• 《中国科学引文数据库(CSCD)》来源期刊
  • 中国科技期刊引证报告(核心版)期刊
  • 《中文核心期刊要目总览》核心期刊
  • RCCSE中国核心学术期刊

MicroRNA-1285及其靶标DDX3X对猪塞内卡病毒感染PK-15细胞的调控作用

孙媛, 唐晓钰, 白杨, 陈雨琪, 郑瑶瑶, 吴佼玲, 蓝天, 马静云

孙媛, 唐晓钰, 白杨, 等. MicroRNA-1285及其靶标DDX3X对猪塞内卡病毒感染PK-15细胞的调控作用[J]. 华南农业大学学报, 2023, 44(3): 357-366. DOI: 10.7671/j.issn.1001-411X.202205038
引用本文: 孙媛, 唐晓钰, 白杨, 等. MicroRNA-1285及其靶标DDX3X对猪塞内卡病毒感染PK-15细胞的调控作用[J]. 华南农业大学学报, 2023, 44(3): 357-366. DOI: 10.7671/j.issn.1001-411X.202205038
SUN Yuan, TANG Xiaoyu, BAI Yang, et al. Regulation effects of microRNA-1285 and its target DDX3X on Senecavirus A infected PK-15 cells[J]. Journal of South China Agricultural University, 2023, 44(3): 357-366. DOI: 10.7671/j.issn.1001-411X.202205038
Citation: SUN Yuan, TANG Xiaoyu, BAI Yang, et al. Regulation effects of microRNA-1285 and its target DDX3X on Senecavirus A infected PK-15 cells[J]. Journal of South China Agricultural University, 2023, 44(3): 357-366. DOI: 10.7671/j.issn.1001-411X.202205038

MicroRNA-1285及其靶标DDX3X对猪塞内卡病毒感染PK-15细胞的调控作用

基金项目: 广东省基础与应用基础研究基金(2020A1515010295,2022A1515012473)
详细信息
    作者简介:

    孙媛,讲师,博士,主要从事动物健康养殖与疫病防控研究,E-mail: sunyuan@scau.edu.cn

    通讯作者:

    马静云,教授,博士,主要从事动物健康养殖与综合防控研究,E-mail: majy2400@scau.edu.cn

  • 中图分类号: S852.42;S852.659.6

Regulation effects of microRNA-1285 and its target DDX3X on Senecavirus A infected PK-15 cells

Article Text (iFLYTEK Translation)
  • 摘要:
    目的 

    探究MicroRNA-1285(miR-1285)及其靶标DDX3X在猪塞内卡病毒(Senecavirus A,SVA)感染PK-15细胞中的调控作用。

    方法 

    利用qRT-PCR、双荧光素酶活性及Western blot等方法研究miR-1285和DDX3X对I型干扰素(IFN-β)分泌及RIG-I信号通路的作用,分析miR-1285及DDX3X对SVA 3C蛋白基因表达的影响。

    结果 

    SVA感染PK-15细胞后,miR-1285表达量显著升高,并且miR-1285与DDX3X存在负靶向关系,二者可促进IFN-β转录及蛋白水平的表达。miR-1285通过靶向DDX3X对RIG-I信号通中的MAVS、TRAF3信号分子起调控作用。对于SVA 3C蛋白基因,DDX3X可以显著抑制其转录,并且可以逆转miR-1285所诱导的上调趋势。

    结论 

    SVA感染PK-15细胞后,宿主miR-1285及其靶标DDX3X对IFN-β及病毒3C蛋白的表达具有调控作用,研究结果将为明确miRNAs调控SVA感染的分子机制奠定基础,并为SVA的防控和诊断提供新的科学依据。

    Abstract:
    Objective 

    To explore the regulation roles of microRNA-1285 (miR-1285) and its target DDX3X in Senecavirus A (SVA) infected PK-15 cells.

    Method 

    By qRT-PCR, double luciferase activity and Western blot, the effects of miR-1285 and its target DDX3X on IFN-β secretion and the RIG-I signaling pathway were studied, and their effects on the expression of SVA 3C protein gene were analyzed.

    Result 

    In SVA infected PK-15 cells, the expression of miR-1285 increased significantly, and there was a negative targeting relationship between miR-1285 and DDX3X. Both miR-1285 and DDX3X promoted the transcription and protein expression of IFN-β. MiR-1285 regulated MAVS and TRAF3 signaling molecules in the RIG-I signaling pathway by targeting DDX3X. For SVA 3C protein, DDX3X significantly inhibited the transcription of 3C and reversed the up-regulation trend induced by miR-1285.

    Conclusion 

    After infecting PK-15 cells with SVA, host miR-1285 and its target DDX3X can regulate the expression of IFN-β and the viral 3C protein, which will lay a foundation for clarifying the molecular mechanism of miRNAs regulating SVA infection, and provide a new scientific basis for the prevention, control and diagnosis of SVA.

  • 大花紫薇Lagerstroemia speciosa为千屈菜科Lythraceae紫薇属Lagerstroemia大乔木,又名为大叶紫薇、大叶百日红、巴拿马等,主要分布于东南亚地区、印度及斯里兰卡,现广泛栽培于我国广东、广西、福建和云南等地[-]。大花紫薇树体高大、树形优美、枝叶繁茂、花冠硕大、花色艳丽、花量繁多、花期长久,是重要的夏秋观花景观生态树种[-]

    目前,紫薇属中株型矮小的灌木紫薇品种选育获得了巨大成功,但针对高大乔木品种的选育则相对滞后,以大花紫薇为材料的品种选育与改良工作开展较少,且育种手段单一[]。同时,该树种的应用面临品种花色单调、适生区域窄、结果量大且挂果期长(达8个月)等问题,严重影响开花及花后的景观效果[-]。鉴于此,利用多种育种技术进行种质创新成为培育和改良大花紫薇研究的重中之重。

    甲基磺酸乙酯(Ethyl methane sulfonate,EMS)是常见的植物育种诱变剂之一,能够诱使材料产生高密度的系列等位基因点突变,已被广泛用于农作物和花卉等草本植物的育种研究上,且取得了不俗的成果[-]。相比之下,木本植物因其生长周期较长,运用EMS诱变取得的实质性成果也相对欠缺[]。本研究以大花紫薇种子为材料,对其采用不同浓度EMS进行不同时间处理,以探究大花紫薇EMS诱变半致死剂量,构建EMS诱变群体,为丰富大花紫薇种质资源提供技术理论支持,同时以期为后续育种提供材料。

    大花紫薇果实于2021年12月采自华南农业大学校园内筛选出的单株。果实脱粒后选取饱满种子于−4 ℃冰箱保存。诱变前将大花紫薇种子浸泡在200 mg·L−1赤霉素溶液并置于摇床(30 ℃,150 r·min−1)催芽24 h。

    称取Na2HPO4·12H2O 35.82 g,用蒸馏水定容至1 L,作为溶液A;称取NaH2PO4·2H2O 15.61 g,用蒸馏水定容至1 L,作为溶液B;磷酸缓冲液按VAVB = 63∶39现配现用,使用前用NaOH溶液将pH微调至7.0[]

    化学诱变剂为EMS(上海麦克林生化科技有限公司),使用磷酸缓冲液进行配制,先配制成0.1 g·mL−1质量浓度溶液,再稀释至所需质量浓度。

    催芽处理后的种子置于100 mL离心管中,加入配制好的不同浓度EMS溶液后于摇床(30 ℃,150 r·min−1)避光进行诱导,在前期预试验0~20 g·L−1质量浓度筛选的基础上,采用随机完全区组设计,EMS溶液设置5个质量浓度梯度(12、14、16、18和20 g·L−1),磷酸缓冲液为空白对照,处理时间设置3个水平(8、10、12 h),共18个处理组合,每个处理50粒种子,重复3次。处理结束后用等体积50 g·L−1 Na2S2O3溶液置于摇床(30 ℃,150 r·min−1)清洗3次,每次10 min,再用流水冲洗2 h,以彻底清除残留药液[]。最后将清洗的种子置床于铺有3层滤纸和1层纱布的培养皿中,培养条件为16 h·d−1光照、30 ℃的培养箱。

    每天按时观察种子萌发情况,按需补水,保持滤纸湿润,并及时去除霉变感菌种子。种子萌发以露白作为标准,以连续3 d不再发芽视为发芽终止,每天定时记录各处理发芽数。发芽结束后统计发芽率,计算发芽势和发芽指数。计算公式[]如下:

    $$ \mathrm{发}\mathrm{芽}\mathrm{率}=\dfrac{\mathrm{种}\mathrm{子}\mathrm{发}\mathrm{芽}\mathrm{总}\mathrm{数}}{\mathrm{供}\mathrm{试}\mathrm{种}\mathrm{子}\mathrm{数}}\times \text{100{\text{%}}}, $$ (1)
    $$ \text{相对发芽率}\text=\dfrac{\text{处理组发芽率}}{\text{对照组发芽率}}\times \text{100{\text{%}}}, $$ (2)
    $$ \mathrm{发}\mathrm{芽}\mathrm{势}=\dfrac{\mathrm{发}\mathrm{芽}\mathrm{高}\mathrm{峰}\mathrm{期}\mathrm{发}\mathrm{芽}\mathrm{种}\mathrm{子}\mathrm{数}}{\mathrm{供}\mathrm{试}\mathrm{种}\mathrm{子}\mathrm{数}}\times \text{100{\text{%}}}, $$ (3)
    $$ \mathrm{相}\mathrm{对}\mathrm{发}\mathrm{芽}\mathrm{势}=\dfrac{\mathrm{处}\mathrm{理}\mathrm{组}\mathrm{发}\mathrm{芽}\mathrm{势}}{\mathrm{对}\mathrm{照}\mathrm{组}\mathrm{发}\mathrm{芽}\mathrm{势}}\times \text{100{\text{%}}}, $$ (4)
    $$ \mathrm{发}\mathrm{芽}\mathrm{指}\mathrm{数}=\displaystyle\sum \dfrac{G_t}{t}, $$ (5)

    式中:Gt为第t天发芽数;t为发芽天数。

    $$ \mathrm{相}\mathrm{对}\mathrm{发}\mathrm{芽}\mathrm{指}\mathrm{数}=\dfrac{\mathrm{处}\mathrm{理}\mathrm{组}\mathrm{发}\mathrm{芽}\mathrm{指}\mathrm{数}}{\mathrm{对}\mathrm{照}\mathrm{组}\mathrm{发}\mathrm{芽}\mathrm{指}\mathrm{数}}\times \text{100{\text{%}}}。 $$ (6)

    半致死剂量(Lethal concentration 50,LC50)以处理大花紫薇种子的相对致死率确定,相对致死率为50%时获得半致死剂量[]

    $$\mathrm{相}\mathrm{对}\mathrm{致}\mathrm{死}\mathrm{率}=1 - \mathrm{相}\mathrm{对}\mathrm{发}\mathrm{芽}\mathrm{率}。 $$ (7)

    发芽终止5 d后,每个处理随机抽取10株芽苗,重复3次(数量不足的全组测量),使用游标卡尺(精度为0.1 mm)测量胚轴及胚根长,取平均值。

    经诱变处理的大花紫薇芽苗长出真叶时,移栽至穴盘(基质为V泥炭土V珍珠岩=3∶1)培养至5~6 cm时,移栽至花盆中(基质为V泥炭土V黄心土=1∶1),于田间进行常规培育120 d后,测定其形态学指标。株高、冠幅和地径分别使用尺子和游标卡尺(精度0.1 mm)测量;叶长、叶宽、叶面积及叶形指数(每株选取第3~5位成熟叶片)使用叶面积仪测量(CL-203,CID,美国)。每个处理组随机选取10株进行测量,3次重复,取平均值。

    采用Microsoft Excel 2019对原始数据进行记录,利用SPSS 26.0软件进行方差分析,多重比较采用Duncan’s法,数据采用平均数 ± 标准误表示。绘图采用Origin 2019软件。

    表1结果显示,诱变时间相同时,发芽率、发芽势及发芽指数随着EMS浓度的升高呈下降趋势,部分处理种子发芽情况见图1。EMS质量浓度在16 g·L−1及以上时,发芽率迅速降低,12 h 20 g·L−1 EMS处理时降至为0,反映了高浓度EMS对发芽率的作用更加明显。发芽势反映种子生命力的强弱,决定种子出苗的整齐程度,在相同时间处理条件下,随着EMS浓度升高,发芽势递减,反映出EMS处理影响大花紫薇种子出苗的整齐程度。与发芽率相似,EMS质量浓度在16 g·L−1及以上时,发芽势迅速降低,表明高浓度的EMS更易使大花紫薇种子出苗不整齐。发芽指数也是反映种子活力的指标之一,本研究中发现EMS处理对大花紫薇种子毒害作用较强,与对照组相比,不同处理的发芽指数受到显著抑制,当EMS质量浓度高于14 g·L−1,各处理发芽指数均低于10。

    表  1  不同EMS处理对大花紫薇种子发芽的影响1)
    Table  1.  Effects of different EMS treatments on germination of Lagerstroemia speciosa seeds
    t/h ρ/(g·L−1) 发芽率/%
    Germination rate
    发芽势/%
    Germination vigor
    发芽指数
    Germination index
    8 0 72.22 ± 2.22a 55.33 ± 0.67a 18.67 ± 0.05a
    12 68.89 ± 1.11ab 40.00 ± 0.00b 11.70 ± 0.27b
    14 65.56 ± 2.94b 34.67 ± 1.76c 11.69 ± 0.65b
    16 54.44 ± 1.11c 30.67 ± 0.67d 8.64 ± 0.37c
    18 50.00 ± 1.92c 28.67 ± 1.33d 8.55 ± 0.63c
    20 17.78 ± 2.22d 16.67 ± 1.76e 1.88 ± 0.25d
    10 0 73.11 ± 1.74a 46.00 ± 1.39a 19.18 ± 0.43a
    12 68.22 ± 0.97a 39.33 ± 3.33b 11.99 ± 0.41b
    14 58.89 ± 1.60b 37.33 ± 1.76b 10.83 ± 0.47b
    16 52.22 ± 1.11c 32.67 ± 1.76b 7.24 ± 0.40c
    18 32.89 ± 1.98d 18.67 ± 2.67c 3.24 ± 0.13d
    20 5.55 ± 2.22e 4.00 ± 0.00d 0.61 ± 0.16e
    12 0 71.78 ± 0.97a 47.78 ± 1.11a 19.92 ± 0.65a
    12 65.56 ± 1.82b 46.67 ± 1.76a 10.27 ± 0.28b
    14 51.33 ± 1.76c 28.67 ± 1.33b 10.40 ± 0.42b
    16 37.33 ± 0.67d 26.67 ± 0.67b 6.73 ± 0.36c
    18 14.00 ± 2.31e 11.33 ± 1.33c 1.46 ± 0.29d
    20 0.00 ± 0.00f 0.00 ± 0.00d 0.00 ± 0.00e
     1) 相同时间同列数据后的不同小写字母表示差异显著(P < 0.05, Duncan’s法)。
     1) Different lowercase letters of the same column of the same time indicate significant differences (P < 0.05, Duncan’s method).
    下载: 导出CSV 
    | 显示表格
    图 1 部分处理大花紫薇种子同期萌发情况
    图  1  部分处理大花紫薇种子同期萌发情况
    Figure  1.  Simultaneous germination of Lagerstroemia speciosa seeds of partial treatment combinations

    图2为不同EMS浓度和处理时间下大花紫薇种子相对发芽率、相对发芽势和相对发芽指数情况。与对照组相比,低浓度EMS处理相对发芽率无显著差异,12 g·L−1 EMS处理的相对发芽率均达90%,只有当EMS质量浓度在14 g·L−1以上时,相对发芽率才显著降低。在相同诱变时间条件下,EMS浓度的升高会导致相对发芽势降低。当诱变时间为8 h,相对发芽势变化区间为31.25%~75.00%,当诱变时间为10 h,相对发芽势变化区间为8.70%~85.51%,当诱变时间为12 h,相对发芽势变化区间为0~49.74%。相对发芽指数随着EMS浓度的升高而逐步降低,且当诱变时间为12 h时,降至为0。与对照组相比,当EMS质量浓度高于14 g·L−1时,各处理的相对发芽指数均低于50%。由此可见EMS处理对大花紫薇种子发芽率、相对发芽率、发芽势、相对发芽势、发芽指数和相对发芽指数均有较强的抑制作用,这种抑制作用在高浓度EMS处理下更为明显,并且随着抑制作用的加强,出现不发芽现象。

    图 2 不同EMS处理对大花紫薇种子发芽的影响
    图  2  不同EMS处理对大花紫薇种子发芽的影响
    各图中,相同时间柱子上方的不同小写字母表示不同浓度处理间差异显著(P < 0.05, Duncan’s法)。
    Figure  2.  Effects of different EMS treatments on germination of Lagerstroemia speciosa seeds
    In each figure,different lowercase letters on bars of the same time indicate significant differences among treatments with different concentrations (P < 0.05, Duncan’s method).

    图3可知,EMS处理显著推迟了大花子薇种子的发芽起始时间,在诱变时间相同的情况下,随着EMS浓度的升高,发芽起始时间逐渐推迟。当诱变时间为8 h,发芽起始时间与对照组相比推迟了3.67~7.67 d;当诱变时间为10 h,各处理发芽起始时间与对照相比最少推迟了2.67 d,最长推迟了8.67 d;当诱变时间为12 h,发芽起始时间最早的是12 g·L−1 EMS处理,平均6.33 d开始发芽,比对照组推迟了3.33 d,发芽起始时间最晚的是18 g·L−1 EMS处理,平均10.00 d开始发芽,较对照组推迟了7.00 d。发芽持续时间在诱变时间为8 h时,随着EMS浓度的升高而变长,18 g·L−1 EMS处理发芽持续时间最长,为12.00 d,而20 g·L−1 EMS处理发芽持续时间又降至7.00 d;当诱变时间分别为10和12 h,发芽持续时间随着EMS浓度的升高先延长后缩短,均于14 g·L−1时达到最长,分别为8.67和9.67 d,较对照组延长了2.00和2.67 d。由此可得,在不同浓度和诱变时间作用下,随着EMS浓度的增加会使大花紫薇种子发芽起始时间推迟;高浓度的EMS会导致种子发芽率降低从而缩短发芽持续时间,总体上EMS处理还是会延长发芽的持续时间。

    图 3 不同EMS处理对大花紫薇种子发芽进程的影响
    图  3  不同EMS处理对大花紫薇种子发芽进程的影响
    各图中,相同时间柱子上方的不同小写字母表示不同浓度处理间差异显著(P < 0.05, Duncan’s法)。
    Figure  3.  Effects of different EMS treatments on germination process of Lagerstroemia speciosa seeds
    In each figure,different lowercase letters on bars of the same time indicate significant differences among treatments with different concentrations (P < 0.05, Duncan’s method).

    图4可知,诱变时间相同时,EMS浓度越高,胚轴长度较对照组变短,整体呈下降趋势,EMS诱变时间与胚轴长度的关系总体也呈现相同的规律。诱变时间为8 h时,12 g·L−1 EMS处理与对照组相比,无显著差异,当EMS浓度逐渐升高,对照组胚轴长度显著长于不同处理,20 g·L−1 EMS处理胚轴长度为8.12 mm,是对照组的49.12%;当诱变时间为10 h,不同处理胚轴长度较对照组缩短5.03~9.55 mm,其中18 g·L−1 EMS处理胚轴长度最短,为6.58 mm,是对照组的41.38%;当诱变时间为12 h,对照组胚轴长度为15.78 mm,而16和18 g·L−1 EMS处理胚轴长度为分别5.64和4.33 mm,仅分别为对照组的35.74%和27.44%。同一诱变时间,EMS浓度越高,胚根长度逐渐变短。在诱变时间为8 h,20 g·L−1 EMS处理胚根长度最短,为8.49 mm,是对照组的23.18%;诱变时间为10 h,18 g·L−1 EMS处理胚根最短,为6.80 mm,是对照组的19.69%,当EMS浓度升至20 g·L−1时,无胚根长出;诱变12 h,16 g·L−1 EMS处理胚根最短,长度仅有4.35 mm,仅为对照组的12.79%,而随着EMS浓度的升高,12 h 18 g·L−1 EMS处理出现无胚根现象。以上结果表明EMS处理能够抑制大花紫薇种子萌发初期胚轴和胚根的生长,且EMS浓度越高、时间越长,种子萌发初期生长受抑制效应越强,胚轴及胚根越短,甚至完全抑制胚根的生长。

    图 4 不同EMS处理对大花紫薇种子胚轴和胚根长度的影响
    图  4  不同EMS处理对大花紫薇种子胚轴和胚根长度的影响
    各图中,相同时间柱子上方的不同小写字母表示不同浓度处理间差异显著(P < 0.05, Duncan’s法)。
    Figure  4.  Effects of different EMS treatments on hypocotyls length and radicle length of Lagerstroemia speciosa
    In each figure,different lowercase letters on bars of the same time indicate significant differences among treatments with different concentrations (P < 0.05, Duncan’s method).

    表2结果显示,不同EMS处理抑制了大花紫薇的萌发,EMS浓度越高,处理时间越长,其相对致死率越高。半致死剂量常为EMS诱变最适剂量,本研究中10 h 18 g·L−1 EMS处理相对致死率为55.02%,12 h 16 g·L−1EMS处理相对致死率为47.99%,以上2种处理与半致死剂量最为接近,可作为大花紫薇EMS诱变实际参考剂量。

    表  2  不同EMS处理对大花紫薇种子相对致死率的影响
    Table  2.  Effects of different EMS treatments on relative lethality of Lagerstroemia speciosa seeds
    t/h ρ/(g·L−1) 相对致死率1)/%
    Relative lethality
    8 0 0.00 ± 0.00d
    12 4.61 ± 1.54cd
    14 9.23 ± 4.07c
    16 24.61 ± 1.54b
    18 30.77 ± 2.66b
    20 75.39 ± 3.08a
    10 0 0.00 ± 0.00f
    12 6.68 ± 1.33e
    14 19.45 ± 2.19d
    16 28.57 ± 1.52c
    18 55.02 ± 2.70b
    20 92.40 ± 3.04a
    12 0 0.00 ± 0.00f
    12 8.67 ± 2.53e
    14 28.49 ± 2.46d
    16 47.99 ± 0.93c
    18 80.50 ± 3.22b
    20 100.00 ± 0.00a
     1) 相同时间同列数据后的不同小写字母表示差异显著(P < 0.05, Duncan’s法)。
     1) Different lowercase letters of the same column of the same time indicate significant differences (P < 0.05, Duncan’s method).
    下载: 导出CSV 
    | 显示表格

    不同EMS处理的大花紫薇种子萌发后移栽至穴盘,于植物生长室养护管理120 d后对其形态指标进行测定,结果见表3表4。由表3可知经过EMS处理的大花紫薇幼苗生长受到明显影响,随着EMS浓度升高和处理时间延长,其株高呈逐渐下降趋势,12 h 16 g·L−1 EMS处理株高最小,高度仅为8.28 cm。EMS处理组冠幅与地径也呈现出同样的变化规律,均随着浓度及处理时间的加大而下降,且12 h 16 g·L−1 EMS处理受到抑制也最为明显,此时冠幅和地径分别为9.66 cm和1.70 mm,仅达到对照组的49.90%和52.63%。

    表  3  不同EMS处理对大花紫薇幼苗生长的影响1)
    Table  3.  Effects of different EMS treatments on the growth of Lagerstroemia speciosa seedlings
    t/h ρ/(g·L−1) 株高/cm
    Plant
    height
    冠幅/cm
    Crown
    width
    地径/mm
    Ground
    diameter
    8 0 32.23 ± 0.53a 23.54 ± 1.69a 3.53 ± 0.11a
    12 22.61 ± 0.70b 18.22 ± 0.93b 2.87 ± 0.13b
    14 19.53 ± 0.66c 16.81 ± 1.06bc 2.51 ± 0.07c
    16 18.28 ± 0.64c 16.01 ± 0.61cd 2.09 ± 0.05d
    18 14.10 ± 0.30d 14.64 ± 0.34de 1.97 ± 0.12d
    20 11.15 ± 0.76e 13.25 ± 0.38e 2.00 ± 0.07d
    10 0 32.01 ± 0.24a 20.96 ± 0.58a 3.37 ± 0.05a
    12 20.49 ± 0.86b 15.23 ± 0.14b 2.51 ± 0.06b
    14 13.77 ± 0.56c 13.82 ± 0.60b 2.15 ± 0.05c
    16 10.87 ± 0.48d 10.94 ± 0.56c 1.87 ± 0.08d
    18 8.95 ± 0.52e 10.29 ± 0.30c 1.89 ± 0.05d
    20
    12 0 30.31 ± 0.16a 19.36 ± 0.86a 3.23 ± 0.08a
    12 16.29 ± 0.32b 13.73 ± 0.59b 2.29 ± 0.06b
    14 11.36 ± 0.48c 10.59 ± 0.22c 2.00 ± 0.06c
    16 8.28 ± 0.30d 9.66 ± 0.25c 1.70 ± 0.03d
    18
    20
     1) 相同时间同列数据后的不同小写字母表示差异显著(P < 0.05, Duncan’s法)。
     1) Different lowercase letters of the same column of the same time indicate significant differences (P < 0.05, Duncan’s method).
    下载: 导出CSV 
    | 显示表格
    表  4  不同EMS处理对大花紫薇幼苗叶片的影响1)
    Table  4.  Effects of different EMS treatments on the leaves of Lagerstroemia speciosa seedlings
    t/h ρ/(g·L−1) 叶长/cm
    Leaf length
    叶宽/cm
    Leaf width
    叶形指数
    Leaf index
    叶面积/cm2
    Leaf area
    8 0 14.69 ± 0.41a 7.23 ± 0.25a 2.03 ± 0.02b 84.70 ± 3.94a
    12 12.89 ± 0.43b 6.16 ± 0.23b 2.10 ± 0.05b 65.05 ± 2.44b
    14 12.89 ± 0.26b 6.12 ± 0.04b 2.11 ± 0.04b 62.18 ± 1.14b
    16 10.47 ± 0.38c 4.89 ± 0.12c 2.15 ± 0.03b 38.68 ± 3.33c
    18 10.10 ± 0.35c 4.81 ± 0.17c 2.12 ± 0.01b 40.07 ± 3.18c
    20 8.73 ± 0.65c 3.71 ± 0.33d 2.44 ± 0.04a 28.45 ± 4.62d
    10 0 14.70 ± 0.27a 7.25 ± 0.16a 2.03 ± 0.01c 85.90 ± 2.03a
    12 12.03 ± 0.30b 5.79 ± 0.16b 2.08 ± 0.02bc 59.68 ± 0.97b
    14 9.88 ± 0.29c 4.71 ± 0.16c 2.10 ± 0.03bc 38.69 ± 1.04c
    16 8.58 ± 0.31d 4.01 ± 0.11d 2.16 ± 0.02b 30.22 ± 1.38d
    18 7.71 ± 0.12d 3.30 ± 0.07e 2.42 ± 0.02a 21.08 ± 1.03e
    20
    12 0 14.95 ± 0.08a 7.34 ± 0.10a 2.04 ± 0.01b 78.47 ± 0.31a
    12 11.81 ± 0.04b 5.65 ± 0.04b 2.09 ± 0.01b 53.41 ± 0.39b
    14 9.89 ± 0.46c 4.62 ± 0.26c 2.14 ± 0.02b 36.96 ± 0.92c
    16 9.04 ± 0.21c 3.89 ± 0.16d 2.42 ± 0.08a 29.32 ± 1.56d
    18
    20
     1) 相同时间同列数据后的不同小写字母表示差异显著(P < 0.05, Duncan’s法)。
     1) Different lowercase letters of the same column of the same time indicate significant differences (P < 0.05, Duncan’s method).
    下载: 导出CSV 
    | 显示表格

    表4反映了不同EMS处理对大花紫薇幼苗叶片的影响,结果显示EMS处理组的叶长、叶宽及叶面积均受到抑制,与对照组差异显著,并且随着EMS浓度和处理时间的加大,抑制作用越明显,10 h 18 g·L−1 EMS处理叶片生长受抑制情况最强,其叶长为7.71 cm,叶宽为3.30 cm,叶面积为21.08 cm2,分别是对照组的52.45%、45.52%和24.54%。叶形指数受EMS处理影响不明显,不同处理组随着EMS浓度的升高,叶形指数缓慢递增。当处理时间为8 h时,不同浓度EMS处理组叶形指数为2.10~2.44,当处理时间为10 h时,不同浓度EMS处理组叶形指数为2.08~2.42,当处理时间为12 h时,不同浓度EMS处理组叶形指数为2.09~2.42。此外,由于12 h 18 g·L−1 EMS和12 h 20 g·L−1 EMS处理导致种子萌发无胚根产生,相关处理组移栽后无存活植株。

    EMS处理对种子发芽具有抑制作用,且浓度越高抑制作用越明显,这是因为EMS浓度越高越易溶解产生有机酸,毒害作用越强,对种子造成不可逆的严重损伤[]。王育川等[]研究发现,随着EMS浓度和处理时间的加大,藜麦Chenopodium quinoa种子发芽势和发芽率呈现下降趋势,表明诱变剂EMS对种子发芽率及发芽势具有抑制作用。本研究通过设置不同浓度EMS和处理时间对大花紫薇进行诱变发现,EMS处理能够显著影响大花紫薇种子的发芽,随着EMS浓度的升高,处理时间的加长,发芽率、发芽势和发芽指数均减小,结果与前人结论一致。EMS处理影响种子发芽进程。本研究中随着EMS浓度及处理时间的加大,发芽起始时间变晚,发芽持续时间变长,但高浓度、长时间的处理组合下,可能由于诱变剂的毒害作用使得发芽种子数变少,发芽持续时间变短。该结论与伊风艳等[]用EMS处理黄花苜蓿Medicago falcata种子的结论一致,但不同于赵塔等[]处理党参Codonopsis pilosula种子的结果,不同之处在于党参种子发芽持续时间随着EMS浓度的升高而变短,这种差异可能是植物种类不同造成的,EMS处理降低大花紫薇种子活力,使种子发芽不整齐,造成发芽持续时间延长。胚轴及胚根的生长也受到EMS处理的影响。本研究结果显示,大花紫薇种子胚轴及胚根的长度与EMS浓度和处理时间呈负相关,这与李颜方等[]对谷子‘晋谷21号’Setaria italica var. germanica进行EMS诱变时所获结果一致。

    大量研究表明植株诱变相对致死率达50%时的剂量可作为EMS诱变最佳剂量,不仅可以保证获得更多的突变体植株,又可以增加植物多样性[-]。本研究结合大花紫薇种子发芽相对致死率及胚轴、胚根生长情况确定大花紫薇的EMS最适诱变剂量为10 h 18 g·L−1 EMS处理和12 h 16 g·L−1 EMS处理,该结果与伍汉斌等[]对同属的紫薇进行EMS诱变时获得的半致死剂量相差较大,原因可能是选用的育种方式不同,本研究选用培养皿催芽,而后者选用沙藏法进行紫薇育苗,最终造成结果差异较大。因此,植物EMS诱变育种在剂量选择时需根据物种、条件进行调整,本研究得到的大花紫薇适宜的诱变剂量仅在本文特定的条件下使用,实际生产中可能需在此基础做出微调。

    EMS诱变为不定向诱变,但不同处理组合对植物生长会产生一定的效应,且这种效应与EMS浓度及处理时间存在一定的关系[]。续言等[]研究发现高浓度的EMS处理促进尾叶紫薇叶片增大,较低浓度EMS处理则促进株高增长,而对幼苗的冠幅和地径等的处理效应不明显。常媚瑕[]在EMS诱变朝天椒Capsium annuum var. conoides研究中发现,随着EMS浓度的升高、处理时间的延长,大花紫薇幼苗在株高、冠幅、地径、叶长、叶宽、叶面积等方面均受到抑制,而叶形指数较对照处理变大。本研究结果与前者存在差异,和后者相一致,这可能是因为EMS诱变效应存在很大的随机性,处理个体差异较大,在选苗测定时导致差异的产生,为探究具体变化规律需加大测定样本进行进一步分析。

    表型性状的突变类型及突变频率对评价诱变群体具有重要意义[]。张慧等[]认为EMS诱变后产生的多为隐性突变,突变性状在M1代很少表现,只有经过自交后才能有所表现,因此有关诱变的研究不在M1代对诱变植株进行选择;而Greene等[]则认为EMS诱发的突变以显性突变为主,诱变性状多为主基因控制的性状,便于突变体的筛选。木本植物生长周期较长,即使是显性突变,也需要在植物成熟后才能确定,本研究EMS诱导获得的大花紫薇植株目前尚不能确定是否发生有益突变,未来将长期对其进行观测,期望能够获得理想的突变单株。

    目前,EMS诱导大花紫薇研究鲜见报道,对其影响大花紫薇种子萌发的情况更是知之甚少。本研究通过设置不同浓度EMS溶液和诱变时间,探究出不同处理对大花紫薇种子萌发、幼苗生长及叶片情况的动态影响,进而确定了大花紫薇种子EMS诱变最佳剂量。利用大花紫薇种子进行EMS诱变时,EMS浓度越高、诱导时间越长,种子发芽率、发芽势及发芽指数受到抑制越明显,萌发初期的生长受抑制效应越强,胚轴及胚根越短,甚至会完全抑制胚根的生长,导致移栽无法存活。最终以半致死剂量作为大花紫薇种子EMS诱变标准,本研究确定了16 g·L−1 EMS处理12 h和18 g·L−1 EMS处理10 h是大花紫薇适宜的诱变剂量,为后续大花紫薇种质资源挖掘、创新利用及优良品系创制提供了材料和理论依据。

  • 图  1   不同SVA感染时间(A)和感染剂量(B)条件下PK-15细胞中miR-1285的表达量

    “*”“**”分别表示处理与对照在P < 0.05和P < 0.01水平差异显著(Duncan’s法)

    Figure  1.   Expression of miR-1285 in PK-15 cells infected by SVA at different infection time (A) and dosages (B)

    “*” and “**” represented statistical difference in comparison with control group at P < 0.05 and P < 0.01 levels respectively (Duncan’s method)

    图  2   miR-1285与DDX3X的靶向结合位点

    Figure  2.   Targeted binding site between miR-1285 and DDX3X

    图  3   转染miR-1285 mimics、inhibitor至PK-15细胞后DDX3X蛋白的表达

    Figure  3.   DDX3X protein expression after the transfection of miR-1285 mimics, inhibitor into PK-15 cells

    图  4   转染miR-1285 mimics、inhibitor至PK-15细胞后DDX3X的mRNA相对表达量

    “**”表示处理与对照在P < 0.01水平差异显著 (Duncan’s 法)

    Figure  4.   The relative expression of DDX3X mRNA after transfection of miR-1285 mimics and inhibitor into PK-15 cells

    “**” represented statistical difference in comparison with control group at P < 0.01 level (Duncan’s method)

    图  5   转染不同DDX3X重组载体质粒至PK-15细胞后miR-1285双荧光素酶活性

    “*”表示处理与对照在P < 0.05水平差异显著 (Duncan’s 法)

    Figure  5.   The relative dual-luciferase activity of miR-1285 after transfection of different DDX3X recombinant vector plasmids into PK-15 cells

    “*” represented statistical difference in comparison with control group at P < 0.05 level (Duncan’s method)

    图  6   miR-1285及其靶标DDX3X对IFN-β mRNA表达的调控作用

    “*”和“**”分别表示处理与对照在P < 0.05和P < 0.01水平差异显著(Duncan’s法)

    Figure  6.   Regulation effects of miR-1285 and its target DDX3X on the mRNA expression of IFN-β

    “*” and “**” represented statistical difference in comparison with control group at P < 0.05 and P < 0.01 levels respectively (Duncan’s method)

    图  7   miR-1285及其靶标DDX3X对IFN-β 蛋白表达的调控作用

    Figure  7.   Regulation effects of miR-1285 and its target DDX3X on the protein expression of IFN-β

    图  8   miR-1285对RIG-I通路信号转导分子的影响

    “*”表示处理与对照在P < 0.05水平差异显著(Duncan’s法)

    Figure  8.   Effects of miR-1285 on signal transduction molecules of the RIG-I pathway

    “*” represented statistical difference in comparison with control group at P < 0.05 level respectively (Duncan’s method)

    图  9   DDX3X沉默对RIG-I通路信号转导分子的影响

    “*”和“**”分别表示处理与对照在P < 0.05和P < 0.01水平差异显著(Duncan’s法)

    Figure  9.   Effects of DDX3X silencing on signal transduction molecules of the RIG-I pathway

    “*” and “**” represented statistical difference in comparison with control group at P < 0.05 and P < 0.01 levels respectively (Duncan’s method)

    图  10   miR-1285及其靶标DDX3X对SVA 3C表达的影响

    “**”表示处理与对照在P < 0.01水平差异显著(Duncan’s法)

    Figure  10.   Effects of miR-1285 and its target DDX3X on the expression of SVA 3C

    “**” represented statistical difference in comparison with control group at P < 0.01 level respectively (Duncan’s method)

    表  1   基因引物序列

    Table  1   Primer sequences of genes

    基因名称 Gene name 引物/探针序列(5′→3′) Primer/Probe sequence θ退火/ ℃ Annealing temperature 产物大小/bp Product size 文献 Reference
    RIG-I F: ATCCCAGCAACGAGAA 60 188 [36]
    R: GCCACGTCCAGTCAAT
    MDA5 F: GAGGAATCAGCACGAGGAA 58 73 [37]
    R: GTCAGTAATCCACTGGGA
    MAVS F: ATAGCCAGCCTTTCTCGG 60 237 [36]
    R: TAGCCTCAGTCTTGACCTCTTC
    TRAF3 F: GTGTCAAGAAGGCATCG 60 164 [36]
    R: CCTCAAACTGGCAATCA
    TANK F: GGACGCCTTGAACTACCTGT 60 119
    R: GCCTGCCGAAAGGCTTCATA
    TBK1 F: GCCTTTCTCGGGGTCTTCAA 60 74
    R: ACACTTTTCCTGATCCGCCT
    IRF3 F: CCAGTGGTGCCTACACTCCT 61 191 [38]
    R: AGAGGTGTCTGGCTCAGGAA
    IRF7 F: CGCCTCCTGGAAAACCAA 60 76 [37]
    R: CCCTGAGTTGTCCTGCAACA
    IFN-β F: GCTAACAAGTGCATCCTCCAAA 60 77 [39]
    R:AGCACATCATAGCTCATGGAAAGA
    GAPDH F: ACATGGCCTCCAAGGAGTAAGA 60 106 [40]
    R: GATCGAGTTGGGGCTGTGACT
    SVA-3C F: GAGCTTCAATCTCCTAGA 59 115
    R: GTGTCATCATTCTCGTTAG
    探针 Probe CAGACATTCGAGCCAAGCAACAA 69
    下载: 导出CSV
  • [1]

    YATES L A, NORBURY C J, GIBERT R J C. The long and short of microRNA[J]. Cell, 2013, 153(3): 516-519. doi: 10.1016/j.cell.2013.04.003

    [2]

    CHENG J, WU R, LONG L, et al. MiRNA-451a targets IFN regulatory factor 8 for the progression of systemic lupus erythematosus[J]. Inflammation, 2017, 40(2): 676-687. doi: 10.1007/s10753-017-0514-8

    [3]

    WANG L, ZHOU L, HU D, et al. Porcine reproductive and respiratory syndrome virus suppresses post-transcriptionally the protein expression of IFN-β by upregulating cellular microRNAs in porcine alveolar macrophages in vitro[J]. Experimental and Therapeutic Medicine, 2018, 15(1): 115-126.

    [4]

    MORIN R D, O’CONNOR M D, GRIFFITH M, et al. Application of massively parallel sequencing to microRNA profiling and discovery in human embryonic stem cells[J]. Genome Research, 2008, 18(4): 610-621. doi: 10.1101/gr.7179508

    [5]

    ANTHON C, TAFER H, HAVGAARD J H, et al. Structured RNAs and synteny regions in the pig genome[J]. BMC Genomics, 2014, 15: 459. doi: 10.1186/1471-2164-15-459.

    [6]

    GAO X, WANG Y, ZHAO H, et al. Plasma miR-324-3p and miR-1285 as diagnostic and prognostic biomarkers for early stage lung squamous cell carcinoma[J]. Oncotarget, 2016, 7(37): 59664-59675. doi: 10.18632/oncotarget.11198

    [7]

    BORRELLI N, DENARO M, UGOLINI C, et al. MiRNA expression profiling of ‘noninvasive follicular thyroid neoplasms with papillary-like nuclear features’ compared with adenomas and infiltrative follicular variants of papillary thyroid carcinomas[J]. Modern Pathology, 2017, 30(1): 39-51. doi: 10.1038/modpathol.2016.157

    [8]

    LIU J, YAN J, ZHOU C, et al. MiR-1285-3p acts as a potential tumor suppressor miRNA via down regulating JUN expression in hepatocellular carcinoma[J]. Tumor Biology, 2015, 36: 219-225. doi: 10.1007/s13277-014-2622-5

    [9]

    HUANG H, XIONG G, SHEN P, et al. MicroRNA-1285 inhibits malignant biological behaviors of human pancreatic cancer cells by negative regulation of YAP1[J]. Neoplasma, 2017, 64(3): 358-366. doi: 10.4149/neo_2017_306

    [10]

    LIAO J, LI Q, HU Z, et al. Mitochondrial miR-1285 regulates copper-induced mitochondrial dysfunction and mitophagy by impairing IDH2 in pig jejunal epithelial cells[J]. Journal of Hazardous Materials, 2022, 422: 126899. doi: 10.1016/j.jhazmat.2021.126899.

    [11]

    VENKATARAMANNAN S, GADEK M, CALVIELLO L, et al. DDX3X and DDX3Y are redundant in protein synthesis[J]. RNA, 2021, 27(12): 1577-1588. doi: 10.1261/rna.078926.121

    [12]

    VAN VOSS M R H, KAMMERS K, VESUNA F, et al. Global effects of DDX3 inhibition on cell cycle regulation identified by a combined phosphoproteomics and single cell tracking approach[J]. Translational Oncology, 2018, 11(3): 755-763. doi: 10.1016/j.tranon.2018.04.001

    [13]

    HEATON S M, BORG N A, DIXIT V M. Ubiquitin in the activation and attenuation of innate antiviral immunity[J]. Journal of Experimental Medicine, 2016, 213(1): 1-13. doi: 10.1084/jem.20151531

    [14]

    HATHAICHOTI S, VISITNONTHACHAI D, NGAMSIRI P, et al. Paraquat induces extrinsic pathway of apoptosis in A549 cells by induction of DR5 and repression of anti-apoptotic proteins, DDX3 and GSK3 expression[J]. Toxicology in Vitro, 2017, 42: 123-129. doi: 10.1016/j.tiv.2017.04.016

    [15]

    LIN T C. DDX3X multifunctionally modulates tumor progression and serves as a prognostic indicator to predict cancer outcomes[J]. International Journal of Molecular Sciences, 2019, 21(1): 281. doi: 10.3390/ijms21010281.

    [16]

    SOULAT D, BŰRCKSTŰMMER T, WESTERMAYER S, et al. The DEAD-box helicase DDX3X is a critical component of the TANK-binding kinase 1-dependent innate immune response[J]. EMBO Journal, 2008, 27(15): 2135-2146. doi: 10.1038/emboj.2008.126

    [17]

    SCHRŐDER M, BARAN M, BOWIE A G. Viral targeting of DEAD box protein 3 reveals its role in TBK1/IKKepsilon-mediated IRF activation[J]. EMBO Journal, 2008, 27(15): 2147-2157. doi: 10.1038/emboj.2008.143

    [18]

    OSHIUMI H, SAKAI K, MATSUMOT M, et al. DEAD/H BOX 3 (DDX3) helicase binds the RIG-I adaptor IPS-1 to up-regulate IFN-β-inducing potential[J]. European Journal of Immunology, 2010, 40(4): 940-948. doi: 10.1002/eji.200940203

    [19]

    SZAPPANOS D, TSCHISMAROV R, PERLOT T, et al. The RNA helicase DDX3X is an essential mediator of innate antimicrobial immunity[J]. PLoS Pathogens, 2018, 14(11): e1007397. doi: 10.1371/journal.ppat.1007397

    [20]

    ADAMS M J, LEFKOWITZ E J, KING A M Q, et al. Ratification vote on taxonomic proposals to the international committee on taxonomy of viruses[J]. Archives of Virology, 2016, 161(10): 2921-2949. doi: 10.1007/s00705-016-2977-6

    [21]

    VANNUCCI F A, LINHARES D C L, BARCELLOS D E S N, et al. Identification and complete genome of Seneca Valley virus in vesicular fluid and sera of pigs affected with idiopathic vesicular disease, Brazil[J]. Transboundary Emerging Disease, 2015, 62: 589-593. doi: 10.1111/tbed.12410

    [22]

    CANNING P, CANON A, BATES J L, et al. Neonatal mortality, vesicular lesions and lameness associated with Senecavirus A in a U. S. sow farm[J]. Transboundary and Emerging Disease, 2016, 63(4): 373-378. doi: 10.1111/tbed.12516

    [23]

    ZHANG X L, ZHU Z X, YANG F, et al. Review of Seneca Valley virus: A call for increased surveillance and research[J]. Frontiers in Microbiology, 2018, 9: 940. doi: 10.3389/fmicb.2018.00940.

    [24]

    FERNANDES M H V, MAGGIOLI M F, OTTA J, et al. Senecavirus A 3C protease mediates host cell apoptosis late in infection[J]. Frontiers in Immunology, 2019, 10: 363. doi: 10.3389/fimmu.2019.00363.

    [25]

    LEME R A, OLIVEIRA T E S, ALFIERI A F, et al. Pathological, immunohistochemical and molecular findings associated with Senecavirus A-induced lesions in neonatal piglets[J]. Journal of Comparative Pathology, 2016, 155(2/3): 145-155.

    [26]

    HAUSE B M, MYERS O, DUFF J, et al. Senecavirus A in pigs, United States, 2015[J]. Emerging Infectious Diseases, 2016, 22(7): 1323-1325. doi: 10.3201/eid2207.151591

    [27]

    XU W, HOLE K, GOOLIA M, et al. Genome wide analysis of the evolution of Senecavirus A from swine clinical material and assembly yard environmental samples[J]. PLoS One, 2017, 12(5): e0176964. doi: 10.1371/journal.pone.0176964

    [28]

    WU Q, ZHAO X, BAI Y, et al. The first identification and complete genome of Senecavirus A affecting pig with idiopathic vesicular disease in China[J]. Transboundary and Emerging Disease, 2017, 64(5): 1633-1640. doi: 10.1111/tbed.12557

    [29]

    SAENG-CLUTO K, RODTIAN P, TEMEEYASEN G, et al. The first detection of Senecavirus A in pigs in Thailand, 2016[J]. Transboundary and Emerging Disease, 2018, 65(1): 285-288. doi: 10.1111/tbed.12654

    [30]

    SUN D, VANNUCCI F, KNUTSON T P, et al. Emergence and whole-genome sequence of Senecavirus A in Colombia[J]. Transboundary and Emerging Diseases, 2017, 64(5): 1346-1349. doi: 10.1111/tbed.12669

    [31]

    ARZT J, BERTRAM M R, VU L T, et al. First detection and genome sequence of Senecavirus A in Vietnam[J]. Microbiology Resource Announcements, 2019, 8(3). doi: 10.1128/MRA.01247-18.

    [32]

    SUN Y, CHENG J, WU R T, et al. Phylogenetic and genome analysis of 17 novel Senecavirus A isolates in Guangdong Province, 2017[J]. Frontiers in Veterinary Science, 2018, 5: 314. doi: 10.3389/fvets.2018.00314.

    [33]

    QIAN S, FAN W, QIAN P, et al. Isolation and full-genome sequencing of Seneca Valley virus in piglets from China, 2016[J]. Virology Journal, 2016, 13: 173. doi: 10.1186/s12985-016-0631-2.

    [34]

    ZHU Z, YANG F, CHEN P, et al. Emergence of novel Seneca Valley virus strains in China, 2017[J]. Transboundary and Emerging Diseases, 2017, 64(4): 1024-1029. doi: 10.1111/tbed.12662

    [35]

    WANG H, LI C, ZHAO B, et al. Complete genome sequence and phylogenetic analysis of Senecavirus A isolated in Northeast China in 2016[J]. Archives of Virology, 2017, 162(10): 3173-3176. doi: 10.1007/s00705-017-3480-4

    [36]

    ZHANG J, MIAO J, HOU J, et al. The effects of H3N2 swine influenza virus infection on TLRs and RLRs signaling pathways in porcine alveolar macrophages[J]. Virology Journal, 2015, 12: 61. doi: 10.1186/s12985-015-0284-6.

    [37] 谢立兰. 伪狂犬病毒和猪传染性胃肠炎病毒诱导β干扰素产生的分子机制研究[D]. 武汉: 华中农业大学, 2011.
    [38]

    ISLAM M A, GROßE-BRINKHAUS C, PRŐLL M J, et al. Deciphering transcriptome profiles of peripheral blood mononuclear cells in response to PRRSV vaccination in pigs[J]. BMC Genomics, 2016, 17: 641. doi: 10.1186/s12864-016-2849-1.

    [39] 王荡. 口蹄疫病毒Lpro和3Cpro调控宿主抗病毒天然免疫反应的分子机制研究[D]. 武汉: 华中农业大学, 2011.
    [40] 王国庆. 口蹄疫病毒2B蛋白拮抗RIG-I抗病毒作用研究[D]. 兰州: 甘肃农业大学, 2015.
    [41]

    DERRICK T, ROBERTS C H, RAJASEKHAR M, et al. Conjunctival microRNA expression in inflammatory trachomatous scarring[J]. PLoS Neglected Tropical Diseases, 2013, 7(3): e2117. doi: 10.1371/journal.pntd.0002117

    [42]

    KAUR S, KRISHN S R, RACHAGANI S, et al. Significance of microRNA-based biomarkers for pancreatic cancer[J]. Annals of Translational Medicine, 2015, 3(18): 277.

    [43]

    LIU Y, XU X, XU X, et al. MicroRNA-193a-3p inhibits cell proliferation in prostate cancer by targeting cyclin D1[J]. Oncology Letters, 2017, 14(5): 5121-5128.

    [44]

    MORGUL M H, KLUNK S, ANASTASIADOU Z, et al. Diagnosis of HCC for patients with cirrhosis using miRNA profiles of the tumor-surrounding tissue: A statistical model based on stepwise penalized logistic regression[J]. Experimental and Molecular Pathology, 2016, 101(2): 165-171. doi: 10.1016/j.yexmp.2016.07.014

    [45]

    POIRIER J T, DOBROMILSKAVA I, MORIARTY W F, et al. Selective tropism of Seneca Valley virus for variant subtype small cell lung cancer[J]. Journal of the National Cancer Institute, 2013, 105(14): 1059-1065. doi: 10.1093/jnci/djt130

    [46]

    ZHOU Z H, SUN Y, YAN X L, et al. Swine acute diarrhea syndrome coronavirus (SADS-CoV) antagonizes interferon-β production via blocking IPS-1 and RIG-I[J]. Virus Research, 2020, 278: 197843. doi: 10.1016/j.virusres.2019.197843.

    [47]

    ANDREJEVA J, CHILDS K S, YOUNG D F, et al. The V proteins of paramyxoviruses bind the IFN-inducible RNA helicase, mda-5, and inhibit its activation of the IFN-beta promoter[J]. Proceedings of the National Academy of Sciences of the United States of America, 2004, 101(49): 17264-17269. doi: 10.1073/pnas.0407639101

    [48]

    CAO L, GE X, GAO Y, et al. Porcine epidemic diarrhea virus inhibits dsRNA-induced interferon-beta production in porcine intestinal epithelial cells by blockade of the RIG-I-mediated pathway[J]. Virology Journal, 2015, 12: 127. doi: 10.1186/s12985-015-0345-x.

    [49]

    CHEN Q, LIU Q, LIU D, et al. Molecular cloning, functional characterization and antiviral activity of porcine DDX3X[J]. Biochemical and Biophysical Research Communications, 2014, 443(4): 1169-1175. doi: 10.1016/j.bbrc.2013.12.098

    [50]

    ZHAO X, WU Q, BAI Y, et al. Phylogenetic and genome analysis of seven Senecavirus A isolates in China[J]. Transboundary and Emerging Diseases, 2017, 64(6): 2075-2082. doi: 10.1111/tbed.12619

    [51]

    THOMPSON S R, SARNOW P. Regulation of host cell translation by viruses and effects on cell function[J]. Current Opinion in Microbiology, 2000, 3(4): 366-370. doi: 10.1016/S1369-5274(00)00106-5

    [52]

    QIAN S, FAN W, LIU T, et al. Seneca Valley virus suppresses host type I interferon production by targeting adaptor proteins MAVS, TRIF, and TANK for cleavage[J]. Journal of Virology, 2017, 91(16): e00823-17.

    [53]

    LIU T, LI X, WU M, et al. Seneca Valley virus 2C and 3Cpro induce apoptosis via mitochondrion-mediated intrinsic pathway[J]. Frontiers in Microbiology, 2019, 10: 1202. doi: 10.3389/fmicb.2019.01202.

    [54]

    XUE Q, LIU H, ZHU Z, et al. Seneca Valley Virus 3C protease negatively regulates the type I interferon pathway by acting as a viral deubiquitinase[J]. Antiviral Research, 2018, 160: 183-189. doi: 10.1016/j.antiviral.2018.10.028

图(10)  /  表(1)
计量
  • 文章访问数:  1365
  • HTML全文浏览量:  15
  • PDF下载量:  32
  • 被引次数: 0
出版历程
  • 收稿日期:  2022-05-18
  • 网络出版日期:  2023-05-17
  • 刊出日期:  2023-05-09

目录

Corresponding author: MA Jingyun, majy2400@scau.edu.cn

  1. On this Site
  2. On Google Scholar
  3. On PubMed

/

返回文章
返回