea) and black cherry (Padus serotina): Dynamics of seedlings growth. Pol. J. Ecol. 2011, 59, 325–334. [Google Scholar]
  34. Orr, S.P.; Rudgers, J.A.; Clay, K. Invasive Plants Can Inhibit Native Tree Seedlings: Testing Potential Allelopathic Mechanisms. Plant Ecol. 2005, 181, 153–165. [Google Scholar] [CrossRef]
  35. Chon, S.-U.; Nelson, C.J. Allelopathy in Compositae plants. A review. Agron. Sustain. Dev. 2010, 30, 349–358. [Google Scholar] [CrossRef] [Green Version]
  36. Sarkar, E.; Chatterjee, S.N.; Chakraborty, P. Allelopathic effect of Cassia tora on seed germination and growth of mustard. Turk. J. Bot. 2012, 36, 488–494. [Google Scholar] [CrossRef]
  37. Gniazdowska, A.; Bogatek, R. Allelopathic interactions between plants. Multi site action of allelochemicals. Acta Physiol. Plant. 2005, 27, 395–407. [Google Scholar] [CrossRef]
  38. Verma, R.S.; Padalia, R.C.; Singh, V.R.; Goswami, P.; Chauhan, A.; Bhukya, B. Natural benzaldehyde from Prunus persica (L.) Batsch. Int. J. Food Prop. 2017, 20, 1–5. [Google Scholar] [CrossRef]
  39. Silva, E.; Overbeck, G.; Soares, G. Phytotoxicity of volatiles from fresh and dry leaves of two Asteraceae shrubs: Evaluation of seasonal effects. S. Afr. J. Bot. 2014, 93, 14–18. [Google Scholar] [CrossRef] [Green Version]
  40. Agrawal, A.A.; Hastings, A.P.; Johnson, M.T.J.; Maron, J.L.; Salminen, J.-P. Insect Herbivores Drive Real-Time Ecological and Evolutionary Change in Plant Populations. Science 2012, 338, 113–116. [Google Scholar] [CrossRef]
  41. Swain, E.; Poulton, J.E. Immunocytochemical Localization of Prunasin Hydrolase and Mandelonitrile Lyase in Stems and Leaves of Prunus serotina. Plant Physiol. 1994, 106, 1285–1291. [Google Scholar] [CrossRef] [PubMed]
  42. Sánchez-Pérez, R.; Belmonte, F.S.; Borch, J.; Dicenta, F.; Møller, B.L.; Jørgensen, K. Prunasin Hydrolases during Fruit Development in Sweet and Bitter Almonds. Plant Physiol. 2012, 158, 1916–1932. [Google Scholar] [CrossRef] [Green Version]
  43. Del Cueto, J.; Ionescu, I.A.; Pičmanová, M.; Gericke, O.; Motawia, M.S.; Olsen, C.E.; Campoy, J.A.; Dicenta, F.; Møller, B.L.; Sánchez-Pérez, R. Cyanogenic Glucosides and Derivatives in Almond and Sweet Cherry Flower Buds from Dormancy to Flowering. Front. Plant Sci. 2017, 8, 800. [Google Scholar] [CrossRef] [Green Version]
  44. Scala, A.; Allmann, S.; Mirabella, R.; Haring, M.A.; Schuurink, R.C. Green Leaf Volatiles: A Plant’s Multifunctional Weapon against Herbivores and Pathogens. Int. J. Mol. Sci. 2013, 14, 17781–17811. [Google Scholar] [CrossRef] [Green Version]
  45. Gleadow, R.M.; Møller, B.L. Cyanogenic Glycosides: Synthesis, Physiology, and Phenotypic Plasticity. Annu. Rev. Plant Biol. 2014, 65, 155–185. [Google Scholar] [CrossRef] [PubMed]
  46. Choi, G.-H.; Ro, J.-H.; Park, B.-J.; Lee, D.-Y.; Cheong, M.-S.; Lee, D.-Y.; Seo, W.-D.; Kim, J.H.; Choi, J.-H.R.G.-H. Benzaldehyde as a new class plant growth regulator onBrassica campestris. J. Appl. Biol. Chem. 2016, 59, 159–164. [Google Scholar] [CrossRef]
  47. Echeng, F.; Echeng, Z. Research Progress on the use of Plant Allelopathy in Agriculture and the Physiological and Ecological Mechanisms of Allelopathy. Front. Plant Sci. 2015, 6, 1020. [Google Scholar] [CrossRef]
  48. Dehimeche, N.; Buatois, B.; Bertin, N.; Staudt, M. Insights into the Intraspecific Variability of the above and Belowground Emissions of Volatile Organic Compounds in Tomato. Molcules 2021, 26, 237. [Google Scholar] [CrossRef] [PubMed]
  49. Chuihua, K.; Hu, F.; Xu, X. Allelopathic Potential and Chemical Constituents of Volatiles from Ageratum conyzoides Under Stress. J. Chem. Ecol. 2002, 28, 1173–1182. [Google Scholar] [CrossRef]
  50. Wang, R.; Pen, S.; Zeng, R.; Ding, L.W.; Xu, Z.F. Cloning, expression and wounding induction of β-caryophyllene synthase gene from Mikania micrantha HBK and allelopathic potential of β-caryophyllene. Allelopath. J. 2009, 24, 35–44. [Google Scholar]
  51. Bourtsoukidis, E.; Kawaletz, H.; Radacki, D.; Schütz, S.; Hakola, H.; Hellén, H.; Noe, S.; Mölder, I.; Ammer, C.; Bonn, B. Impact of flooding and drought conditions on the emission of volatile organic compounds of Quercus robur and Prunus serotina. Trees 2013, 28, 193–204. [Google Scholar] [CrossRef]
  52. Holzke, C.; Hoffmann, T.; Jaeger, L.; Koppmann, R.; Zimmer, W. Diurnal and seasonal variation of monoterpene and sesquiterpene emissions from Scots pine (Pinus sylvestris L.). Atmos. Environ. 2006, 40, 3174–3185. [Google Scholar] [CrossRef]
  53. Bączek, K.; Kosakowska, O.; Przybył, J.L.; Pióro-Jabrucka, E.; Kuźma, P.; Obiedziński, M.; Węglarz, Z. Intraspecific variability of self-sown Scots pine (Pinus sylvestris L.) occurring in Eastern Poland in respect of essential oil content and composition. Balt. For. 2017, 23, 576–583. [Google Scholar]
  54. Singh, H.P.; Batish, D.R.; Kaur, S.; Ramezani, H.; Kohli, R. Comparative phytotoxicity of four monoterpenes against Cassia occidentalis. Ann. Appl. Biol. 2002, 141, 111–116. [Google Scholar] [CrossRef]
  55. Reigosa, M.J.; Sánchez-Moreiras, A.; González, L. Ecophysiological Approach in Allelopathy. Crit. Rev. Plant Sci. 1999, 18, 577–608. [Google Scholar] [CrossRef]
  56. Inderjit; Wardle, D.; Karban, R.; Callaway, R.M. The ecosystem and evolutionary contexts of allelopathy. Trends Ecol. Evol. 2011, 26, 655–662. [Google Scholar] [CrossRef] [Green Version]
  57. Vartoukian, S.R.; Palmer, R.M.; Wade, W.G. Strategies for culture of ‘unculturable’ bacteria. FEMS Microbiol. Lett. 2010, 309, 1–7. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  58. Trowbridge, A.M.; Stoy, P.C.; Phillips, R.P. Soil Biogenic Volatile Organic Compound Flux in a Mixed Hardwood Forest: Net Uptake at Warmer Temperatures and the Importance of Mycorrhizal Associations. J. Geophys. Res. Biogeosci. 2020, 125, 125. [Google Scholar] [CrossRef] [Green Version]
  59. Tang, J.; Schurgers, G.; Rinnan, R. Process Understanding of Soil BVOC Fluxes in Natural Ecosystems: A Review. Rev. Geophys. 2019, 57, 966–986. [Google Scholar] [CrossRef]
Forests 12 00846 g001 550
Figure 1. Effects of volatiles released by Prunus serotina leaves, collected in three months of the growing season (April, June and August), on root length (A) and stem height (B) of Pinus sylvestris seedlings. Data are mean ± SE. Numbers in bars represent % of control. Significant differences between collected dates for each leaf biomass (marked with letters a, b, c) were estimated by the Tukey HSD test at p ≤ 0.05; n = 15.
Figure 1. Effects of volatiles released by Prunus serotina leaves, collected in three months of the growing season (April, June and August), on root length (A) and stem height (B) of Pinus sylvestris seedlings. Data are mean ± SE. Numbers in bars represent % of control. Significant differences between collected dates for each leaf biomass (marked with letters a, b, c) were estimated by the Tukey HSD test at p ≤ 0.05; n = 15.
Forests 12 00846 g001
Table
Table 1. Effect of volatiles released by Prunus serotina leaves (10, 20 and 40 g), collected in three months of the growing season (April, June and August), on germination and growth parameters of Pinus sylvestris seedlings. Data are mean ± SE. Different letters (a, b, c) following values in rows indicate significant differences for different weight of P. serotina leaves determined in Tukey HSD or Kruskal–Wallis tests, with p ≤ 0.05; n = 15.
Table 1. Effect of volatiles released by Prunus serotina leaves (10, 20 and 40 g), collected in three months of the growing season (April, June and August), on germination and growth parameters of Pinus sylvestris seedlings. Data are mean ± SE. Different letters (a, b, c) following values in rows indicate significant differences for different weight of P. serotina leaves determined in Tukey HSD or Kruskal–Wallis tests, with p ≤ 0.05; n = 15.
ParameterControlApril
10 (g)20 (g)40 (g)
Germination capacity (%)95.3 ± 0.16 a90 ± 0.26 a90.7 ± 0.28 a88 ± 0.22 a
Root length (mm)42.8 ± 0.89 a28.3 ± 0.81 b24.07 ± 1.29 c22.13 ± 1.16 c
Stem height (mm)50.9 ± 0.80 a49.73 ± 0.88 a44.73 ± 1.28 b41 ± 1.49 b
June
10 (g)20 (g)40 (g)
Germination capacity (%)95.3 ± 0.16 a92.7 ± 0.25 a90 ± 0.24 a90 ± 0.24 a
Root length (mm)42.8 ± 0.89 a34.07 ± 0.98 b32.8 ± 0.95 b31.8 ± 1.38 b
Stem height (mm)50.9 ± 0.80 a48.8 ± 0.55 ab46.07 ± 0.97 b47.07 ± 0.86 b
August
10 (g)20 (g)40 (g)
Germination capacity (%)95.3 ± 0.16 a94 ± 0.19 a92 ± 0.24 a91.3 ± 0.16 a
Root length (mm)42.8 ± 0.89 a38.07 ± 1.13 b40.73 ± 1.13 ab37.4 ± 0.9 b
Stem height (mm)50.9 ± 0.80 a49.2 ± 0.54 a48.47 ± 1.01 a47.2 ± 1.4 a
Table
Table 2. Composition of volatile organic compounds (%) identified in fresh Prunus serotina leaves collected in three months of growing season (April, June and August). Data are mean ± SD. KI exp.—retention index calculated according to n-alkanes; KI lit.—retention index obtained from NIST17 and Adams [29] database. Significant differences between months marked in rows by different letters (a, b) were estimated by HSD of the Tukey test or Kruskal–Wallis test, p ≤ 0.05; n = 3.
Table 2. Composition of volatile organic compounds (%) identified in fresh Prunus serotina leaves collected in three months of growing season (April, June and August). Data are mean ± SD. KI exp.—retention index calculated according to n-alkanes; KI lit.—retention index obtained from NIST17 and Adams [29] database. Significant differences between months marked in rows by different letters (a, b) were estimated by HSD of the Tukey test or Kruskal–Wallis test, p ≤ 0.05; n = 3.
CompoundKI exp.KI lit.April (%)June (%)August (%)
2-ethyl furan7057030.0527 ± 0.0488 a0.0180 ± 0.0091 a0.0145 ± 0.0005 a
(E)-2-pentenal7527550.0034 ± 0.0006 a0.0043 ± 0.0006 a0.0040 ± 0.0010 a
(E)-3-hexenal8148110.3277 ± 0.0396 ab0.5290 ± 0.1837 b0.1750 ± 0.0320 a
(E)-2-hexenal8578540.0020 ± 0.0020 a0.0034 ± 0.0032 a0.6600 ± 0.0330 b
1-hexanol8678680.0023 ± 0.0006 a0.0060 ± 0.0056 a0.0155 ± 0.0025 a
(Z)-2-hexen-1-ol8728700.0867 ± 0.0532 a0.0070 ± 0.0043 a0.3345 ± 0.0945 b
(E, E)-2,4-hexadienal9159110.0343 ± 0.0396 a0.0480 ± 0.0745 a0.1665 ± 0.0115 a
benzaldehyde96596299.0227 ± 0.4016 b99.048 ± 0.3233 b97.2275 ± 0.2375 a
2,4-heptadienal101610130.0263 ± 0.0093 b0.0080 ± 0.0026 a0.0405± 0.0065 b
benzyl alcohol103510360.0347 ± 0.0574 a0.0067 ± 0.0015 a0.3003 ± 0.0630 a
linalool109710990.0140 ± 0.0017 a0.0043 ± 0.0038 a0.0150 ± 0.0050 a
n-nonanal110311020.0013 ± 0.0006 a0.0043 ± 0.0049 a0.0660 ± 0.0080 a
phenyl ethyl alcohol110611080.0050 ± 0.0026 a0.0050 ± 0.0010 a0.0955 ± 0.0175 b
(E)-4-decenal119411960.0050 ± 0.0026 a0.0067 ± 0.0046 a0.4650 ± 0.0770 a
estragole119811960.2190 ± 0.3776 a0.0103 ± 0.0066 a0.0000 ± 0.0000 a
α-cyanobenzyl alcohol130513020.0087 ± 0.0057 a0.0073 ± 0.0050 a0.1430 ± 0.0320 b
cis-jasmone139213970.0083 ± 0.0035 a0.0370 ± 0.0225 a0.0125 ± 0.0025 a
(E)-β-caryophyllene141314170.0710 ± 0.0358 a0.0787 ± 0.0772 a0.0240 ± 0.0070 a
nerylacetone143714350.0187 ± 0.0064 a0.1377 ± 0.1220 a0.0050 ± 0.0040 a
Table
Table 3. Effect of linalool used at different concentrations (5, 10, 25 and 50 µg/mL) on germination and growth parameters of Pinus sylvestris seedlings. Data are mean ± SE, numbers in brackets represent % of control. Different letters (a, b, c) following values in rows indicate significant differences for the tested linalool solutions determined in the Tukey HSD test or Kruskal–Wallis test with p ≤ 0.05; n = 15.
Table 3. Effect of linalool used at different concentrations (5, 10, 25 and 50 µg/mL) on germination and growth parameters of Pinus sylvestris seedlings. Data are mean ± SE, numbers in brackets represent % of control. Different letters (a, b, c) following values in rows indicate significant differences for the tested linalool solutions determined in the Tukey HSD test or Kruskal–Wallis test with p ≤ 0.05; n = 15.
ParameterControlLinalool
5 (µg mL−1)10 (µg mL−1)25 (µg mL−1)50 (µg mL−1)
Germination capacity (%)95.3 ± 0.16 a
(100%)		96 ± 0.16 a
(101%)		91.3 ± 0.24 ab
(96%)		89.3 ± 0.27 ab
(94%)		78.7 ± 0.32 b
(83%)
Root length (mm)42.8 ± 0.89 a
(100%)		42.5 ± 1.3 a
(99%)		29.2 ± 1.05 b
(68%)		25.9 ± 1.36 bc
(61%)		18.7 ± 0.51 c
(44%)
Stem height (mm)50.9 ± 0.80 a
(100%)		50.4 ± 0.90 a
(99%)		50.7 ± 0.76 a
(100%)		45.1 ± 1.14 b
(89%)		40.3 ± 1.37 c
(79%)
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Halarewicz, A.; Szumny, A.; Bączek, P. Effect of Prunus serotina Ehrh. Volatile Compounds on Germination and Seedling Growth of Pinus sylvestris L. Forests 2021, 12, 846. https://doi.org/10.3390/f12070846

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Halarewicz A, Szumny A, Bączek P. Effect of Prunus serotina Ehrh. Volatile Compounds on Germination and Seedling Growth of Pinus sylvestris L. Forests. 2021; 12(7):846. https://doi.org/10.3390/f12070846

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Halarewicz, Aleksandra, Antoni Szumny, and Paulina Bączek. 2021. "Effect of Prunus serotina Ehrh. Volatile Compounds on Germination and Seedling Growth of Pinus sylvestris L." Forests 12, no. 7: 846. https://doi.org/10.3390/f12070846

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Halarewicz, A., Szumny, A., & Bączek, P. (2021). Effect of Prunus serotina Ehrh. Volatile Compounds on Germination and Seedling Growth of Pinus sylvestris L. Forests, 12(7), 846. https://doi.org/10.3390/f12070846

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