A comparative transcriptomic meta-analysis revealed conserved key genes and regulatory networks involved in drought tolerance in cereal crops
Open accessAbstract
Drought affects plant growth and development, causing severe yield losses, especially in cereal crops. The identification of genes involved in drought tolerance is crucial for the development of drought-tolerant crops. The aim of this study was to identify genes that are conserved key players for conferring drought tolerance in cereals. By comparing the transcriptomic changes between tolerant and susceptible genotypes in four Gramineae species, we identified 69 conserved drought tolerant-related (CDT) genes that are potentially involved in the drought tolerance of all of the analysed species. The CDT genes are principally involved in stress response, photosynthesis, chlorophyll biogenesis, secondary metabolism, jasmonic acid signalling, and cellular transport. Twenty CDT genes are not yet characterized and can be novel candidates for drought tolerance. The k-means clustering analysis of expression data highlighted the prominent roles of photosynthesis and leaf senescence-related mechanisms in differentiating the drought response between tolerant and sensitive genotypes. In addition, we identified specific transcription factors that could regulate the expression of photosynthesis and leaf senescence-related genes. Our analysis suggests that the balance between the induction of leaf senescence and maintenance of photosynthesis during drought plays a major role in tolerance. Fine-tuning of CDT gene expression modulation by specific transcription factors can be the key to improving drought tolerance in cereals.
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HSP70 genes are crucial for heat tolerance in various cereal crops.
“Several HSP-encoding genes, including HSP70, have been identified as crucial for heat tolerance in various cereal crops (Baldoni et al., 2021).”
From Emerging applications of gene editing technologies for the development of climate-resilient crops (2025) · cites this paper as Baldoni et al., 2021
Results §2.5 identifies HSP70 and OsHsp60-1 as heat-shock-protein-encoding genes involved in abiotic stress responses. But the analysis concerns drought tolerance across cereal species; the cited passage does not establish that these genes are crucial for heat tolerance. (LLM, conf=0.88)
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Trimmomatic: a flexible trimmer for Illumina sequence data
Bolger, A. M., Lohse, M., & Usadel, B. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu170 · Cited by 65,548 · see citing works
Cytoscape: A software Environment for integrated models of biomolecular interaction networks
Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888 · see citing works
Robinson, M. D., McCarthy, D. J., & Smyth, G. K. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp616 · Cited by 41,364 · see citing works
featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
Liao, Y., Smyth, G. K., & Shi, W. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt656 · Cited by 27,219 · see citing works
Szklarczyk, D., Gable, A. L., Lyon, D., Junge, A., Wyder, S., Huerta-Cepas, J., Simonovic, M., Doncheva, N. T., Morris, J. H., Bork, P., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky1131 · Cited by 17,749 · see citing works
Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype
Kim, D., Paggi, J. M., Park, C., Bennett, C., & Salzberg, S. L. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0201-4 · Cited by 15,022 · see citing works
The B73 Maize Genome: Complexity, Diversity, and Dynamics
Schnable, P., Ware, D., Fulton, R., Stein, J., Wei, F., Pasternak, S., Liang, C.-Z., Zhang, J.-W., Fulton, L., Graves, T., et al. (2009) · Science · doi:10.1126/science.1178534 · Cited by 3,985 · see citing works
Influence of extreme weather disasters on global crop production
Lesk, C., Rowhani, P., & Ramankutty, N. (2016) · Nature · doi:10.1038/nature16467 · Cited by 3,883 · see citing works
The map-based sequence of the rice genome
International Rice Genome Sequencing Project, & Sasaki, T. (2005) · Nature · doi:10.1038/nature03895 · Cited by 3,784 · see citing works
Plant cis-acting regulatory DNA elements (PLACE) database: 1999
Higo, K., Ugawa, Y., Iwamoto, M., & Korenaga, T. (1999) · Nucleic Acids Research · doi:10.1093/nar/27.1.297 · Cited by 3,387 · see citing works
Global warming and changes in drought
Trenberth, K. E., Dai, A., van der Schrier, G., Jones, P. D., Barichivich, J., Briffa, K. R., & Sheffield, J. (2014) · Nature Climate Change · doi:10.1038/nclimate2067 · Cited by 3,382 · cited 2× · see citing works
“Therefore, a large effort is required to increase agricultural production by improving the adaptation of crops to sub-optimal environments in spite of reduced water availability [4,5].”
BackgroundGene networks involved in drought stress response and tolerance
Shinozaki, K., & Yamaguchi‐Shinozaki, K. (2006) · Journal of Experimental Botany · doi:10.1093/jxb/erl164 · Cited by 2,641 · see citing works
Genome sequencing and analysis of the model grass Brachypodium distachyon
Initiative, T. I. B. (2010) · Nature · doi:10.1038/nature08747 · Cited by 1,867 · see citing works
Genetic strategies for improving crop yields
Bailey-Serres, J. N., Parker, J. E., Ainsworth, E. A., Oldroyd, G. E. D., & Schroeder, J. I. (2019) · Nature · doi:10.1038/s41586-019-1679-0 · Cited by 1,513 · see citing works
Ensembl BioMarts: a hub for data retrieval across taxonomic space
Kinsella, R., Kähäri, A., Haider, S., Zamora, J., Proctor, G., Spudich, G., Almeida-King, J., Staines, D., Derwent, P., Kerhornou, A., et al. (2011) · Database J. Biol. Databases Curation · doi:10.1093/database/bar030 · Cited by 1,465 · see citing works
A physical, genetic and functional sequence assembly of the barley genome
The International Barley Genome Sequencing Consortium (2012) · Nature · doi:10.1038/nature11543 · Cited by 1,456 · see citing works
AP2/ERF family transcription factors in plant abiotic stress responses
Mizoi, J., Shinozaki, K., & Yamaguchi‐Shinozaki, K. (2011) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2011.08.004 · Cited by 1,441 · see citing works
Hormone balance and abiotic stress tolerance in crop plants
Peleg, Z., & Blumwald, E. (2011) · Current Opinion in Plant Biology · doi:10.1016/j.pbi.2011.02.001 · Cited by 1,363 · see citing works
Tolerance to drought and salt stress in plants: Unraveling the signaling networks
Golldack, D., Li, C., Mohan, H., & Probst, N. (2014) · Frontiers in Plant Science · doi:10.3389/fpls.2014.00151 · Cited by 1,145 · see citing works
ABA-dependent and ABA-independent signaling in response to osmotic stress in plants
Yoshida, T., Mogami, J., & Yamaguchi‐Shinozaki, K. (2014) · Current Opinion in Plant Biology · doi:10.1016/j.pbi.2014.07.009 · Cited by 1,103 · see citing works
NAC transcription factors in plant abiotic stress responses
Nakashima, K., Takasaki, H., Mizoi, J., Shinozaki, K., & Yamaguchi‐Shinozaki, K. (2011) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2011.10.005 · Cited by 1,054 · see citing works
Global Synthesis of Drought Effects on Maize and Wheat Production
Daryanto, S., Wang, L., & Jacinthe, P.-A. (2016) · PLoS ONE · doi:10.1371/journal.pone.0156362 · Cited by 1,028 · see citing works
PlantTFDB 3.0: a portal for the functional and evolutionary study of plant transcription factors
Jin, J., Zhang, H., Kong, L., Gao, G., & Luo, J. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt1016 · Cited by 968 · see citing works
Osmotic adjustment is a prime drought stress adaptive engine in support of plant production
Blum, A. (2016) · Plant Cell & Environment · doi:10.1111/pce.12800 · Cited by 962 · see citing works
Delayed leaf senescence induces extreme drought tolerance in a flowering plant
Rivero, R. M., Kojima, M., Gepstein, A., Sakakibara, H., Mittler, R., Gepstein, S., & Blumwald, E. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0709453104 · Cited by 896 · see citing works
The Role of the Plant Antioxidant System in Drought Tolerance
Laxa, M., Liebthal, M. F., Telman, W., Chibani, K., & Dietz, K. (2019) · Antioxidants · doi:10.3390/antiox8040094 · Cited by 865 · see citing works
Diverse roles of jasmonates and ethylene in abiotic stress tolerance
Kazan, K. (2015) · Trends in Plant Science · doi:10.1016/j.tplants.2015.02.001 · Cited by 850 · see citing works
Genetic Engineering and Breeding of Drought-Resistant Crops
Hu, H., & Xiong, L. (2013) · Annual Review of Plant Biology · doi:10.1146/annurev-arplant-050213-040000 · Cited by 786 · see citing works
Development of drought-resistant cultivars using physiomorphological traits in rice
Fukai, S., & Cooper, M. (1995) · Field Crops Research · doi:10.1016/0378-4290(94)00096-u · Cited by 598 · see citing works
Urao, T., Yamaguchi‐Shinozaki, K., Urao, S., & Shinozaki, K. (1993) · The Plant Cell · doi:10.1105/tpc.5.11.1529 · Cited by 590 · see citing works
Tardieu, F., Simonneau, T., & Muller, B. (2018) · Annual Review of Plant Biology · doi:10.1146/annurev-arplant-042817-040218 · Cited by 578 · see citing works
The Senescence-Induced Staygreen Protein Regulates Chlorophyll Degradation
Park, S., Yu, J., Park, J., Li, J., Yoo, S., Lee, N.-Y., Lee, S., Jeong, S.-W., Seo, H. S., Koh, H., et al. (2007) · The Plant Cell · doi:10.1105/tpc.106.044891 · Cited by 561 · see citing works
Plant MYB Transcription Factors: Their Role in Drought Response Mechanisms
Baldoni, E., Genga, A., & Cominelli, E. (2015) · International Journal of Molecular Sciences · doi:10.3390/ijms160715811 · Cited by 539 · see citing works
Self-citationLiang, C., Wang, Y., Zhu, Y., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1321568111 · Cited by 534 · see citing works
The Agony of Choice: How Plants Balance Growth and Survival under Water-Limiting Conditions
Claeys, H., & Inzé, D. (2013) · PLANT PHYSIOLOGY · doi:10.1104/pp.113.220921 · Cited by 496 · see citing works
Per, T. S., Khan, N. A., Reddy, P. S., et al. (2017) · Plant Physiology and Biochemistry · doi:10.1016/j.plaphy.2017.03.018 · Cited by 487 · see citing works
Todaka, D., Shinozaki, K., & Yamaguchi‐Shinozaki, K. (2015) · Frontiers in Plant Science · doi:10.3389/fpls.2015.00084 · Cited by 430 · see citing works
Yamaguchi‐Shinozaki, K., & Shinozaki, K. (1993) · Molecular and General Genetics MGG · doi:10.1007/bf00279525 · Cited by 389 · see citing works
C2H2 Zinc Finger Proteins: Master Regulators of Abiotic Stress Responses in Plants
Han, G., Lu, C., Guo, J., Qiao, Z., Sui, N., Qiu, N., & Wang, B. (2020) · Frontiers in Plant Science · doi:10.3389/fpls.2020.00115 · Cited by 388 · see citing works
Martínez, I. M., & Chrispeels, M. J. (2003) · The Plant Cell · doi:10.1105/tpc.007609 · Cited by 385 · see citing works
Dietz, K., Vogel, M. O., & Viehhauser, A. (2010) · PROTOPLASMA · doi:10.1007/s00709-010-0142-8 · Cited by 377 · see citing works
A Rice NAC Transcription Factor Promotes Leaf Senescence via ABA Biosynthesis
Mao, C., Lu, S., Lv, B., et al. (2017) · PLANT PHYSIOLOGY · doi:10.1104/pp.17.00542 · Cited by 368 · see citing works
Function and Mechanism of WRKY Transcription Factors in Abiotic Stress Responses of Plants
Li, W., Pang, S., Lu, Z., et al. (2020) · Plants · doi:10.3390/plants9111515 · Cited by 346 · see citing works
Network biology concepts in complex disease comorbidities
Hu, J. X., Thomas, C. E., & Brunak, S. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.87 · Cited by 328 · see citing works
The metabolic response to drought
Fàbregas, N., & Fernie, A. R. (2018) · Journal of Experimental Botany · doi:10.1093/jxb/ery437 · Cited by 318 · see citing works
Lenka, S. K., Katiyar, A., Chinnusamy, V., & Bansal, K. C. (2010) · Plant Biotechnology Journal · doi:10.1111/j.1467-7652.2010.00560.x · Cited by 273 · see citing works
Learning from Co-expression Networks: Possibilities and Challenges
Serin, E. A. R., Nijveen, H., Hilhorst, H., & Ligterink, W. (2016) · Frontiers in Plant Science · doi:10.3389/fpls.2016.00444 · Cited by 272 · see citing works
Structure, function and regulation of plant photosystem I
Jensen, P. E., Bassi, R., Boekema, E. J., et al. (2007) · Biochimica et Biophysica Acta (BBA) - Bioenergetics · doi:10.1016/j.bbabio.2007.03.004 · Cited by 262 · see citing works
Molecular cloning and function analysis of the stay green gene in rice
Jiang, H., Li, M., Liang, N., Yan, H., Wei, Y., Xu, X., Liu, J., Xu, Z., Chen, F., & Wu, G. (2007) · The Plant Journal · doi:10.1111/j.1365-313x.2007.03221.x · Cited by 259 · see citing works
The NAC Family Transcription Factor OsNAP Confers Abiotic Stress Response Through the ABA Pathway
Xu, C., Wang, Y., Lv, B., Li, J., Luo, L., Lu, S., Zhang, X., Mā, H., & Ming, F. (2014) · Plant and Cell Physiology · doi:10.1093/pcp/pct204 · Cited by 257 · see citing works
Transcriptional regulation of bHLH during plant response to stress
Sun, X. H., Wang, Y., & Sui, N. (2018) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2018.07.123 · Cited by 253 · see citing works
Todaka, D., Zhao, Y. F., Yoshida, T., et al. (2016) · The Plant Journal · doi:10.1111/tpj.13468 · Cited by 246 · see citing works
A genome-wide survey of HD-Zip genes in rice and analysis of drought-responsive family members
Agalou, A., Purwantomo, S., Övernäs, E., Johannesson, H., Zhu, X., Estiati, A., de Kam, R. J., Engström, P., Slamet‐Loedin, I. H., Zhu, Z., et al. (2007) · Plant Molecular Biology · doi:10.1007/s11103-007-9255-7 · Cited by 232 · see citing works
Physiological impacts of ABA–JA interactions under water-limitation
de Ollas, C., & Dodd, I. C. (2016) · Plant Molecular Biology · doi:10.1007/s11103-016-0503-6 · Cited by 223 · see citing works
RSAT 2018: regulatory sequence analysis tools 20th anniversary
Nguyen, N. T. T., Contreras‐Moreira, B., Castro-Mondragon, J. A., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky317 · Cited by 220 · see citing works
Function of the HD-Zip I gene Oshox22 in ABA-mediated drought and salt tolerances in rice
Zhang, S., Haider, I., Kohlen, W., et al. (2012) · Plant Molecular Biology · doi:10.1007/s11103-012-9967-1 · Cited by 214 · see citing works
SNAC‐As, stress‐responsive NAC transcription factors, mediate ABA‐inducible leaf senescence
Takasaki, H., Maruyama, K., Takahashi, F., et al. (2015) · The Plant Journal · doi:10.1111/tpj.13067 · Cited by 211 · see citing works
Jung, H., Chung, P. J., Park, S. H., et al. (2017) · Plant Biotechnology Journal · doi:10.1111/pbi.12716 · Cited by 209 · see citing works
Kamal, N. M., Gorafi, Y. S. A., Abdelrahman, M., Abdellatef, E., & Tsujimoto, H. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20235837 · Cited by 204 · see citing works
Abiotic and biotic stresses induce a core transcriptome response in rice
Cohen, S. P., & Leach, J. E. (2019) · Scientific Reports · doi:10.1038/s41598-019-42731-8 · Cited by 188 · see citing works
CONSTANS Imparts DNA Sequence Specificity to the Histone Fold NF-YB/NF-YC Dimer
Gnesutta, N., Kumimoto, R. W., Swain, S., Chiara, M., Siriwardana, C. L., Horner, D. S., Holt, B. F., & Mantovani, R. (2017) · The Plant Cell · doi:10.1105/tpc.16.00864 · Cited by 187 · see citing works
Natural Variation in OsLG3 Increases Drought Tolerance in Rice by Inducing ROS Scavenging
Xiong, H., Yu, J., Miao, J., Li, J., Zhang, H., Wang, X., Liu, P., Zhao, Y., Jiang, C., Yin, Z., et al. (2018) · PLANT PHYSIOLOGY · doi:10.1104/pp.17.01492 · Cited by 179 · see citing works
OsHAP3 genes regulate chloroplast biogenesis in rice
Miyoshi, K., Ito, Y., Serizawa, A., et al. (2003) · The Plant Journal · doi:10.1046/j.1365-313x.2003.01897.x · Cited by 173 · see citing works
Leyva‐González, M. A., Ibarra‐Laclette, E., Cruz‐Ramírez, A., & Herrera‐Estrella, L. (2012) · PLoS ONE · doi:10.1371/journal.pone.0048138 · Cited by 172 · see citing works
Todaka, D., Nakashima, K., Maruyama, K., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1207324109 · Cited by 170 · see citing works
Regulation of Leaf Senescence and Crop Genetic ImprovementF
Wu, X., Kuai, B., Jia, J., & Jing, H. (2012) · Journal of Integrative Plant Biology · doi:10.1111/jipb.12005 · Cited by 165 · see citing works
Jan, S., Abbas, N., Ashraf, M., & Ahmad, P. (2018) · PROTOPLASMA · doi:10.1007/s00709-018-1310-5 · Cited by 154 · see citing works
Zhang, T., Zhao, X., Wang, W., Pan, Y., Huang, L., Liu, X., Zong, Y., Zhu, L., Yang, D., & Fu, B. (2012) · PLoS ONE · doi:10.1371/journal.pone.0043274 · Cited by 152 · see citing works
Zenda, T., Liu, S., Wang, X., et al. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20061268 · Cited by 132 · see citing works
Wang, G.-F., Li, W., Li, W., Guoli, W., Zhou, C.-Y., & Chen, K. (2013) · International Journal of Molecular Sciences · doi:10.3390/ijms14059440 · Cited by 131 · see citing works
Zhang, Z., Li, Y., & Xiao, B. (2016) · Scientific Reports · doi:10.1038/srep19349 · Cited by 123 · see citing works
Zanetti, M. E., Rípodas, C., & Niebel, A. (2016) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2016.11.007 · Cited by 120 · see citing works
Zhou, Y., Huang, W., Liu, L., et al. (2013) · BMC Plant Biology · doi:10.1186/1471-2229-13-132 · Cited by 118 · see citing works
Bosco, C. D., Lezhneva, L., Biehl, A., Leister, D., Strotmann, H., Wanner, G., & Meurer, J. (2004) · Journal of Biological Chemistry · doi:10.1074/jbc.m308435200 · Cited by 108 · see citing works
He, Y., Zhao, J. H., Yang, B., et al. (2020) · Plant Biotechnology Journal · doi:10.1111/pbi.13353 · Cited by 108 · see citing works
Lindemose, S., Jensen, M. K., de Velde, J. V., O’Shea, C., Heyndrickx, K. S., Workman, C. T., Vandepoele, K., Skriver, K., & Masi, F. D. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku502 · Cited by 107 · see citing works
Molecular bases of responses to abiotic stress in trees
Estravis-Barcala, M., Mattera, M. G., Soliani, C., Bellora, N., Opgenoorth, L., Heer, K., & Arana, M. V. (2019) · Journal of Experimental Botany · doi:10.1093/jxb/erz532 · Cited by 100 · see citing works
The Stay-Green Rice like (SGRL) gene regulates chlorophyll degradation in rice
Rong, H., Tang, Y., Zhang, H., et al. (2013) · Journal of Plant Physiology · doi:10.1016/j.jplph.2013.05.016 · Cited by 99 · see citing works
Inverse correlation between jasmonic acid and salicylic acid during early wound response in rice
Lee, A., Cho, K., Jang, S.-K., et al. (2004) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2004.04.095 · Cited by 93 · see citing works
Integrated Genome-Scale Analysis Identifies Novel Genes and Networks Underlying Senescence in Maize
Sekhon, R. S., Saski, C. A., Kumar, R., Flinn, B. S., Luo, F., Beissinger, T. M., Ackerman, A. J., Breitzman, M. W., Bridges, W. C., de León, N., et al. (2019) · The Plant Cell · doi:10.1105/tpc.18.00930 · Cited by 84 · see citing works
Zhang, M., Liu, Y., Cai, H., et al. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21207778 · Cited by 81 · see citing works
Sakuraba, Y., Kim, E., Han, S.-H., Piao, W., An, G., Todaka, D., Yamaguchi‐Shinozaki, K., & Paek, N. (2017) · Journal of Experimental Botany · doi:10.1093/jxb/erx231 · Cited by 74 · see citing works
Urao, T., Yamaguchi‐Shinozaki, K., Urao, S., et al. (1993) · The Plant Cell · doi:10.2307/3869736 · Cited by 68 · see citing works
Cantalapiedra, C. P., García-Pereira, M. J., Gracia, M. P., Igartua, E., Casas, A. M., & Contreras‐Moreira, B. (2017) · Frontiers in Plant Science · doi:10.3389/fpls.2017.00647 · Cited by 62 · see citing works
Knockdown of GDCH gene reveals reactive oxygen species‐induced leaf senescence in rice
Zhou, Q., Yu, Q., Wang, Z., et al. (2013) · Plant Cell & Environment · doi:10.1111/pce.12078 · Cited by 61 · see citing works
Muthuramalingam, P., Krishnan, S. R., Pothiraj, R., et al. (2017) · Frontiers in Plant Science · doi:10.3389/fpls.2017.00759 · Cited by 59 · see citing works
Rice DNA-Binding One Zinc Finger 24 (OsDOF24) Delays Leaf Senescence in a Jasmonate-Mediated Pathway
Shim, Y., Kang, K., An, G., et al. (2019) · Plant and Cell Physiology · doi:10.1093/pcp/pcz105 · Cited by 56 · see citing works
Buti, M., Pasquariello, M., Ronga, D., Milc, J. A., Pecchioni, N., Ho, V. T., Pucciariello, C., Pierdomenico Perata, A., & Francia, E. (2018) · Functional & Integrative Genomics · doi:10.1007/s10142-018-0615-y · Cited by 54 · see citing works
Self-citationButi, M., Baldoni, E., Formentin, E., Milc, J. A., Frugis, G., Schiavo, F. L., Genga, A., & Francia, E. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20225662 · Cited by 50 · see citing works
Self-citationGenetic Dissection of Leaf Senescence in Rice
Leng, Y., Ye, G., & Zeng, D. (2017) · International Journal of Molecular Sciences · doi:10.3390/ijms18122686 · Cited by 48 · see citing works
Mohanty, B., Kitazumi, A., Cheung, C. Y. M., Lakshmanan, M., Reyes, B. G. D. L., Jang, I., & Lee, D. (2015) · Plant Science · doi:10.1016/j.plantsci.2015.09.018 · Cited by 47 · see citing works
Chen, X., Yu, T., Ali, A., et al. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20102463 · Cited by 47 · see citing works
Chen, T., Huan, W., Wu, J., et al. (2017) · The Plant Journal · doi:10.1111/tpj.13497 · Cited by 45 · see citing works
Zeng, Z., Lin, T., Zhao, J., et al. (2020) · Journal of Integrative Agriculture · doi:10.1016/s2095-3119(19)62710-3 · Cited by 45 · see citing works
Baldoni, E., Bagnaresi, P., Locatelli, F., Mattana, M., & Genga, A. (2016) · Rice · doi:10.1186/s12284-016-0098-1 · Cited by 44 · see citing works
Self-citationMeta-analysis of drought-tolerant genotypes in Oryza sativa: A network-based approach
Sircar, S., & Parekh, N. (2019) · PLoS ONE · doi:10.1371/journal.pone.0216068 · Cited by 43 · see citing works
Wei, H., Lou, Q., Xu, K., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-12020-3 · Cited by 42 · see citing works
Rice Phytochrome B (OsPhyB) Negatively Regulates Dark- and Starvation-Induced Leaf Senescence
Piao, W., Kim, E., Han, S.-H., et al. (2015) · Plants · doi:10.3390/plants4030644 · Cited by 39 · see citing works
Lenk, I., Fisher, L. H. C., Vickers, M. J., Akinyemi, A., Didion, T., Swain, M., Jensen, C., Mur, L. A. J., & Bosch, M. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20071758 · Cited by 37 · see citing works
Newly identified CSP41b gene localized in chloroplasts affects leaf color in rice
Mei, J., Li, F., Liu, X., et al. (2016) · Plant Science · doi:10.1016/j.plantsci.2016.12.005 · Cited by 31 · see citing works
Determinants of timing and amplitude in the plant general stress response
Bjornson, M., Dandekar, A. M., & Dehesh, K. (2015) · Journal of Integrative Plant Biology · doi:10.1111/jipb.12373 · Cited by 29 · see citing works
Alteration of S‐adenosylhomocysteine levels affects lignin biosynthesis in switchgrass
Bai, Z., Qi, T., Liu, Y., et al. (2018) · Plant Biotechnology Journal · doi:10.1111/pbi.12935 · Cited by 27 · see citing works
Baisakh, N., Yabes, J. C., Gutierrez, A., Mangu, V., Ma, P., Famoso, A. N., & Pereira, A. (2020) · Genes · doi:10.3390/genes11010062 · Cited by 26 · see citing works
The OsMyb4 gene family: stress response and transcriptional auto-regulation mechanisms
Baldoni, E., Genga, A., Medici, A., Coraggio, I., & Locatelli, F. (2013) · Biologia Plantarum · doi:10.1007/s10535-013-0331-3 · Cited by 25 · see citing works
Self-citationChen, M., Chen, J., Luo, N., Rongda Qu, A., Guo, Z., & Lu, S. (2018) · Plant Cell & Environment · doi:10.1111/pce.13168 · Cited by 25 · see citing works
Muthusamy, S. K., Lenka, S. K., Katiyar, A., et al. (2018) · Applied Biochemistry and Biotechnology · doi:10.1007/s12010-018-2809-0 · Cited by 23 · see citing works
Lsi1 modulates the antioxidant capacity of rice and protects against ultraviolet-B radiation
Fang, C., Li, L., Zhang, P., et al. (2018) · Plant Science · doi:10.1016/j.plantsci.2018.10.003 · Cited by 23 · see citing works
Lee, S.-Y., Jeong, H., Lee, S., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-07035-9 · Cited by 22 · see citing works
Tahmasebi, A., & Niazi, A. (2021) · Frontiers in Plant Science · doi:10.3389/fpls.2021.668736 · Cited by 22 · see citing works
Baldoni, E., Mattana, M., Locatelli, F., Consonni, R., Cagliani, L. R., Picchi, V., Abbruscato, P., & Genga, A. (2013) · Plant Physiology and Biochemistry · doi:10.1016/j.plaphy.2013.06.016 · Cited by 20 · see citing works
Self-citationTestone, G., Baldoni, E., Iannelli, M. A., et al. (2019) · Plants · doi:10.3390/plants8120531 · Cited by 17 · see citing works
Self-citation
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Emerging applications of gene editing technologies for the development of climate-resilient crops
Chavhan, R. L., Jaybhaye, S. G., Hinge, V. R., Deshmukh, A. S., Shaikh, U. S., Jadhav, P. K., Kadam, U. S., & Hong, J. C. (2025) · Frontiers in Genome Editing · doi:10.3389/fgeed.2025.1524767 · Cited by 43 · see citing works
- Authors
- Baldoni, E., Frugis, G., Martinelli, F., Benny, J., Paffetti, D., & Buti, M.
- Affiliations
- Istituto di Biologia e Biotecnologia Agraria (IT)
- University of Florence (IT)
- University of Palermo (IT)
- Corresponding author
- Baldoni, Elena
- Buti, Matteo
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2021-12-02
- Volume
- 22
- Issue
- 23
- Pages
- 13062
- ISSN
- 1422-0067 (ISSN-L)
- PMC
- PMC8657901
- OpenAlex
- W3216921533
- Cited by
- 41
- References
- 111
- Citations by year
- 2026: 7 · 2025: 13 · 2024: 6 · 2023: 8 · 2022: 7
- FWCI
- 3.15
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- International Journal of Molecular Sciences (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Florence Research (University of Florence) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- “Gruppi di Ricerca 2020” SMART-BREED Project A0375E0166, POR FESR LAZIO 2014-2020 (A0375E0166)
- “Economia Circolare (Green & Circular Economy ‐ GECE)” - FOE 2019 (MIUR), Decreto Ministeriale n. 856 del 10/10/2019 (Decreto Ministeriale n. 856 del 10/10/2019)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant Stress Responses and Tolerance
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant Molecular Biology Research
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Genetic and Environmental Crop Studies
- Keywords
- drought tolerance, cereals, Poaceae, photosynthesis, leaf senescence, jasmonic acid signaling, chlorophyll biosynthesis, secondary metabolism, transcription factors, gene regulatory networks, comparative transcriptomics
- MeSH terms
- Hordeum, Binding Sites, Edible Grain, Zea mays, Plant Proteins, Oryza, Stress, Physiological, Transcription Factors, Sequence Analysis, RNA, Gene Expression Regulation, Plant, Databases, Genetic, Gene Regulatory Networks, Droughts, Brachypodium, Protein Interaction Maps
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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