National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, China.
Jiangsu Academy of Agricultural Sciences, Provincial Key Laboratory of Agrobiology, Institute of Germplasm Resources and Biotechnology, Nanjing, 210014, China.
BMC Genomics. 2019 Mar 22;20(1):237. doi: 10.1186/s12864-019-5599-z.
Common cutworm (CCW) is highly responsible for destabilizing soybean productivity. Wild soybean is a resource used by breeders to discover elite defensive genes.
The transcriptomes of two wild accessions (W11 and W99) with different resistance to CCW were analyzed at early- and late-induction time points. After induction, the susceptible accession W11 differentially expressed 1268 and 508 genes at the early and late time points, respectively. Compared with W11, the resistant accession W99 differentially expressed 1270 genes at the early time point and many more genes (2308) at the late time point. In total, 3836 non-redundant genes were identified in both lines. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses revealed that the differentially expressed genes (DEGs) in W99 at the late time point were mostly associated with specific processes and pathways. Among the non-redundant genes, 146 genes were commonly up-regulated in the treatment condition compared with the control condition at the early- and late-induction time points in both accessions used in this experiment. Approximately 40% of the common DEGs were related to secondary metabolism, disease resistance, and signal transduction based on their putative function. Excluding the common DEGs, W99 expressed more unique DEGs than W11. Further analysis of the 3836 DEGs revealed that the induction of CCW not only up-regulated defense-related genes, including 37 jasmonic acid (JA)-related genes, 171 plant-pathogen-related genes, and 17 genes encoding protease inhibitors, but also down-regulated growth-related genes, including 35 photosynthesis-related genes, 48 nutrition metabolism genes, and 28 auxin metabolism genes. Therefore, representative defense-related and growth-related genes were chosen for binding site prediction via co-expression of transcription factors (TFs) and spatial expression pattern analyses. In total, 53 binding sites of 28 TFs were identified based on 3 defense-related genes and 3 growth-related genes. Phosphate transporter PT1, which is a representative growth-related gene, was transformed into soybean, and the transgenic soybean plants were susceptible to CCW.
In summary, we described transcriptome reprograming after herbivore induction in wild soybean, identified the susceptibility of growth-related genes, and provided new resources for the breeding of herbivore-resistant cultivated soybeans.
普通粘虫(CCW)是导致大豆产量不稳定的主要因素。野生大豆是培育者用来发现优秀防御基因的资源。
分析了对 CCW 具有不同抗性的两个野生品系(W11 和 W99)在早期和晚期诱导时间点的转录组。诱导后,敏感品系 W11 在早期和晚期分别差异表达了 1268 和 508 个基因。与 W11 相比,抗性品系 W99 在早期时间点差异表达了 1270 个基因,而在晚期时间点差异表达了更多的基因(2308 个)。总的来说,在这两个系中鉴定出了 3836 个非冗余基因。基因本体论(GO)和京都基因与基因组百科全书(KEGG)分析表明,W99 在晚期差异表达的基因(DEGs)主要与特定的过程和途径有关。在非冗余基因中,在本实验中使用的两个品系的早期和晚期诱导条件下,有 146 个基因相对于对照条件上调。大约 40%的常见 DEGs 与次生代谢、抗病性和信号转导有关,基于其推测的功能。排除常见的 DEGs 后,W99 比 W11 表达了更多的独特 DEGs。对 3836 个 DEGs 的进一步分析表明,CCW 的诱导不仅上调了防御相关基因,包括 37 个茉莉酸(JA)相关基因、171 个植物病原体相关基因和 17 个蛋白酶抑制剂基因,还下调了生长相关基因,包括 35 个光合作用相关基因、48 个营养代谢基因和 28 个生长素代谢基因。因此,选择了有代表性的防御相关和生长相关基因,通过共表达转录因子(TFs)和空间表达模式分析进行结合位点预测。总共基于 3 个防御相关基因和 3 个生长相关基因预测到了 28 个 TF 的 53 个结合位点。代表性生长相关基因磷酸盐转运蛋白 PT1 被转化为大豆,转基因大豆植株对 CCW 敏感。
综上所述,我们描述了野生大豆受到草食性昆虫诱导后的转录组重编程,鉴定了生长相关基因的易感性,并为培育抗草食性栽培大豆提供了新资源。