生物技术通报 ›› 2026, Vol. 42 ›› Issue (11): 210-221.doi: 10.13560/j.cnki.biotech.bull.1985.2026-0172
• 研究报告 • 上一篇
雷子莹1, 武延慧1, 赵生婷1, 张瑜1, 王嘉蕾1, 贺润丽1(
), 刘建霞2, 王瑞军3
收稿日期:2026-02-04
出版日期:2026-11-26
发布日期:2026-11-03
通讯作者:
贺润丽herunli@sxtcm.edu.cn基金资助:
LEI Zi-ying1, WU Yan-hui1, ZHAO Sheng-ting1, ZHANG Yu1, WANG Jia-lei1, HE Run-li1(
), LIU Jian-xia2, WANG Rui-jun3
Received:2026-02-04
Published:2026-11-26
Online:2026-11-03
摘要:
目的 筛选蒙古黄芪茎表皮毛形成关键基因,探究茎表皮毛对黄酮和皂苷类药效成分的影响。 方法 通过扫描电子显微镜(SEM)观察蒙古黄芪多毛茎与无毛茎表型特征,转录组(RNA-seq)和非靶向代谢组(UPLC-MS/MS)技术分析茎表皮毛形成机制及代谢物积累变化;高效液相色谱(HPLC)探究2种表型对茎和根部主要药效成分积累的影响。 结果 蒙古黄芪茎表皮毛为非腺毛,转录组共筛选出15 917个差异表达基因(DEGs),这些DEGs涉及表皮毛发育、植物激素信号转导及类黄酮生物合成等通路,其中与表皮毛发育相关的基因GIS、GIS3-like、GIS3、HAT1和ETC1可能较高程度参与非腺毛的形成。代谢组学共检测到670个差异积累代谢物(DAMs)。与多毛茎相比,无毛茎中443个代谢物上调、227个下调,DAMs主要富集于苯丙氨酸、酪氨酸和色氨酸生物合成、核苷酸代谢通路等。HPLC分析表明,无毛茎蒙古黄芪茎部毛蕊异黄酮苷含量极显著低于多毛茎茎部(P<0.01),芒柄花素含量显著高于多毛茎茎部(P<0.05);无毛茎根部毛蕊异黄酮含量(P<0.05)、4种皂苷类成分总含量(P<0.05)均显著低于多毛茎根部。 结论 筛选出多个调控蒙古黄芪茎表皮毛的候选基因。蒙古黄芪茎表皮毛与异黄酮类和皂苷类药效成分积累存在一定关联,多毛茎较无毛茎表型更优。
雷子莹, 武延慧, 赵生婷, 张瑜, 王嘉蕾, 贺润丽, 刘建霞, 王瑞军. 转录组和代谢组联合分析蒙古黄芪茎表皮毛形成及其对药效成分积累的影响[J]. 生物技术通报, 2026, 42(11): 210-221.
LEI Zi-ying, WU Yan-hui, ZHAO Sheng-ting, ZHANG Yu, WANG Jia-lei, HE Run-li, LIU Jian-xia, WANG Rui-jun. Integrated Transcriptomic and Metabolomic Analysis Reveals the Mechanism Underlying Trichome Formation on the Stem Epidermis of A. mongholicus and Its Impact on Bioactive Compound Accumulation[J]. Biotechnology Bulletin, 2026, 42(11): 210-221.
图2 DEGs GO富集分析圈图第1圈表示富集条目与对应分类,分别为生物过程(蓝色),分子功能(灰色)和细胞成分(红色)3种类型;第2圈显示每个条目中背景基因的数目及该分类的统计显著性值-log10 (q value),条形图越长表示富集到该GO条目基因越多,颜色越深代表q值越小,富集越显著;第3圈表示前景基因总数,条形图越长表示基因数目越多;第4圈不同高低条形图表示富集因子大小,越高代表富集因子越大
Fig. 2 GO enrichment analysis plot of DEGsThe first circle represents the enriched terms and their corresponding categories, namely biological process (blue), molecular function (gray), and cellular component (red). The second circle shows the number of background genes in each term and the statistical significance value -log10 (q value) for the category; a longer bar indicates more genes enriched in the GO term, and a darker color denotes a smaller q value, meaning more significant enrichment. The third circle indicates the total number of foreground genes, with a longer bar standing for a larger number of genes. The fourth circle with bars of different heights represents the enrichment factor, where a higher bar corresponds to a larger enrichment factor
化合物 Compound | 线性方程 Linear regression equation | R2 | 线性范围 Linear range (μg) |
|---|---|---|---|
| 毛蕊异黄酮苷 | Y=39 109 157 C+180 233 | 0.999 5 | 0.050-4.970 |
| 芒柄花苷 | Y=27 793 749 C-48 296 | 0.999 8 | 0.128-7.680 |
| 毛蕊异黄酮 | Y=6 355 527 C-7 323 | 0.999 9 | 0.038-2.280 |
| 芒柄花素 | Y=5 436 799 C-20 586 | 0.999 8 | 0.031-1.860 |
| 黄芪甲苷 | Y=1.660 2 C+5.335 3 | 0.999 2 | 0.180-3.300 |
| 黄芪皂苷Ⅰ | Y=1.543 2 C+5.947 6 | 0.999 9 | 0.588-9.420 |
| 黄芪皂苷Ⅱ | Y=1.585 7 C+5.442 | 0.999 5 | 0.300-4.800 |
| 黄芪皂苷Ⅲ | Y=1.323 2 C+6.408 | 0.999 8 | 0.242-3.880 |
表1 蒙古黄芪黄酮和皂苷类线性回归方程
Table 1 Linear regression equations for flavonoids and saponins in A. mongholicus
化合物 Compound | 线性方程 Linear regression equation | R2 | 线性范围 Linear range (μg) |
|---|---|---|---|
| 毛蕊异黄酮苷 | Y=39 109 157 C+180 233 | 0.999 5 | 0.050-4.970 |
| 芒柄花苷 | Y=27 793 749 C-48 296 | 0.999 8 | 0.128-7.680 |
| 毛蕊异黄酮 | Y=6 355 527 C-7 323 | 0.999 9 | 0.038-2.280 |
| 芒柄花素 | Y=5 436 799 C-20 586 | 0.999 8 | 0.031-1.860 |
| 黄芪甲苷 | Y=1.660 2 C+5.335 3 | 0.999 2 | 0.180-3.300 |
| 黄芪皂苷Ⅰ | Y=1.543 2 C+5.947 6 | 0.999 9 | 0.588-9.420 |
| 黄芪皂苷Ⅱ | Y=1.585 7 C+5.442 | 0.999 5 | 0.300-4.800 |
| 黄芪皂苷Ⅲ | Y=1.323 2 C+6.408 | 0.999 8 | 0.242-3.880 |
图4 激素相关差异表达基因(A)和差异表达转录因子热图(B)热图数据为相对表达量(TPM)值按行标准化处理,红色代表每行内基因相对表达量上调,蓝色代表下调,下同
Fig. 4 Heat map of hormone-related DEGs (A) and differentially expressed transcription factors (B)The data in the heatmap are row-normalized relative expression (TPM) values. Red indicates upregulated relative expression within each row and blue indicates downregulation. The same below
| 组别(mg/g) | PHS | GHS | PHR | GHR |
|---|---|---|---|---|
| 毛蕊异黄酮苷 | 0.11±0.04 | 0.04±0.01** | 1.48±0.50 | 1.76±0.35 |
| 芒柄花苷 | 0.04±0.01 | 0.04±0.01 | 0.53±0.37 | 0.44±0.17 |
| 毛蕊异黄酮 | 0.15±0.08 | 0.18±0.06 | 0.25±0.12 | 0.13±0.07# |
| 芒柄花素 | 0.01±0.01 | 0.02±0.01* | 0.04±0.03 | 0.02±0.03 |
| 4种异黄酮总和 | 0.32±0.08 | 0.28±0.05 | 2.30±0.52 | 2.35±0.50 |
| 黄芪甲苷 | - | - | 0.25±0.07 | 0.26±0.08 |
| 黄芪皂苷Ⅰ | - | - | 1.05±0.24 | 0.78±0.35 |
| 黄芪皂苷Ⅱ | - | - | 0.61±0.18 | 0.48±0.16 |
| 黄芪皂苷Ⅲ | - | - | 0.08±0.01 | 0.13±0.07 |
| 4种皂苷成分总和 | - | 1.98±0.36 | 1.65±0.36# |
表2 蒙古黄芪黄酮和皂苷类含量测定结果
Table 2 Determination results of flavonoid and saponin contents in A. mongholicus (x¯±s, n=10)
| 组别(mg/g) | PHS | GHS | PHR | GHR |
|---|---|---|---|---|
| 毛蕊异黄酮苷 | 0.11±0.04 | 0.04±0.01** | 1.48±0.50 | 1.76±0.35 |
| 芒柄花苷 | 0.04±0.01 | 0.04±0.01 | 0.53±0.37 | 0.44±0.17 |
| 毛蕊异黄酮 | 0.15±0.08 | 0.18±0.06 | 0.25±0.12 | 0.13±0.07# |
| 芒柄花素 | 0.01±0.01 | 0.02±0.01* | 0.04±0.03 | 0.02±0.03 |
| 4种异黄酮总和 | 0.32±0.08 | 0.28±0.05 | 2.30±0.52 | 2.35±0.50 |
| 黄芪甲苷 | - | - | 0.25±0.07 | 0.26±0.08 |
| 黄芪皂苷Ⅰ | - | - | 1.05±0.24 | 0.78±0.35 |
| 黄芪皂苷Ⅱ | - | - | 0.61±0.18 | 0.48±0.16 |
| 黄芪皂苷Ⅲ | - | - | 0.08±0.01 | 0.13±0.07 |
| 4种皂苷成分总和 | - | 1.98±0.36 | 1.65±0.36# |
图6 RT-qPCR验证结果图柱状图为RT-qPCR测定的各靶基因相对表达水平(2-ΔΔCt),红色线条表示对应RNA-seq(TPM值),x¯±s,n=3
Fig. 6 Validation results of RT-qPCRThe histograms represent the relative expression levels of each target gene measured by RT-qPCR (2-ΔΔCt), and the red lines indicate the corresponding RNA-seq (TPM values), x¯±s, n=3
图7 代谢物PCA(A)和OPLS-DA(B)图PC1表示第一主成分,PC2表示第二主成分,百分比表示该主成分对数据集的解释率;图中的每个点表示1个样品,同一个组的样品使用同一种颜色表示
Fig. 7 PCA (A) and OPLS-DA (B) score plots of metabolitesPC1 represents the first principal component and PC2 the second principal component, with the percentages indicating their respective explanation rates of the dataset; each dot in the figure denotes a sample, and samples from the same group are colored the same
图8 DAMs数据图A:DAMs火山图;B:DAMs分类图;C:黄酮差异积累代谢物热图
Fig. 8 Data plot of DAMsA: volcano plot of DAMs; B: classification chart of DAMs; C: heat map of differentially accumulated flavonoid metabolites
图10 茎部类黄酮通路DEGs和DAMs图方框内标注的为代谢物:红色表示代谢物含量升高,绿色表示代谢物含量降低;箭头旁标注的为相关基因:红色标注的基因表示表达上调,绿色标注的基因表示表达下调,蓝色表示既有上调又有下调基因;图中不同颜色的矩形框对应不同的代谢分支:黄色代表苯丙烷代谢途径,粉色代表异黄酮代谢途径,蓝色代表黄酮和黄酮醇代谢途径
Fig. 10 Diagram of DEGs and DAMs in the flavonoid pathway of stemsMetabolites are marked in boxed labels: red indicates significantly increased metabolite content, while green indicates decreased metabolite content. Related genes are annotated beside the arrows: red represents upregulated genes, green represents downregulated genes, and blue indicates genes with both upregulated and downregulated expression patterns. Rectangular boxes of different colors in the diagram correspond to distinct metabolic branches: the yellow box denotes the phenylpropanoid pathway, the pink box represents the isoflavonoid pathway, and the blue box refers to the flavone and flavonol biosynthesis pathway
| [1] | 国家药典委员会. 中华人民共和国药典-一部——2025年版 [M]. 北京: 中国医药科技出版社, 2025. |
| National Pharmacopoeia Committee. Pharmacopoeia of people's republic of China (PRC)-part I-2025 edition [M]. Beijing: China Medical Science Press, 2025. | |
| [2] | 王丹阳, 冯毅晖, 潘加豪, 等. 黄芪的主要化学成分及药理作用 [J]. 新农民, 2024(24): 126-128. |
| Wang DY, Feng YH, Pan JH, et al. Main chemical constituents and pharmacological effects of Astragalus membranaceus [J]. New Farmers, 2024(24): 126-128. | |
| [3] | 张柂儇, 刘海龙, 王瑞琼, 等. 黄芪化学成分和药理作用及Q-marker预测分析 [J]. 中国新药杂志, 2023, 32(4): 410-419. |
| Zhang YX, Liu HL, Wang RQ, et al. Chemical constituents and pharmacological effects of Astragali Radix and predictive analysis on quality markers [J]. Chin J New Drugs, 2023, 32(4): 410-419. | |
| [4] | Karabourniotis G, Liakopoulos G, Nikolopoulos D, et al. Protective and defensive roles of non-glandular trichomes against multiple stresses: structure-function coordination [J]. J For Res, 2020, 31(1): 1034. |
| [5] | 植汉成, 刘翔, 郭宝林, 等. 柔毛淫羊藿及其近缘种叶片非腺毛形态及其分类学意义 [J]. 西北植物学报, 2018, 38(11): 2023-2035. |
| Zhi HC, Liu X, Guo BL, et al. Leaf non-glandular hair morphology and its taxonomic significance in Epimedium pubescens and related species [J]. Acta Bot Boreali Occidentalia Sin, 2018, 38(11): 2023-2035. | |
| [6] | Wang ZJ, Li YH, Zhang HY, et al. Methyl jasmonate treatment, aphid resistance assay, and transcriptomic analysis revealed different herbivore defensive roles between tobacco glandular and non-glandular trichomes [J]. Plant Cell Rep, 2022, 41(1): 195-208. |
| [7] | Li C, Wu JT, Blamey FPC, et al. Non-glandular trichomes of sunflower are important in the absorption and translocation of foliar-applied Zn [J]. J Exp Bot, 2021, 72(13): 5079-5092. |
| [8] | Guo C, Hu JJ, Gao WQ, et al. Mechanosensation triggers enhanced heavy metal ion uptake by non-glandular trichomes [J]. J Hazard Mater, 2022, 426: 127983. |
| [9] | Frerigmann H, Böttcher C, Baatout D, et al. Glucosinolates are produced in trichomes of Arabidopsis thaliana [J]. Front Plant Sci, 2012, 3: 242. |
| [10] | Judd R, Bagley MC, Li MZ, et al. Artemisinin biosynthesis in non-glandular trichome cells of Artemisia annua [J]. Mol Plant, 2019, 12(5): 704-714. |
| [11] | Koudounas K, Manioudaki ME, Kourti A, et al. Transcriptional profiling unravels potential metabolic activities of the olive leaf non-glandular trichome [J]. Front Plant Sci, 2015, 6: 633. |
| [12] | Shen YH, Fu JC, Zong DY, et al. The multidimensional regulatory network of trichome development: from transcription factors to hormone signaling integration [J]. J Exp Bot, 2025: eraf457. |
| [13] | 刘艳霞, 马亚丽, 兰海燕. 植物非腺毛形态发生及其功能研究进展 [J]. 植物生理学报, 2018, 54(10): 1527-1534. |
| Liu YX, Ma YL, Lan HY. Advances in morphology and function of plant non-glandular trichomes [J]. Plant Physiol J, 2018, 54(10): 1527-1534. | |
| [14] | Song SS, Liu B, Song JQ, et al. A molecular framework for signaling crosstalk between jasmonate and ethylene in anthocyanin biosynthesis, trichome development, and defenses against insect herbivores in Arabidopsis [J]. J Integr Plant Biol, 2022, 64(9): 1770-1788. |
| [15] | 邵长生. 二球悬铃木表皮毛发育调控基因PaTCP4、PaTCP15和PaNAC089的功能分析 [D]. 武汉: 华中农业大学, 2021. |
| Shao CS. Functional analysis of trichomes development regulatory genes PaTCP4、PaTCP15 and PaNAC089 from Platanus acerifolia [D]. Wuhan: Huazhong Agricultural University, 2021. | |
| [16] | Davila-Velderrain J, Caldu-Primo JL, Martinez-Garcia JC, et al. Modeling the epigenetic landscape in plant development [M]//Computational Cell Biology. New York, NY Springer New York 2018: 357-383. |
| [17] | 高四云, 李科, 熊一峰, 等. 恒山仿野生黄芪绝对生长年限鉴别及黄酮和皂苷积累规律研究 [J]. 药学学报, 2018, 53(1): 147-154. |
| Gao SY, Li K, Xiong YF, et al. Identification of growth years of Hengshan imitative wild culture Astragali Radix and investigation into the accumulation rules of flavonoids and saponins [J]. Acta Pharm Sin, 2018, 53(1): 147-154. | |
| [18] | 李新星, 刘凤波, 王雅净, 等. 不同产地蒙古黄芪中12种药效成分含量差异及其与地理分布和气候因子相关性分析 [J]. 中草药, 2024, 55(20): 7085-7092. |
| Li XX, Liu FB, Wang YJ, et al. Differences in content of 12 medicinal components of Astragalus membranaceus var. mongolicus from different regions and their correlation with geographical distribution and climate factors [J]. Chin Tradit Herb Drugs, 2024, 55(20): 7085-7092. | |
| [19] | Narayan S, Kumar A, Shirke PA. Development of stomata and trichomes is correlated with improved water use efficiency in cluster bean [Cyamopsis tetragonoloba (L.) Taub.] under drought [J]. J Plant Growth Regul, 2025, 44(7): 4090-4107. |
| [20] | Sun LL, Zhang AD, Zhou ZJ, et al. GLABROUS INFLORESCENCE STEMS3 (GIS3) regulates trichome initiation and development in Arabidopsis [J]. New Phytol, 2015, 206(1): 220-230. |
| [21] | Zhang N, Yang L, Luo S, et al. Genetic evidence suggests that GIS functions downstream of TCL1 to regulate trichome formation in Arabidopsis [J]. BMC Plant Biol, 2018, 18: 63. |
| [22] | Ariel FD, Manavella PA, Dezar CA, et al. The true story of the HD-Zip family [J]. Trends Plant Sci, 2007, 12(9): 419-426. |
| [23] | Tan WR, Han Q, Li Y, et al. A HAT1-DELLA signaling module regulates trichome initiation and leaf growth by achieving gibberellin homeostasis [J]. New Phytol, 2021, 231(3): 1220-1235. |
| [24] | Zhang YP, Zhang JQ, Shao CS, et al. Single-repeat R3 MYB transcription factors from Platanus acerifolia negatively regulate trichome formation in Arabidopsis [J]. Planta, 2019, 249(3): 861-877. |
| [25] | Xin Y, Pan WQ, Zhao YJ, et al. The NAC transcription factor LpNAC48 promotes trichome formation in Lilium pumilum [J]. Plant Physiol, 2024, 197(1): kiaf001. |
| [26] | 邵一帆, 朱宝庆, 王童欣, 等. 基于激素、转录组和代谢组研究木棉皮刺的遗传调控 [J]. 园艺学报, 2025, 52(4): 933-946. |
| Shao YF, Zhu BQ, Wang TX, et al. Research of genetic regulation of Bombax ceiba prickle based on hormone, transcriptome and metabolome [J]. Acta Hortic Sin, 2025, 52(4): 933-946. | |
| [27] | Chen HY, Zhu Z, Wang XW, et al. Less hairy leaf 1, an RNaseH-like protein, regulates trichome formation in rice through auxin [J]. J Integr Agric, 2023, 22(1): 31-40. |
| [28] | Xu ZS, Chen M, Li LC, et al. Functions and application of the AP2/ERF transcription factor family in crop improvement [J]. J Integr Plant Biol, 2011, 53(7): 570-585. |
| [29] | 潘媛, 赵晓, 陈大霞. 灰毡毛忍冬花不同发育阶段的转录组学与代谢组学研究 [J]. 中国中药杂志, 2021, 46(11): 2798-2805. |
| Pan Y, Zhao X, Chen DX. Different development phase of transcription proteomics and metabolomics of flower of Lonicera macranthoides [J]. China J Chin Mater Med, 2021, 46(11): 2798-2805. | |
| [30] | 崔慧敏, 曲硕, 万金璐, 等. 大豆CHR2-1基因生物信息学分析与大豆遗传转化 [J]. 大豆科学, 2022, 41(3): 274-280. |
| Cui HM, Qu S, Wan JL, et al. Bioinformatics analysis of soybean CHR2-1 gene and its genetic transformation to soybean [J]. Soybean Sci, 2022, 41(3): 274-280. | |
| [31] | 张宇斌, 彭贵, 潘蓉蓉, 等. 日本蛇根草黄酮醇合成酶基因的克隆及其序列分析 [J]. 基因组学与应用生物学, 2018, 37(7): 2958-2963. |
| Zhang YB, Peng G, Pan RR, et al. Cloning and sequence analysis of FLS gene in Ophiorrhiza japonica [J]. Genom Appl Biol, 2018, 37(7): 2958-2963. | |
| [32] | Jiang WB, Yin QG, Wu RR, et al. Role of a Chalcone isomerase-like protein in flavonoid biosynthesis in Arabidopsis thaliana [J]. J Exp Bot, 2015, 66(22): 7165-7179. |
| [33] | Gautam H, Sharma A, Trivedi PK. The role of flavonols in insect resistance and stress response [J]. Curr Opin Plant Biol, 2023, 73: 102353. |
| [1] | 王鑫, 陈炜, 孙博. 植物花分生组织活性的调控机制[J]. 生物技术通报, 2026, 42(9): 1-13. |
| [2] | 范丽金, 宋晓飞, 李晓丽, 闫立英, 谢洋. 基于转录组与代谢组解析黄瓜雌花花冠延迟开放的关键调控通路[J]. 生物技术通报, 2026, 42(9): 147-156. |
| [3] | 谭澍, 沈红建, 高晓磊, 尹倩, 邹锋. 油茶MYB转录因子家族鉴定及CoMYB107基因在雄蕊发育中的功能分析[J]. 生物技术通报, 2026, 42(9): 196-209. |
| [4] | 刘佳, 孟宇, 荆晓艳. 单细胞拉曼光谱揭示聚球藻PCC7942对无机碳源的利用偏好性[J]. 生物技术通报, 2026, 42(8): 331-340. |
| [5] | 申瑞雪, 郭子卿, 庞星辰, 李志远, 丁炜, 董琦, 李森, 宋红霞. 转录组和代谢组联合解析‘泽州芹菜’露地越冬的机制[J]. 生物技术通报, 2026, 42(8): 251-262. |
| [6] | 王鸿睿, 赵怡如, 饶书培, 陈金焕. 黑果枸杞 LrCYP78A5 基因在干旱与盐胁迫响应中的功能研究[J]. 生物技术通报, 2026, 42(7): 182-192. |
| [7] | 董亚茹, 修妤, 赵东晓, 朱红, 朱琳, 刘惠芬. 基于转录组的桑树GRAS基因家族鉴定及MnGRAS22盐胁迫响应分析[J]. 生物技术通报, 2026, 42(7): 193-203. |
| [8] | 游欣, 王淅, 张新妤, 魏绪英, 程华, 蔡军火. 基于非靶向代谢组解析红花石蒜叶片对高温胁迫的响应[J]. 生物技术通报, 2026, 42(7): 173-181. |
| [9] | 陈义焰, 张冬儿, 张涛, 刘育灏, 唐杰, 盛夏冰, 胡远艺, 艾治勇, 李应将, 刘小林. 水稻OsSULTR2;2基因功能及调控苗期耐盐性分析[J]. 生物技术通报, 2026, 42(7): 116-125. |
| [10] | 危潇, 黎妍妍, 袁勤峰, 姚经武, 曹春霞, 黄大野. 一株分离自烟草根际的生防菌株鉴定及其生防潜力研究[J]. 生物技术通报, 2026, 42(7): 279-291. |
| [11] | 王家彬, 胡玥, 陈嘉杰, 王蒙, 何秀云, 李之勇, 李健, 王美娜. 紫纹兜兰不同部位的代谢组和转录组联合分析[J]. 生物技术通报, 2026, 42(6): 279-293. |
| [12] | 张初署, 曹世宁, 王发明, 周海翔, 胡晓君, 唐月异, 周晓燕, 王冕, 陈静, 张建成. 乳酸菌发酵花生衣提取物过程中的代谢物特征分析[J]. 生物技术通报, 2026, 42(5): 340-352. |
| [13] | 杨兴盛, 伍绍龙, 冯凯, 王尚, 彭玺, 赵博, 刘明倩, 顾松松, 何晴, 李春格, 胡秋龙, 邓晔. 基于高分辨率质谱的微生物宏代谢组解析方法研究进展[J]. 生物技术通报, 2026, 42(5): 5-15. |
| [14] | 王玉昆, 原远, 王斌, 朱云娜, 任晓强, 任飞, 叶红. 转录组和脂质代谢组联合分析不同紫苏α-亚麻酸合成调控差异[J]. 生物技术通报, 2026, 42(4): 129-140. |
| [15] | 刘青媛, 吴洪启, 陈秀娥, 陈剑, 姜远泽, 何燕子, 喻奇伟, 刘仁祥. 转录因子NtMYB96a调控烟草耐旱性的功能研究[J]. 生物技术通报, 2026, 42(4): 239-250. |
| 阅读次数 | ||||||
|
全文 |
|
|||||
|
摘要 |
|
|||||