Diversity study of several domesticated rice (local cultivars) cultivated in the middle and south of Iraq using NGS technology
DOI:
https://doi.org/10.21123/bsj.2024.10073Keywords:
chloroplast genome, evolutionary relationships, Oryza AA genome, phylogenetic analysis, rice (Oryza sativa).Abstract
Due to the importance of the rice crop in Iraq, this study was conducted to determine the origin of the major varieties and understand the evolutionary relationships between Iraqi rice varieties and other Asian rice accessions that could be significant in the improvement of this crop. Phylogenomic analysis has been applied to clarify the relationship among rice species. Five varieties of Oryza sativa were obtained from Agricultural Research Department in Iraq, (Amber33, Dijla, Ghadir, Baraka, and Black rice), and the whole genomic DNA was sequenced utilizing Next Generation Sequencing platforms based on DNA nanoball (DNB) technology. Sequences of 26 rice species were obtained from the NCBI Organelle Genome Resources database. Phylogenetic analysis of chloroplast showed that separated into clades according to their region. Iraqi cultivars have been divided into two groups the first one contains Amber33 and japonica NC_001320 while the other clade contains the Dijla, Ghadir, Baraka, and Black rice and indica NC_008155.
Received 29/10/2023
Revised 02/01/2024
Accepted 04/01/2024
Published Online First 20/08/2024
References
Fouad AS, AlSobeai SM. In silico characterization of a cyclin dependent kinase-A (CDKA) and its coding gene in some Oryza species. Baghdad Sci J. 2020; 17(3): 760-771. http://dx.doi.org/10.21123/bsj.2020.17.3.0760
Fouad A S, Hafez R M. Molecular modeling and in silico characterization of a pathogenesis-related protein-10 (PR10) and its coding genes in some Oryza species. Baghdad Sci J. 2019; 16(4 (Suppl.)): 0993-1002. http://dx.doi.org/10.21123/bsj.2019.16.4(Suppl.).0993
Abakah AJS, Al-Mohammad MHS. Response of Yield Components of Some Black Rice Cultivars to Spraying with The Amino Acid Phenylalanin. IOP Conf Ser Earth Environ Sci. 2021. 910(1): 12020. http://doi.org/10.1088/1755-1315/910/1/012020
Civáň P, Craig H, Cox CJ, Brown TA. Three geographically separate domestications of Asian rice. Nat plants. 2015; 1(11): 1–5. http://dx.doi.org/10.1038/nplants.2015.164
Mohamed SJ, Salman OH. An economic Analysis of the Impact of the I Raqi Dinar Exchange Rate On the imported quantities of rice during the period 1990-2020. Iraqi J Agric Sci. 2022; 54(2): 542–52. https://doi.org/10.36103/ijas.v54i2.1730
Armanto ME. Improving rice yield and income of farmers by managing the soil organic carbon in South Sumatra landscape, Indonesia. Iraqi J Agric Sci. 2019; 50(2): 653–61. https://doi.org/10.36103/ijas.v2i50.665
SINGH, Bhupinder Pal, et al. CpGDB: a comprehensive database of chloroplast genomes. Bioinformation, 2020, 16.2: 171 https://doi.org/10.6026/97320630016171
Bogdanova Vera S. Genetic and molecular genetic basis of nuclear-plastid incompatibilities. Plants. 2019; 9(1):23-40 https://doi.org/10.3390/plants9010023
Cubry P, Tranchant-Dubreuil C, Thuillet A-C, Monat C, Ndjiondjop M-N, Labadie K, et al. The rise and fall of African rice cultivation revealed by analysis of 246 new genomes. Curr Biol. 2018; 28(14): 2274–2282. https://doi.org/10.1016/j.cub.2018.05.066
Rhoads A, Au KF. PacBio sequencing and its applications. Genom Proteom Bioinform. 2015; 13(5): 278–289. https://doi.org/10.1016/j.gpb.2015.08.002
Lateef AA, Garuba T, Abdulkareem KA, Olayinka BU, Olahan GS, Adeyemi SB, et al. Molecular Characterization of Potential Crop Pathogens Associated with Weeds as Endophytes in Uniilorin Plantations, Nigeria. Baghdad Sci J. 2022; 19(6): 1201-1211. https://dx.doi.org/10.21123/bsj.2022.5999
Moner AM, Furtado A, Henry RJ. Two divergent chloroplast genome sequence clades captured in the domesticated rice gene pool may have significance for rice production. BMC Plant Biol. 2020; 20(1): 1–9. https://doi.org/10.1186/s12870-020-02689-6
Cheng L, Nam J, Chu S H, Rungnapa P, Min, M H, Cao Y, et al. Signatures of differential selection in chloroplast genome between japonica and indica. Rice. 2019; 12, 1-13. https://doi.org/10.1186/s12284-019-0322-x
Al-Barhawee NIK, Ahmed JMY. Using Sequencing Technique for Diagnostic Different Species of Genus Rhizobium Which Isolated from Legume Plants. Iraqi J Sci. 2022; 63(10): 4213–4224. https://dx.doi.org/10.24996/ijs.2022.63.10.8
Gao L Z, Liu Y L, Zhang D, Li W, Gao J, Liu Y, et al. Evolution of Oryza chloroplast genomes promoted adaptation to diverse ecological habitats. Common Biol. 2019; 2(1): 278-291. https://doi.org/10.1038/s42003-019-0531-2
Jasim BN, Al-Salihy AA, Moner AM. The Partial DNA Sequencing and Phylogenic Analysis of Tomato yellow leaf curl virus Isolated from Iraqi tomato. Iraqi J Biotechnol. 2020; 19(1): 40–55.
Al-Hadeithi ZS, Al-Kazaz AKA, Al-Obaidi BK. Genetic diversity and relationships among Iraqi barley cultivars using RAPD–PCR technique. Iraqi J Agric Sci. 2012; 43:117–124.
Gitzendanner M A, Soltis P S, Wong G K S, Ruhfel BR, Soltis DE. Plastid phylogenomic analysis of green plants: a billion years of evolutionary history. Am J Bot. 2018; 105(3): 291-301. https://doi.org/10.1002/ajb2.1048
Bushnell B, Rood J, Singer E. BBMerge – Accurate paired shotgun read merging via overlap. PLoS One. 2017; 12(10): 1–15. https://doi.org/10.1371/journal.pone.0185056
Saloom RA, Moner AM. Mapping to reference is an efficient approach to achieve sufficient consensus for phylogenomic studies “Oryza chloroplast genome as a case study.” Iraqi J Biotechnol. 2022; 21(2). 439-445
Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2. Nat Methods. 2012; 9(4): 357–359. https://doi.org/10.1038/nmeth.1923
Katoh K, Standley DM. MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability. Mol Biol Evol. 2013 Apr; 30(4): 772–780. https://doi.org/10.1093/molbev/mst010
Huelsenbeck JP, Ronquist F. MRBAYES: Bayesian inference of phylogenetic trees. Bioinform. 2001 Aug; 17(8): 754–5. https://doi.org/10.1093/bioinformatics/17.8.754
Guindon S, Dufayard J-F, Lefort V, Anisimova M, Hordijk W, Gascuel O. New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0. Syst Biol. 2010; 59(3): 307–321. https://doi.org/10.1093/sysbio/syq010
Greiner S, Lehwark P, Bock R. OrganellarGenomeDRAW (OGDRAW) version 1.3. 1: expanded toolkit for the graphical visualization of organellar genomes. Nucleic Acids Res. 2019; 47(W1): W59–64. https://doi.org/10.1093/nar/gkz238
Fujino K, Hirayama Y, Obara M, Tomohito Ikegaya. Introgression of the chromosomal region with the Pi-cd locus from Oryza meridionalis into O. sativa L. during rice domestication. Theor. Appl. Genet. 2019;132(7):1981–90. https://doi.org/10.1007/s00122-019-03332-1
ZHOU, Jiawu, et al. Interspecific Hybridization Is an Important Driving Force for Origin and Diversification of Asian Cultivated Rice Oryza sativa L. Front. Plant Sci, 2022, 13: 932737. https://doi.org/10.3389/fpls.2022.932737
Hoban S, Bruford M, Jackson J, Lopes-Fernandes M, Heuertz M, Hohenlohe, et al. Genetic diversity targets and indicators in the CBD post-2020 Global Biodiversity Framework must be improved. Biol Conserv. 2020; 248: 108654. https://doi.org/10.1016/j.biocon.2020.108654
Li Y, Yu C, Mo R, Zhu Z, Dong Z, Hu X, et al. Screening and Verification of Photosynthesis and Chloroplast-Related Genes in Mulberry by Comparative RNA-Seq and Virus-Induced Gene Silencing. Int J Mol Sci. 2022; 23(15): 8620-8638. https://doi.org/10.3390/ijms23158620
Li B, Zheng Y. Dynamic evolution and phylogenomic analysis of the chloroplast genome in Schisandraceae. Sci Rep. 2018; 8(1): 1–11. https://doi.org/10.1038/s41598-018-27453-7
Badro H, Furtado A, Henry R. Relationships between Iraqi rice varieties at the nuclear and plastid genome levels. Plants. 2019; 8(11): 481-495.
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