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Acta Agronomica Sinica ›› 2021, Vol. 47 ›› Issue (6): 1070-1081.doi: 10.3724/SP.J.1006.2021.04133

• SPECIAL SECTION: GENOMICS AND GENETIC IMPROVEMENT IN MAIN BAST FIBER CROPS • Previous Articles     Next Articles

Transcriptome profiling of flax (Linum usttatissimum L.) response to low potassium stress

HUANG Wen-Gong1(), JIANG Wei-Dong1, YAO Yu-Bo1, SONG Xi-Xia1, LIU Yan1, CHEN Si1, ZHAO Dong-Sheng1, WU Guang-Wen1, YUAN Hong-Mei1, REN Chuan-Ying2, SUN Zhong-Yi3, WU Jian-Zhong4, KANG Qing-Hua1,*()   

  1. 1Institute of Industrial Crops, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, Heilongjiang, China
    2Food Processing Institute, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, Heilongjiang, China
    3Institute of Animal Husbandry Research, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, Heilongjiang, China
    4Institute of Forage and Grassland Science, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, Heilongjiang, China
  • Received:2020-06-22 Accepted:2020-11-13 Online:2021-06-12 Published:2020-12-15
  • Contact: KANG Qing-Hua E-mail:huangwengong1736@163.com;qinghuakang111@163.com
  • Supported by:
    The National Key Research and Development Program of China(2018YFD0201100);The Heilongjiang Province Modern Agricultural Industry Technology Collaborative Innovation System-Hemp (medicinal) Resources Genetic Improvement and Innovative Utilization Collaborative Innovation Post(YYM19SQ-24);The China Agriculture Research System(CARS-16-E04);The Science and Technology Innovation Project of Heilongjiang Academy of Agricultural Sciences(2019JCQN003);The Science and Technology Innovation Project of Heilongjiang Academy of Agricultural Sciences(HNK2019CX08-05)

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Abstract:

Potassium (K) is an essential element for the growth and development in flax. Transcriptome sequencing and qRT-PCR were used to investigate the regulation of differential gene expression after 12 h and 96 h of low-K + treatment. The results showed that the leaf edge of flax treated with low-K + for 7 days turned yellow, and the plants were dwarfed compared with the control. LusKC1 (Lus K channel 1), LusSKOR (Lus STELAR K + outward rectifier) and LusHAK5 (Lus high affinity K + transporter 5) were detected to respond to low-K + with response peak time of 12 h and 96 h. Compared with the control, 1154 differentially expressed genes (DEGs) (508 up-regulated and 646 down-regulated genes) were identified in low-K + treatment for 12 h. GO enrichment showed that DEGs were mainly concentrated on five categories: metabolic process, cellular process, single biological process, catalytic activity and binding function. KEGG pathway enrichment showed that DEGs involved in energy metabolism, carbohydrate metabolism, carbon metabolism, amino acid metabolism, terpenoid metabolism and plant hormone signal transduction pathways. Furthermore, 7 genes directly related to K (4K transporters, 2K channel proteins and 1 sodium-potassium-calcium exchanger protein), 13 genes related to hormone and 6 genes related to cellulose synthesis were screened. Among the 7 genes directly related to K, the relative expression of 2 genes were up-regulated by 1.75 and 2.64 times and 5 genes down-regulated by 1.21-9.57 times. In summary, DEGs preliminarily revealed the transcriptional regulation pathway involved in low-K + in flax, which laid a foundation for cloning and functional verification of flax low-K + tolerance related genes.

Key words: flax, low potassium, transcriptome profiling, differentially expressed genes

Table 1

Primers used for qRT-PCR in this study"

引物名称
Primers		 正向引物
Forward primers (5'-3')		 反向引物
Reverse primers (5'-3')
LusKC1-1 CATTGTCCTCACTTTCTTTGTCGC CGAACCATGGCTTAGTGAGATACC
LusKC1-2 CATTGTCCTCACTTTCTTTGTCGC TAGATGAACTGAAACGGTAGGGTG
LusKC1-3 CGACTTGGCGGTGGATGCTT TAGATGAACTGAAACGGTAGGGTG
LusSKOR-1 GTCTCGTCATTCATCCCGACAACA CCAACAATGTCCAAAATGAAGAGAT
LusSKOR-2 GTCTCGTCATTCATCCCGACAACA TAATCCCCTGAAGAATCCAAACTCC
LusSKOR-3 TTCCATCACGTCTCCACCGGT TAATCCCCTGAAGAATCCAAACTCC
LusAKT2-1 TTCATAAACGGAGGTCATCTCTTCT GACAATCTCAGCAGCATAAAGCCTC
LusAKT2-2 TTCATAAACGGAGGTCATCTCTTCT TCAGGCTTAAGATCTCGATGCACAA
LusAKT2-3 GTCATCCATCCTTTCATCGTCCAGC GACAATCTCAGCAGCATAAAGCCTC
LusHAK5-1 GTTTCCAAGACAACACAAGGCG GATGTTCCGATGTCGCCGTA
LusHAK5-2 GTTTCCAAGACAACACAAGGCG ATGTCGCCGTAGACCACTCCA
LusHAK5-3 CCAAGACAACACAAGGCGGC GATGTTCCGATGTCGCCGTA
LusKUP2-1 TGTTCAAGTATGTGTTCATTGTTCT GGACAATGATTCATCTGAGACCTGC
LusKUP2-2 TGTTCAAGTATGTGTTCATTGTTCT TGATTCATCTGAGACCTGC
LusKUP2-3 GCTGATGACAATGGAGAGGGT GCAAACAAGGCTACCAGTATGAT
LusKUP3-1 CACCCCTGCCCTTTCTGTTT TAGATGAACTGAAACGGTAGGGTG
LusKUP3-2 CACCCCTGCCCTTTCTGTTT TATGATGCATGTAGCTGGGAGT
LusKUP3-3 CTTGCTGGTTTTGGCGTT GCAAACAAGGCTACCAGTATGAT
LusKUP12-1 TGGTGGGACTATGAGGAGGAG CCATGTCGCCATAGACCACT
LusKUP12-2 TGGTGGGACTATGAGGAGGAG ACTCCAAGCGTTTGAAAGGC
LusKUP12-3 AGGAGGAGGTTGGTGAAGAAG CCATGTCGCCATAGACCACT
LusKEA5-1 ATGAGAAGGGCAAGAAAAATGA GACGTTATCCTTTTTGTCAATGA
LusKEA5-2 ATGAGAAGGGCAAGAAAAATGA CAGCACAGGATATTTAGATTTCTTG
LusKEA5-3 AGGGCAAGAAAAATGACACACA GACGTTATCCTTTTTGTCAATGA
LusCHX17-1 CTCACTCGCATCCTCGCTTT ACTGTGAGAGACTTATGTGGGAA
LusCHX17-2 CTCACTCGCATCCTCGCTTT TATGTGGGAAGATAGTGTTGAGG
LusCHX17-3 ATCCTCGCTTTCCTCCTC ACTGTGAGAGACTTATGTGGGAA
LusEF1A GCTGCCAACTTCACATCTCA GATCGCCTGTCAATCTTGGT
LusUBI CCTCCTTGATAGCAGCCTTG CTCCGTGGAGGTATGCAGAT
LusTUA CCTGTTGGGAGCTTTACTGC AAGGTGTTGAAGGCATCGTC
LusEF2 GTGGTGCTGAGATCACGAAA AGACGGTTATGCTTGTTGGG
LusActin GGTGTTATGGTTGGAATGGGTC CCTCAGTGAGAAGTACAGGGTG

Fig. 1

Plant phenotype of before and after treatment of low-K+ in flax A: growth in vermiculite; B: plant phenotype before treatment; C: growth condition of control and treatment under low-K+ stress; D: plant phenotypes of low-K+ and control plants after treatment; E: single plant phenotype of low-K+ and control after treatment. a: plant phenotype under low-K+; b: plant phenotype of control."

Fig. 2

Screening of marker genes for low-K+ stress in flax M: DL2000; 1: LusKC1-1; 2: LusKC1-2; 3: LusKC1-3; 4: LusSKOR-1; 5: LusSKOR-2; 6: LusSKOR-3; 7: LusAKT2-1; 8: LusAKT2-2; 9: LusAKT2-3; 10: LusHAK5-1; 11: LusHAK5-2; 12: LusHAK5-3; 13: LusKUP2-1; 14: LusKUP2-2; 15: LusKUP2-3; 16: LusKUP3-1; 17: LusKUP3-2; 18: LusKUP3-3; 19: LusKUP12-1; 20: LusKUP12-2; 21: LusKUP12-3; 22: LusKEA5-1; 23: LusKEA5-2; 24: LusKEA5-3; 25: LusCHX17-1; 26: LusCHX17-2; 27: LusCHX17-3; 28: LusEF1A; 29: LusUBI; 30: LusTUA; 31: LusEF2; 32: LusActin."

Fig. 3

Effects of different time on the relative expression of LusKC1, LusSKOR, and LusHAK5 under low-K+ treatment in flax Different lowercase letters mean significant differences at the 0.05 probability level during the same gene."

Table 2

Main characteristics of 12 transcriptome data in flax"

样品
Sample		 总的原始读数
Total raw reads (Mb)		 总的过滤读数
Total clean reads (b)		 比对读数
Compared reads		 比对特异性
Compared specificity (%)		 比对基因Compared genes
12h-CK-1 38.07 36,976,258 32,381,211 87.57% 82.01 35,281
12h-CK-2 38.07 36,547,552 31,737,232 86.84% 81.82 34,782
12h-CK-3 38.07 36,309,778 31,468,060 86.67% 80.67 35,320
12h-KS-1 38.07 36,507,590 32,071,565 87.85% 83.38 35,352
12h-KS-2 38.07 36,763,226 32,059,054 87.20% 81.62 35,351
12h-KS-3 38.07 36,513,816 31,749,080 86.95% 81.41 35,429
96h-CK-1 38.07 36,886,386 32,109,249 87.05% 81.79 35,608
96h-CK-2 38.07 36,515,094 31,576,196 86.47% 81.72 35,270
96h-CK-3 38.07 36,494,576 31,449,058 86.17% 81.15 35,260
96h-KS-1 38.07 36,956,330 32,146,308 86.98% 81.33 35,807
96h-KS-2 38.07 36,737,316 32,133,744 87.47% 82.20 36,263
96h-KS-3 38.07 36,409,348 31,493,300 86.50% 81.31 35,141

Fig. 4

Venn diagram of DEGs under low-K+ in flax A: the number of DEGs at 12 h and 96 h after low-K+ treatment in flax; B: the number of DEGs in control and low-K+ treatment."

Fig. 5

GO enrichment of the DEGs under low-K+ treatment after 12 h in flax"

Fig. 6

KEGG pathway enrichment of the DEGs under low-K+ treatment after 12 h in flax"

Table 3

Screening of 7 genes directly related to low-K+ treatment in flax"

基因收录号
Gene ID		 基因名称
Gene name		 KS/CK的log2值
log2 FC		 注释
Annotation
MSTRG.20565.1 Potassium transporter 5-like 2.64 钾转运蛋白Potassium transporter
MSTRG.24915.2 Potassium transporter, putative -1.21 钾转运蛋白Potassium transporter
MSTRG.10817.1 Hypothetical protein EUGRSUZ_E04300 -1.23 钾转运蛋白Potassium transporter
MSTRG.6817.1 Potassium transporter 7-like -9.57 钾转运蛋白Potassium transporter
MSTRG.4695.1 Uncharacterized protein isoform 2 1.75 钾电压通道Potassium voltage-gated channel
MSTRG.30540.1 Potassium channel SKOR-like isoform X1 -1.40 钾通道Potassium channel
MSTRG.14498.2 Nucleolar protein nop56, putative -3.01 钠钾钙交换器Sodium potassium calcium exchanger

Fig. S1

Signal transduction and ion transporter regulation in responses to low-K+ stress in flax [22] a: plant phenotype of low-K+ treatment; b: plant phenotype of control. Plants are able to perceive external low-K+ stress and generate low-K+ signals in plant cells. The signals (Ca2+, ROS, etc.) can be transducted in cytosol, and eventually regulate the downstream targets (particularly K+ channels and transporters) at transcriptional and posttranslational levels. P represents phosphorylation and X indicates inhibition effect."

Table 4

Screening of 13 hormone related genes under low-K+ treatment in flax"

激素种类
Hormone kinds		 基因登录号
Gene ID		 基因名称
Gene name		 KS/CK的log2值
log2 FC		 注释
Annotation
Auxin MSTRG.4702.1 AUX -1.44 生长素诱导蛋白Auxin-induced protein
MSTRG.13772.1 AUX -1.51 生长素诱导蛋白Auxin-induced protein
MSTRG.7397.8 TIR 8.52 Toll/interleukin-1受体Toll/interleukin-1 receptor
MSTRG.6782.4 ARF 9.62 含家族蛋白的ARF-GTPase激活域
ARF GTPase-activating domain-containing family protein
MSTRG.29326.1 GH3 -3.02 吲哚-3-乙酸酰胺合成酶GH3
Indole-3-acetic acid-amido synthetase GH3
MSTRG.14003.4 GH3 -3.58 吲哚-3-乙酸酰胺合成酶GH3
Indole-3-acetic acid-amido synthetase GH3
Cytokinine MSTRG.25736.1 AHP1 -1.81 含组氨酸磷酸转移蛋白1
Histidine-containing phosphotransfer protein 1
Ethylene MSTRG.16160.5 CTR1 -6.23 丝氨酸/苏氨酸蛋白激酶CTR1亚型X1
Serine/threonine-protein kinase CTR1 isoform X1
MSTRG.19624.1 CTR1 -1.90 丝氨酸/苏氨酸蛋白激酶CTR1亚型X1
Serine/threonine-protein kinase CTR1 isoform X1
MSTRG.15232.4 CTR1 -7.72 丝氨酸/苏氨酸蛋白激酶CTR1亚型X1
Serine/threonine-protein kinase CTR1 isoform X1
MSTRG.36331.6 EIN2 -10.02 假定蛋白Hypothetical protein
MSTRG.40444.1 EBF1 -1.20 假定蛋白Hypothetical protein
MSTRG.12066.1 EBF1 -3.10 假定蛋白Hypothetical protein

Fig. S2

Genes related to auxin, cytokinin and ethylene synthesis pathway under low-K+ in flax [23] a: plant phenotype of low-K+ treatment; b: plant phenotype of control. Rectangular boxes indicate proteins be involved in these pathways. Protein-protein interactions are represented by arrows. Arrows represent an activation, bar-headed lines an inhibition, crossed lines a dissociation, dotted arrows an indirect effect, +u denotes ubiquitination."

Table 5

Screening of 6 genes directly related to cellulose under low-K+ in flax"

基因收录号
Gene ID		 基因名称
Gene name		 KS/CK的log2值
log2 FC		 注释
Annotation
MSTRG.20574.4 Exo70 -8.70 胞外复合蛋白Exocyst complex protein
MSTRG.29262.1 Exo70 -2.13 胞外复合蛋白Exocyst complex protein
MSTRG.16464.2 COB23 -2.03 外被体亚单位Coatomer beta subunit
MSTRG.16464.1 COB23 -1.73 外被体亚单位Coatomer beta subunit
MSTRG.18050.1 COB21 -1.94 外被体亚单位Coatomer beta subunit
MSTRG.5636.3 FEI1 -1.86 双特异性蛋白激酶Dual specificity protein kinase

Fig. S3

Genes related to cellulose synthesis pathway under low-K+ in flax [24] "

Fig. 7

Correlations between RNA-Seq and qRT-PCR"

[1] 中国农业科学院土壤肥料研究所. 中国化肥区划. 北京: 中国农业科技出版社, 1986. pp 13-15.
Institute of Soil and Fertilizer, Chinese Academy of Agricultural Sciences. Fertilizer Regionalization in China. Beijing: China Agricultural Science and Technology Press, 1986. pp 13-15(in Chinese).
[2] 国家统计局农村社会经济调查司. 中国农村统计年鉴. 北京: 中国统计出版社, 2012. pp 270-271.
Department of Rural Social and Economic Investigation, National Bureau of Statistics. China Rural Statistical Yearbook. Beijing: China Statistics Press, 2012. pp 270-271(in Chinese).
[3] 亓昭英, 屈小荣, 马锁立, 商立鹏. 2018年我国钾肥行业运行报告及发展预测. 磷肥与复肥, 2019,34(2):1-4.
Qi S Y, Qu X R, Ma S L, Shang L P. Operation report and development prediction of Chinese potassium fertilizer industry in 2018. Phosphate Fert Comp Fert, 2019,34(2):1-4 (in Chinese with English abstract).
[4] 刘国栋, 刘更另. 籼稻耐低钾基因型的筛选. 作物学报, 2002,28:161-166.
Liu G D, Liu G L. Screening of low potassium tolerance genotypes in indica rice. Acta Agron Sin, 2002,28:161-166 (in Chinese with English abstract).
[5] Wang Y, He L, Li H D, Xu J, Wu W H. Potassium channel a-subunit At KC1 negatively regulates AKT1-mediated K + uptake in Arabidopsis roots under low-K + stress . Cell Res, 2010,20:826-837.
[6] Schachtman D P, Shin R. Nutrient sensing and signaling: NPKS. Annu Rev Plant Biol, 2007,58:47-69.
[7] Leigh R A, Wyn Jones R G. A hypothesis relating critical potassium concentrations for growth to the distribution and function of this ion in the plant cell. New Phytol, 1984,97:1-13.
[8] Clarkson D T, Hanson J B. The mineral nutrition of higher plants. Ann Rev Plant Physiol, 1980,31:239-298.
[9] Lester G E. Whole plant applied potassium: effects on cantaloupe fruit sugar content and related human wellness compounds. Acta Hortic, 2005,682:487-492.
[10] Rubio F, Santa M G E, Rodríguez N A. Cloning of Arabidopsis, and barley cDNAs encoding HAK potassium transporters in root and shoot cells. Physiol Plant, 2010,109:34-43.
[11] Bañuelos M A, Garciadeblas B, Cubero B, Rodríguez N A. Inventory and functional characterization of the HAK potassium transporters of rice. Plant Physiol, 2002,130:784-795.
[12] Wang Y H, Garvin D F, Kochian L V. Rapid induction of regulatory and transporter genes in response to phosphorus, potassium, and iron deficiencies in tomato roots. Evidence for cross talk and root/rhizosphere-mediated signals. Plant Physiol, 2002,130:1361-1370.
[13] Voelker C, Schmidt D, Czempinski K, Czempinski K. Members of the Arabidopsis AtTPK/KCO family form homomeric vacuolar channels in planta. Plant J, 2006,48:296.
[14] Munns R, Tester M. Mechanisms of salinity tolerance. Annu Rev Plant Biol, 2008,59:651-681.
[15] Xu J, Li H D, Chen L Q, Wang Y, Liu L L. A protein kinase, interacting with two calcineurin B-like proteins, regulates K + transporter AKT1 in Arabidopsis . Cell, 2006,125:1347-1360.
[16] Lan W Z, Lee S C, Che Y F, Jiang Y Q, Luan S. Mechanistic analysis of AKT1 regulation by the CBL-CIPK-PP2CA interactions. Mol Plant, 2011,4:527-536.
[17] Mao J, Nuruzzaman M S M, Shi S, Chao J T, Jin Y R, Wang Q, Liu H B. Mechanisms and physiological roles of the CBL-CIPK networking system in Arabidopsis thaliana. Genes, 2016,7:62.
[18] Munson R D. Potassium in Agriculture. Madison: ASA/CSSA/SSSA. 1985. pp 754-794.
[19] Wang Z W, Hobson N, Galindo L, Zhu S L, Shi D H, McDill J, Yang L F, Hawkins S, Neutelings G, Datla R, Lambert G, Galbraith D W, Grassa C J, Geraldes A, Cronk Q C, Cullis C, Dash P K, Kumar P A, Cloutier S, Sharpe A G, Wong G K, Wang J, Deyholos M K. The genome of flax (Linum usitatissimum) assembled de novo from short shotgun sequence reads. Plant J, 2012,72:461-473.
[20] Wu J Z, Zhao Q, Zhang L Y, Ma Y H, Pan L Y, Lin H, Wu G W, Yuan H M, Yu Y, Wang X, Yang X, Li Z G, Jiang T B, Sun D Q. QTL Mapping of fiber-related traits based on a high-density genetic map in flax (Linum usitatissimum L.). Front Plant Sci, 2018,9:885-894.
[21] Huang W G, Zhang S Q, Wu G W, Yu Y, Ren C Y, Kang Q H, Liu Y, Liang C B, Zhang L G, Zhan Y G. Transcriptome profiling of potassium starvation responsiveness in flax (Linum usitatissimum L.). Pak J Bot, 2019,51:865-878.
[22] Wang Y, Wu W H. Regulation of potassium transport and signaling in plants. Curr Opin Plant Biol, 2017,39:123-128.
[23] Ruben P F, Manuel B. A review of the effects of soil organisms on plant hormone signalling pathways. Environ Exp Bot, 2015,114:104-116.
[24] Joanna K P, Joseph J K. The regulation of cellulose biosynthesis in plants. Plant Cell, 2019,31:282-296.
pmid: 30647077
[25] Armengaud P, Breitling R, Amtmann A. The potassium- dependent transcriptome of Arabidopsis reveals a prominent role of jasmonic acid in nutrient signaling. Plant Physiol, 2004,136:2556-2576.
[26] Cakmak I, Hengeler C, Marschner H. Partitioning of shoot and root dry matter and carbohydrates in bean plants suffering from phosphorus, potassium and magnesium deficiency. J Exp Bot, 1994,45:1245-1250.
[27] Jung J Y, Shin R, Schachtman D P. Ethylene mediates response and tolerance to potassium deprivation in Arabidopsis. Plant Cell, 2009,21:607-621.
pmid: 19190240
[28] Fan M L, Huang Y, Zhong Y Q, Kong Q S, Xie J J, Niu M L, Xu Y, Bie Z L. Comparative transcriptome profiling of potassium starvation responsiveness in two contrasting watermelon genotypes. Planta, 2014,239:397-410.
doi: 10.1007/s00425-013-1976-z pmid: 24185372
[29] Wang X P, Chen L M, Liu W X. AtKC1 and CIPK23 synergistically modulate AKT1-mediated low-potassium stress responses in Arabidopsis. Plant Physiol, 2016,170:2264-2277.
[30] Ahmad I, Mian A, Maathuis F J M. Overexpression of the rice AKT1 potassium channel affects potassium nutrition and rice drought tolerance. J Exp Bot, 2016,67:2689-2698.
[31] Zhang H, Yin W, Xia X. Shaker-like potassium channels in Populus, regulated by the CBL-CIPK signal transduction pathway, increase tolerance to low-K + stress . Plant Cell Rep, 2010,29:1007-1012.
[32] Zhao S, Zhang M L, Ma T L. Phosphorylation of ARF2 relieves its repression of transcription of the K + transporter gene HAK5 in response to low potassium stress . Plant Cell, 2016,28:3005-3019.
pmid: 27895227
[33] Drechsler N, Zheng Y, Bohner A, Nobmann B, Wirén N, Kunze R, Rausch C. Nitrate-dependent control of shoot K homeostasis by NPF7.3/NRT1.5 and SKOR in Arabidopsis. Plant Physiol, 2015,169:2832-2847.
pmid: 26508776
[34] Li W, Ma M, Feng Y, Li H J, Wang Y C, Ma Y T, Li M Z, An F Y, Guo H W. EIN2-directed translational regulation of ethylene signaling in Arabidopsis. Cell, 2015,163:670-683.
[35] Wang S, Bai Y, Shen C, Wu Y R, Zhang S N. Auxin-related gene families in abiotic stress response in Sorghum bicolor. Funct Integr Genomics, 2010,10:533-546.
pmid: 20499123
[36] Milborrow B V, Burden R S, Taylor H F. The conversion of 2-cis-[14C] Xanthoxic acid into [14C] ABA . Phytochem Anal, 1997,45:257-260.
[37] Muday G K, Rahman A, Binder B M. Auxin and ethylene: collaborators or competitors? Trends Plant Sci, 2012,17:181-195.
pmid: 22406007
[38] Shin R, Berg R H, Schachtman D P. Reactive oxygen species and root hairs in Arabidopsis root response to nitrogen, phosphorus and potassium deficiency. Plant Cell Physiol, 2005,46:1350-1357.
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