Alternative Splicing of BnABF4L Mediates Response to Abiotic Stresses in Rapeseed (Brassica napus L.)

IF 6.1 1区 工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Ruijia Zhu, Chu Yue, Shifan Wu, Mingting Wu, Ziyue Xu, Xiaoqun Liu, Rui Wang, Maolin Wang
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引用次数: 0

Abstract

ABRE BINDING FACTOR 4 (ABF4) is a pivotal regulatory gene in the abscisic acid (ABA) signaling pathway, and changes in its expression levels can modulate the plant's stress resistance. To further explore the specific regulatory mechanisms of alternative splicing (AS) in the ABA signaling pathway and to identify new breakthroughs for breeding high stress-resistant varieties of Brassica napus, we identified 17 homologous genes of ABF4 in the genome. Utilizing bioinformatics techniques, we analyzed their motifs, conserved domains, and cis-acting elements of their promoters. Through transcriptome data from the stress-tolerant dwarf strain ndf2 and its parental line 3529, we uncovered a significantly differentially expressed ABF4 gene, which we named BnABF4L. Subsequently, we analyzed the AS events of BnABF4L under normal growth conditions and different abiotic stresses, as well as the impact of different transcript variants' 5’ untranslated region (5'UTR) on gene translation. BnABF4L undergoes alternative 3' splice site (A3SS) selection to produce three transcripts (V1-V3) with divergent 5'UTRs. While V1 translation is suppressed by upstream ORFs (uORFs), V2/V3 exhibit enhanced translational efficiency. Under stress, ndf2 shifts splicing toward V3, circumventing uORF-mediated repression to upregulate stress-adapted isoforms. We validated the inhibitory effect of upstream open reading frames (uORFs) on protein-coding open reading frame (pORFs) and, based on the collective experimental results, proposed the flexible regulatory mechanism of AS events of BnABF4L in response to stress. Our findings provide new insights for future studies on stress resistance in rapeseed as well as for research on the regulation of alternative splicing mechanisms in the ABA signaling pathway.

BnABF4L选择性剪接介导油菜对非生物胁迫的响应
ABRE BINDING FACTOR 4 (ABF4)是ABA信号通路的关键调控基因,其表达水平的变化可以调控植物的抗逆性。为了进一步探索ABA信号通路中选择性剪接(alternative splicing, AS)的具体调控机制,为培育高抗逆性甘蓝型油菜品种寻找新的突破口,我们在甘蓝型油菜基因组中鉴定了17个ABF4同源基因。利用生物信息学技术,我们分析了它们的基序、保守结构域和启动子的顺式作用元件。通过对耐胁迫矮株ndf2及其亲本系3529的转录组数据分析,我们发现了一个显著差异表达的ABF4基因,我们将其命名为BnABF4L。随后,我们分析了BnABF4L在正常生长条件和不同非生物胁迫下的AS事件,以及不同转录变异体“5’非翻译区”(5’utr)对基因翻译的影响。BnABF4L通过选择性3‘剪接位点(A3SS)选择产生3个具有不同5’ utr的转录本(V1-V3)。V1的翻译受到上游orf (uorf)的抑制,而V2/V3的翻译效率则有所提高。在胁迫下,ndf2将剪接移向V3,绕过uorf介导的抑制,上调应激适应同种异构体。我们验证了上游开放阅读框(uORFs)对蛋白编码开放阅读框(pORFs)的抑制作用,并基于集体实验结果,提出了BnABF4L在应激反应中AS事件的灵活调控机制。研究结果为油菜籽抗逆性研究以及ABA信号通路中选择性剪接调控机制的研究提供了新的思路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biotechnology for Biofuels
Biotechnology for Biofuels 工程技术-生物工程与应用微生物
自引率
0.00%
发文量
0
审稿时长
2.7 months
期刊介绍: Biotechnology for Biofuels is an open access peer-reviewed journal featuring high-quality studies describing technological and operational advances in the production of biofuels, chemicals and other bioproducts. The journal emphasizes understanding and advancing the application of biotechnology and synergistic operations to improve plants and biological conversion systems for the biological production of these products from biomass, intermediates derived from biomass, or CO2, as well as upstream or downstream operations that are integral to biological conversion of biomass. Biotechnology for Biofuels focuses on the following areas: • Development of terrestrial plant feedstocks • Development of algal feedstocks • Biomass pretreatment, fractionation and extraction for biological conversion • Enzyme engineering, production and analysis • Bacterial genetics, physiology and metabolic engineering • Fungal/yeast genetics, physiology and metabolic engineering • Fermentation, biocatalytic conversion and reaction dynamics • Biological production of chemicals and bioproducts from biomass • Anaerobic digestion, biohydrogen and bioelectricity • Bioprocess integration, techno-economic analysis, modelling and policy • Life cycle assessment and environmental impact analysis
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