title: Proline improves copper tolerance in chickpea (Cicer arietinum).
abstract: The present study suggests the involvement of proline in copper tolerance of four genotypes of Cicer arietinum (chickpea). Based on the data of tolerance index and lipid peroxidation, the order for copper tolerance was as follows: RSG 888 > CSG 144 > CSG 104 > RSG 44 in the selected genotypes. The basis of differential copper tolerance in chickpea genotypes was characterized by analyzing, antioxidant enzymes (superoxide dismutase, ascorbated peroxidase and catalase), phytochelatins, copper uptake, and proline accumulation. Chickpea genotypes showed stimulated superoxide dismutase activity at all tested concentrations of copper, but H(2)O(2) decomposing enzymes especially; ascorbate peroxidase did not increase with 25 and 50 microM copper treatments. Catalase activity, however, increased at lower copper concentrations but failed to stimulate at 50 microM copper. Such divergence in responses of these enzymes minimizes their importance in protecting chickpea against copper stress. The sensitive genotypes showed greater enhancement of phytochelatins than that of tolerant genotypes. Hence, the possibility of phytochelatins in improving copper tolerance in the test plant is also excluded. Interestingly, the order of proline accumulation in the chickpea genotypes (RSG 888 > CSG 144 > CSG 104 > RSG 44) was exactly similar to the order of copper tolerance. Based on hyperaccumulation of proline in tolerant genotype (RSG 44) and the reduction and improvement of lipid peroxidation and tolerance index, respectively, by proline pretreatment, we conclude that hyperaccumulation of proline improves the copper tolerance in chickpea.
authors.affiliation: Department of Bioscience and Biotechnology, Banasthali University, Banasthali, 304022, Rajasthan, India.
authors.forename: Vijeta
authors.initials: V
authors.lastname: Singh
authors.forename: Indu
authors.initials: I
authors.lastname: Bhatt
authors.forename: Anjali
authors.initials: A
authors.lastname: Aggarwal
authors.forename: Bhumi Nath
authors.initials: BN
authors.lastname: Tripathi
authors.forename: Ashok Kumar
authors.initials: AK
authors.lastname: Munjal
authors.forename: Vinay
authors.initials: V
authors.lastname: Sharma
mesh_terms: D000975:Antioxidants / Q000378:metabolism; D060387:Ascorbate Peroxidases; D019328:Buthionine Sulfoximine / Q000494:pharmacology; D002374:Catalase / Q000378:metabolism; D002734:Chlorophyll / Q000378:metabolism; D029863:Cicer / Q000187:drug effects* / Q000235:genetics / Q000378:metabolism*; D003300:Copper / Q000494:pharmacology*; D005838:Genotype; D006861:Hydrogen Peroxide / Q000378:metabolism; D015227:Lipid Peroxidation; D016877:Oxidants / Q000378:metabolism; D018384:Oxidative Stress; D010544:Peroxidases / Q000378:metabolism; D010940:Plant Proteins / Q000378:metabolism; D011392:Proline / Q000378:metabolism*; D013482:Superoxide Dismutase / Q000378:metabolism
chemical_list: D000975:Antioxidants; D016877:Oxidants; D010940:Plant Proteins; D002734:Chlorophyll; D019328:Buthionine Sulfoximine; D003300:Copper; D011392:Proline; D006861:Hydrogen Peroxide; D010544:Peroxidases; D060387:Ascorbate Peroxidases; D002374:Catalase; D013482:Superoxide Dismutase