Assessment of the mutagenic potential of the water of an urban river by means of two Tradescantia-based test systems

Khosrovyan, Alla; Aghajanyan, Evelina; Avalyan, R.E.; Atoyants, Anahit; Sahakyan, Lilit; Gabrielyan, Bardukh; Aroutiounian, Rouben

doi:10.1016/j.mrgentox.2022.503449

Cited by 5 publications

(3 citation statements)

References 26 publications

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“…The identity of the mutagens still needs to be determined as with the Chinese study. Another more recent study on Hrazdan river water in Armenia, which receives effluents from agricultural and industrial enterprises, revealed mutations in stamen hair, indicating the potential mutagenic and clastogenic potential of contaminated water [ 49 ]. This further iterates the water mutagenic etiology from industrial and agricultural activities.…”

Section: Discussionmentioning

confidence: 99%

Cytotoxicity of water supply in a Palestinian refugee camp and a Syrian informal tented settlement in Lebanon

El Kawak,

Al Hassanieh,

Berjawi

et al. 2024

PLoS ONE

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Deficient water, sanitation, and hygiene (WASH) significantly account for a high burden of disease across the globe. Lebanon, an Eastern Mediterranean lower-middle-income country with a polluted environment, a fragmented healthcare system, and an ongoing severe economic crisis, faces serious challenges in sustaining safe water supplies, especially in vulnerable communities, while also hosting the world highest refugee population per capita. This study aimed to examine the mutagenicity, and the estrogenic and androgenic activities of water supplies, across both a Palestinian refugee camp and a Syrian informal settlement. Water samples were collected from two targeted camps in Dbayeh and Choueifat, North and South of the Capital City Beirut, respectively, between the months of September and October 2022. Microbial and physicochemical properties of samples were determined, including fecal contamination, total dissolved solids, and various minerals and salts. Organic pollutants were extracted using pre-packed solid phase extraction (SPE) columns, and then mutagenicity of extracts was examined using the Ames test in two Salmonella typhi bacterial strains. The estrogenic and androgenic activities of extracts were assessed using the yeast estrogen and androgen screen tests assays (YES/YAS). Results show excessive levels of total coliforms and total dissolved solids (TDS) in samples from both sites. In addition, the water supply from the Dbayeh Palestinian refugee camp is mutagenic, while the water supply from the Choueifat Syrian informal settlement shows anti-androgen activity. Our findings provide valuable WASH baseline data in two major vulnerable communities in Lebanon, and highlight the importance of a water toxicity testing approach concomitant with a water safety plan, based on a holistic strategy that covers all stages of the water supply chain.

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Section: Discussionmentioning

confidence: 99%

Cytotoxicity of water supply in a Palestinian refugee camp and a Syrian informal tented settlement in Lebanon

El Kawak,

Al Hassanieh,

Berjawi

et al. 2024

PLoS ONE

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“…An increased frequency of micronuclei (Trad-MCN) was detected in Tradescantia clone 4430 planted on soils contaminated with metals or fly ash from coal-fired power stations (Čėsnienė et al, 2017 ; Meravi and Prajapati, 2018 ), and soil contaminated by diesel also showed influence on stamen hair cells of the plant (Green et al, 1996 ; Goeldner, 2023 ). Khosrovyan et al ( 2022 ) used Tradescantia clone 02 and the Trad-SHM and Trad-MCN bioassays to check the water quality of an urban river that runs through a highly urbanized and industrial area and observed an increase in all the parameters studied, as well as morphological changes such as an increase in pink cells and tetrads with micronuclei compared with the negative control (tap water).…”

Section: Introductionmentioning

confidence: 99%

Tradescantia response to air and soil pollution, stamen hair cells dataset and ANN color classification

Rodrigues,

Goeldner,

Mercuri

et al. 2024

Front. Big Data

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Tradescantia plant is a complex system that is sensible to environmental factors such as water supply, pH, temperature, light, radiation, impurities, and nutrient availability. It can be used as a biomonitor for environmental changes; however, the bioassays are time-consuming and have a strong human interference factor that might change the result depending on who is performing the analysis. We have developed computer vision models to study color variations from Tradescantia clone 4430 plant stamen hair cells, which can be stressed due to air pollution and soil contamination. The study introduces a novel dataset, Trad-204, comprising single-cell images from Tradescantia clone 4430, captured during the Tradescantia stamen-hair mutation bioassay (Trad-SHM). The dataset contain images from two experiments, one focusing on air pollution by particulate matter and another based on soil contaminated by diesel oil. Both experiments were carried out in Curitiba, Brazil, between 2020 and 2023. The images represent single cells with different shapes, sizes, and colors, reflecting the plant's responses to environmental stressors. An automatic classification task was developed to distinguishing between blue and pink cells, and the study explores both a baseline model and three artificial neural network (ANN) architectures, namely, TinyVGG, VGG-16, and ResNet34. Tradescantia revealed sensibility to both air particulate matter concentration and diesel oil in soil. The results indicate that Residual Network architecture outperforms the other models in terms of accuracy on both training and testing sets. The dataset and findings contribute to the understanding of plant cell responses to environmental stress and provide valuable resources for further research in automated image analysis of plant cells. Discussion highlights the impact of turgor pressure on cell shape and the potential implications for plant physiology. The comparison between ANN architectures aligns with previous research, emphasizing the superior performance of ResNet models in image classification tasks. Artificial intelligence identification of pink cells improves the counting accuracy, thus avoiding human errors due to different color perceptions, fatigue, or inattention, in addition to facilitating and speeding up the analysis process. Overall, the study offers insights into plant cell dynamics and provides a foundation for future investigations like cells morphology change. This research corroborates that biomonitoring should be considered as an important tool for political actions, being a relevant issue in risk assessment and the development of new public policies relating to the environment.

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“…Microtox (R) testing detected toxicity in the samples collected during cyanobacteria, dinoflagellate and haptophyte blooms [24]. However, no studies used the Tradescantia test for the evaluation of HABs' potential toxicity, although the Tradescantia-based test systems are known for their high sensitivity to even low concentrations of contaminants and wide applicability for a variety of risk assessment purposes (air, water, soils) [25][26][27][28]. For example, the Trad-SHM and Trad-MN test systems with Tradescantia clone 02 showed toxic effects, even when most of the measured toxicants in a lake were below the WHO standards for drinking water quality [29], suggesting high sensitivity to low contaminant concentrations [25] or high performance in the detection of the potential toxicity of a contaminant mix.…”

Section: Introductionmentioning

confidence: 99%

Tradescantia-Based Test Systems Can Be Used for the Evaluation of the Toxic Potential of Harmful Algal Blooms

Khosrovyan

Avalyan

Atoyants

et al. 2023

Water

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Harmful algal blooms (HABs) are overgrowths of toxic strains of algae (diatoms, green) and cyanobacteria (blue-green algae). While occurring naturally, human-induced environmental changes have resulted in more frequent occurrences of such blooms worldwide. Meantime, the ecotoxicological risk of HABs is rarely evaluated by means of standard test methods. For the first time, the genotoxic potential of the HAB event 2020 was assessed using two different Tradescantia-based test systems (Trad-SHM and Trad-MN, 24-h exposure). An integrated analysis of biological (algal abundance) and ecotoxicological (testing) data revealed linkages among algal proliferation, changes in Tradescantia stamen hairs (mutations and suppressed growth) and chromosomal aberrations during microsporogenesis (appearance of micronuclei) that were likely to be caused by toxic algal groups. Green alga Botryococcus braunii and the cyanobacterial species Anabaena and Oscillatoria could suppress stamen hair growth; Cyanobacteria Phormidium and Aphanothece sp. could trigger mutations in stamen hairs (appearance of pink and colorless cells); and Oscillatoria sp. could be responsible for the occurrence of chromosomal damage. Diatom proliferation in the spring was not related to the genotoxic response in Tradescantia. Both tests, the Trad-SHM and Trad-MN, are suitable for the evaluation of the toxic potential of HABs.

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Assessment of the mutagenic potential of the water of an urban river by means of two Tradescantia-based test systems

Cited by 5 publications

References 26 publications

Cytotoxicity of water supply in a Palestinian refugee camp and a Syrian informal tented settlement in Lebanon

Cytotoxicity of water supply in a Palestinian refugee camp and a Syrian informal tented settlement in Lebanon

Tradescantia response to air and soil pollution, stamen hair cells dataset and ANN color classification

Tradescantia-Based Test Systems Can Be Used for the Evaluation of the Toxic Potential of Harmful Algal Blooms

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