Literature DB >> 29594892

Hormesis and paradoxical effects of pea (Pisum sativum L.) parameters upon exposure to formaldehyde in a wide range of doses.

Elena A Erofeeva1.   

Abstract

Formaldehyde is a widespread pollutant of soil near roads including agricultural lands. Non-monotonic changes (hormesis and paradoxical effects) in chlorophyll (Ch) and carotenoid (Car) contents, the lipid peroxidation (LP) rate in plant leaves and growth parameters (GP) of plants can be caused by various pollutants. Hormesis is a biphasic dose-response phenomenon, characterised by low-dose stimulation and high-dose inhibition. The remaining types of non-monotonic responses are classified as paradoxical effects. While most authors who have studied formaldehyde and plants considered gaseous exposure to shoots, the effect of this pollutant in soil solution has been poorly examined. Thus, we studied the non-monotonic changes in Ch and Car contents, LP rate and GP in pea (Pisum sativum L.) upon exposure to formaldehyde in solution, at a wide range of sublethal concentrations from 0.063 × 10-2 to 0.16 g L-1. With formaldehyde exposure, LP and Ch contents had paradoxical effects (triphasic and multiphase changes, accordingly), while Car level did not change and GP exhibited a hormetic response. The date showed that pea parameters display diverse types of non-monotonic responses upon exposure to the same formaldehyde concentrations. High pollutant concentrations (0.08-0.16 g L-1) increased LP and significantly decreased GP (to 2.3-2.5 times compared to the control), while the Ch content was increased. Lower concentrations (<0.08 g L-1) caused a moderate deviation in all parameters from the control (not more than 62%) for hormesis and paradoxical effects.

Entities:  

Keywords:  Formaldehyde; Growth; Lipid peroxidation rate; Non-monotonic dose-response dependences; Pigment; Pisum sativum

Mesh:

Substances:

Year:  2018        PMID: 29594892     DOI: 10.1007/s10646-018-1928-2

Source DB:  PubMed          Journal:  Ecotoxicology        ISSN: 0963-9292            Impact factor:   2.823


  37 in total

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Journal:  J Environ Sci Health A Tox Hazard Subst Environ Eng       Date:  2002       Impact factor: 2.269

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3.  Ecological processes in a hormetic framework.

Authors:  David Costantini; Neil B Metcalfe; Pat Monaghan
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4.  Investigation of carbonyl compounds in air from various industrial emission sources.

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Journal:  Chemosphere       Date:  2007-08-31       Impact factor: 7.086

5.  The occurrence of hormesis in plants and algae.

Authors:  Nina Cedergreen; Jens C Streibig; Per Kudsk; Solvejg K Mathiassen; Stephen O Duke
Journal:  Dose Response       Date:  2006-10-17       Impact factor: 2.658

Review 6.  Oxidative stress, antioxidants and stress tolerance.

Authors:  Ron Mittler
Journal:  Trends Plant Sci       Date:  2002-09       Impact factor: 18.313

7.  Hormesis and paradoxical effects of wheat seedling (triticum aestivum L.) parameters upon exposure to different pollutants in a wide range of doses.

Authors:  Elena A Erofeeva
Journal:  Dose Response       Date:  2013-07-25       Impact factor: 2.658

8.  Salicylic acid-altering arabidopsis mutants response to NO(2) exposure.

Authors:  Qiang Xu; Bing Zhou; Chunyan Ma; Xin Xu; Jia Xu; Yangao Jiang; Chang Liu; Guangzhe Li; Stephen J Herbert; Lin Hao
Journal:  Bull Environ Contam Toxicol       Date:  2009-11-25       Impact factor: 2.151

9.  Sensitivity of three leguminous crops to O3 as influenced by different stages of growth and development.

Authors:  M S Kasana
Journal:  Environ Pollut       Date:  1991       Impact factor: 8.071

10.  Replicates and repeats.

Authors:  Graham Bell
Journal:  BMC Biol       Date:  2016-04-07       Impact factor: 7.431

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  2 in total

1.  A general model of hormesis in biological systems and its application to pest management.

Authors:  Sanyi Tang; Juhua Liang; Changcheng Xiang; Yanni Xiao; Xia Wang; Jianhong Wu; Guoping Li; Robert A Cheke
Journal:  J R Soc Interface       Date:  2019-08-21       Impact factor: 4.118

Review 2.  Applications of SERS in the Detection of Stress-Related Substances.

Authors:  Shuyuan Du; Chundi Yu; Lin Tang; Lixia Lu
Journal:  Nanomaterials (Basel)       Date:  2018-09-25       Impact factor: 5.076

  2 in total

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