Abstract
Effective concentrations of potassium thiocyanate (KSCN) to rice seedlings were experimentally determined using relative growth rate as a sensitive endpoint. Agilent 44-K rice microarray was used to profile the molecular responses of rice seedlings exposed to thiocyanate ion (SCN−) at three different effective concentrations (EC10, EC20, and EC50). A total of 18,498 known genes were collected from SCN-treated rice microarray analysis. Out of all, 1603, 1882, and 5085 differentially expressed genes (DEGs) were observed at EC10, EC20, and EC50 concentrations, respectively. More upregulated/downregulated DEGs were detected in shoots than in roots after SCN− exposure. Gene functions and pathway enrichment analysis of DEGs indicated that different effective concentrations of SCN− resulted in multiple enriched GO categories and KEGG pathways and outcomes were quite tissue-specific. Different regulations and adaptations of gene expression in molecular function (MF), biological process (BP), and cellular components (CC) were observed in rice tissues at different effective concentrations of SCN−, suggesting their different responsive and adaptive strategies. Information collected here presents a detailed description of SCN-induced alternations of gene expression in rice seedlings and provide valuable information for further searching specific genes participating in transportation, phytotoxic responses, and detoxification of SCN− in rice seedlings.











Similar content being viewed by others
Explore related subjects
Discover the latest articles and news from researchers in related subjects, suggested using machine learning.References
Berthet S, Demont-Caulet N, Pollet B, Bidzinskia P, Cézarda L, Le Brisa P, Borrega N, Herve J, londet E, Balzergue S, Lapierre C, Jouanin L (2011) Disruption of LACCASE4 and 17 results in tissue-specific alterations to lignification of Arabidopsis thaliana stems. Plant Cell 23:1124–1137
Bhunia F, Saha NC, Kaviraj A (2000) Toxicity of thiocyanate to fish, plankton, worm and aquatic system. Bull Environ Contam Toxicol 64:197–204
Biselli C, Bagnaresi P, Cavalluzzo D, Urso S, Desiderio F, Orasen G, Gianinetti A, Righettini F, Gennaro M, Perrini R, Hassen MB, Sacchi GT, Cattivello L, Vale G (2015) Deep sequencing transcriptional fingerprinting of rice kernels for dissecting grain quality traits. BMC Genomics 16:1091
Chakrabarty D, Trivedi PK, Misra P, Tiwari M, Manju S, Shukla D, Kumar S, Rai A, Pandey A, Nigam D, Tripathi RD, Tuli R (2009) Comparative transcriptome analysis of arsenate and arsenite stresses in rice seedlings. Chemosphere 74:688–702
Chen X, Gao C, Li H, Huang L, Sun Q, Dong Y, Tian C, Gao S, Dong H, Guan D, Hu X, Zhao S, Li L, Zhu L, Yan Q, Zhang J, Zen K, Zhang CY (2010) Identification and characterisation of micro-RNAs in raw milk during different periods of lactation, commercial fluid, and powdered milk products. Cell Res 20:1128–1137
Chen JH, Jiang HW, Hsieh EJ, Chen HY, Chien CT, Hsieh HL, Lin TP (2012) Drought and salt stress tolerance of an Arabidopsis glutathione S-transferase U17 knockout mutant are attributed to the combined effect of glutathione and abscisic acid. Plant Physiol 158:340–351
Clouse RM, Carraro N (2014) A novel phylogeny and morphological reconstruction of the PIN genes and first phylogeny of the ACC-oxidases (ACOs). Front Plant Sci 5:296
Degekolbe T, Do PT, Zuther E, Respsilber D, Walther D, Dk H, Kohl KI (2009) Expression profiling of rice cultivars differeing in their tolerance to long-term drought stress. Plant Mol Biol 69:133–153
Dharmawardhana DP, Ellis BE, Carlson JE (1992) Characterization of vascular lignification in Arabidopsis thaliana. Can J Bot 70:2238–2244
Do PT, Degenkolbe T, Erban A, Heyer AG, Kopka J, Kohl KI, Hincha DK, Zuther E (2013) Dissecting rice polyamine metabolism under controlled long-term drought stress. PLoS One 8:e60325
Ebbs SD, Piccinin RC, Goodger JQD, Kolev SD, Woodrow IE, Baker AJM (2008) Transport of ferrocyanide by two eucalypt species and sorghum. Int J Phytorem 10:343–357
Han M, Wong J, Su T, Heatty PH, Good AG (2016) Identification of nitrogen use efficiency genes in barley: searching for QTLs controlling complexing physiological traits. Front Plant Sci 7:1587
Hasanuzzaman H, Fujita M (2013) Exogenous sodium nitroprusside alleviates arsenic-induced stress in wheat (Triticum aestivum L.) seedlings by enhancing antioxidant defense and glyoxalase system. Ecotoxicology 22:584–596
Hsieh LS, Hsieh YL, Yeh CH, Cheng CY, Yang CC, Lee PD (2011) Molecular characterization of a phenylalanine ammonia-lyase gene (BOPAL1) from Bambusa oldhamii. Mol Bol Rep 130:796–807
Huang L, Zhang F, Zang F, Wang W, Zhou Y, Fu B, Li Z (2014) Comparative transcriptome sequencing of tolerant rice introgression line and its parents in response to drought stress. BMC Genomics 15:1026
Huang WK, Ji HL, Gheysen G, Debode J, Kyndt T (2015) Biochar-amended potting medium reduces the susceptibility of rice to root-knot nematode infections. BMC Plant Biol 15:267
Hussain S, Yin H, Peng S, Khan FA, Khan F, Sameeullah M, Hussain HA, Huang J, Cui K, Nie L (2016) Comparative transcriptional profiling of primed and non-primed rice seedlings under submergence stress. Front Plant Sci 7:1125
Iwai T, Miyasaka A, Seo S, Ohashi Y (2006) Contribution of ethylene biosynthesis for resistance to blast fungus infection in young rice plants. Planta 142:1202–1215
Jeong YS, Chung JS (2006) Biodegradation of thiocyanate in biofilm reactor using fluidized-carriers. Process Chem 41:701–707
Katayama Y, Hashimoto K, Nakayama H, Mino H, Nojiri M, Ono TA, Nyunoya H, Yohda M, Takio K, Odaka M (2006) Thiocyanate hydrolyase is a cobalt-containing metalloenzyme with a cysteine-sulfinic acid ligand. J Am Chem Soc 128:728–729
Kumar M, Cho YS, Jung KH, Kim SR (2017) Genome-wide identification and analysis of genes, conserved between Japonica and indica rice cultivars, that respond to low-temperature stress at the vegetative growth stage. Front Plant Sci 8:1120
Lee D, Douglas CJ (1996) Two divergent members of a tobacco 4-coumarate: coenzyme a ligase (4CL) gene family. Plant Physiol 112:193–205
Lee D, Ellard M, Wanner LA, Davis KR, Douglas CJ (1995) The Arabidopsis thaliana 4-coumarate: COA ligase (4CL) gene: stress and developmentally regulated expression and nucleotide sequence of its cDNA. Plant Mol Biol 28:871–884
Liu Q, Zheng L, He F, Zhao FJ, Shen Z, Zheng L (2015) Transcriptional and physiological analyses identify a regulatory role for hydrogen peroxide in the lignin biosynthesis of copper-stressed rice roots. Plant Soil 387:323–336
Livak KJ, Schmittgen TD (2001) Analysis of relative gene expression data using real time quantitative PCR and the 2−ΔΔCT method. Methods 25:402–408
Mishra S, Jha AB, Dubey RS (2011) Arsenite treatment induces oxidative stress, upregulates antioxidant system, and causes phytochelatin synthesis in rice seedlings. Protopplasma 248:565–577
Moumeni A, Satoh K, Hondoh H, Asano T, Hosaka A, Venuprasad R, Serraj R, Kumar A, Leung H, Kikuchi S (2011) Comparative analysis of roots transcriptome profiles of two pairs of drought-tolerant and susceptible rice near-isogenic lines under different drought stress. BMC Plant Biol 11:174
Nouri MZ, Moumeni A, Komatsu S (2015) Abiotic stresses: insight into gene regulation and protein expression in photosynthesis pathways of plants. Int J Mol Sci 16:20392–20,416
Peremarti A, Bassie L, Zhu C, Christou P, Capell T (2010) Molecular characterization of the Arginine decarboxylase gene family in rice. Transgenic Res 19:785–797
Sun H, Li Y, Feng S, Zou W, Guo K, Fan C, Si S, Peng L (2013) Analysis of five rice 4-counarate: coenzyme A ligase enzyme activity and stress response for potential roles in lignin and flavonoid biosynthesis in rice. Biochem Bioph Res Co 430:1151–1156
Teerawanichpan P, Chandrasekharan MB, Jiang Y, Narangajavana J, Hall TC (2004) Characterization of two rice DNA methyltransferases and RNAi-mediated restoration of promoter activity in silenced rice callus. Planta 218:337–349
Tripathi AK, Pareek A, Sopory SK, SIngla-Pareek SL (2012) Narrowing down the targets for yield improvement in rice under normal and abiotic stress conditions via expression profiling of yield-related genes. Rice 5:37
Wang X, Li Y, Fang G, Zhao Q, Zeng Q, Li X, Gong H, Li Y (2014) Nitrite promotes the growth and decreases the lignin content of indica rice calli: a comprehensive transcriptome analysis of nitrite-responsive genes during in vitro culture of rice. PLoS One 9:e95105
Wang CH, Yu Y, Cai YX, Zhu PP, Liu CY, Zhao AC, Lu RH, Li MJ, Xu PX, Yu MD (2016) Characterization and functional analysis of 4-coumarate: CoA ligase genes in mulberry. PLoS One 15:e0155814
Xu W, Di C, Zhou S, Liu J, Li L, Liu F, Yang X, Ling Y, Su Z (2015) Rice transcriptome analysis to identify possible herbicide quinclorac detoxification genes. Front Plant Sci 6:306
Yang YW, Chen HC, Jen WF, Liu LY, Chang MC (2015) Comparative transcriptome analysis of shoots and roots of TNG67 and TCN1 rice seedlings under cold stress and following subsequent recovery: insights into metabolic pathways, phytohormones, and transcription factors. PLoS One 10:e0131391
Yu XZ, Zhang FZ (2013) Effects of exogenous thiocyanate on mineral nutrients, antioxidative responses and free amino acids in rice seedlings. Ecotoxicology 22:752–760
Yu XZ, Lin YJ, Lu CJ, Gupta DK (2018a) Microarray-based expression analysis of phytohormone-related genes in rice seedlings during cyanide metabolism. Environ Sci Pollut Res 25:19701–19,712
Yu XZ, Lu CJ, Li YH (2018b) Role of cytochrome c in modulating chromium-induced oxidative stress in Oryza sativa. Environ Sci Pollut Res 25:27639–27,649
Yun MS, Chen W, Deng F, Yogo Y (2008) Differential properties of 4-coumarate: CoA ligase related to growth suppression by chalcone in maize and rice. Plant Growth Regul 46:169–176
Zar JH (1999) Biostatistical analysis, 4th edn. Prentice Hall, Upper Saddle River, pp 231–261
Funding
This work was financially supported by the National Natural Science Foundation of China (No: 41761094), Guangxi Science and Technology Planning Project under Grant No. GuiKe-AD18126018 and the Guangxi Talent Highland for Hazardous Waste Disposal Industrialization.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
Xiao-Zhang Yu has received the grants from the National Natural Science Foundation of China. The other authors, Yu-Juan Lin and Qing Zhang, declare that they have no conflict of interest.
Ethical approval
This article does not contain any studies with human participants or animals performed by any of the authors.
Additional information
Responsible editor: Gangrong Shi
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
ESM 1
(DOC 60 kb)
Rights and permissions
About this article
Cite this article
Lin, YJ., Yu, XZ. & Zhang, Q. Transcriptome analysis of Oryza sativa in responses to different concentrations of thiocyanate. Environ Sci Pollut Res 26, 11696–11709 (2019). https://doi.org/10.1007/s11356-019-04544-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-019-04544-0


