Assessment of Molecular Diversity and Phylogenetic Analysis Among Chilli Genotypes Using Start Codon Targeted (SCoT) Markers
Genetic Diversity in Chilli via SCoT Markers
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Keywords:
Polymorphism , diversity , PCoA, Chilli, SCoT markersAbstract
Assessment of genetic diversity is pivotal to identify genotypes for the crop improvement programme in chilli. Therefore, the present
study was carried out to identify and characterise genetic variation among 45 chilli genotypes using Start Codon Targeted
Polymorphism (SCoT) markers. Out of 18 primers, ten markers revealed significant polymorphism among the chilli accessions studied,
with amplification ranging from 280 bp to 2.0 kb. A total of 81 alleles were obtained, ranging from 5 to 10 alleles, with an average of 8.1
alleles per primer. Out of 81 alleles, sixty-two (76.54%) were found polymorphic in nature. The genetic similarity among the analysed
genotypes ranged from 24.2 to 100%. The UPGMA dendrogram was constructed to establish the genetic relationship among the chilli
genotypes using Jaccard's coefficient. Cluster analyses grouped 45 genotypes into two major groups, which was also supported by
principal coordinate analysis (PCoA). Analysis of molecular variance (AMOVA) showed a significant estimated value at a degree of 999
permutations. The percentage of variability was higher among populations (55%) than within populations (45%). The mean Nei's
gene diversity (h) was 0.2233 and the mean Shannon's Information Index (i) was 0.3470, with the highest of both given by the SCoT-7
marker. The SCoT marker-based distinguishable genetic variation in the chilli genotypes may serve as a potential aid in chilli
improvement programme. It demonstrates the utility of SCoT markers for estimating molecular diversity and genotype identification
in chilli. This study also suggests the potential of SCoT markers in further association studies in chilli.
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References
Abhinaya M, K Modha, RK Patel and HB Parmar (2016) Genetic diversity analysis for dry fruit yield, its attributes and quality traits in chilli (Capsicum annuum L.). Electron. J. Plant Breed. 7(4): 1200-1207.
Abou-Sreea AIB, CR Azzam, S Al-Taweel, RM Abdel-Aziz, HEE Belal, MM Rady, EF Ali, A Majrashi and KAM Khaled (2021) Natural biostimulant attenuates salinity stress effects in chili pepper by remodelling antioxidant, ion, and phytohormone balances, and augments gene expression. Plants10: 2316.
Altaf MT, MA Nadeem, A Ali, W Liaqat, M Bedir, N Baran, A Ilić, MK Ilyas, A Ghafoor, H Dogan, M Aasim and FS Baloch (2025) Applicability of Start Codon Targeted (SCoT) markers for the assessment of genetic diversity in bread wheat germplasm. Genet. Resour. Crop Evol. 72: 1205-1218. https://doi.org/ 10.1007/s10722-024-02016-0
Bhawna, MZ Abdin, L Arya and M Verma (2017) Use of SCoT markers to assess the gene flow and population structure among two different population of bottle gourd. Plant Genet. 9: 80-86.
Bird KA, H An, E Gazave, MA Gore, JC Pires and LD Robertson (2017) Population structure and phylogenetic relationships in a diverse panel of Brassica rapa L. Front. Plant Sci. 8: 321. doi:10.3389/fpls.2017.00321
Bosland PW and EJ Votava (2012) Peppers: Vegetable and Spice Capsicums, 2nd edn. CABI Publishing. Botstein D, RL White, MH Skalnick and RW Davies (1980) Construction of a genetic linkage map in man using restriction fragment length polymorphism. Am. J. Hum. Genet. 32(3): 314-331.
Collard BCY and DJ Mackill (2009) Start codon targeted (SCoT) polymorphism; a simple, novel DNA marker technique for generating gene-targeted markers in plants. Plant Mol. Biol. Rep. 27(1): 86-93. https://doi.org/10.1007/s11105-008- 0060-5
Dhaliwal MS, A Yadav and SK Jindal (2014) Molecular characterization and diversity analysis in chilli pepper using simple sequence repeats (SSR) markers. Afr. J. Biotechnol.13(31): 3137-3143.
Feng S, Y Zhu, C Yu, K Jiao, M Jiang, J Lu, C Shen, Q Ying and H Wang (2018) Development of species-specific SCAR markers, based on a SCoT analysis, to authenticate Physalis (Solanaceae) species. Front. Genet. 9: 192. doi:10.3389/ fgene.2018.00192
Frankham R, JD Ballou and DA Briscoe (2002) Introduction to Conservation Genetics. Cambridge University Press.
Gorji AM, P Poczai, Z Polgar and J Taller (2011) Efficiency of arbitrarily amplified dominant markers (SCoT, ISSR, and RAPD) for diagnostic fingerprinting in tetraploid potato. Am. J. Potato Res. 88(3): 226-237. https://doi.org/10.1007/ s12230-011-9197-7
Gower JC (1966) Some distance properties of latent root and vector methods used in multivariate analysis. Biometrika 53: 325-388.
Gupta PK, RK Varshney, PC Sharma and B Ramesh (2001) Molecular markers and their applications in wheat breeding. Plant Breed.120(3): 179-204.
Gupta V, PK Jatav, SU Haq, KS Verma, VK Kaul, SL Kothari and S Kachhwaha (2019) Translation initiation codon (ATG) or SCoT markers-based polymorphism study within and across various Capsicum accessions; insight from their amplification, cross-transferability and genetic diversity. J. Genet. 98(2): 61.
Igwe DO, CA Afiukwa, G Acquaah and GN Ude (2019) Genetic diversity and structure of Capsicum annuum as revealed by start codon targeted and directed amplified minisatellite DNA markers. Hereditas 156: 32. https://doi.org/10.1186/ s41065-019-0108-6
Igwe DO, CA Afiukwa, BE Ubi, KI Ogbu, OB Ojuederie and GN Ude (2017) Assessment of genetic diversity in Vigna unguiculata L. (Walp) accessions using inter-simple sequence repeat (ISSR) and start codon targeted (SCoT) polymorphic markers. BMC Genet. 18: 98.
Kulyan R, L Samarina, R Shkhalakhova, A Kuleshov, Y Ukhatova, O Antonova, N Koninskaya, A Matskiv, V Malyarovskaya and A Ryndin (2023) InDel and SCoT markers for genetic diversity analysis in a citrus collection from the western caucasus. Int. J. Mol. Sci.24: 8276. https://doi.org/10.3390/ijms24098276
Liu K and SV Muse (2005) Power Marker: an integrated analysis environment for genetic marker analysis. Bioinform. 21(9): 2128-2129.
Materska M and I Perucka (2005) Antioxidant activity of the main phenolic compounds isolated from hot pepper fruit (Capsicum annuum L.). J. Agric. Food Chem.53(3): 1750-1756.
Murray MG and WF Thompson (1980) Rapid isolation of high molecular weight plant DNA. Nucleic Acids Res. 8(19): 4321- 4325.
Nagy I, A Stagel, Z Sasvari, M Roder and M Ganal (2007) Development, characterization, and transferability to other Solanaceae of microsatellite markers in pepper (Capsicum annuum L.). Genome 50: 668-688.
Olatunji TL and AJ Afolayan (2018) The suitability of chili pepper (Capsicum annuum L.) for alleviating human micronutrient dietary deficiencies: A review. Food Sci. Nutr.6: 2239-2251.
Palma-Orozco G, C Orozco-Alvarez, AA Chavez-Villeda, A Mixtega-Martínez and R Castro-Munoz (2021) Capsaicin content in red habanero chilli (Capsicum chinense Jacq.) and its preservation after drying process. Future Foods 4: 1-11. https://doi.org/10.1016/j.fufo.2021.100070.
Peakall R and PE Smouse (2012) GenAlEx 6.5: Genetic analysis in Excel. Population genetic software for teaching and research-an update. Bioinform.28: 2537-2539.
Pérez-Martínez AL, LE Eguiarte, KL Mercer, NE Martínez Ainsworth, L McHale, E Van der Knaap and L Jardón-Barbolla (2022) Genetic diversity, gene flow, and differentiation among wild, semiwild, and landrace chile pepper (Capsicum annuum) populations in Oaxaca, Mexico. Am. J. Bot. 109: 1157-1176.
Perrier X (2006) DARwin software. http://darwin.cirad. fr/darwin Pickersgill B (2007) Domestication of plants in the Americas: Insights from Mendelian and molecular genetics. Ann. Bot. 100(5): 925-940.
Powell W, M Morgante, C Andre, M Hanafey, J Vogel, S Tingey and A Rafalski (1996) The comparison of RFLP, RAPD, AFLP and SSR (microsatellite) markers for germplasm analysis. Mol. Breed. 2(3): 225-238.
Pritchard JK, M Stephens and P Donnelly (2000) Inference of population structure using multilocus genotype data. Genet. 155: 945-959. https://doi.org/10.1093/genetics/155.2.945
Rahevar PM, JN Patel, S Kumar and DJ Parmar (2021) Morphological characterization of 58 chilli genotypes. Indian J. Plant Genet. Resour. 34(02): 221-228. https://doi.org/ 10.5958/0976-1926.2021.00021.8
Rai MK (2023) Start codon targeted (SCoT) polymorphism marker in plant genome analysis; current status and prospects. Planta257(2): 34. doi: 10.1007/s00425-023-04067-6
Ram H, DK Samadia, AK Verma and PS Gurjar (2024) Surface covering protective vegetable nursery for hot arid climate. Indian Hort.69(1): 26-28.
Reyes-Escogido ML, EG Gonzalez-Mondragon and E Vazquez Tzompantzi (2011) Chemical and pharmacological aspects of capsaicin. Molecules16(2): 1253-1270.
Rohlf FJ (2000) NTSYS-pc: Numerical Taxonomy and Multivariate Analysis System Version 2.1. Exeter Publishing Setauket, New York, USA.
Samadia DK, AK Verma and H Ram (2024) Characterization and utilization of potential genetic resources for improvement of Citrullus lanatus under desert ecosystem. Indian J. Plant Genet. Resour. 37(03): 482-493. https://doi:10.61949/0976- 1926.2024.v37i03.11
Semagn K, A Bjornstad and MN Ndjiondjop (2006) An overview of molecular marker methods for plants. Afr. J. Biotechnol. 5(25): 2540-2568.
Shahlaei A, S Torabi and M Khosroshah (2014) Efficacy of SCoT and ISSR markers in assesment of tomato (LycopersicumesculentumMill.) genetic diversity. Int. J. Biosci.5(2): 14-22.
Shilpha J, S Pandian, MJ Largia, SI Sohn and M Ramesh (2021) Short-term storage of Solanum trilobatum L. synthetic seeds and evaluation of genetic homogeneity using SCoT markers. Plant Biotechnol. Rep.15: 651-661.
Taranto F, N D'Agostino, B Greco, T Cardi and P Tripodi (2016) Genome-wide SNP discovery and population structure analysis in pepper (Capsicum annuum) using genotyping by sequencing. BMC Genom. 17: 943.
Tsaballa A, I Ganopoulos, A Timplalexi, X Aliki, I Bosmali, NO Irini, T Athanasios and P Madesis (2015) Molecular characterization of Greek pepper (Capsicum annuum L.) landraces with neutral (ISSR) and gene-based (SCoT and EST-SSR) molecular markers. Biochem. Systemat. Ecol. 59: 256-263. https://doi.org/ 10.31883/pjfns/133690
Xiong F, R Zhong, Z Han, J Jiang, L He, W Zhuang and R Tang (2011) Start codon targeted polymorphism for evaluation of functional genetic variation and relationships in cultivated peanut (Arachis hypogaea L.) genotypes. Mol. Biol. Rep. 38(5): 3487-3494. https://doi.org/10.1007/s11033-010-0459-6
Yumnam JS, W Tyagi, A Pandey, TM Ngasepam and M Rai (2012) Evaluation of genetic diversity of chilli landraces from Northeastern India based on morphology, SSR markers and the Pun1 locus. Plant Mol. Biol. Rep.30(6): 1470-1479.
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