آمار
| تعداد نشریات | 45 |
| تعداد شمارهها | 1,477 |
| تعداد مقالات | 18,019 |
| تعداد مشاهده مقاله | 58,371,177 |
| تعداد دریافت فایل اصل مقاله | 19,802,794 |
Assessment of corn transcriptome in two susceptible and tolerant genotypes to Fusarium veticillioides at grain filling under non-inoculated conditions | ||
| Journal of Plant Physiology and Breeding | ||
| دوره 14، شماره 2، 2024، صفحه 251-268 اصل مقاله (839.97 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22034/jppb.2024.61676.1335 | ||
| نویسندگان | ||
| Sakineh Pesaraklu1؛ Hassan Soltanloo* 1؛ Seyyede Sanaz Ramezanpour1؛ Afshin Mosavat2؛ Elahe Tavakol3 | ||
| 1Department of Plant Breeding and Biotechnology, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran. | ||
| 2. Field and Horticultural Crops Research Department, Golestan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Gorgan, Iran. | ||
| 3Department of Crop Production and Plant Breeding, School of Agriculture, Shiraz University, Shiraz, Iran. | ||
| چکیده | ||
| Objective: Fusarium is one of the most important causes of corn rot. Fusarium corn infection generally exists in corn seeds and causes a decrease in plant vigor, and leading to loss of seedlings. Given the significance of corn and the necessity to investigate the genes related to resistance against this pathogen, it is essential to acquire more comprehensive genomic and transcriptomic information. This study aimed to investigate the transcriptomic change of the two corn genotypes 15 days after flowering. Methods: In this study, transcriptome analysis of two C7 and MO17 corn lines was conducted using RNA-Seq technology and the Illumina HiSeq 2500 sequencing system. The C7 and MO17 lines have shown the highest differences in resistance and susceptibility to Fusarium rot, respectively. After sequencing and deletion of the low-quality reads, 1078 significant differential expressions were observed. Results: The analysis of gene ontology revealed that in the grouping of differential genes based on molecular function, the catalytic activity and binding groups accounted for the highest number of genes in both genotypes. Also, in classifying genes based on the biological process, the two groups of metabolic process and cellular process had the highest percentage of differential genes in both genotypes. In the KEGG pathway analysis, the most significant pathways belonged to the metabolic pathway, protein processing in the endoplasmic reticulum, and biosynthesis of secondary metabolites. The KEGG analysis of biological pathways in genotype C7 showed that a total of 144 differential expressions were assigned to 68 pathways. HB, MYB, and Bzip transcription factor families were among the important transcription factors that showed differential expression in this analysis. Conclusion: The seed development stage is controlled by transcription factors. ZmEREB167, as an endosperm-specific transcription factor, affects starch accumulation and grain size. | ||
| کلیدواژهها | ||
| Corn؛ Fusarium؛ Grain؛ Transcriptome | ||
|
سایر فایل های مرتبط با مقاله
|
||
| مراجع | ||
|
Balandín M, Royo J, Gómez E, Muniz LM, Molina A, Hueros G. 2005. A protective role for the embryo surrounding region of the maize endosperm, as evidenced by the characterization of ZmESR-6, a defensin gene specifically expressed in this region. Plant Mol Biol. 58(2): 269-282. https://doi.org/10.1007/s11103-005-3479-1
Barrero C, Muñiz LM, Gómez E, Hueros G, Royo J. 2006. Molecular dissection of the interaction between the transcriptional activator ZmMRP-1 and the promoter of BETL-1. Plant Mol Biol. 62: 655-668. https://doi.org/10.1007/s11103-006-9047-5
Battilani P, Rossi V, Pietri A. 2003. Modeling Fusarium verticillioides infection and fumonisin synthesis in maize ears. Asp Appl Biol. 68: 91-100.
Belmonte MF, Kirkbride RC, Stone SL, Pelletier JM, Bui AQ, Yeung EC, Hashimoto M, Fei J, Harada CM, Munoz MD, et al. 2013. Comprehensive developmental profiles of gene activity in regions and subregions of the Arabidopsis seed. Proc Natl Acad Sci USA. 110(5): E435–E444. https://doi.org/10.1073/pnas.1222061110
Bi YM, Meyer A, Downs GS, Shi X, El-cereamy A, Lukens L, Rothstein SJ. 2014. High throughput RNA sequencing of hybrid maize and its parents shows different mechanisms responsive to nitrogen limitation. BMC Genomics, 15: 77. https://doi.org/10.1186/1471-2164-15-77
Borrás L, Otegui E. 2001. Maize kernel weight response to postflowering source–sink ratio. Crop Sci. 41(6): 1816-1822. https://doi.org/10.2135/cropsci2001.1816
Chen J, Zeng B, Zhang M, Xie S, Wang G, Hauck A, Lai J. 2014. Dynamic transcriptome landscape of maize embryo and endosperm development. Plant Physiol. 166(1): 252–264. https://doi.org/10.1104/pp.114.240689
Eller MS, Holland JB, Payne GA. 2008. Breeding for improved resistance to fumonisin contamination in maize. Toxin Rev. 27(3-4): 371-389. https://doi.org/10.1080/15569540802450326
Evans LT, Rawson HM. 1970. Photosynthesis and respiration by the flag leaf and components of the ear during grain development in wheat. Aust J Biol Sci. 23: 245-254. https://doi.org/10.1071/BI9700245
FAO. 2018. The future of food and agriculture – Alternative pathways to 2050. Food and Agriculture Organization of the United Nations. Rome, Italy.
Feng F, Qi W, Lv Y, Yan S, Xu L, Yang W, Yuan Y, Chen Y, Zhao H, Song R, et al. 2018. OPAQUE11 is a central hub of the regulatory network for maize endosperm development and nutrient metabolism. Plant Cell. 30: 375-396. https://doi.org/10.1105/tpc.17.00616
Gao Y, Xu H, Shen Y, Wang J. 2013. Transcriptomic analysis of rice (Oryza sativa) endosperm using the RNA-Seq technique. Plant Mol Biol. 81(4-5): 363-378. https://doi.org/10.1007/s11103-013-0009-4
Ghassemi A, Farzaneh S, Moharramnejad S. 2020. Impact of ascorbic acid on seed yield and its components in sweet corn (Zea mays L.) under drought stress. J Plant Physiol Breed. 10(1): 41-49. https://doi.org/10.22034/JPPB.2020.12492
Guan Y, Li G, Chu Z, Ru Z, Jiang X, Wen Z, Zhang G, Wang Y, Zhang Y, Wei W. 2019. Transcriptome analysis reveals important candidate genes involved in grain-size formation at the stage of grain enlargement in common wheat cultivar "Bainong 4199". PloS ONE. 14(3): e0214149. https://doi.org/10.1371/journal. pone.0214149
Hofius D. Börnke FAJ. 2007. Photosynthesis, carbohydrate metabolism and source-sink relations. In: Vreugdenhil et al. (eds.) Potato Biology and Biotechnology, Advances and Perspectives. Elsevier Science B.V., pp. 257-285. https://doi.org/10.1016/B978-044451018-1/50055-5
Jensen JK, Schultink A, Keegstra K, Wilkerson CG, Pauly M. 2012. RNA-Seq analysis of developing nasturtium seeds (Tropaeolum majus): identification and characterization of an additional galactosyltransferase involved in xyloglucan biosynthesis. Mol Plant. 5(5): 984-992. https://doi.org/10.1093/mp/sss032
Jones SI. Vodkin LO. 2013. Using RNA-Seq to profile soybean seed development from fertilization to maturity. PLoS ONE 8(3): e59270. https://doi.org/10.1371/journal.pone.0059270
Joshi R, Wani SH, Singh B, Bohra A, Dar ZA, Lone AA, Pareek A, Singla-Pareek SL. 2016. Transcription factors and plants response to drought stress: current understanding and future directions. Front Plant Sci. 7: 1029. https://doi.org/10.3389/fpls.2016.01029
Kato N, Dubouzet E, Kokabu Y, Yoshida S, Taniguchi Y, Dubouzet JG, Yazaki K, Sato F. 2007. Identification of a WRKY protein as a transcriptional regulator of benzylisoquinoline alkaloid biosynthesis in Coptis japonica. Plant Cell Physiol. 4891): 8-18. https://doi.org/10.1093/pcp/pcl041
Kazerani B, Navabpour S. 2019. Induced genes expression pattern in response to drought stress at seedling stage of wheat. J Plant Physiol Breed. 9(1): 111-128. https://doi.org/10.22034/JPPB.2019.10388
Kriedemann P. 1966. The photosynthetic activity of the wheat ear. Ann Bot. 30(3): 349-363. https://doi.org/10.1093/oxfordjournals.aob.a084081
Lai J, Dey N, Kim CS, Bharti. AK, Rudd. S, Mayer KFX, Larkins BA, Becraft P, Messing J. 2004. Characterization of the maize endosperm transcriptome and its comparison to the rice genome. Genome Res. 14(10A): 1932-1937. https://doi.org/10.1101/gr.2780504
Lang Z, Wills DM, Lemmon ZH, Shannon LM, Bukowski R, Wu Y, Messing J and Doebley JF. 2014. Defining the role of prolamin box binding factor1 gene during maize domestication. J Hered. 105(4): 576-582. https://doi.org/10.1093/jhered/esu019
Lanubile A, Pasini L, Marocco A. 2010. Differential gene expression in kernels and silks of maize lines with contrasting levels of ear rot resistance after Fusarium verticillioides infection. J Plant Physiol. 167(16): 1398-1406. https://doi.org/10.1016/j.jplph.2010.05.015
Lanubile A, Ferrarini A, Maschietto V, Delledonne M, Marocco A, Bellin D. 2014. Functional genomic analysis of constitutive and inducible defense responses to Fusarium verticillioides infection in maize genotypes with contrasting ear rot resistance. BMC Genomics. 15(1): 710. https://doi.org/10.1186/1471-2164-15-710
Le BH, Cheng C, Bui AQ, Wagmaister JA, Henry KF, Pelletier J, Kwong L, Belmonte M, Kirkbride R, Horvath S, et al. 2010. Global analysis of gene activity during Arabidopsis seed development and identification of seed-specific transcription factors. Proc Natl Acad Sci USA. 107(18): 8063-8070. https://doi.org/10.1073/pnas.1003530107
Li B, Liu H, Zhang Y, Kang T, Zhang L, Tong J, Xiao L, Zhang H. 2013. Constitutive expression of cell wall invertase genes increases grain yield and starch content in maize. Plant Biotechnol J. 11(9): 1080-1091. https://doi.org/10.1111/pbi.12102
Li N, Li Y. 2014. Ubiquitin‐mediated control of seed size in plants. Front Plant Sci. 5: 332. https://doi.org/10.3389/fpls.2014.00332
Liu X, Fu J, Gu D, Liu W, Liu T, Peng Y, Wang J, Wang G. 2008. Genome-wide analysis of gene expression profiles during the kernel development of maize (Zea mays L.). Genomics. 91(4): 378-387. https://doi.org/10.1016/j.ygeno.2007.12.002
López-González C, Juárez-Colunga S, Trachsel S, Marsch-Martínez N, Gillmor CS, Tiessen A. 2022. Analysis of global gene expression in maize (Zea mays) vegetative and reproductive tissues that differ in accumulation of starch and sucrose. Plants (Basel) 11(3): 238. https://doi.org/10.3390/plants11030238
Magnard JL, Lehouque G, Massonneau A, Frangne N, Heckel T, Gutierrez-Marcos JF, Perez P, Dumas C, Rogowsky PM. 2003. ZmEBE genes show a novel, continuous expression pattern in the central cell before fertilization and in specific domains of the resulting endosperm after fertilization. Plant Mol Biol. 53(6): 821-836. https://doi.org/10.1023/B:PLAN.0000023672.37089.00
Maher CA, Kumar Sinha C, Cao X, Kalyana Sundaram S, Han B, Jing X, Sam L, Barrette T, Palanisamy N, Chinnaiyan AM. 2009. Transcriptome sequencing to detect gene fusions in cancer. Nature. 458 (7234): 97-101. https://doi.org/10.1038/nature07638
Marioni JC, Mason CE, Mane SM, Stephens M, Gilad Y. 2008. RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays. Genome Res. 18(9): 1509-1517. https://doi.org/10.1101/gr.079558.108
Meena MK, Ghawana S, Dwivedi V, Roy A, Chattopadhyay D. 2015. Expression of chickpea CIPK25 enhances root growth and tolerance to dehydration and salt stress in transgenic tobacco. Front Plant Sci. 6:683. https://doi.org/10.3389/fpls.2015.00683
Nagler M, Nukarinen E, Weckwerth W, Nägele T. 2015. Integrative molecular profiling indicates a central role of transitory sarch breakdown in establishing a stable C/N homeostasis during cold acclimation in two natural accessions of Arabidopsis thaliana. BMC Plant Biol. 15: 284. https://doi.org/10.1186/s12870-015-0668-1
Ning P, Peng Y, Fritschi FB. 2018. Carbohydrate dynamics in maize leaves and developing ears in response to nitrogen application. Agronomy. 8(12): 302. https://doi.org/10.3390/agronomy8120302
Niu C, Payane GA, Woloshuk CP. 2015. Transcriptome changes in Fusarium verticillioides caused by mutation in the transporter-like gene FST1. BMC Microbiol. 15: 90. https://doi.org/10.1186/s12866-015-0427-3
Qi H, Liang K, Ke Y, Wang J, Yang P, Yu F, Qiu F. 2023. Advances of Apetala2/ethylene response factors in regulating development and stress response in maize. Int J Mol Sci. 12(24): 5416. https://doi:10.3390/ijms24065416
Rangan P, Furtado A, Henry RJ. 2017. The transcriptome of the developing grain: a resource for understanding seed development and the molecular control of the functional and nutritional properties of wheat. BMC Genomics 18: 766. https://doi.org/10.1186/s12864-017-4154-z
Saalbach I, Mora‐Ramírez I, Weichert N, Andersch. F, Guild G, Wieser H, Koehler P, Stangoulis J, Kumlehn J, Weschke W, et al. 2014. Increased grain yield and micronutrient concentration in transgenic winter wheat by ectopic expression of a barley sucrose transporter. J Cereal Sci. 60(1): 75-81. https://doi.org/10.1016/j.jcs.2014.01.017
Scialdone A, Howard M. 2015. How plants manage food reserves at night: quantitative models and open questions. Front Plant Sci. 6: 204. https://doi.org/10.3389/fpls.2015.00204
Scofield GN, Hirose T, Gaudron JA, Furbank RT, Upadhyaya NM, Ohsugi R. 2002. Antisense suppression of the rice sucrose transporter gene, OsSUT1, leads to impaired grain filling and germination but does not affect photosynthesis. Funct Plant Biol. 29(7): 815-826. https://doi.org/10.1071/PP01204
Sosso D, Luo D, Li QB, Sasse J, Yang J, Gendrot G, Suzuki M, Koch KE, McCarty DR, Chourey PS, et al. 2015. Seed filling in domesticated maize and rice depends on SWEET‐mediated hexose transport. Nat Gene. 47: 1489-1493. https://doi.org/10.1038/ng.3422
Tarazona S, Garcia-Alcalde F, Dopazo J, Ferrer A, Conesa A. 2011. Differential expression in RNA-seq: a matter of depth. Genome Res. 21(12): 2213-2223. https://doi.org/10.1101/gr.124321.111
Tarinejad A, Hoseinzadeh MR, Soltanpour A, Majidi M. 2023. Development of EST-SSR molecular markers in rice (Oryza sativa L.) under salinity stress and identification of key genes. J Plant Physiol Breed. 13(2): 61-80. https://doi.org/10.22034/JPPB.2023.54527.1290
Trapnell C, Williams BA, Pertea G, Mortazavi A, Kwan G, van Baren MJ, Salzberg SL, Wold BJ, Pachter L. 2010. Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation. Nat Biotechnol. 28(5): 511-515. https://doi.org/10.1038/nbt.1621
Wang D, Pajerowska-Mukhtar K, Hendrickson Culler A, Dong X. 2007. Salicylic acid inhibits pathogen growth in plants through repression of the auxin signaling pathway. Curr Biol. 17(20): 1784-1790. https://doi.org/10.1016/j.cub.2007.09.025
Wang S, Luo H, Zhang J, Zhang Y, He Z, Wang S. 2014. Alkali-induced changes in functional properties and in vitro digestibility of wheat starch: the role of surface proteins and lipids. J Agric Food Chem. 62(16): 3636-3643. https://doi.org/10.1021/jf500249w
Weise SE, van Wijk KJ, Sharkey TD. 2011. The role of transitory starch in C(3), CAM, and C(4) metabolism and opportunities for engineering leaf starch accumulation. J Exp Bot. 62(9): 3109-3118. https://doi.org/10.1093/jxb/err035
Weschke W, Panitz R, Sauer N, Wang Q, Neubohn B, Weber H, Wobus U. 2000. Sucrose transport into barley seeds: molecular characterization of two transporters and implications for seed development and starch accumulation. Plant J. 21(5): 455-467. https://doi.org/10.1046/j.1365-313x.2000.00695.x
Xiao Q, Wang Y, Du J, Li H, Wei B, Wang Y, Li Y, Yu G, Liu H, Zhang J, et al. 2017. ZmMYB14 is an important transcription factor involved in the regulation of the activity of the ZmBT1 promoter in starch biosynthesis in maize. FEBS J. 284(18): 3079-3099. https://doi.org/10.1111/febs.14179
Xie G, Li Z, Ran Q, Wang H, Zhang J. 2018. Over-expression of mutated ZmDA1 or ZmDAR1 gene improves maize kernel yield by enhancing starch synthesis. Plant Biotechnol J. 16(1): 234-244. https://doi.org/10.1111/pbi.12763
Xu H, Gao Y, Wang J. 2012. Transcriptomic analysis of rice (Oryza sativa) developing embryos using the RNA-Seq technique. PLoS ONE. 7(2): e30646. https://doi.org/10.1371/journal.pone.0030646
Yi F, Gu W, Chen J, Song N, Gao X, Zhang X, Zhou. Y, Ma X, Song W, Zhao H, et al. 2019. High temporal-resolution transcriptome landscape of early maize seed development. The Plant Cell 31(5): 974-992. https://doi.org/10.1105/tpc.18.00961
Yin SH, Li P, Xu Y, Liu J, Yang T, Wei J, Xu S, Yu J, Fang H, Xue L, et al. 2019. Genetic and genomic analysis of the seed-filling process in maize based on a logistic model. Heredity, 124: 122-134. https://doi.org/10.1038/s41437-019-0251-x
Yu X, Liu Y, Wang S, Tao Y, Wang Z 2016. CarNAC4, a NAC-type chickpea transcription factor conferring enhanced drought and salt stress tolerances in Arabidopsis. Plant Cell Rep. 35(3): 613-627. https://doi.org/10.1007/s00299-015-1907-5
Zeeman SC, Smith SM, Smith AM. 2007. The diurnal metabolism of leaf starch. Biochem J. 401(1): 13-28. https://doi.org/10.1042/BJ20061393
Zeeman SC, Kossmann J, Smith AM. 2010. Starch: its metabolism, evolution, and biotechnological modification in plants. Annu Rev Plant Biol. 61: 209-234. https://doi.org/10.1146/annurev-arplant-042809-112301
| ||
|
آمار تعداد مشاهده مقاله: 147 تعداد دریافت فایل اصل مقاله: 173 |
||
