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[해외논문] Transcriptome profiling of abiotic responses to heat, cold, salt, and osmotic stress of Capsicum annuum L. 원문보기

Scientific data, v.7 = v.7 no.1, 2020년, pp.17 -   

Kang, Won-Hee (Institute of Agriculture & Life Science, Gyeongsang National University, Jinju, 52828 Republic of Korea) ,  Sim, Young Mi (Korean Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, 34141 Republic of Korea) ,  Koo, Namjin (Korean Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, 34141 Republic of Korea) ,  Nam, Jae-Young (Institute of Agriculture & Life Science, Gyeongsang National University, Jinju, 52828 Republic of Korea) ,  Lee, Junesung (Department of Agricultural Plant Science, Division of Applied Life Science (BK21 Plus Program), Gyeongsang National University, Jinju, 52828 Republic of Korea) ,  Kim, Nayoung (Department of Agricultural Plant Science, Division of Applied Life Science (BK21 Plus Program), Gyeongsang National University, Jinju, 52828 Republic of Korea) ,  Jang, Hakgi (Department of Agricultural Plant Science, Division of Applied Life Science (BK21 Plus Program), Gyeongsang National University, Jinju, 52828 Republic of Korea) ,  Kim, Yong-Min (Korean Bioinformation Center, Korea Research Institute of B) ,  Yeom, Seon-In

Abstract AI-Helper 아이콘AI-Helper

Peppers (Capsicum annuum L.), belonging to the Solanaceae family, are one of the most economically important crops globally. Like other crops, peppers are threatened by diverse environmental conditions due to different pathogens and abiotic stresses. High-quality reference genomes with massive datas...

참고문헌 (30)

  1. 1. Zhu JK Abiotic stress signaling and responses in plants Cell 2016 167 313 324 27716505 

  2. 2. Coolen S Transcriptome dynamics of Arabidopsis during sequential biotic and abiotic stresses Plant J. 2016 86 249 267 10.1111/tpj.13167 26991768 

  3. 3. Rasmussen S Transcriptome responses to combinations of stresses in Arabidopsis Plant Physiol. 2013 161 1783 1794 10.1104/pp.112.210773 23447525 

  4. 4. Cohen SP Leach JE Abiotic and biotic stresses induce a core transcriptome response in rice Sci. Rep. 2019 9 6273 10.1038/s41598-019-42731-8 31000746 

  5. 5. Ma J Transcriptomics analyses reveal wheat responses to drought stress during reproductive stages under field conditions Front. Plant Sci. 2017 8 592 10.3389/fpls.2017.00592 28484474 

  6. 6. Liu Z Temporal transcriptome profiling reveals expression partitioning of homeologous genes contributing to heat and drought acclimation in wheat ( Triticum aestivum L.) BMC Plant Biol. 2015 15 152 10.1186/s12870-015-0511-8 26092253 

  7. 7. Gong L Transcriptome profiling of the potato ( Solanum tuberosum L.) plant under drought stress and water-stimulus conditions PLoS One 2015 10 e0128041 10.1371/journal.pone.0128041 26010543 

  8. 8. Kang WH Yeom SI Genome-wide Identification, classification, and expression analysis of the receptor-like protein family in tomato Plant Pathol. J. 2018 34 435 444 30369853 

  9. 9. Kim S New reference genome sequences of hot pepper reveal the massive evolution of plant disease-resistance genes by retroduplication Genome Biol. 2017 18 210 10.1186/s13059-017-1341-9 29089032 

  10. 10. Kim MS Global gene expression profiling for fruit organs and pathogen infections in the pepper Capsicum annuum L. Sci. Data 2018 5 180103 10.1038/sdata.2018.103 29870035 

  11. 11. Kang WH Kim S Lee HA Choi D Yeom SI Genome-wide analysis of Dof transcription factors reveals functional characteristics during development and response to biotic stresses in pepper Sci. Rep. 2016 6 33332 10.1038/srep33332 27653666 

  12. 12. Dang FF CaWRKY40, a WRKY protein of pepper, plays an important role in the regulation of tolerance to heat stress and resistance to Ralstonia solanacearum infection Plant Cell Environ. 2013 36 757 774 10.1111/pce.12011 22994555 

  13. 13. Kim SY Identification of a CaRAV1 possessing an AP2/ERF and B3 DNA-binding domain from pepper leaves infected with Xanthomonas axonopodis pv. glycines 8ra by differential display Biochim. Biophys. Acta 2005 1729 141 146 10.1016/j.bbaexp.2005.04.009 15978683 

  14. 14. Park CJ Pathogenesis-related protein 10 isolated from hot pepper functions as a ribonuclease in an antiviral pathway Plant J. 2004 37 186 198 10.1046/j.1365-313X.2003.01951.x 14690503 

  15. 15. Zhong S High-throughput illumina strand-specific RNA sequencing library preparation Cold Spring Harb. Protoc. 2011 2011 940 949 10.1101/pdb.prot5652 21807852 

  16. 16. Martin M Cutadapt removes adapter sequences From high-throughput sequencing reads. EMBnet Journal 2011 17 10 12 

  17. 17. Patel RK Jain M NGS QC Toolkit: a toolkit for quality control of next generation sequencing data PLoS One 2012 7 e30619 10.1371/journal.pone.0030619 22312429 

  18. 18. Ewels P Magnusson M Lundin S Kaller M MultiQC: summarize analysis results for multiple tools and samples in a single report Bioinformatics 2016 32 3047 3048 10.1093/bioinformatics/btw354 27312411 

  19. 19. Kim S 2017 Capsicum annuum cultivar CM334, whole genome shotgun sequencing project GenBank AYRZ00000000 

  20. 20. Kim D Langmead B Salzberg SL HISAT: a fast spliced aligner with low memory requirements Nat. Methods 2015 12 357 360 10.1038/nmeth.3317 25751142 

  21. 21. Liao Y Smyth GK Shi W featureCounts: an efficient general purpose program for assigning sequence reads to genomic features Bioinformatics 2014 30 923 930 10.1093/bioinformatics/btt656 24227677 

  22. 22. Robinson MD Oshlack A A scaling normalization method for differential expression analysis of RNA-seq data Genome Biol. 2010 11 R25 10.1186/gb-2010-11-3-r25 20196867 

  23. 23. Sollner JF An RNA-Seq atlas of gene expression in mouse and rat normal tissues Sci. Data 2017 4 170185 10.1038/sdata.2017.185 29231921 

  24. 24. Robinson MD McCarthy DJ Smyth GK edgeR: a Bioconductor package for differential expression analysis of digital gene expression data Bioinformatics 2010 26 139 140 10.1093/bioinformatics/btp616 19910308 

  25. 25. Kolde, R. pheatmap: Pretty Heatmaps , https://CRAN.R-project.org/package=pheatmap (2015). 

  26. 26. Yu, G., Wang, L. G., Han, Y. & He, Q. Y. ClusterProfiler: an R package for comparing biological themes among gene clusters. OMICS 16 , 284?287?(2012). 

  27. 27. Kang WH 2019 Transcriptome profiling of abiotic responses to heat, cold, salt, and osmotic stress of Capsicum annuum L figshare 10.6084/m9.figshare.10264832.v5 

  28. 28. Wickham, H. ggplot2: elegant graphics for data analysis. Springer-Verlag New York (2009). 

  29. 29. 2019 NCBI Sequence Read Archive SRP187794 

  30. 30. 2019 NCBI Gene Expression Omnibus GSE132824 

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