Diversity Assessment by Molecular Barcoding and Seed Morphology in Ricinus communis L. Molecular diversity of Ricinus seeds
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Abstract
Fourteen morphologically varied Ricinus communis L. seeds were collected from different localities in Egypt, El-Sudan and Saudi Arabia. Seed morphology and ITS barcoding analysis were performed to assess their diversity and phylogenetic relationship. Sequence’s alignment of nrITS region from different accessions display high levels of genetic similarities. Cluster analysis could not group different accessions according to their geographical distribution. Nevertheless, the genetic barcodes are interestingly matched with the morphological features of the Ricinus seeds. In conclusion, seed morphology proved to be a valuable tool in evaluating biodiversity and phylogenetic relationship in plant species with different locations having low levels of genetic diversity such as Ricinus. The molecular assessment of morphologically varied Ricinus seeds will help breeders for better utilization of germplasm for the variety development and would support the genetic resources management and conservation of castor beans.
Received 5/4/2020
Accepted 31/1/2021
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Vivodík M, Saadaoui E, Balážová Ž, Gálová Z, Petrovičová L. Genetic diversity in tunisian castor genotypes (Ricinus Communis L.) Detected using rapd markers. Potravin Slovak. J Food Sci. 2019;13(1):294–300.
Hu W, Chen L, Qiu X, Lu H, Wei J, Bai Y, et al. Morphological, physiological and proteomic analyses provide insights into the improvement of castor bean productivity of a dwarf variety in comparing with a high-stalk variety. Front Plant Sci. 2016 Sep 29;7.
Patel VR, Dumancas GG, Viswanath LCK, Maples R, Subong BJJ. Castor oil: Properties, uses, and optimization of processing parameters in commercial production. Vol. 9, Lipid Insights. Libertas Academica Ltd.; 2016.
Sturtevant D, Romsdahl TB, Yu X-H, David ·, Burks J, Azad RK, et al. Tissue-specific differences in metabolites and transcripts contribute to the heterogeneity of ricinoleic acid accumulation in Ricinus communis L. (castor) seeds. Metabolomics. 123AD [cited 2020 Jul 23];15:6. Available from: https://doi.org/10.1007/s11306-018-1464-3
Sánchez, Encinar, Nogales, González. Biodiesel Production from Castor Oil by Two-Step Catalytic Transesterification: Optimization of the Process and Economic Assessment. Catalysts [Internet]. 2019 Oct 17 [cited 2020 Jan 24];9(10):864. Available from: https://www.mdpi.com/2073-4344/9/10/864
Awais M, Musmar SA, Kabir F, Batool I, Rasheed MA, Jamil F, et al. Biodiesel Production from Melia azedarach and Ricinus Communis Oil by Transesterification Process. Catalysts [Internet]. 2020 Apr 14 [cited 2020 Jul 23];10(4):427. Available from: https://www.mdpi.com/2073-4344/10/4/427
Prasanna D, Bhargavi DG. Evaluation of different castor genotypes based on rearing performance of ERI silkworm, Samia cynthia ricini in Telangana State. Int J Entomol Res [Internet]. 2017 [cited 2020 Jan 29];2(4):64–8. Available from: http://www.entomologyjournals.com/archives/2017/vol2/issue4/2-4-21
Chan AP, Crabtree J, Zhao Q, Lorenzi H, Orvis J, Puiu D, et al. Draft genome sequence of the oilseed species Ricinus Communis. Nat Biotechnol. 2010 Sep;28(9):951–6.
Wettasinghe RC, Zabet-Moghaddam M, Ritchie G, Auld DL. Relative quantitation of ricin in Ricinus communis seeds by image processing. Ind Crops Prod. 2013 Oct;50:654–60.
Fan W, Lu J, Pan C, Tan M, Lin Q, Liu W, et al. Sequencing of Chinese castor lines reveals genetic signatures of selection and yield-associated loci. Nat Commun [Internet]. 2019 Dec 1 [cited 2020 Jul 23];10(1):1–11. Available from: https://doi.org/10.1038/s41467-019-11228-3
Fan W, Lu J, Pan C, Tan M, Lin Q, Liu W, et al. Sequencing of Chinese castor lines reveals genetic signatures of selection and yield-associated loci. Nat Commun. 2019 Dec 1;10(1).
Agyenim-Boateng KG, Lu J, Shi Y, Zhang D, Yin X. SRAP analysis of the genetic diversity of wild castor (Ricinus communis L.) in South China. Chiang T-Y, editor. PLoS One [Internet]. 2019 Jul 11 [cited 2020 Jan 29];14(7):e0219667. Available from: http://dx.plos.org/10.1371/journal.pone.0219667
Salihu BZ, Falusi OA, Adepoju AO, Arolu IW, Daudu OY, Abejide DR, et al. Assessment of genetic diversity of promising castor been (Ricinus Communis L.) genotypes in Nigeria. Not Sci Biol. 2019 Sep 30;11(3):467–74.
Fathima NH, Arunkumar N B, Ramesh P, Chandra SA. Genetic diversity using random amplified polymorphic DNA (RAPD) and inter-simple sequence repeats (ISSR) markers in Tinospora cordifolia from the Rayalseema region in Andhra Pradesh. African J Biotechnol. 2019 Mar 6;18(10):231–41.
Xu B, Zeng XM, Gao XF, Jin DP, Zhang LB. ITS non-concerted evolution and rampant hybridization in the legume genus Lespedeza (Fabaceae). Sci Rep. 2017 Jan 4;7.
Calonje M, Martín-Bravo S, Dobeš C, Gong W, Jordon-Thaden I, Kiefer C, et al. Non-coding nuclear DNA markers in phylogenetic reconstruction. Plant Syst Evol [Internet]. 2009;282(3):257–80. Available from: https://doi.org/10.1007/s00606-008-0031-1
Cheng T, Xu C, Lei L, Li C, Zhang Y, Zhou S. Barcoding the kingdom Plantae: New PCR primers for ITS regions of plants with improved universality and specificity. Mol Ecol Resour. 2016 Jan 1;16(1):138–49.
Abramoff MD, Magalhaes PJ, Ram SJ. Image Processing with ImageJo Title. Biophotonics Int [Internet]. 2004;11(7):36–42. Available from:https://imagej.nih.gov/ij/docs/pdfs/Image_Processing_with_ImageJ.pdf
Hammer Ø, Harper DAT, Ryan PD. Past: Paleontological Statistics Software Package for Education and Data Analysis [Internet]. Vol. 4, Palaeontologia Electronica. 2001 [cited 2020 Jul 5]. Available from: http://palaeo-electronica.orghttp//palaeo-electronica.org/2001_1/past/issue1_01.htm.
Harju S, Fedosyuk H, Peterson KR. Rapid isolation of yeast genomic DNA: Bust n’ Grab. BMC Biotechnol. 2004 Apr 21;4.
Kearse M, Moir R, Wilson A, Stones-Havas S, Cheung M, Sturrock S, et al. Geneious Basic: an integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics [Internet]. 2012;28(12):1647–9. Available from: http://www.geneious.com
Daniel IO, Adeboye KA, Oduwaye OO, Porbeni J. Digital Seed Morpho-metric Characterization of Tropical Maize Inbred Lines for Cultivar Discrimination. Int J Plant Breed Genet. 2012 Apr 1;6(4):245–51.
Gómez J, Saadaoui E, Cervantes E. Seed Shape of Castor Bean (Ricinus Communis L.) Grown in Different Regions of Tunisia. J Agric Ecol Res Int. 2016;8(1):1–11.
Jawahar Lal J, Lavanya C. Pattern of Genotypic Diversity in Indigenous Castor (RicinuscommunisL.) Genotypes. Int J Curr Microbiol Appl Sci. 2019 Jan 20;8(01):2465–71.
Penfield S, MacGregor DR. Effects of environmental variation during seed production on seed dormancy and germination. J Exp Bot [Internet]. 2016 Dec 10;68(4):819–25. Available from: https://doi.org/10.1093/jxb/erw436
Bhatt A, Gairola S, El-Keblawy AA. Seed colour affects light and temperature requirements during germination in two Lotus species (Fabaceae) of the Arabian subtropical deserts. Rev Biol Trop. 2016;64(2):483–92.
Peco B, Traba J, Levassor C, Sánchez AM, Azcárate FM. Seed size, shape and persistence in dry Mediterranean grass and scrublands. Seed Sci Res. 2003 Mar;13(1):87–95.
Machado EL, Alves SS, Fernandes S, Santos B H, Machado EL. Genetic variability and homozygosity in a F4 castor bean population by microsatellite markers. Bragantia. 2016 [cited 2020 Jul 23];(3):307–13. Available from: http://dx.doi.org/10.1590/1678-4499.536
Enan M, Al-Deeb M, Fawzy N, Amiri K. DNA Barcoding of (Ricinus Communis) from Different Geographical Origin by Using Chloroplast (matK) and Internal Transcribed Spacers. Am J Plant Sci. 2012;03(09):1304–10.
Manjunath KG, Sannappa B. Identification of castor (Ricinus Communis L.) ecotypes through molecular characterization in the selected regions of the western ghats of Karnataka, India . Int J Bioassays. 2014;3(11):3492–8.