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Open Access Review

A Review of Plant Bioindicators in Wetlands

Subhomita Ghosh Roy *

Department of Biological Sciences, Northern Kentucky University, Nunn Drive, Highland Heights, KY 41099, USA

Correspondence: Subhomita Ghosh Roy

Academic Editor: Miklas Scholz

Special Issue: Wetland Systems for Water and Air Pollution Control

Received: November 09, 2022 | Accepted: December 13, 2022 | Published: December 16, 2022

Adv Environ Eng Res 2022, Volume 3, Issue 4, doi:10.21926/aeer.2204052

Recommended citation: Ghosh Roy S. A Review of Plant Bioindicators in Wetlands. Adv Environ Eng Res 2022; 3(4): 052; doi:10.21926/aeer.2204052.

© 2022 by the authors. This is an open access article distributed under the conditions of the Creative Commons by Attribution License, which permits unrestricted use, distribution, and reproduction in any medium or format, provided the original work is correctly cited.

Abstract

With the increasing human population, the protection of water resources is becoming a critical issue. Wetlands are one of the most important water resources, helping assimilate pollutants. Hence, the ecosystem integrity of wetlands is important. Plant bioindicators with phytoremediation (physiologically removing pollutants from the ecosystem by plants) capacity can be very helpful in this regard. Based on the current literature, this study specifically aims to overview plant bioindicators with phytoremediation ability. A systemic literature review (SLR) method was used to find a detailed overview of the most relevant research. A total of 70 plants were identified as bioindicators. Out of all the indicator plants, Phragmites australis, Sorghum saccharatum, Lepidium sativum, Sinapis alba, Apium nodiflorum, Arundo donax, Bolboschoenus maritimus, Juncus acutus, Nasturtium officinale, Typha angustifolia and Typha domingensis was identified as the most studied bioindicator plants. The literature review revealed that these plant bioindicators had treatment impacts on metals, nutrients, urban runoffs and wastewater. According to studies, the roots of these plant bioindicators are primarily for absorbing pollutants, which is a specific physiological property of phytoremediation. Hence, the study concluded that for specific waste materials this set of plant bioindicators can be strong contenders for understanding wetland ecosystem integrity and their physiological mechanisms of phytoremediation can provide a blueprint for developing “bioindicators” for wetlands.

Keywords

Bioindicators; phytoremediation; wetlands; pollutants; Phragmites; Sorghum; Sinapis; Lepidium; Apium, Typha

1. Introduction

Protecting water resources is crucially important with the increasing population. Wetlands are one of the chief global water resources working as nature’s kidneys [1]. Wetlands have the ability to absorb pollutants known as their self-purification property [2]. Maintaining the ecosystem integrity of wetlands thus is very important to maintain the quality of aquatic ecosystems overall. Bioindicators (such as - macroinvertebrates, microbes, plankton, plants, etc.) are very helpful for this purpose [3]. Bioindicators identify signals across many temporal and spatial scales and create a consolidated assessment of the environmental impacts of ecosystem stresses [4,5]. As the bioindicator identifies signals of ecosystem stress, they are also affected by the stress [6]. These species are often tolerant to stress factors [6]. Understanding the physiological mechanisms (for example possible uptake of the pollutants by the indicators in their body tissues) of how these stresses (like pollutants) affect the bioindicators, will be insightful as this information can build a blueprint for constructing bioindicators for future use. A good bioindicator should have a measurable response to stress [6]. If the fate of the pollutants or the stress factor in the bioindicator is known, then the quality or the capacity of the bioindicator for the specific pollutant can be understood.

Specific plants can be useful to understand the health of a wetland ecosystem. On the other hand, they are also widely known for reducing pollutants in ecosystems by assimilating those in their tissues by the property of phytoremediation [7]. This Phytoremediation is enabled by specific physiology such as the absorption of pollutants in the plant roots or shoots [7]. Hence, in light of the existing literature review, this study aims to provide an overview of plant bioindicators capable of detecting and consequently alleviating stress (such as metals, nutrients, urban runoffs, wastewater, or water quality parameters indicative of pollution) in wetlands.

2. Materials and Methods

For identifying the relevant literature, a systemic literature review (SLR) method was used. The SLR method has been used in a wide range of studies [8,9,10]. The SLR method in this study analyzed the “Web of Science” database [11]. This Web of Science database comprises several other databases and provides comprehensive literature on the topic of interest. Articles published in Web of Science undergo a well-defined editorial process to maintain the quality and impact factor of the concerned journal [11].

During the article search process, “plant sediment bioindicators” under the “documents” section of the Web of Science database was searched, yielding 121 peer-reviewed articles. The search was done within the “Web of Science Core Collection” and “All” editions. To find more relevant indicators in the wetland ecosystem the search was further narrowed to “plant wetland sediment bioindicators”, which yielded 29 of the most relevant peer-reviewed articles.

Based on these 29 articles, a detailed review of plant wetland bioindicators was created. Some articles were not accepted to incompatibility with the aim of this study. The articles that were selected, were mostly based on plant bioindicators that have been used in wetland ecosystems and have given a clear indication of toxic stresses (such as heavy metals). These peer-reviewed articles were chosen from several geographic locations across the planet to show the effectiveness of the plant bioindicators across a spatial scale. The dates of these articles were purposefully chosen from 1986 to 2022 to review the effectiveness of the plant bioindicators on a temporal scale.

3. Results

With the SLR method, 70 plant species were identified as wetland bioindicators (Table 1). Out of the 70, 11 species - Phragmites australis, Sorghum saccharatum, Lepidium sativum, Sinapis alba, Apium nodiflorum, Arundo donax, Bolboschoenus maritimus, Juncus acutus, Nasturtium officinale, Typha angustifolia and Typha domingensis was identified as the most studied plant bioindicators of the wetland ecosystem (Table 1). Within the articles selected for the study, the species Phragmites australis was detected to be used in seven research articles, followed by Sorghum saccharatum, Lepidium sativ0um, Sinapis alba, Typha domingensis in three. However, two studies enlisted the remaining each of most studied plant bioindicators (Table 1).

Table 1 A summary of bioindicator plants with the types of waste treated in wetlands with reference articles.

The most studied plant bioindicators were then categorized based on trapping pollutants i.e., metals, nutrients, urban runoffs, metals and nutrients, and wastewater (Figure 1 and Table 1). Phragmites australis was observed to successfully trap all these types of pollutants; Sorghum saccharatum, Lepidium sativum, and Sinapis alba were observed to trap metals, nutrients, and wastewater; Typha angustifolia and Bolboschoenus maritimus trapped metals and reduce the water quality parameters indicative of pollution; Typha domingensis trapped metals and nutrients; Juncus acutus was observed to trap metals and wastewater; whereas Apium nodiflorum, Arundo donax, and Nasturtium officinale treated metals only (Figure 1 and Table 1).

Click to view original image

Figure 1 Percent of the types of waste materials treated by the most used bioindicator plants found in the survey. According to EPA 2003, the urban runoff type of waste is composed of nutrients, metals, organic pollutants like oil and grease, and pesticides.

4. Discussion

This study aims to provide a literature overview of plants capable of detecting and consequently reducing ecological stress or pollutants (such as metals, nutrients, urban runoffs, wastewater, or water quality parameters indicative of pollution) in wetlands.

Out of all the 70 plants reviewed, Phragmites australis, Sorghum saccharatum, Lepidium sativum, Sinapis alba, Apium nodiflorum, Arundo donax, Bolboschoenus maritimus, Juncus acutus, Nasturtium officinale, Typha angustifolia and Typha domingensis was observed to be the most studied plant bioindicators. These bioindicators provided a consolidated assessment of the environmental impacts of ecosystem stresses like metals, nutrients, urban runoffs, wastewater, or water quality parameters indicative of pollution [4,5].

Pollutants from human activities reduce biodiversity and deteriorate human health. Even low levels of pollutants can impose risk by accumulating pollutants at higher trophic levels, called as biomagnification [7]. Pollutants like metals (such as As, Cd, Hg, Pb, Ni, Cr) are widely known for bioaccumulation [7,26]. Some metals like Fe, Zn, Cu, Co are micronutrients of plants but can be toxic at higher concentrations as well [27]. There are very specific physiological mechanisms present in plants through which plants can uptake the pollutants inside the body tissues via roots [7]. Plants usually uptake metals (such as: Cd, Hg, Pb, Ni, Cr) by specific channel proteins (transporters) that are located at the plasma membrane of root cells [7]. However, few other plasma membrane transporters (for example - phosphorus-transporters) can contribute to the uptake of non-essential metals like As (as AsO3). On the other hand, organic pollutants (for example herbicides) are absorbed into plant roots by a simple diffusion mechanism [7,28]. Direct chemical (such as organic or inorganic pollutants) uptake via roots depends upon the chemical concentration in the soil and the rate of transpiration of a plant [29]. Plants also have reportedly been observed for uptaking inorganic pollutants such as TN (Total nitrogen), NH+4 (Ammonia nitrogen), and TP (Total Phosphorus) via roots increasing the COD (Chemical Oxygen Demand) [30,31].

The literature review reflected that Phragmites australis was the most common aquatic plant used as a bioindicator with the ability to absorb a wide range of waste materials (metals, nutrients, urban runoffs, metals and nutrients, and wastewater). For example, Phragmites australis physiologically take up metals in the roots with an increase in biomass [32,33,34]. Studies have reported Cr, Cd, Cu, Co, Fe, Pb, Mn, Ni, and Zn accumulation in the roots and translocation of Cd and Pb in the leaves [35,36] of Phragmites australis. The order of metal accumulation among Phragmites australis body parts is highest in roots followed by leaves and stems [37,38,39,40]. Other than metal removal from waste materials, Phragmites australis also has the ability to remove substances including dyes, pesticides, pharmaceuticals products, and illicit drugs [41,42,43]. According to literature, microorganisms in the rhizosphere roots of Phragmites australis can remove organics like phenolic compounds [40,44,45]. Overall, the genus Phragmites is one of the most effective plants in removing pollutants from wetlands [46].

For the other plant bioindicators, the literature review revealed metals to be assimilating in shoots and roots of Aruno donax and Nasturtium officinale indicating their strong phytoremediation potential [47,48]. Although some studies observed Nasturtium officinale to have a threshold for uptake of metals such as Pb, Cd and As [49].

For Typha domingensis, the literature review observed metals are absorbed in the roots and leaves of [21,50]. These studies revealed for nutrients though an increase in the root cross-sectional areas of Typha domingensis [21].

In the literature, Typha augustifolia and Bolboschoenus maritimus was observed to be good bioindicator of pollution physiological properties such as relatively deep water, slightly acid water, and sediments with low EC (electroconductivity) values, poor in SO42- and K2O [20]. Typha augustifolia was also found to be a metal assimilator in roots and leaves [51]. The literature revealed Juncus acutus to be an indicator, physiologically taking up metals in the roots [52,53] and improving overall water quality conditions in wetlands [23]. Studies have found metal being taken up specifically in the roots and other tissues [13,15] of Apium nodiflorum and Bolboschoenus maritimus as well.

Studies showed among Sorghum saccharatum, Lepidium sativum and Sinapis alba, the indicator plant Sorghum Saccharum has the highest amount of plant sensitivity when exposed to pollutants such as metals and nutrients [18,22,54]. These studies observed lower stem growth inhibition (or growth facilitation) when exposed to phosphate, nitrate-nitrite in Sorghum saccharatum, Lepidium sativum and Sinapis alba [18,22]. Significant lower root growth inhibition (or growth facilitation) was seen when exposed to Pb. Implying Pb assimilating in the roots of Sorghum saccharatum, Lepidium sativum and Sinapis alba according to the literature [18,22]. Other studies also observed metals like Cd, Zn, Pb, Cu and Fe up taken in Sinapis alba roots [55].

Hence, in this study, it was clearly observed that the most used plant bioindicators according to the literature review can detect several pollutants like metals, nutrients, urban runoffs, metals and nutrients, and wastewater. Furthermore, the study identified distinct physiological mechanisms of phytoremediation in these plant bioindicators which could be further investigated to understand the fate of the pollutants in plant tissues. The fate of these pollutants could be used to build a blueprint to develop plant bioindicators for wetland ecosystems.

5. Conclusions

This study identified a set of widely used plants (Phragmites australis, Sorghum saccharatum, Lepidium sativum, Sinapis alba, Apium nodiflorum, Arundo donax, Bolboschoenus maritimus, Juncus acutus, Nasturtium officinale, Typha angustifolia, and Typha domingensis) as bioindicators of wetland ecosystem health, based on the literature-survey. These plants absorbed and thus reduce a wide range of pollutants through specific physiological mechanisms of phytoremediation via roots, stems, and leaves. Hence, these plants not only can be bioindicator candidates helping to understand the ecosystem integrity of wetlands, but their physiological mechanisms of phytoremediation can help to construct a future blueprint for constructing bioindicators for wetlands.

Acknowledgments

I thank my colleagues at Biological Science Department, Northern Kentucky University for their support and feedback.

Author Contributions

Subhomita Ghosh Roy performed the conceptualization, research, data collection, data analysis, manuscript draft preparation, writing, reviewing, and manuscript edits.

Competing Interests

The author declares no competing interest.

References

  1. Mitsch WJ, Gosselink JG. Wetlands. 3rd ed. New York: John Wiley & Sons; 2000.
  2. Tixier G, Lafont M, Grapentine L, Rochfort Q, Marsalek J. Ecological risk assessment of urban stormwater ponds: Literature review and proposal of a new conceptual approach providing ecological quality goals and the associated bioassessment tools. Ecol Indic. 2011; 11: 1497-1506. [CrossRef]
  3. Parmar TK, Rawtani D, Agrawal YK. Bioindicators: The natural indicator of environmental pollution. Front Life Sci. 2016; 9: 110-118. [CrossRef]
  4. Kovacs M. Biological indicators of environmental pollution. New York: Ellis Horwood; 1992.
  5. Karr JR, Chu E. Restoring life in running waters. Washington, DC: Island Press; 1999.
  6. Holt EA, Miller SW. Bioindicators: Using organisms to measure environmental impacts. Nat Educ Knowl. 2010; 3: 8.
  7. Greipsson S. Phytoremediation. Nat Educ Knowl. 2011; 3: 7.
  8. Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Med. 2009; 6: e1000097. [CrossRef]
  9. Kitchenham B, Pearl Brereton O, Budgen D, Turner M, Bailey J, Linkman S. Systematic literature reviews in 750 software engineering–A systematic literature review. Inf Softw Technol. 2009; 51: 7-15. [CrossRef]
  10. Gosling J, Naim MM. Engineer-to-order supply chain management. A literature review and research agenda. Int J Prod Econ. 2009; 122: 741-754. [CrossRef]
  11. Web of Science. Trusted publisher-independent citation database [Internet]. Clarivate; 2019. Available from: https://clarivate.com/webofsciencegroup/solutions/web-of-science/.
  12. Phillips DP, Human LP, Adams JB. Wetland plants as indicators of heavy metal contamination. Mar Pollut Bull. 2015; 92: 227-232. [CrossRef]
  13. Bonanno G, Vymazal J, Cirelli GL. Translocation, accumulation and bioindication of trace elements in wetland plants. Sci Total Environ. 2018; 631: 252-261. [CrossRef]
  14. Singh N, Kaur M, Katnoria JK. Analysis on bioaccumulation of metals in aquatic environment of Beas River Basin: A case study from Kanjli wetland. GeoHealth. 2017; 1: 93-105. [CrossRef]
  15. Bonanno G, Borg JA, Di Martino V. Levels of heavy metals in wetland and marine vascular plants and their biomonitoring potential: A comparative assessment. Sci Total Environ. 2017; 576: 796-806. [CrossRef]
  16. Esmaeilzadeh M, Karbassi A, Moattar F. Heavy metals in sediments and their bioaccumulation in Phragmites australis in the Anzali wetland of Iran. Chin J Oceanol Limnol. 2016; 34: 810-820. [CrossRef]
  17. Ladislas S, El-Mufleh A, Gérente C, Chazarenc F, Andrès Y, Béchet B. Potential of aquatic macrophytes as bioindicators of heavy metal pollution in urban stormwater runoff. Water Air Soil Pollut. 2012; 223: 877-888. [CrossRef]
  18. Ghosh Roy S, Wimpee CF, McGuire SA, Ehlinger TJ. Effects of land use and pollution loadings on ecotoxicological assays and bacterial taxonomical diversity in constructed wetlands. Diversity. 2021; 13: 149. [CrossRef]
  19. Lee BH, Scholz M. What is the role of Phragmites australis in experimental constructed wetland filters treating urban runoff? Ecol Eng. 2007; 29: 87-95. [CrossRef]
  20. Jenačković DD, Zlatković ID, Lakušić DV, Ranđelović VN. Macrophytes as bioindicators of the physicochemical characteristics of wetlands in lowland and mountain regions of the central Balkan Peninsula. Aquat Bot. 2016; 134: 1-9. [CrossRef]
  21. Alonso X, Hadad HR, Córdoba C, Polla W, Reyes MS, Fernández V, et al. Macrophytes as potential biomonitors in peri-urban wetlands of the Middle Parana River (Argentina). Environ Sci Pollut Res. 2018; 25: 312-323. [CrossRef]
  22. Ghosh Roy S, Ehlinger T. Relationships between land use, predicted pollution loadings, and ecotoxicological assays in constructed wetlands. Romanian J Ecol Environ Chem. 2020; 2: 118-129. [CrossRef]
  23. Shelef O, Golan-Goldhirsh A, Gendler T, Rachmilevitch S. Physiological parameters of plants as indicators of water quality in a constructed wetland. Environ Sci Pollut Res. 2011; 18: 1234-1242. [CrossRef]
  24. Berberidou C, Kitsiou V, Lambropoulou DA, Antoniadis A, Ntonou E, Zalidis GC, et al. Evaluation of an alternative method for wastewater treatment containing pesticides using solar photocatalytic oxidation and constructed wetlands. J Environ Manage. 2017; 195: 133-139. [CrossRef]
  25. Wathugala AG, Suzuki T. From waste water using sand filtration influent. Water Res. 1987; 21: 1217-1224. [CrossRef]
  26. Chojnacka K, Mikulewicz M. Bioaccumulation. In: Encyclopedia of toxicology. 3rd ed. Oxford: Academic Press; 2014. pp. 456-460. [CrossRef]
  27. Chrysargyris A, Höfte M, Tzortzakis N, Petropoulos SA, Di Gioia F. Editorial: Micronutrients: The borderline between their beneficial role and toxicity in plants. Front Plant Sci. 2022; 13: 840624. [CrossRef]
  28. Del Buono D, Terzano R, Panfili I, Bartucca ML. Phytoremediation and detoxification of xenobiotics in plants: Herbicide-safeners as a tool to improve plant efficiency in the remediation of polluted environments. A mini-review. Int J Phytoremediation. 2020; 22: 789-803. [CrossRef]
  29. Schnoor JL, Licht LA, McCutcheon SC, Wolfe NL, Carreira LH. Phytoremediation of organic and nutrient contaminants. Environ Sci Technol. 1995; 29: 318-323. [CrossRef]
  30. Xiao H, Peng S, Liu X, Jia J, Wang H. Phytoremediation of nutrients and organic carbon from contaminated water by aquatic macrophytes and the physiological response. Environ Technol Innov. 2021; 21: 101295. [CrossRef]
  31. Lu Q, He ZL, Graetz DA, Stoffella PJ, Yang X. Phytoremediation to remove nutrients and improve eutrophic stormwaters using water lettuce (Pistia stratiotes L.). Environ Sci Pollut Res. 2010; 17: 84-96. [CrossRef]
  32. Srivastava J, Kalra SJ, Naraian R. Environmental perspectives of Phragmites australis (Cav.) Trin. Ex. Steudel. Appl Water Sci. 2014; 4: 193-202. [CrossRef]
  33. Burke DJ, Weis JS, Weis P. Release of metals by the leaves of the salt marsh grasses Spartinaal terniflora and Phragmites australis. Estuar Coast Shelf Sci. 2000; 51: 153-159. [CrossRef]
  34. Aksoy A, Demirezen D, Duman F. Bioaccumulation detection and analysis of heavy metal pollution in Sultan Marsh and its environment. Water Air Soil Pollut. 2005; 164: 241-255. [CrossRef]
  35. Rzymski P, Niedzielski P, Klimaszyk P, Poniedziałek B. Bioaccumulation of selected metals in bivalves (Unionidae) and Phragmites australis inhabiting a municipal water reservoir. Environ Monit Assess. 2014; 186: 3199-3212. [CrossRef]
  36. Peltier EE, Webb SM, Gaillard J. Zinc and lead sequestration in an impacted wetland system. Adv Environ Res. 2003; 8: 103-112. [CrossRef]
  37. Bonanno G. Trace element accumulation and distribution in the organs of Phragmites australis (common reed) and biomonitoring applications. Ecotoxicol Environ Saf. 2011; 74: 1057-1064. [CrossRef]
  38. Morari F, DalFerro N, Cocco E. Municipal wastewater treatment with Phragmites australis L. and Typha latifolia L. for irrigation reuse. Boron and heavy metals. Water Air Soil Pollut. 2015; 226: 56. [CrossRef]
  39. Ganjali S, Tayebi L, Atabati H, Mortazavi S. Phragmites australis as a heavy metal bioindicator int he Anzali wetland of Iran. Toxicol Environ Chem. 2014; 96: 1428-1434. [CrossRef]
  40. Milke J, Gałczyńska M, Wróbel J. The importance of biological and ecological properties of Phragmites australis (Cav.) Trin. Ex Steud., in phytoremendiation of aquatic ecosystems—The review. Water. 2020; 12: 1770. [CrossRef]
  41. Dhir B. Removal of pharmaceuticals and personal care products by aquatic plants. In: Pharmaceuticals and personal care products: Waste management and treatment technology. Oxford: Butterworth-Heinemann; 2019. pp. 321-340. [CrossRef]
  42. Cui H, Hense BA, Müller J, Schröder P. Short term uptake and transport process for metformin in roots of Phragmites australis and Typha latifolia. Chemosphere. 2015; 134: 307-312. [CrossRef]
  43. Petrie B, Smith BD, Youdan J, Barden R, Kasprzyk-Hordern B. Multi-residue determination of micropollutants in Phragmites australis from constructed wetlands using microwave assisted extraction and ultra-high-performance liquid chromatography tandem mass spectrometry. Anal Chim Acta. 2017; 959: 91-101. [CrossRef]
  44. Dan A, Zhang N, Qiu R, Li C, Wang S, Ni Z. Accelerated biodegradation of p-tert-butylphenol in the Phragmites australis rhizosphere by phenolic root exudates. Environ Exp Bot. 2020; 169: 103891. [CrossRef]
  45. Toyama T, Furukawa T, Maeda N, Inoue D, Sei K, Mori K, et al. Accelerated biodegradation of pyrene and benzo[a]pyrene in the Phragmites australis rhizosphere by bacteria-root exudate interactions. Water Res. 2011; 45: 1629-1638. [CrossRef]
  46. Said NS, Abdullah SR, Ismail NI, Hasan HA, Othman AR. Phytoremediation of real coffee industry effluent through a continuous two-stage constructed wetland system. Environ Technol Innov. 2020; 17: 100502. [CrossRef]
  47. Dürešová Z, Šuňovská A, Horník M, Pipíška M, Gubišová M, Gubiš J, et al. Rhizofiltration potential of Arundo donax for cadmium and zinc removal from contaminated wastewater. Chem Zvesti. 2014; 68: 1452-1462. [CrossRef]
  48. Duman F, Ozturk F. Nickel accumulation and its effect on biomass, protein content and antioxidative enzymes in roots and leaves of watercress (Nasturtium officinale R. Br.). J Environ Sci. 2010; 22: 526-532. [CrossRef]
  49. Gounden D, Kisten K, Moodley R, Shaik S, Jonnalagadda SB. Impact of spiked concentrations of Cd, Pb, As and Zn in growth medium on elemental uptake of Nasturtium officinale (Watercress). J Environ Sci Health B. 2016; 51: 1-7. [CrossRef]
  50. Mufarrege MD, Di Luca GA, Hadad HR, Maine MA. Exposure of Typha domingensis to high concentrations of multi-metal and nutrient solutions: Study of tolerance and removal efficiency. Ecol Eng. 2021; 159: 106118. [CrossRef]
  51. Panich-Pat T, Pokethitiyook P, Kruatrachue M, Upatham ES, Srinives P, Lanza GR. Removal of lead from contaminated soils by Typha angustifolia. Water Air Soil Pollut. 2004; 155: 159-171. [CrossRef]
  52. Syranidou E, Thijs S, Avramidou M, Weyens N, Venieri D, Pintelon I, et al. Responses of the endophytic bacterial communities of Juncus acutus to pollution with metals, emerging organic pollutants and to bioaugmentation with indigenous strains. Front Plant Sci. 2018; 9: 1526. [CrossRef]
  53. Alam MR, Rahman MM, Tam NF, Yu RM, MacFarlane GR. The accumulation and distribution of arsenic species and selected metals in the saltmarsh halophyte, spiny rush (Juncus acutus). Mar Pollut Bull. 2022; 175: 113373. [CrossRef]
  54. Czerniawska-Kusza I, Ciesielczuk T, Kusza G, Cichoń A. Comparison of the phytotoxkit microbiotest and chemical variables for toxicity evaluation of sediments. Environ Toxicol. 2006; 21: 367-372. [CrossRef]
  55. Fargašová A. Phytotoxic effects of Cd, Zn, Pb, Cu and Fe on Sinapis alba L. seedlings and their accumulation in roots and shoots. Biol Plant. 2001; 44: 471-473. [CrossRef]
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