Metal bioaccumulation and mutagenesis in a Tradescantia clone following long-term exposure to soils from urban industrial areas and closed landfills

Čėsnienė, Tatjana; Kleizaitė, Violeta; Bondzinskaitė, Skaistė; Taraškevičius, Ričardas; Žvingila, Donatas; Šiukšta, Raimondas; Rančelis, Vytautas

doi:10.1016/j.mrgentox.2017.09.004

Cited by 14 publications

(3 citation statements)

References 64 publications

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“…Tradescantia demonstrated genotoxicity of ambient air due to ionizing radiations (Ichikawa et al, 1969 ; Ichikawa, 1992 ; Panek et al, 2011 ), Caldwell et al ( 1974 ) performed field and laboratory experiments showing response of Tradescantia plants to elevated intensities of global UV-B radiation. 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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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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“…Body of water pollution can include rivers, lakes and oceans and it could endanger marine plants and animals. Polluted water and soil represent a serious threat to humans since they can cause acute toxicity, mutagenesis, carcinogenesis, and teratogenesis for humans and other organisms [4–6]. Water pollution can contribute to soil pollution and vice versa [7, 8].…”

Section: Introductionmentioning

confidence: 99%

Water and soil pollution as determinant of water and food quality/contamination and its impact on female fertility

Rashtian

Chavkin²,

Merhi

2019

Reprod Biol Endocrinol

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A mounting body of the literature suggests that environmental chemicals found in food and water could affect female reproduction. Many worldwide daily-used products have been shown to contain chemicals that could incur adverse reproductive outcomes in the perinatal/neonatal periods, childhood, adolescence, and even adulthood. The potential impact of Bisphenol A (BPA), Phthalates and Perfluoroalkyl substances (PFAS) on female reproduction, in particular on puberty, PCOS pathogenesis, infertility, ovarian function, endometriosis, and recurrent pregnancy loss, in both humans and animals, will be discussed in this report in order to provide greater clinician and public awareness about the potential consequences of these chemicals. The effects of these substances could interfere with hormone biosynthesis/action and could potentially be transmitted to further generations. Thus proper education about these chemicals can help individuals decide to limit exposure, ultimately alleviating the risk on future generations.

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“…Mesmo apresentando eficiência no controle de pragas, inseticidas neurotóxicos têm sido associados a eventos que resultam em instabilidade genética, incluindo TMX (Morais et al, 2017;Feki et al, 2018), ACP (Çavas et al, 2014; Bagri e Jain, 2018) e IMI (Guo et al, 2018;Iturburu et al, 2018) (Pereira et al, 2014). (Pereira et al, 2014;Crispim et al, 2014;Sposito et al, 2017;Rocha et al, 2018), aquáticos (Campos et al, 2015;Cassanego e Droste, 2017;Aghajanya et al, 2018) e presentes no solo (Lah et al, 2008;Cesniene et al, 2017).…”

Section: Introductionunclassified

Potencial toxicogenético de inseticidas neonicotinóides em diferentes sistemas in vivo.

Morais¹

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Metal bioaccumulation and mutagenesis in a Tradescantia clone following long-term exposure to soils from urban industrial areas and closed landfills

Cited by 14 publications

References 64 publications

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

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

Water and soil pollution as determinant of water and food quality/contamination and its impact on female fertility

Potencial toxicogenético de inseticidas neonicotinóides em diferentes sistemas in vivo.

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