Genome-wide Identification of Catalase Family Genes and Expression Analysis in Kiwifruit

doi:10.13560/j.cnki.biotech.bull.1985.2022-0533

Abstract

Abstract:

Catalase（CAT）is one of the main antioxidant enzymes in plants. In order to reveal the sequence characteristics and expression patterns of kiwifruit CAT family genes（AcCATs）, genome-wide identification and expression analysis were performed. The genome-wide identification and bioinformatics analysis of AcCATfamily genes were carried out, and its expression changes in different organs and during fruit storage were analyzed. Nine genes of AcCAT family were identified from kiwifruit genome using bioinformatics method and named as AcCAT1-AcCAT9 respectively according to their chromosome location information. There were high similarities in protein physicochemical properties, gene structure, conserved motifs and cis-acting elements in different members. AcCAT genes were unevenly distributed on four chromosomes, five AcCAT genes formed two tandem duplication gene clusters, and six AcCAT genes had segmental duplication. By psRNAtarget analysis, AcCAT genes were predicted to be mainly regulated by miR166 family members. Phylogenetic analysis showed that 23 CAT proteins from kiwifruit, Camellia sinensis, Gossypium hirsutum and Oryza sativa could be classified into three groups, and the classification was not completely conducted by species. Transcriptome analysis of different kiwifruit organs revealed that AcCAT3 expressed highly in the root, AcCAT1 and AcCAT4 expressed highly in the flower, AcCAT2, AcCAT5, AcCAT6, AcCAT8 and AcCAT9 were mainly expressed in the leaf, while AcCAT7 was up-expressed both in the root and flower. During the storage of kiwifruit, the expression levels of AcCAT5and AcCAT6 decreased gradually, but AcCAT1 and AcCAT2 were up-expressed in early stage, while the expression of AcCAT3, AcCAT4 and AcCAT8 increased in late stage. Additionally, the expressions of miR166 family members increased during this process. AcCAT family genes are conservative in evolution, and they play important regulatory roles in the growth and during the storage of kiwifruit.

Key words: kiwifruit, catalase, genome-wide identification, gene expression

LAI Rui-lian, FENG Xin, GAO Min-xia, LU Yu-dan, LIU Xiao-chi, WU Ru-jian, CHEN Yi-ting. Genome-wide Identification of Catalase Family Genes and Expression Analysis in Kiwifruit[J]. Biotechnology Bulletin, 2023, 39(4): 136-147.

Figures/Tables 12

References 40

[1]	Nie Q, Gao GL, Fan QJ, et al. Isolation and characterization of a catalase gene “HuCAT3” from pitaya(Hylocereus undatus)and its expression under abiotic stress[J]. Gene, 2015, 563(1): 63-71. doi: 10.1016/j.gene.2015.03.007 URL
[2]	Sofo A, Scopa A, Nuzzaci M, et al. Ascorbate peroxidase and catalase activities and their genetic regulation in plants subjected to drought and salinity stresses[J]. Int J Mol Sci, 2015, 16(6): 13561-13578. doi: 10.3390/ijms160613561 pmid: 26075872
[3]	Chen HJ, Wu SD, Huang GJ, et al. Expression of a cloned sweet potato catalase SPCAT1 alleviates ethephon-mediated leaf senescence and H₂O₂ elevation[J]. J Plant Physiol, 2012, 169(1): 86-97. doi: 10.1016/j.jplph.2011.08.002 URL
[4]	Du YY, Wang PC, Chen J, et al. Comprehensive functional analysis of the catalase gene family in Arabidopsis thaliana[J]. J Integr Plant Biol, 2008, 50(10): 1318-1326. doi: 10.1111/jipb.2008.50.issue-10 URL
[5]	Joo J, Lee YH, Song SI. Rice CatA, CatB, and CatC are involved in environmental stress response, root growth, and photorespiration, respectively[J]. J Plant Biol, 2014, 57(6): 375-382. doi: 10.1007/s12374-014-0383-8 URL
[6]	Wang W, Cheng YY, Chen DD, et al. The catalase gene family in cotton: genome-wide characterization and bioinformatics analysis[J]. Cells, 2019, 8(2): 86. doi: 10.3390/cells8020086 URL
[7]	Zhang Y, Zheng LJ, Yun L, et al. Catalase(CAT)gene family in wheat(Triticum aestivum L.): evolution, expression pattern and function analysis[J]. Int J Mol Sci, 2022, 23(1): 542. doi: 10.3390/ijms23010542 URL
[8]	Raza A, Su W, Gao A, et al. Catalase(CAT)gene family in rapeseed(Brassica napus L.): genome-wide analysis, identification, and expression pattern in response to multiple hormones and abiotic stress conditions[J]. Int J Mol Sci, 2021, 22(8): 4281. doi: 10.3390/ijms22084281 URL
[9]	Purev M, Kim YJ, Kim MK, et al. Isolation of a novel catalase(Cat1)gene from Panax ginseng and analysis of the response of this gene to various stresses[J]. Plant Physiol Biochem, 2010, 48(6): 451-460. doi: 10.1016/j.plaphy.2010.02.005 URL
[10]	Li YF, Jiang WJ, Liu CH, et al. Comparison of fruit morphology and nutrition metabolism in different cultivars of kiwifruit across developmental stages[J]. PeerJ, 2021, 9: e11538. doi: 10.7717/peerj.11538 URL
[11]	Liu YF, Qi YW, Chen X, et al. Phenolic compounds and antioxidant activity in red- and in green-fleshed kiwifruits[J]. Food Res Int, 2019, 116: 291-301. doi: S0963-9969(18)30653-7 pmid: 30716948
[12]	Pan LY, Zhao XY, Chen M, et al. Effect of exogenous methyl jasmonate treatment on disease resistance of postharvest kiwifruit[J]. Food Chem, 2020, 305: 125483. doi: 10.1016/j.foodchem.2019.125483 URL
[13]	Xu FX, Liu SY, Liu YF, et al. Effectiveness of lysozyme coatings and 1-MCP treatments on storage and preservation of kiwifruit[J]. Food Chem, 2019, 288: 201-207. doi: S0308-8146(19)30490-X pmid: 30902282
[14]	千春录, 殷建东, 王利斌, 等. 1-甲基环丙烯和自发气调对猕猴桃品质及活性氧代谢的影响[J]. 食品科学, 2018, 39(11): 233-240. doi: 10.7506/spkx1002-6630-201811037
	Qian CL, Yin JD, Wang LB, et al. Effects of 1-methylcyclopropene treatment and self-developed modified atmosphere on quality and reactive oxygen species metabolism of kiwifruits during storage[J]. Food Sci, 2018, 39(11): 233-240.
[15]	梁春强, 吕茳, 靳蜜静, 等. 草酸处理对采后猕猴桃冷害、抗氧化能力及能荷的影响[J]. 园艺学报, 2017, 44(2): 279-287. doi: 10.16420/j.issn.0513-353x.2016-0451
	Liang CQ, Lv J, Jin MJ, et al. Effects of oxalic acid treatment on chilling injury, antioxidant capacity and energy status in harvested kiwifruits under low temperature stress[J]. Acta Hortic Sin, 2017, 44(2): 279-287.
[16]	张承, 李明, 龙友华, 等. 采前喷施壳聚糖复合膜对猕猴桃软腐病的防控及其保鲜作用[J]. 食品科学, 2016, 37(22): 274-281. doi: 10.7506/spkx1002-6630-201622042
	Zhang C, Li M, Long YH, et al. Control of soft rot in kiwifruit by pre-harvest application of chitosan composite coating and its effect on preserving and improving kiwifruit quality[J]. Food Sci, 2016, 37(22): 274-281. doi: 10.1111/jfds.1972.37.issue-2 URL
[17]	沈勇根, 汪伟, 张伟, 等. 硫化氢提高低温贮藏下猕猴桃的抗氧化能力及果实品质(英文)[J]. 农业工程学报, 2015, 31(S1): 367-372.
	Shen YG, Wang W, Zhang W, et al. Hydrogen sulfide facilitating enhancement of antioxidant ability and maintainance of fruit quality of kiwifruits during low-temperature storage[J]. Trans Chin Soc Agric Eng, 2015, 31(S1): 367-372.
[18]	Liang D, Shen YQ, Ni ZY, et al. Exogenous melatonin application delays senescence of kiwifruit leaves by regulating the antioxidant capacity and biosynthesis of flavonoids[J]. Front Plant Sci, 2018, 9: 426. doi: 10.3389/fpls.2018.00426 pmid: 29675031
[19]	Liang D, Gao F, Ni ZY, et al. Melatonin improves heat tolerance in kiwifruit seedlings through promoting antioxidant enzymatic activity and glutathione S-transferase transcription[J]. Molecules, 2018, 23(3): 584. doi: 10.3390/molecules23030584 URL
[20]	Xia H, Ni ZY, Hu RP, et al. Melatonin alleviates drought stress by a non-enzymatic and enzymatic antioxidative system in kiwifruit seedlings[J]. Int J Mol Sci, 2020, 21(3): 852. doi: 10.3390/ijms21030852 URL
[21]	Blokhina O, Virolainen E, Fagerstedt KV. Antioxidants, oxidative damage and oxygen deprivation stress: a review[J]. Ann Bot, 2003, 91 Spec No(2): 179-194.
[22]	Wei CL, Yang H, Wang SB, et al. Draft genome sequence of Camellia sinensis var. sinensis provides insights into the evolution of the tea genome and tea quality[J]. Proc Natl Acad Sci USA, 2018, 115(18): E4151-E4158.
[23]	Li XH, Liu GY, Geng YH, et al. A genome-wide analysis of the small auxin-up RNA(SAUR)gene family in cotton[J]. BMC Genomics, 2017, 18(1): 815. doi: 10.1186/s12864-017-4224-2 URL
[24]	Song ZP, Pan FL, Lou XP, et al. Genome-wide identification and characterization of Hsp70 gene family in Nicotiana tabacum[J]. Mol Biol Rep, 2019, 46(2): 1941-1954. doi: 10.1007/s11033-019-04644-7
[25]	Xu XP, Chen XH, Shen X, et al. Genome-wide identification and characterization of DEAD-box helicase family associated with early somatic embryogenesis in Dimocarpus longan Lour[J]. J Plant Physiol, 2021, 258/259: 153364. doi: 10.1016/j.jplph.2021.153364 URL
[26]	Xu K, Zhao Y, Zhao SH, et al. Genome-wide identification and low temperature responsive pattern of actin depolymerizing factor(ADF)gene family in wheat(Triticum aestivum L.)[J]. Front Plant Sci, 2021, 12: 618984. doi: 10.3389/fpls.2021.618984 URL
[27]	Zhao W, Liu YH, Li L, et al. Genome-wide identification and characterization of bHLH transcription factors related to anthocyanin biosynthesis in red walnut(Juglans regia L.)[J]. Front Genet, 2021, 12: 632509. doi: 10.3389/fgene.2021.632509 URL
[28]	Zhang ZS, Chen J, Liang CL, et al. Genome-wide identification and characterization of the bHLH transcription factor family in pepper(Capsicum annuum L.)[J]. Front Genet, 2020, 11: 570156. doi: 10.3389/fgene.2020.570156 URL
[29]	Cheng CZ, Liu F, Sun XL, et al. Genome-wide identification of FAD gene family and their contributions to the temperature stresses and mutualistic and parasitic fungi colonization responses in banana[J]. Int J Biol Macromol, 2022, 204: 661-676. doi: 10.1016/j.ijbiomac.2022.02.024 URL
[30]	李濯雪, 陈信波. 植物诱导型启动子及相关顺式作用元件研究进展[J]. 生物技术通报, 2015, 31(10): 8-15. doi: 10.13560/j.cnki.biotech.bull.1985.2015.10.006
	Li ZX, Chen XB. Research advances on plant inducible promoters and related cis-acting elements[J]. Biotechnol Bull, 2015, 31(10): 8-15.
[31]	Sun ZC, Shu LL, Zhang W, et al. Cca-miR398 increases copper sulfate stress sensitivity via the regulation of CSD mRNA transcription levels in transgenic Arabidopsis thaliana[J]. PeerJ, 2020, 8: e9105. doi: 10.7717/peerj.9105 URL
[32]	Liu F, Huang N, Wang L, et al. A novel L-ascorbate peroxidase 6 gene, ScAPX6, plays an important role in the regulation of response to biotic and abiotic stresses in sugarcane[J]. Front Plant Sci, 2018, 8: 2262. doi: 10.3389/fpls.2017.02262 URL
[33]	Bela K, Horváth E, Gallé Á, et al. Plant glutathione peroxidases: emerging role of the antioxidant enzymes in plant development and stress responses[J]. J Plant Physiol, 2015, 176: 192-201. doi: 10.1016/j.jplph.2014.12.014 URL
[34]	Begara-Morales JC, Sánchez-Calvo B, Chaki M, et al. Differential molecular response of monodehydroascorbate reductase and glutathione reductase by nitration and S-nitrosylation[J]. J Exp Bot, 2015, 66(19): 5983-5996. doi: 10.1093/jxb/erv306 pmid: 26116026
[35]	Kitazumi A, Kawahara Y, Onda TS, et al. Implications of miR166 and miR159 induction to the basal response mechanisms of an Andigena potato(Solanum tuberosum subsp. andigena)to salinity stress, predicted from network models in Arabidopsis[J]. Genome, 2015, 58(1): 13-24. doi: 10.1139/gen-2015-0011 pmid: 25955479
[36]	Ding YF, Gong SH, Wang Y, et al. microRNA166 modulates cadmium tolerance and accumulation in rice[J]. Plant Physiol, 2018, 177(4): 1691-1703. doi: 10.1104/pp.18.00485 pmid: 29925586
[37]	Li N, Yang TX, Guo ZY, et al. Maize microRNA166 inactivation confers plant development and abiotic stress resistance[J]. Int J Mol Sci, 2020, 21(24): 9506. doi: 10.3390/ijms21249506 URL
[38]	Ravichandran S, Ragupathy R, Edwards T, et al. microRNA-guided regulation of heat stress response in wheat[J]. BMC Genomics, 2019, 20(1): 488. doi: 10.1186/s12864-019-5799-6 pmid: 31195958
[39]	Li XY, Xie X, Li J, et al. Conservation and diversification of the miR166 family in soybean and potential roles of newly identified miR166s[J]. BMC Plant Biol, 2017, 17(1): 32. doi: 10.1186/s12870-017-0983-9 pmid: 28143404
[40]	Hamza NB, Sharma N, Tripathi A, et al. microRNA expression profiles in response to drought stress in Sorghum bicolor[J]. Gene Expr Patterns, 2016, 20(2): 88-98. doi: 10.1016/j.gep.2016.01.001 URL

蛋白名称 Protein name	氨基酸 Amino acids	分子量 Molecular weight/kD	等电点 Theoretical pI	不稳定系数 Instability index	脂肪系数 Aliphatic index	亲水性系数 Grand average of hydropathicity
AcCAT1	450	52.16	6.85	39.98	69.93	-0.585
AcCAT2	757	87.31	7.24	48.49	72.60	-0.631
AcCAT3	1 285	148.21	5.89	42.86	79.04	-0.420
AcCAT4	459	53.40	7.82	38.03	76.06	-0.497
AcCAT5	501	58.01	6.39	44.37	71.40	-0.537
AcCAT6	526	60.67	6.53	41.73	70.06	-0.535
AcCAT7	302	35.33	6.09	44.08	73.61	-0.542
AcCAT8	490	57.08	6.88	38.26	69.63	-0.536
AcCAT9	91	10.34	5.90	37.97	63.19	-0.676

蛋白名称 Protein name	氨基酸 Amino acids	分子量 Molecular weight/kD	等电点 Theoretical pI	不稳定系数 Instability index	脂肪系数 Aliphatic index	亲水性系数 Grand average of hydropathicity
AcCAT1	450	52.16	6.85	39.98	69.93	-0.585
AcCAT2	757	87.31	7.24	48.49	72.60	-0.631
AcCAT3	1 285	148.21	5.89	42.86	79.04	-0.420
AcCAT4	459	53.40	7.82	38.03	76.06	-0.497
AcCAT5	501	58.01	6.39	44.37	71.40	-0.537
AcCAT6	526	60.67	6.53	41.73	70.06	-0.535
AcCAT7	302	35.33	6.09	44.08	73.61	-0.542
AcCAT8	490	57.08	6.88	38.26	69.63	-0.536
AcCAT9	91	10.34	5.90	37.97	63.19	-0.676

miRNA	靶基因Target	期望值Expectation	序列比对Alignment	抑制方式Inhibition
ach-miR166k-3p	AcCAT5	2.0	miRNA 21 UCCCUAACUUCGGACCAGGCU 1 : : : : : : : : : : : : : : : :. : : Target 1338 AUGGAUUGAAGCCUUGUCUGA 1358	剪切 Cleavage
ach-miR166k-3p	AcCAT6	2.0	miRNA 21 UCCCUAACUUCGGACCAGGCU 1 : : : : : : : : : : : : : : : :. : : Target 1449 AUGGAUUGAAGCCUUGUCUGA 1469	剪切 Cleavage
ach-miR166a-3p	AcCAT6	3.0	miRNA 21 CCCCUUACUUCGGACCAGGCU 1 : : : : : : : : : : : : : :. : : Target 1449 AUGGAUUGAAGCCUUGUCUGA 1469	剪切 Cleavage
ach-miR166a-3p	AcCAT5	3.0	miRNA 21 CCCCUUACUUCGGACCAGGCU 1 : : : : : : : : : : : : : :. : : Target 1338 AUGGAUUGAAGCCUUGUCUGA 1358	剪切 Cleavage
ach-miR166b	AcCAT6	3.0	miRNA 21 AUCCUUACUUCGGACCAGGCU 1 : : : : : : : : : : : : : :. : : Target 1449 AUGGAUUGAAGCCUUGUCUGA 1469	剪切 Cleavage
ach-miR166b	AcCAT5	3.0	miRNA 21 AUCCUUACUUCGGACCAGGCU 1 : : : : : : : : : : : : : :. : : Target 1338 AUGGAUUGAAGCCUUGUCUGA 1358	剪切 Cleavage
ach-miR166g-3p	AcCAT5	3.0	miRNA 21 CUCCUUACUUCGGACCAGGCU 1 : : : : : : : : : : : : : :. : : Target 1338 AUGGAUUGAAGCCUUGUCUGA 1358	剪切 Cleavage
ach-miR166g-3p	AcCAT6	3.0	miRNA 21 CUCCUUACUUCGGACCAGGCU 1 : : : : : : : : : : : : : :. : : Target 1449 AUGGAUUGAAGCCUUGUCUGA 1469	剪切 Cleavage
ach-miR166m	AcCAT5	3.0	miRNA 21 UCCCUUACUUCGGACCAGGCU 1 : : : : : : : : : : : : : : :. : : Target 1338 AUGGAUUGAAGCCUUGUCUGA 1358	剪切 Cleavage
ach-miR166m	AcCAT6	3.0	miRNA 21 UCCCUUACUUCGGACCAGGCU 1 : : : : : : : : : : : : : : :. : : Target 1449 AUGGAUUGAAGCCUUGUCUGA 1469	剪切 Cleavage
ach-miR166n	AcCAT5	3.0	miRNA 21 UUCCUUACUUCGGACCAGGCU 1 : : : : : : : : : : : : : : :. : : Target 1338 AUGGAUUGAAGCCUUGUCUGA 1358	剪切 Cleavage
ach-miR166n	AcCAT6	3.0	miRNA 21 UUCCUUACUUCGGACCAGGCU 1 : : : : : : : : : : : : : : :. : : Target 1449 AUGGAUUGAAGCCUUGUCUGA 1469	剪切 Cleavage
ach-miR166a	AcCAT6	3.0	miRNA 19 CCUUACUUCGGACCAGGCU 1 : : : : : : : : : : : : : :. : : Target 1451 GGAUUGAAGCCUUGUCUGA 1469	剪切 Cleavage
ach-miR166a	AcCAT5	3.0	miRNA 19 CCUUACUUCGGACCAGGCU 1 : : : : : : : : : : : : : :. : : Target 1340 GGAUUGAAGCCUUGUCUGA 1358	剪切 Cleavage
ach-miR166h-3p	AcCAT5	3.0	miRNA 20 CCCUUACUUCGGACCAGGCU 1 : : : : : : : : : : : : : :. : : Target 1339 UGGAUUGAAGCCUUGUCUGA 1358	剪切 Cleavage
ach-miR166h-3p	AcCAT6	3.0	miRNA 20 CCCUUACUUCGGACCAGGCU 1 : : : : : : : : : : : : : :. : : Target 1450 UGGAUUGAAGCCUUGUCUGA 1469	剪切 Cleavage

miRNA	靶基因Target	期望值Expectation	序列比对Alignment	抑制方式Inhibition
ach-miR166k-3p	AcCAT5	2.0	miRNA 21 UCCCUAACUUCGGACCAGGCU 1 : : : : : : : : : : : : : : : :. : : Target 1338 AUGGAUUGAAGCCUUGUCUGA 1358	剪切 Cleavage
ach-miR166k-3p	AcCAT6	2.0	miRNA 21 UCCCUAACUUCGGACCAGGCU 1 : : : : : : : : : : : : : : : :. : : Target 1449 AUGGAUUGAAGCCUUGUCUGA 1469	剪切 Cleavage
ach-miR166a-3p	AcCAT6	3.0	miRNA 21 CCCCUUACUUCGGACCAGGCU 1 : : : : : : : : : : : : : :. : : Target 1449 AUGGAUUGAAGCCUUGUCUGA 1469	剪切 Cleavage
ach-miR166a-3p	AcCAT5	3.0	miRNA 21 CCCCUUACUUCGGACCAGGCU 1 : : : : : : : : : : : : : :. : : Target 1338 AUGGAUUGAAGCCUUGUCUGA 1358	剪切 Cleavage
ach-miR166b	AcCAT6	3.0	miRNA 21 AUCCUUACUUCGGACCAGGCU 1 : : : : : : : : : : : : : :. : : Target 1449 AUGGAUUGAAGCCUUGUCUGA 1469	剪切 Cleavage
ach-miR166b	AcCAT5	3.0	miRNA 21 AUCCUUACUUCGGACCAGGCU 1 : : : : : : : : : : : : : :. : : Target 1338 AUGGAUUGAAGCCUUGUCUGA 1358	剪切 Cleavage
ach-miR166g-3p	AcCAT5	3.0	miRNA 21 CUCCUUACUUCGGACCAGGCU 1 : : : : : : : : : : : : : :. : : Target 1338 AUGGAUUGAAGCCUUGUCUGA 1358	剪切 Cleavage
ach-miR166g-3p	AcCAT6	3.0	miRNA 21 CUCCUUACUUCGGACCAGGCU 1 : : : : : : : : : : : : : :. : : Target 1449 AUGGAUUGAAGCCUUGUCUGA 1469	剪切 Cleavage
ach-miR166m	AcCAT5	3.0	miRNA 21 UCCCUUACUUCGGACCAGGCU 1 : : : : : : : : : : : : : : :. : : Target 1338 AUGGAUUGAAGCCUUGUCUGA 1358	剪切 Cleavage
ach-miR166m	AcCAT6	3.0	miRNA 21 UCCCUUACUUCGGACCAGGCU 1 : : : : : : : : : : : : : : :. : : Target 1449 AUGGAUUGAAGCCUUGUCUGA 1469	剪切 Cleavage
ach-miR166n	AcCAT5	3.0	miRNA 21 UUCCUUACUUCGGACCAGGCU 1 : : : : : : : : : : : : : : :. : : Target 1338 AUGGAUUGAAGCCUUGUCUGA 1358	剪切 Cleavage
ach-miR166n	AcCAT6	3.0	miRNA 21 UUCCUUACUUCGGACCAGGCU 1 : : : : : : : : : : : : : : :. : : Target 1449 AUGGAUUGAAGCCUUGUCUGA 1469	剪切 Cleavage
ach-miR166a	AcCAT6	3.0	miRNA 19 CCUUACUUCGGACCAGGCU 1 : : : : : : : : : : : : : :. : : Target 1451 GGAUUGAAGCCUUGUCUGA 1469	剪切 Cleavage
ach-miR166a	AcCAT5	3.0	miRNA 19 CCUUACUUCGGACCAGGCU 1 : : : : : : : : : : : : : :. : : Target 1340 GGAUUGAAGCCUUGUCUGA 1358	剪切 Cleavage
ach-miR166h-3p	AcCAT5	3.0	miRNA 20 CCCUUACUUCGGACCAGGCU 1 : : : : : : : : : : : : : :. : : Target 1339 UGGAUUGAAGCCUUGUCUGA 1358	剪切 Cleavage
ach-miR166h-3p	AcCAT6	3.0	miRNA 20 CCCUUACUUCGGACCAGGCU 1 : : : : : : : : : : : : : :. : : Target 1450 UGGAUUGAAGCCUUGUCUGA 1469	剪切 Cleavage

miRNA	AcCAT5		AcCAT6
miRNA	皮尔逊相关性Pearson correlation	显著性Significance	皮尔逊相关性Pearson correlation	显著性Significance
ach-miR166k-3p	-0.291	0.709	-0.495	0.505
ach-miR166a-3p	-0.479	0.521	-0.651	0.349
ach-miR166b	-0.990*	0.010	-0.976*	0.024
ach-miR166g-3p	-0.996**	0.004	-0.975*	0.025
ach-miR166m	-0.069	0.931	-0.259	0.741
ach-miR166n	-0.991**	0.009	-0.978*	0.022
ach-miR166a	-0.989*	0.011	-0.976*	0.024
ach-miR166h-3p	-0.482	0.518	-0.653	0.347