Exploratory analysis of agro-morphological characteristics in Nigella sativa L. plant genotypes to determine mutagen colchicine ameliorative/ non-ameliorative impacts.
Nigella sativa
Chromosome count
Colchicine
Polyploids
Ranunculaceae
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
18 Oct 2024
18 Oct 2024
Historique:
received:
08
05
2024
accepted:
08
10
2024
medline:
19
10
2024
pubmed:
19
10
2024
entrez:
18
10
2024
Statut:
epublish
Résumé
This experimental study aimed to elucidate the optimal colchicine concentration for inducing polyploidy and to examine the morphological effects on Nigella sativa L. (family Ranunculaceae) plants recognized as 'Kalonji' in India. Here, seeds were exposed with different concentration of colchicine ranging from 0.025 to 0.4% with varying time duration (24-48 h). The agro-morphological attributes and chromosome counts of the putative polyploids were compared with control diploid plants, revealing significant differences. The ploidy level determined by chromosome counts revealed that 0.05-0.1% concentration of colchicine induced tetraploids within both plant genotypes for 24 h and 48 h. However, results based on agro-morphological trait correlation analysis revealed more significant association among yield traits at 0.1% concentration and the principal component analysis revealed that the maximum possible ameliorative effect of the colchicine dose was the lowest concentration (0.025% for a 48-hour exposure time) for the AN1 genotype; likewise, a 0.05% concentration established a more positive association in terms of growth and yield attributes for the AN20 genotype. This study demonstrated that low dosages (0.025% and 0.1%) strongly impact plant growth and yield, whereas higher dosages obliterate these positive effects and add destructive characteristics within plants which ultimately reduces yield.
Identifiants
pubmed: 39424969
doi: 10.1038/s41598-024-75755-w
pii: 10.1038/s41598-024-75755-w
doi:
Substances chimiques
Colchicine
SML2Y3J35T
Mutagens
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
24521Informations de copyright
© 2024. The Author(s).
Références
Majeed, A. et al. Nigella sativa L.: Uses in traditional and contemporary medicines – An overview. Acta Ecol. Sin. 41, 253–258 (2021).
doi: 10.1016/j.chnaes.2020.02.001
Thakur, S., Kaurav, H. & Chaudhary, G. Nigella sativa (Kaloajblack seedk Semiracleiracle). Int. J. Res. Rev. 8, 342–357 (2021).
doi: 10.52403/ijrr.20210441
Huchchannanavar, S., Yogesh, L. N. & Prashant, S. M. The black seed Nigella sativa: A wonder seed. Int. J. Chem. Stud. 73, 1320–1324 (2019).
Hannan, M. A. et al. Black cumin (Nigella sativa L.): A comprehensive review on phytochemistry, health benefits, molecular pharmacology, and safety. Nutrients. 13, 1784 (2021).
pubmed: 34073784
pmcid: 8225153
doi: 10.3390/nu13061784
Ahmad, A. et al. A review on therapeutic potential of Nigella sativa: A miracle herb. Asian Pac. J. Trop. Biomed. 3, 337–352 (2013).
pubmed: 23646296
pmcid: 3642442
doi: 10.1016/S2221-1691(13)60075-1
Charles, D. J. Nigella. In Antioxidant Properties of Spices, Herbs and Other Sources. 415–426 (Springer, 2012). https://doi.org/10.1007/978-1-4614-4310-0_40
Ahmad, M. F. et al. An updated knowledge of black seed (Nigella sativa Linn.): Review of phytochemical constituents and pharmacological properties. J. Herb. Med. 25, 100404 (2021).
pubmed: 32983848
doi: 10.1016/j.hermed.2020.100404
Ali, B. H. & Blunden, G. Pharmacological and toxicological properties of Nigella sativa. Phytother. Res. 17, 299–305 (2003).
pubmed: 12722128
doi: 10.1002/ptr.1309
Mahmoud, H. S. et al. The effect of dietary supplementation with Nigella sativa (black seeds) mediates immunological function in male Wistar rats. Sci. Rep. 11, 7542 (2021).
pubmed: 33824353
pmcid: 8024296
doi: 10.1038/s41598-021-86721-1
Albakry, Z. et al. Nutritional composition and volatile compounds of black cumin (Nigella sativa L.) seed, fatty acid composition and tocopherols, polyphenols, and antioxidant activity of its essential oil. Horticulturae. 8, 575 (2022).
doi: 10.3390/horticulturae8070575
Burdock, G. A. Assessment of black cumin (Nigella sativa L.) as a food ingredient and putative therapeutic agent. Regul. Toxicol. Pharmacol. 128, 105088 (2022).
pubmed: 34838871
doi: 10.1016/j.yrtph.2021.105088
Yadav, P., Jaiswal, D. K. & Sinha, R. K. Climate change. In Global Climate Change. 151–174 (Elsevier, 2021). https://doi.org/10.1016/B978-0-12-822928-6.00010-1 .
Spice Board India. Spice Board, Ministry of Commerce and Industry, Government of India (2015).
Gidwani, B., Bhattacharya, R., Shukla, S. S. & Pandey, R. K. Indian spices: Past, present and future challenges as the engine for bio-enhancement of drugs: Impact of COVID‐19. J. Sci. Food Agric. 102, 3065–3077 (2022).
pubmed: 35043421
pmcid: 9015280
doi: 10.1002/jsfa.11771
Babu, K. N. et al. Plant biotechnology-its role in improvement of spices. Indian J. Agric. Sci. 68, 8 (1998).
Chaikam, V. et al. Improving the efficiency of colchicine-based chromosomal doubling of Maize haploids. Plants. 9, 459 (2020).
pubmed: 32260557
pmcid: 7238423
doi: 10.3390/plants9040459
Khan, M. N. E. A. et al. Morphological and anatomical characterization of colchicine-induced polyploids in watermelon. Hortic. Environ. Biotechnol. 64, 461–474 (2023).
doi: 10.1007/s13580-022-00488-6
Jeloudar, N. I., Chamani, E., Shokouhian, A. & Zakaria, R. A. Induction and identification of polyploidy by colchicine treatment in Lilium regale. Cytologia. 84, 271–276 (2019).
doi: 10.1508/cytologia.84.271
Sapra, S. et al. Colchicine and its various physicochemical and biological aspects. Med. Chem. Res. 22, 531–547 (2013).
doi: 10.1007/s00044-012-0077-z
Bhuvaneswari, G., Thirugnanasampandan, R. & Gogulramnath, M. Effect of colchicine induced tetraploidy on morphology, cytology, essential oil composition, gene expression and antioxidant activity of Citrus limon (L.) Osbeck. Physiol. Mol. Biol. Plants. 26, 271–279 (2020).
pubmed: 32158134
doi: 10.1007/s12298-019-00718-9
Gupta, G. et al. Colchicine induced mutation in Nigella sativa plant for the assessment of morpho-physiological and biochemical parameter vis-a-vis in vitro anti-inflammatory activity. TOBIOTJ 15, 173–182 (2021).
Gupta, G. et al. Colchicine induced mutation in Nigella sativa plant for the assessment of morpho-physiological and biochemical parameter vis-a-vis in vitro anti-inflammatory activity. TOBIOTJ 15, 173–182 (2021).
Nirmal Babu, K. et al. Biotechnological approaches in improvement of spices: A review. In Plant Biology and Biotechnology (eds Bahadur, B., Rajam, V., Sahijram, M. & Krishnamurthy, K. V.) L. 487–516 (Springer India, 2015). https://doi.org/10.1007/978-81-322-2283-5_25 .
doi: 10.1007/978-81-322-2283-5_25
Gebremedin, B. D., Asfaw, B. T., Mengesha, W. A. & Abebe, K. A. Genetic diversity of Ethiopian black cumin (Nigella sativa L.) based on morpho-agronomic characteristics. Euphytica. 220, 51 (2024).
doi: 10.1007/s10681-024-03315-4
Cabahug, R. A. M., Ha, M. K. T. T., Lim, K. B. & Hwang, Y. J. LD50 determination and phenotypic evaluation of three Echeveria varieties induced by chemical mutagens. Toxicol. Environ. Health Sci. 12, 1–9 (2020).
doi: 10.1007/s13530-020-00049-3
Nasirvand, S., Zakaria, R. A., Zare, N. & Esmaeilpoor, B. Polyploidy induction in parsley (Petroselinum crispum L.) by colchicine treatment. Cytologia. 83, 393–396 (2018).
doi: 10.1508/cytologia.83.393
IBM Corp. Released 2011. IBM SPSS Statistics for Windows, Version 20.0. (IBM Corp, 2011).
RStudio Team & RStudio RStudio: Integrated Development for R (PBC, 2020).
Origin (ed) (Pro), Version 2023b (2023) (OriginLab Corporation, 2023).
Mehri, N., Mohebodini, M., Behnamian, M., Farmanpour-Kalalagh, K. & Phylogenetic Genetic diversity, and Population Structure Analysis of Iranian Black Cumin (Nigella sativa L.) Genotypes using ISSR molecular markers. Int. J. Hortic. Sci. Technol. 9 (2022).
Rabbani, M. A., Ghafoor, A. & Masood, M. S. NARC-kalonji: An early maturing and high yielding variety of Nigella sativa released for cultivation in Pakistan. Pak J. Bot. 43, 191–195 (2011).
Telci, İ. et al. Diversity of black cumin genotypes and their classification based on functional properties. Biochem. Syst. Ecol. 113, 104802 (2024).
doi: 10.1016/j.bse.2024.104802
Dessie, A. B., Abate, T. M., Adane, B. T., Tesfa, T. & Getu, S. Estimation of technical efficiency of black cumin (Nigella sativa L.) farming in northwest Ethiopia: A stochastic frontier approach. Econ. Struct. 9, 18 (2020).
doi: 10.1186/s40008-020-00198-1
Valadabadi, S. A. & Farahani, H. A. Investigation of biofertilizers influence on quantity and quality characteristics in Nigella sativa L. J. Hortic. For. 3 (3), 88–92 (2011).
Verma, P., Solanki, R. K., Dashora, A. & Kakani, R. K. Genetic variability and correlation analysis in Nigella (Nigella sativum L.) assessed in South Eastern Rajasthan, India. Int. J. Curr. Microbiol. Appl. Sci. 8, 1858–1864 (2019).
doi: 10.20546/ijcmas.2019.803.220
Jacobo-Velázquez, D. A. & Cisneros‐Zevallos, L. Correlations of antioxidant activity against phenolic content revisited: A new approach in data analysis for food and medicinal plants. J. Food Sci. 74 (2009).
Ansarifar, J., Wang, L. & Archontoulis, S. V. An interaction regression model for crop yield prediction. Sci. Rep. 11, 17754 (2021).
pubmed: 34493778
pmcid: 8423743
doi: 10.1038/s41598-021-97221-7
Lee, C. J. et al. The correlation between skin-care effects and phytochemical contents in Lamiaceae plants. Food Chem. 124, 833–841 (2011).
doi: 10.1016/j.foodchem.2010.07.003
Nasr, M. & Zahran, H. F. Performance evaluation of agricultural drainage water using modeling and statistical approaches. Egypt J. Aquat. Res. 42, 141–148 (2016).
doi: 10.1016/j.ejar.2016.04.006
Farag, M. A., El-Kersh, D. M., Rasheed, D. M. & Heiss, A. G. Volatiles distribution in Nigella species (black cumin seeds) and in response to roasting as analyzed via solid-phase microextraction (SPME) coupled to chemometrics. Ind. Crops Prod. 108, 564–571 (2017).
doi: 10.1016/j.indcrop.2017.07.011
Tian, Y., Yao, H. & Li, Z. Plant-wide process monitoring by using weighted copula–correlation based multiblock principal component analysis approach and online-horizon Bayesian method. ISA Trans. 96, 24–36 (2020).
pubmed: 31350045
doi: 10.1016/j.isatra.2019.06.002
Miyagi, A. et al. Principal component and hierarchical clustering analysis of metabolites in destructive weeds; Polygonaceous plants. Metabolomics. 6, 146–155 (2010).
doi: 10.1007/s11306-009-0186-y
Füzy, A. et al. Selection of plant physiological parameters to detect stress effects in pot experiments using principal component analysis. Acta Physiol. Plant. 41, 56 (2019).
doi: 10.1007/s11738-019-2842-9
Singh, S. P. et al. Assessment of genetic diversity in Nigella (Nigella sativa L.) collections using principle component analysis. CJAST 1–11 (2019). https://doi.org/10.9734/cjast/2019/v36i330234
Herbs, spices and essential oils. Post-Harvest Operations in Developing Countries. (United Nations Industrial Development Organization (UNIDO), Food and Agriculture Organization of the United Nations (FAO), 2022).
Verma, S., Hariwal, M., Patel, P., Shah, P. & Kumar, S. Studies on variability of some morphological traits in Nigella sativa L. varieties AN1 and AN20. Preprint. https://doi.org/10.21203/rs.3.rs-3747101/v1 (2023)
Kant, K., Anwer, M. M., Meena, S. R. & Mehta, R. S. Advance production technology of Nigella. ICAR-National Research Centre on Seed Spices Tabiji Ajmer- Rajasthan, 2009).
Guntukula, R. Assessing the impact of climate change on Indian agriculture: Evidence from major crop yields. J. Public. Affairs. 20, e2040 (2020).
doi: 10.1002/pa.2040
Głowacka, K., Jeżowski, S. & Kaczmarek, Z. In vitro induction of polyploidy by colchicine treatment of shoots and preliminary characterisation of induced polyploids in two Miscanthus species. Ind. Crops Prod. 32, 88–96 (2010).
doi: 10.1016/j.indcrop.2010.03.009
Asefa, G., Beriso, M., Asefa, G. & Beriso, M. Evaluation of black cumin genotypes for yield and yield related parameters in bale mid altitude, southeastern Ethiopia. https://doi.org/10.22004/AG.ECON.309448 (2020).
Ślusarkiewicz-Jarzina, A., Pudelska, H., Woźna, J. & Pniewski, T. Improved production of doubled haploids of winter and spring triticale hybrids via combination of colchicine treatments on anthers and regenerated plants. J. Appl. Genet. 58, 287–295 (2017).
pubmed: 28063128
pmcid: 5509786
doi: 10.1007/s13353-016-0387-9
Lepcha, P. et al. Elevation determines the productivity of large cardamom (Amomum Subulatum Roxb.) cultivars in Sikkim Himalaya. Sci. Rep. 13, 21673 (2023).
pubmed: 38066028
pmcid: 10709556
doi: 10.1038/s41598-023-47847-6
Sabzehzari, M., Hoveidamanesh, S., Modarresi, M. & Mohammadi, V. Morphological, anatomical, physiological, and cytological studies in diploid and tetraploid plants of ispaghul (Plantago ovata Forsk). Genet. Resour. Crop Evol. 67, 129–137 (2020).
doi: 10.1007/s10722-019-00846-x
Uhlarik, A. et al. Phenotypic and genotypic characterization and correlation analysis of pea (Pisum sativum L.) diversity panel. Plants. 11, 1321 (2022).
pubmed: 35631746
pmcid: 9146737
doi: 10.3390/plants11101321
Sinha, R. et al. Low soil moisture predisposes field-grown chickpea plants to dry root rot disease: Evidence from simulation modeling and correlation analysis. Sci. Rep. 11, 6568 (2021).
pubmed: 33753791
pmcid: 7985499
doi: 10.1038/s41598-021-85928-6
Liu, Y. et al. Assessment of drought tolerance of 49 switchgrass (Panicum virgatum) genotypes using physiological and morphological parameters. Biotechnol. Biofuels. 8, 152 (2015).
pubmed: 26396590
pmcid: 4578271
doi: 10.1186/s13068-015-0342-8
Uddin, M. N. et al. Mapping of climate vulnerability of the coastal region of Bangladesh using principal component analysis. Appl. Geogr. 102, 47–57 (2019).
doi: 10.1016/j.apgeog.2018.12.011
Ibrahim, S. I., Naawe, E. K. & Çaliskan, M. E. Morpho-physiological evaluation of potato genotypes reveals differential responses to drought stress under field conditions. Am. J. Potato Res. 100, 382–398 (2023).
doi: 10.1007/s12230-023-09925-3
Liu, Z. Y. et al. Hyperspectral discrimination of foliar biotic damages in rice using principal component analysis and probabilistic neural network. Precis. Agric. 19, 973–991 (2018).
doi: 10.1007/s11119-018-9567-4
Ullah, I., Mehboob-ur-Rahman, Ashraf, M. & Zafar, Y. Genotypic variation for drought tolerance in cotton (Gossypium hirsutum L.): Leaf gas exchange and productivity. Flora - Morphol. Distrib. Funct. Ecol. Plants. 203, 105–115 (2008).
doi: 10.1016/j.flora.2007.12.001
Ullah, A. et al. Genetic basis and principal component analysis in cotton (Gossypium hirsutum L.) grown under water deficit condition. Front. Plant. Sci. 13, 981369 (2022).
pubmed: 36275586
pmcid: 9583382
doi: 10.3389/fpls.2022.981369
Sivakumar, J., Prashanth, J. E. P., Rajesh, N., Reddy, S. M. & Pinjari, O. B. Principal component analysis approach for comprehensive screening of salt stress-tolerant tomato germplasm at the seedling stage. J. Biosci. 45, 141 (2020).
pubmed: 33361632
doi: 10.1007/s12038-020-00111-9
Sivakumar, J. et al. Principal component analysis-assisted screening and selection of salt-tolerant tomato genotypes. Plant. Physiol. Rep. 28, 272–288 (2023).
doi: 10.1007/s40502-023-00726-8
Kumar, V., Sharma, A., Bhardwaj, R. & Thukral, A. K. Elemental composition of plants and multivariate analysis. Natl. Acad. Sci. Lett. 42, 45–50 (2019).
doi: 10.1007/s40009-018-0715-1