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番石榴果实品质评价及黄酮类化合物合成相关基因挖掘

邵雪花, 赖多, 肖维强, 刘传和, 贺涵, 匡石滋

邵雪花, 赖多, 肖维强, 等. 番石榴果实品质评价及黄酮类化合物合成相关基因挖掘[J]. 华南农业大学学报, 2023, 44(2): 245-253. DOI: 10.7671/j.issn.1001-411X.202211005
引用本文: 邵雪花, 赖多, 肖维强, 等. 番石榴果实品质评价及黄酮类化合物合成相关基因挖掘[J]. 华南农业大学学报, 2023, 44(2): 245-253. DOI: 10.7671/j.issn.1001-411X.202211005
SHAO Xuehua, LAI Duo, XIAO Weiqiang, et al. Evaluation of guava fruit quality and mining of genes related to flavonoid synthesis[J]. Journal of South China Agricultural University, 2023, 44(2): 245-253. DOI: 10.7671/j.issn.1001-411X.202211005
Citation: SHAO Xuehua, LAI Duo, XIAO Weiqiang, et al. Evaluation of guava fruit quality and mining of genes related to flavonoid synthesis[J]. Journal of South China Agricultural University, 2023, 44(2): 245-253. DOI: 10.7671/j.issn.1001-411X.202211005

番石榴果实品质评价及黄酮类化合物合成相关基因挖掘

基金项目: 广东省乡村振兴战略专项“现代种业提升项目”(粤农计[2018]36号);广州市科技特派员项目(20212100062)
详细信息
    作者简介:

    邵雪花,助理研究员,博士,主要从事番石榴栽培育种研究,E-mail: sxh19831017@163.com

    通讯作者:

    匡石滋,研究员,主要从事果树育种研究,E-mail: kuangshizi@126.com

  • 中图分类号: S667.9

Evaluation of guava fruit quality and mining of genes related to flavonoid synthesis

  • 摘要:
    目的 

    综合评价番石榴Psidium guajava不同品种间的果实品质差异并挖掘黄酮类化合物合成的关键基因。

    方法 

    对番石榴6个品种的11个果实品质指标进行测定,并结合主成分分析方法综合评价其品质差异,运用转录组测序技术比较各品种间的差异表达基因(Differentially expressed gene, DEG),通过 GO 和 KEGG 富集分析,挖掘黄酮类化合物合成的DEG,利用实时荧光定量 PCR (Quantitative real-time PCR,qRT-PCR)研究DEG在不同品种间的特异性表达。

    结果 

    6种番石榴试材中‘金斗香’和‘胭脂红’品质最优,得分较高,‘水晶’和‘西瓜红’较低,‘珍珠’和‘红宝石’居中;‘金斗香’和‘胭脂红’的类黄酮质量分数较高,分别为9.76和10.05 mg/g,是‘水晶’(5.74 mg/g)的1.5倍以上,显著高于其他品种(P>0.05)。转录组测序分析显示,‘金斗香’和‘胭脂红’的DEG聚为一类,其余4种的DEG聚为一类。黄酮类化合物的生物合成途径中CHS、FLS、CYP73A、CYP98A3、DFR、E2.1.1.104、E1.14.11.19CYP75A基因在‘金斗香’和‘胭脂红’中表达量显著上调。qRT-PCR验证结果表明,FLS基因在‘胭脂红’中表达量最高,是‘西瓜红’的10倍以上;CYP73A、CYP75A、E2.1.1.104CHS基因在‘金斗香’中表达量最高,‘珍珠’中表达量最低,其中CYP73ACYP75A基因在‘金斗香’中的表达量是‘珍珠’的30倍以上;而DFR基因在‘胭脂红’中表达量较高,‘金斗香’中表达量较低。qRT-PCR检测到DEG的表达水平与转录组测序结果一致,证明番石榴6个品种的转录组测序结果可靠。

    结论 

    本研究系统评价了6种番石榴果实品质差异,并挖掘到8个与番石榴黄酮类化合物合成相关的关键基因,为后期番石榴的品种选育、功能基因挖掘和黄酮类化合物的生物合成途径等研究提供科学依据。

    Abstract:
    Objective 

    The purpose of this study was to comprehensively evaluate the differences in fruit quality among different guava (Psidium guajava) cultivars and explore key genes for flavonoid synthesis.

    Method 

    A total of 11 fruit quality indexes of six guava cultivars were measured and principal component analysis was carried out. Transcriptome sequencing technology was used to compare the differentially expressed genes (DEGs) among the cultivars, and GO and KEGG enrichment analyses were carried out to mine the DEGs of flavonoid synthesis. Quantitative real-time PCR (qRT-PCR) was used to study the specific expression of differential genes in different cultivars.

    Result 

    Among the six guava cultivars, ‘Jindouxiang’ and ‘Yanzhihong’ scored higher, ‘Shuijing’ and ‘Xiguahong’ scored lower, and ‘Zhenzhu’ and ‘Hongbaoshi’ scored in the middle. The flavonoid contents of ‘Jindouxiang’ and ‘Yanzhihong’ were significantly higher compared to other cultivars (P>0.05), which were 9.76 and 10.05 mg/g, respectively, more than 1.5 times that of ‘Shuijing’ (5.74 mg/g). Transcriptome sequencing analysis showed that the DEGs of ‘Jindouxiang’ and ‘Yanzhihong’ were clustered into one category, and the DEGs of the other four cultivars were clustered into one category.CHS, FLS, CYP73A, CYP98A3, DFR, E2.1.1.104, E1.14.11.19 and CYP75A genes in the biosynthetic pathway of flavonoids were significantly up-regulated in ‘Jindouxiang’ and ‘Yanzhihong’. qRT-PCR verification showed that the expression of FLS gene was the highest in ‘Yanzhihong’, which was more than 10 times of that in ‘Xiguahong’. The expression levels of CYP73A, CYP75A, E2.1.1.104 and CHS genes were the highest in ‘Jindouxiang’ and the lowest in ‘Zhenzhu’. Among them, the expression levels ofCYP73A and CYP75A genes in ‘Jindouxiang’ were more than 30 times of those in ‘Zhenzhu’, while the expression level of DFR gene was higher in ‘Yanzhihong’ and lower in ‘Jindouxiang’. The expression levels of DEGs were consistent comparing the qRT-PCR and transcriptome sequencing results, indicating the transcriptome sequencing results of six guava cultivars were reliable.

    Conclusion 

    The quality differences of six guava cultivars were systematically evaluated, and eight key genes related to the synthesis of guava flavonoids were discovered. This study provides a scientific basis for the research of guava cultivar breeding, functional gene mining and biosynthetic pathway of flavonoids.

  • 图  1   6个品种番石榴果实差异基因(DEG)的表达情况

    a:差异基因表达量热图;b:类黄酮合成信号通路中的DEG; G1:红宝石,G2:西瓜红,G3:胭脂红,G4:珍珠,G5:水晶,G6:金斗香

    Figure  1.   The expressions of differential genes (DEGs) in fruits of six guava cultivars

    a:Heat map of differential gene expression; b: The DEGs in flavonoid synthesis signaling pathway; G1: Hongbaoshi, G2: Xiguahong, G3: Yanzhihong, G4: Zhenzhu, G5: Shuijing, G6: Jindouxiang

    图  2   差异表达基因的qRT-PCR分析

    G1:红宝石;G2:西瓜红;G3:胭脂红;G4:珍珠;G5:水晶;G6:金斗香

    Figure  2.   The qRT-PCR analysis of differentially expressed genes

    G1: Hongbaoshi; G2: Xiguahong; G3: Yanzhihong; G4: Zhenzhu; G5: Shuijing; G6: Jindouxiang

    表  1   差异表达基因的qRT-PCR引物序列

    Table  1   Primer sequences of differentially expressed genes for qRT-PCR

    基因名称 Gene name 上游引物序列(5′→3′) Forward primer sequence 下游引物序列(5′→3′) Reverse primer sequence
    FLS ATGGAGGTGGAGAGAGTTCAAGC CTTAGCATATTCCTTGTTGGCCT
    CYP73A CAATTGAGACAACACTATGGTCGAT TTCTTCAGGGTTTTTCCAGTGG
    CYP75A TATGGTGTTTGCTCATTACGGATC AGCAACATGCTCCTCAATCATG
    CHS GTCCCTAAGCTAGGCAAAGAAGC CGAAGATGGGTTTCTCTCCGA
    DFR CTGACTCTCTGGAAGGCCGA GGATTCGCAGAGATCGTCGG
    E2.1.1.104 ATGGAAGAGAAAATGAAAGCAGCA TTTCCATCATCAGGAATTGCTAGG
    GAPDH TTGCTGGACGCGTCGCAC GGAGCAGCGGAAGTCGACG
    下载: 导出CSV

    表  2   番石榴果实的营养成分比较1)

    Table  2   Comparison of the nutritional components of guava fruits

    品种 Cultivar w/% w/(mg·g−1)
    可溶性 固形物 Soluble solid 总酸 Total acid 总糖 Total sugar 还原糖 Reducing sugar 蔗糖 Sucrose 总酚 Total phenol
    红宝石 Hongbaoshi 9.40±1.05c 0.14±0.02ab 69.09±7.52c 38.31±1.18a 30.91±1.54d 8.61±0.26b
    西瓜红 Xiguahong 8.60±0.92b 0.18±0.04b 60.70±7.08ab 45.15±4.36b 13.38±0.44a 7.83±0.80a
    胭脂红 Yanzhihong 8.23±0.31b 0.27±0.02d 65.84±5.12b 40.50±2.21ab 21.06±1.69c 11.25±0.70c
    珍珠 Zhenzhu 9.87±0.80c 0.11±0.02a 70.25±2.38c 52.93±1.51c 17.48±0.85b 8.48±1.03b
    水晶 Shuijing 8.99±0.79bc 0.23±0.02c 65.55±2.59b 42.41±2.15b 22.74±1.05c 7.67±1.11a
    金斗香 Jindouxiang 7.34±0.66a 0.29±0.02d 58.91±2.79a 39.40±1.83a 16.97±0.40b 11.51±0.54c
    平均值 Mean 8.74±1.84 0.20±0.01 65.06±7.35 43.12±8.01 18.26±5.89 9.23±3.44
    变异系数 Variation coefficient 0.25 0.05 0.12 0.18 0.28 0.37
    下载: 导出CSV
    品种 Cultivar w/(mg·g−1) w/(μmol·g−1)
    类黄酮 Flavonoids 抗坏血酸 Ascorbic acid 单宁 Tannin ABTS DPPH
    红宝石 Hongbaoshi 7.73±0.20c 2.42±0.17c 5.22±0.02b 33.70±1.14bc 545.40±32.48b
    西瓜红 Xiguahong 6.54±0.18b 1.40±0.10ab 6.17±0.40c 23.98±0.71a 337.77±32.50a
    胭脂红 Yanzhihong 10.05±1.90d 1.53±0.15b 4.70±0.35b 36.79±1.60cd 1004.30±95.67e
    珍珠 Zhenzhu 6.68±0.36b 1.27±0.31ab 3.80±0.96a 32.17±1.27b 726.83±47.06c
    水晶 Shuijing 5.74±0.49a 1.09±0.02a 7.22±0.28d 25.02±3.15a 639.83±34.40c
    金斗香 Jindouxiang 9.76±1.78d 1.54±0.14b 4.72±0.32b 38.65±1.81d 875.90±40.25d
    平均值 Mean 7.75±4.01 1.54±0.46 5.31±1.21 31.72±5.87 688.34±227.40
    变异系数 Variation coefficient 0.46 0.30 0.23 0.19 0.33
     1)同列数据后的不同小写字母表示差异显著(P < 0.05, LSD法)  1) Different lowercase letters in the same column indicate significant differences(P < 0.05, LSD method)
    下载: 导出CSV

    表  3   主成分的特征值、方差贡献率和累计方差贡献率

    Table  3   Eigenvalue, variance contribution rate and cumulative variance contribution rate of principal components

    成分 Component 特征值 Eigenvalue 方差贡献率/% Variance contribution rate 累计方差贡献率/% Cumulative variance contribution rate
    1 4.531 41.194 41.194
    2 2.854 25.950 67.144
    3 1.913 17.389 84.533
    4 0.883 8.026 92.560
    5 0.358 3.259 95.819
    6 0.155 1.413 97.232
    7 0.121 1.104 98.336
    8 0.076 0.693 99.029
    9 0.048 0.437 99.466
    10 0.045 0.412 99.878
    11 0.013 0.122 100.000
    下载: 导出CSV

    表  4   番石榴果实主要质地参数相关矩阵的规格化特征向量

    Table  4   Normalized eigenvectors of correlation matrix of main textural parameters in guava fruits

    品质指标 Quality index 主成分 Principal component
    1 2 3
    可溶性固形物含量 Soluble solid content 0.736 −0.290 −0.509
    总酸含量 Total acid content 0.520 0.654 0.464
    总糖含量 Total sugar content 0.417 −0.477 −0.598
    蔗糖含量 Sucrose content 0.913 −0.055 0.347
    还原糖含量 Reducing sugar content 0.820 0.409 −0.195
    类黄酮含量 Flavonoids content 0.206 0.932 0.136
    抗坏血酸含量 Ascorbic acid content −0.685 0.382 0.004
    总酚含量 Total phenol content 0.853 −0.152 0.167
    ABTS清除能力 ABTS removing capacity 0.066 0.833 −0.427
    DPPH清除能力 DPPH removing capacity 0.873 0.019 −0.077
    单宁含量 Tannin content 0.184 −0.463 0.830
    下载: 导出CSV

    表  5   不同番石榴品种的主成分得分与综合评价指数

    Table  5   Scores of principal components and synthetic analysis indexes for different guava cultivars

    品种 Cultivar 主成分得分 Score of principal component 综合评价指数 Synthetic analysis index
    Y1 Y2 Y3
    红宝石 Hongbaoshi 1.424 −1.133 0.943 0.450
    西瓜红 Xiguahong 0.110 −0.829 −1.939 −0.500
    胭脂红 Yanzhihong 0.369 1.230 0.078 0.484
    珍珠 Zhenzhu −1.079 −0.671 0.852 −0.472
    水晶 Shuijing −1.397 0.140 0.135 −0.513
    金斗香 Jindouxiang 0.572 1.262 −0.068 0.551
    下载: 导出CSV

    表  6   番石榴果实差异表达基因(DEG)的KEGG 信号通路富集分析

    Table  6   KEGG enrichment analysis of differentially expressed genes (DEGs) in guava fruit

    类别 Term DEG个数 DEG number 基因总数 Total gene number P
    苯丙烷的生物合成 Phenylpropanoid biosynthesis 42 111 0.000
    角质、亚硫酸和蜡的生物合成 Cutin, suberine and wax biosynthesis 11 18 0.004
    淀粉和蔗糖的代谢 Starch and sucrose metabolism 46 158 0.011
    花青素生物合成 Anthocyanin biosynthesis 7 12 0.025
    乙醛酸酯和二羧酸酯代谢 Glyoxylate and dicarboxylate metabolism 27 87 0.026
    ABC转运蛋白 ABC transporters 13 37 0.054
    类黄酮生物合成 Flavonoid biosynthesis 10 26 0.057
    半乳糖代谢 Galactose metabolism 20 66 0.059
    不饱和脂肪酸的生物合成 Biosynthesis of unsaturated fatty acids 10 27 0.068
    脂肪酸降解 Fatty acid degradation 14 43 0.071
    氰基氨基酸代谢 Cyanoamino acid metabolism 14 43 0.071
    二苯乙烯类、二芳基庚烷类和姜辣酚的生物合成 Stilbenoid, diarylheptanoid and gingerol biosynthesis 6 13 0.075
    植物激素信号转导 Plant hormone signal transduction 48 197 0.096
    色氨酸代谢 Tryptophan metabolism 9 26 0.105
    柠檬烯和蒎烯的降解 Limonene and pinene degradation 5 11 0.105
    油菜素内酯生物合成 Brassinosteroid biosynthesis 4 8 0.118
    α−亚麻酸代谢 α-Linolenic acid metabolism 11 35 0.118
    苯丙氨酸代谢 Phenylalanine metabolism 14 48 0.124
    脂肪酸生物合成 Fatty acid biosynthesis 12 40 0.131
    戊糖和葡萄糖醛酸盐的相互转化 Pentose and glucuronate interconversions 18 66 0.132
    下载: 导出CSV

    表  7   番石榴果实差异表达基因(DEG)的GO 生物功能分析

    Table  7   GO biofunctional analysis of differentially expressed genes (DEG) in guava fruit

    类型 Type GO 名称 GO name DEG个数 DEG number 校正P Corrected P
    生物学过程 Biological process 多细胞生物过程 Multi-cellular organism process 34 0.0008
    授粉 Pollination 30 0.0016
    花粉−雌蕊相互作用 Pollen-pistil interaction 30 0.0016
    花粉识别 Recognition of pollen 30 0.0016
    防御反应 Defense response 100 0.0019
    细胞识别 Cell recognition 30 0.0019
    生物刺激反应 Response to biotic stimulus 67 0.0019
    细胞学组分 Cellular component 细胞外基质 Extracellular matrix 39 0.0029
    蛋白质的细胞外基质 Proteinaceous extracellular matrix 35 0.0184
    分子功能 Molecular function 血红素的结合 Heme binding 92 0.0003
    四吡咯的结合 Tetrapyrrole binding 93 0.0008
    催化活性 Catalytic activity 2073 0.0008
    氧化还原酶活性、作用于配对供体、合并或还原分子氧 Oxidoreductase activity, acting on paired donors, with incorporation or reduction of molecular oxygen 87 0.0037
    水解酶活性、水解邻糖基化合物 Hydrolase activity, hydrolyzing O-glycosyl compounds 130 0.0037
    作用于糖基键的水解酶活性 Hydrolase activity, acting on glycosyl bonds 139 0.0047
    碳水化合物结合 Carbohydrate binding 53 0.0278
    核酸结合转录因子活性 Nucleic acid binding transcription factor activity 194 0.0335
    转录因子活性、序列特异性DNA结合 Transcription factor activity, sequence-specific DNA binding 194 0.0335
    下载: 导出CSV
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出版历程
  • 收稿日期:  2022-01-16
  • 网络出版日期:  2023-05-17
  • 刊出日期:  2023-03-09

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