Samanta Pratyasha, Jasrotia Rahul Singh, Jaiswal Sarika, Iquebal Mir Asif, Dey Narottam
Rice Biotechnology Laboratory, Department of Biotechnology, Visva-Bharati University, Santiniketan, 731235 India.
Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, PUSA, Library Avenue, New Delhi, 110012 India.
3 Biotech. 2025 May;15(5):109. doi: 10.1007/s13205-025-04277-7. Epub 2025 Apr 2.
To decipher the molecular mechanism behind submergence tolerance in a typical rice genotype (var. Kumrogarh), leaf transcriptome analysis was performed on submerged plant tissue with 7 and 14 days of induced submergence, followed by cataloguing the differentially expressed transcripts. Subsequent bioinformatics analysis identified 5,267 differentially expressed genes (DEGs), of which 2,657 were upregulated and 2,610 were downregulated in four comparative combinations: T7-C7, T14-T7, T14-T7, and C14-C7. A group of 41 co-expressed genes was found across all sets, while 1427, 558 and 83 transcripts were uniquely expressed in the T7-C7, T14-T7, and C14-C7 combinations, respectively. Constructed Ven diagram showed that 1428, 65, and 44 transcripts were commonly expressed in the paired combinations "T7-C7" and "T14-T7", "C14-C7" and "T7-C7", and "C14-C7" and "T14-T7". Gene ontology study functionally categorized the DEGs into molecular functions, biological processes, and cellular components. Additionally, nine transcription factor families were identified, including MYB, WRKY, bZIP, bHLH, SET domain, NAC domain, C2H2 zinc finger, E2F, and HSF, along with a set of differentially regulated signalling genes. Twelve genes related to submergence adaptation were selected for final validation through quantitative real-time PCR-based expression analysis, which demonstrated a strong association with a coefficient ( = 0.716) after aligning with the RNA-Seq data. Derived results showed upregulation of gibberellin receptor GID1L2 (LOC_Os02g35940.1), ethylene-responsive element-binding protein (LOC_Os06g08360.1), glyceraldehyde-3-phosphate dehydrogenase (LOC_Os04g38600.1), decarboxylase (LOC_Os08g04540.1), sucrose synthase (LOC_Os03g22120.1), aldehyde dehydrogenase (LOC_Os12g07810.1), endonuclease/exonuclease/phosphatase family domain-containing protein (LOC_Os01g08780.1), polygalacturonase inhibitor 1 precursor (LOC_Os07g38130.1), transmembrane amino acid transporter protein (LOC_Os01g41420.1), and SAM-dependent carboxyl methyltransferase (LOC_Os02g48770.1). This study provides a comprehensive profile of leaf transcriptomics in a traditionally tall-type rice landrace containing both submergence-tolerant and alleles, highlighting an area of research that remains largely unexplored. These remarkable findings have driven this investigation to decipher the interplay among these key genetic factors by hypothesizing a model leading to the development of a genetic network associated with improved survival under prolonged deep submergence of such a unique rice genotype.
The online version contains supplementary material available at 10.1007/s13205-025-04277-7.
为了解典型水稻基因型(品种Kumrogarh)耐淹性背后的分子机制,对经7天和14天诱导淹水的淹水植物组织进行了叶片转录组分析,随后对差异表达的转录本进行编目。随后的生物信息学分析鉴定出5267个差异表达基因(DEG),其中在四个比较组合(T7 - C7、T14 - T7、T14 - T7和C14 - C7)中,2657个上调,2610个下调。在所有组中发现一组41个共表达基因,而分别在T7 - C7、T14 - T7和C14 - C7组合中独特表达的转录本有1427个、558个和83个。构建的维恩图显示,1428个、65个和44个转录本分别在配对组合“T7 - C7”和“T14 - T7”、“C14 - C7”和“T7 - C7”以及“C14 - C7”和“T14 - T7”中共同表达。基因本体研究将差异表达基因在功能上分为分子功能、生物学过程和细胞成分。此外,鉴定出九个转录因子家族,包括MYB、WRKY、bZIP、bHLH、SET结构域、NAC结构域、C2H2锌指、E2F和HSF,以及一组差异调节的信号基因。通过基于定量实时PCR的表达分析选择了12个与淹水适应性相关的基因进行最终验证,在与RNA - Seq数据比对后,其显示出与系数(= 0.716)有很强的相关性。得出的结果显示赤霉素受体GID1L2(LOC_Os02g35940.1)、乙烯响应元件结合蛋白(LOC_Os06g08360.1)、甘油醛 - 3 - 磷酸脱氢酶(LOC_Os04g38600.1)、脱羧酶(LOC_Os08g04540.1)、蔗糖合酶(LOC_Os03g22120.1)、醛脱氢酶(LOC_Os12g07810.1)、含核酸内切酶/核酸外切酶/磷酸酶家族结构域的蛋白(LOC_Os01g08780.1)、多聚半乳糖醛酸酶抑制剂1前体(LOC_Os07g38130.1)、跨膜氨基酸转运蛋白(LOC_Os01g41420.1)和SAM依赖性羧甲基转移酶(LOC_Os02g48770.1)上调。本研究提供了一个传统高秆型水稻地方品种叶片转录组学的全面概况,该品种同时含有耐淹性和等位基因,突出了一个在很大程度上仍未被探索的研究领域。这些显著发现促使本研究通过假设一个模型来破译这些关键遗传因素之间的相互作用,该模型导致构建一个与这种独特水稻基因型在长期深淹水条件下提高存活率相关的遗传网络。
在线版本包含可在10.1007/s13205 - 025 - 04277 - 7获取的补充材料。