Arai-Kichise, Y., Shiwa, Y., Nagasaki, H., Ebana, K., Yoshikawa, H., Yano, M., & Wakasa, K. (2011). Discovery of genome-wide DNA polymorphisms in a landrace cultivar of Japonica rice by whole-genome sequencing. Plant Cell Physiol, 52, 274–282. https,//doi.org/10.1093/pcp/pcr003.
Bertioli, D. J., Jenkins, J., Stasolla, C., & Wang, X. (2022). NBS-LRR gene family expansion and diversification in plants, evolutionary and functional perspectives. Frontiers in Plant Science, 13, 847211. https,//doi.org/10.3389/fpls.2022.847211
Bittner-Eddy, P .D., Crute, I. R., Holub, E. B., & Beynon, J. L. (2000). RPP13 is a simple locus in Arabidopsis thaliana for alleles that specify downy mildew resistance to different avirulence determinants in Peronospora parasitica. Plant ,21(2),177-88. https,//doi.org/10.1046/j.1365-313x.2000.00664.x.
Caicedo, A. L., Williamson, S. H., Hernandez, R. D., Boyko, A., Fledel-Alon, A., York, T. L., Polato, N. R., Olsen, K., M., Nielsen, R., McCouch, S, R., Bustamante, C. D., & Purugganan, M. D. (2007) Genome-wide patterns of nucleotide polymorphism in domesticated rice. PLoS Genetics, 3, 1745-1756. https,//doi.org/10.1371/journal.pgen.0030163.
Cheng, J., Fan, H., Li, L., Hu, B., Liu, H., & Liu, Z. (2018). Genome-wide Identification and Expression Analyses of RPP13-like Genes in Barley. BioChip, 12, 102–113. https,//doi.org/10.1007/s13206-017-2203-y.
Cingolani, P., Platts, A., Wang, L. L., Coon, M., Nguyen, T., Wang, L., & Ruden, D. M. (2012). A program for annotating and predicting the effects of single nucleotide polymorphisms, snpeff, SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3. Fly, 6(2), 80-92. https,//doi.org/10.4161/fly.19695.
Ebadi, A. A., & Hallajian, M. T. (2024). Release of a new rice cultivar, Hasti, drived from Hashemi landrace The final project report with registration number 65362, Rice Research Institute of Iran-Rasht. (in persian)
Fang, Y., Liao, K., Du, H., Xu, Y., Song, H., Li, X., Xiong, L., & Zhao, Y. (2022). NBS-LRR-mediated drought tolerance and osmotic adjustment in rice. Plant Science, 320, 111297. https,//doi.org/10.1016/j.plantsci.2022.111297
Feltus, F. A., Wan, J., Schulze, S. R., Estill, J. C., Jiang, N., & Paterson, A. H. (2004). An SNP resource for rice genetics and breeding based on subspecies indica and japonica genome alignments. Genome Research, 14, 1812–1819. https,//doi.org/10.1101/gr.2479404.
Furuta, T., Uehara, K., & Kobayashi, N. (2023). Mutation spectra induced by gamma irradiation in rice genomes revealed by whole-genome resequencing. Frontiers in Plant Science, 14, 1170389. https,//doi.org/10.3389/fpls.2023.1170389
Hayashi, K., Yoshida, H., & Ashikawa, I. (2006). Development of PCR-based allele-specific and InDel marker sets for nine rice blast resistance genes. Theoretical and Applied Genetics, 113, 251–260. https,//doi.org/10.1007/s00122-006-0290-6
Huang, X., Lu, T., & Han, B. (2013). Resequencing rice genomes, an emerging new era of rice genomics. Trends in Genetics, 29, 225-232. https,//doi.org/10.1016/j.tig.2012.12.001.
Huang, X., Zhao, Y., & Li, J. (2021). Patterns of transition and transversion polymorphisms in the rice genome. The Plant Genome, 14(3), e20149. https,//doi.org/10.1002/tpg2.20149
IRRI (International Rice Research Institute). (2006). Direct seeded rice, a low cost establishment technology. IRRI Rice factsheet. Available at http,//www.narc.org.np/rice_knowledge_bank/fact.
IRRI (International Rice Research Institute). (2014). Standard Evaluation System for Rice (SES). Loss Banos, Leguna,Philippines.
Jain, R., Sharma, R., & Singh, N. (2019). Analysis of homozygous and heterozygous SNPs in gamma-irradiated rice mutants using next-generation sequencing. Plant Physiology Reports, 24(4), 612–621. https,//doi.org/10.1007/s40502-019-00489-7
Jain, S. A., Jesus, F., Marchioro, G., & Araújo, E. (2013b). Extraction of DNA from honey and its amplification by PCR for botanical identification. Food Science and Technology, 33,753–756. https,//doi.org/10.1590/S0101-20612013000400022.
Jain., K., Moharana, K. C., Shankar, R., Kumari, R., & arg, R. (2013a). Genomewide discovery of DNA polymorphisms in ricecultivars with contrasting drought and salinity stress response and their functional relevance. Plant Biotechnology, 12, 253-264. https,//doi.org/10.1111/pbi.12133.
Jung, H., Kim, J., Lee, S., Park, H., Choi, Y., & Seo, P. J. (2020). Genome-wide identification of NBS-LRR genes in rice and their roles in drought stress tolerance. BMC Plant Biology, 20(1), 434. https,//doi.org/10.1186/s12870-020-02621-0
Kawakami, K., Matsuda, K., & Nagano, A. J. (2018). Transition/transversion ratio as an indicator of sequencing error and variant calling quality in plants. DNA Research, 25(5), 515–523. https,//doi.org/10.1093/dnares/dsy024
Keurentjes, J. J., Fu, J., Terpstra, I. R., Garcia, J. M., van den Ackerveken, G., Snoek, L. B., Peeters, A. J., Vreugdenhil, D., Koornneef, M., & Jansen, R. C. (2007). Regulatory network construction in Arabidopsis by using genome-wide gene expression quantitative trait loci. Proceedings of the National Academy of Sciences USA, 104, 1708–1713. https,//doi.org/10.1073/pnas.0610429104.
Kim, H. J., Lee, Y. S., & Kim, S. H. (2022). Optimization of read alignment strategies for high-quality variant calling in rice genome resequencing. Rice, 15(1), 43. https,//doi.org/10.1186/s12284-022-00597-9
Kumar, A., Singh, R., Verma, P., Gupta, S., Sharma, N., & Tiwari, V. (2022). ABA-dependent regulation of NBS-LRR genes under drought stress in rice. Plant Molecular Biology, 110(3), 221–236. https,//doi.org/10.1007/s11103-022-01222-7
Landry, C. R., Lemos, B., Rifkin, S. A., Dickinson, W. J., & Hartl, D. L. (2007), Genetic properties influencing the evolvability of gene expression. Science, 317, 118–121. https,//doi.org/10.1126/science.1140247.
Liang, F., Xin, X., Hu, Z., Xu, J., Wei, G., Qian, X., Yang, J., He, H., & Luo, X. (2011) Genetic analysis and fine mapping of a novel semidominant dwarfing gene LB4D in rice. Integrative Plant Biology, 53, 312–323. https,//doi.org/10.1111/j.1744-7909.2011.01031.x.
Mahesh, H. B., Shirke, M. D., & Gowda, M. (2020). Genome alignment and SNP identification in rice genotypes differing in drought tolerance. Scientific Reports, 10(1), 11242. https,//doi.org/10.1038/s41598-020-68045-0
Mansueto, L., Fuentes, R. R., & Leung, H. (2017). SNP discovery and genotyping in rice for genetic diversity and trait association studies. Plant Biotechnology Journal, 15(9), 1176–1186. https,//doi.org/10.1111/pbi.12712
McNally, K. L., Childs, K. L., Bohnert, R., Davidson, R. M., Zhao, K., Ulat, V. J., Zeller, G., Clark, R. M., Hoen, D. R., Bureau, T. E., Stokowski, R., Ballinger, D. G., Frazer, K. A., Cox, D. R., Padhukasahasram, B., Bustamante, C. D., Weigel, D., Mackill, D. J., Bruskiewich, R. M., Ratsch, G., Buell. C. R., Leung, H., & Leach, J. E. (2009). Genomewide SNP variation reveals relationships among landraces and modern varieties of rice. Proceedings of the National Academy of Sciences USA, 106, 12273-12278 . https,//doi.org/10.1073/pnas.0900992106.
Nordborg, M., Hu, T. T., Ishino, Y., Jhaveri, J., Toomajian. C., Zheng, H., Bakker, E., Calabrese, P., Gladstone, J., Goyal, R., Jakobsson, M., Kim, S., Morozov, Y., Padhukasahasram, B., Plagnol, V., Rosenberg, N. A., Shah, C., Wall, J. D., Wang, J., Zhao, K., Kalbfleisch, T., Schulz, V., Kreitman, M., & Bergelson, J. (2005). The pattern of polymorphism in Arabidopsis thaliana. Biology, 3, e196. https,//doi.org/10.1371/journal.pbio.0030196.
Pagani, I., Liolios, K., Jansson. J., Chen, I. A., Smirnova, T., & Nosrat, B. (2012). The Genomes OnLine Database (GOLD) v.4, status of genomic and metagenomic projects and their associated metadata. Nucleic Acids Research, 40, 571-579. https,//doi.org/10.1093/nar/gkr1100.
Ray, D. K, Mueller, N. D., West, P. C.& Foley, J. A. )2013(. Yield trends are insufficient to double total crop production by 2050. PLoS ONE, 8(6), 66428. https,//doi.org/10.1371/journal.pone.0066428.
Sakariya, P., Sakure, A. A., Kumar, S., Rojasara, Y., & Vaja, M. B. (2024) Identification of candidate genes through comparative proteomics profiling under root knot nematode infection in Nicotiana tabacum L. South African Journal of Botany, 169, 155-163. https,//doi.org/10.1016/j.sajb.2024.04.014
Seo, E., Kim, J. H., Park, H., Lee, S., & Choi, D. (2022). Expanding roles of NBS-LRR genes in plant abiotic stress responses. International Journal of Molecular Sciences, 23(4), 1892. https,//doi.org/10.3390/ijms23041892
Singh, S., Kumar, R., & Pathak, D. (2021). Mapping QTLs and identifying SNP hotspots for drought tolerance in rice. Frontiers in Genetics, 12, 671583. https,//doi.org/10.3389/fgene.2021.671583
Subbaiyan, G. K., Waters, D. L., Katiyar, S. K., Sadananda, A. R., Vaddadi, S., & Henry, R. J. (2012). Genome-wide DNA polymorphisms in elite indica rice inbreds discovered by whole-genome sequencing. Plant Biotechnology, 10, 623–634. https,//doi.org/10.1111/j.1467-7652.2011.00676.x.
Thumma, B. R., Matheson, B. A., Zhang, D., Meeske, C., Meder, R., Downes, G. M., & Southerton, S. G. (2009). Identification of a Cis-acting regulatory polymorphism in a Eucalypt COBRA-like gene affecting cellulose content. Genetics, 183, 1153–1164. https,//doi.org/10.1534/genetics.109.106591.
Varshney, R. K., Nayak, S. N., May, G. D., & Jackson, S. A. (2009). Next-generation sequencing technologies and their implications for crop genetics and breeding. Trends in Biotechnology, 27, 522-530. https,//doi.org/10.1016/j.tibtech.2009.05.006.
Villeth, G. R., Carmo, L. S., Silva, L. P., Fontes, W., Grynberg, P., Saraiva, M., Brasileiro, A. C., Carneiro, R. M., Oliveira, J. T., Grossi-de-sa, M .F., & Mehta, A. (2015). Cow pea Meloidogyne incognita interaction, root proteomic analysis during early stages of nematode infection. Proteomics, 15(10), 1746–1759. https,//doi.org/10.1002/pmic.201400561.
Wada, Y., Van Beek, L. P. H., Van Kempen, C. M., Reckman,. J. W. T. M., Vasak, S., Bierkens, M. F. P. (2010). Global depletion of ground water resources. Geophysical Research Letters, 37, 20. https,//doi.org/10.1029/2010GL044571.
Li, C., Zhang, Y., & Zhao, L. (2022). Genome-wide analysis of single nucleotide polymorphisms in rice cultivars under abiotic stress. Frontiers in Genetics, 13, 868345. https,//doi.org/10.3389/fgene.2022.868345
Liu, H., Zhang, X., & Yuan, J. (2023). Genomic distribution and functional annotation of SNPs in rice cultivars differing in drought tolerance. BMC Genomics, 24(1), 512. https,//doi.org/10.1186/s12864-023-09752-9
Wang, D., Zhang, X., & Xu, Y. (2020). Whole-genome resequencing analysis of rice accessions reveals insights into genetic variations and SNP characteristics. BMC Genomics, 21(1), 823. https,//doi.org/10.1186/s12864-020-07235-6
Wang, X., Chen, J., & Liu, S. (2021). Evaluation of sequencing depth and coverage for accurate SNP detection in rice genome resequencing. Plant Methods, 17(1), 122. https,//doi.org/10.1186/s13007-021-00779-5
Wittkopp, P. J., Haerum. B. K., & Clark, A. G. (2008). Regulatory changes underlying expression differences within and between Drosophila species. Nature Genetics, 40, 346–350. https,//doi.org/10.1038/ng.77
Woldegiorgis S. T., Wang, S. He, Y., Xu, Z., Chen, L., Tao, H., Zhang, Y., Zou, Y., Harrison, A., Zhang, L., Ai, Y., Liu, W., & He, H. (2019). Rice Stress-Resistant SNP Database. Springer Open, 12, 97. https,//doi.org/10.1186/s12284-019-0356-0.
Wray, G. A. (2007). The evolutionary significance of cis-regulatory mutations. Nature Reviews Genetics, 8, 206–216. https,//doi.org/ doi,10.1038/nrg2063.
Yamamoto, T., Nagasaki, H., Yonemaru, J., Ebana, K., Nakajima, M., Shibaya, T., & Yano, M. (2010). Fine definition of the pedigree haplotypes of closely related rice cultivars by means of genome-wide discovery of single-nucleotide polymorphisms. BMC Genomics, 11, 267. https,//doi.org/10.1186/1471-2164-11-267.
Zhang, X., Cal, A. J., & Borevitz, J. O. (2011). Genetic architecture of regulatory variation in Arabidopsis thaliana. Genome Research, 21, 725–733. https,//doi.org/10.1101/gr.115337.110.
Zhao, H., Yu, D., & Zhang, H. (2022). Functional impacts of SNPs in promoter regions of drought-responsive genes in rice. Frontiers in Plant Science, 13, 976511. https,//doi.org/10.3389/fpls.2022.976511