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Song HD, Zhang FB, Ji SX, Wang XQ, Wang JX, Liu YX, Wang XW, Han WH. The SA-WRKY70-PR-Callose Axis Mediates Plant Defense Against Whitefly Eggs. Int J Mol Sci 2024; 25:12076. [PMID: 39596145 PMCID: PMC11593482 DOI: 10.3390/ijms252212076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2024] [Revised: 11/06/2024] [Accepted: 11/07/2024] [Indexed: 11/28/2024] Open
Abstract
The molecular mechanisms of plant responses to phytophagous insect eggs are poorly understood, despite their importance in insect-plant interactions. This study investigates the plant defense mechanisms triggered by the eggs of whitefly Bemisia tabaci, a globally significant agricultural pest. A transcriptome comparison of tobacco plants with and without eggs revealed that whitefly eggs may activate the response of defense-related genes, including those involved in the salicylic acid (SA) signaling pathway. SA levels are induced by eggs, resulting in a reduction in egg hatching, which suggests that SA plays a key role in plant resistance to whitefly eggs. Employing Agrobacterium-mediated transient expression, virus-induced gene silencing assays, DNA-protein interaction studies, and bioassays, we elucidate the regulatory mechanisms involved. Pathogenesis-related proteins NtPR1-L1 and NtPR5-L2, downstream of the SA pathway, also affect whitefly egg hatching. The SA-regulated transcription factor NtWRKY70a directly binds to the NtPR1-L1 promoter, enhancing its expression. Moreover, NtPR1-L1 promotes callose deposition, which may impede the eggs' access to water and nutrients. This study establishes the SA-WRKY70-PR-callose axis as a key mechanism linking plant responses and defenses against whitefly eggs, providing new insights into the molecular interactions between plants and insect eggs.
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Affiliation(s)
| | | | | | | | | | | | | | - Wen-Hao Han
- State Key Laboratory of Rice Biology and Breeding, Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects, Zhejiang Key Laboratory of Biology and Ecological Regulation of Crop Pathogens and Insects, Institute of Insect Sciences, Zhejiang University, Hangzhou 310058, China; (H.-D.S.); (F.-B.Z.); (S.-X.J.); (X.-Q.W.); (J.-X.W.); (Y.-X.L.); (X.-W.W.)
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Hazra A, Pal A, Kundu A. Alternative splicing shapes the transcriptome complexity in blackgram [Vigna mungo (L.) Hepper]. Funct Integr Genomics 2023; 23:144. [PMID: 37133618 DOI: 10.1007/s10142-023-01066-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 04/18/2023] [Accepted: 04/20/2023] [Indexed: 05/04/2023]
Abstract
Vigna mungo, a highly consumed crop in the pan-Asian countries, is vulnerable to several biotic and abiotic stresses. Understanding the post-transcriptional gene regulatory cascades, especially alternative splicing (AS), may underpin large-scale genetic improvements to develop stress-resilient varieties. Herein, a transcriptome based approach was undertaken to decipher the genome-wide AS landscape and splicing dynamics in order to establish the intricacies of their functional interactions in various tissues and stresses. RNA sequencing followed by high-throughput computational analyses identified 54,526 AS events involving 15,506 AS genes that generated 57,405 transcripts isoforms. Enrichment analysis revealed their involvement in diverse regulatory functions and demonstrated that transcription factors are splicing-intensive, splice variants of which are expressed differentially across tissues and environmental cues. Increased expression of a splicing regulator NHP2L1/SNU13 was found to co-occur with lower intron retention events. The host transcriptome is significantly impacted by differential isoform expression of 1172 and 765 AS genes that resulted in 1227 (46.8% up and 53.2% downregulated) and 831 (47.5% up and 52.5% downregulated) transcript isoforms under viral pathogenesis and Fe2+ stressed condition, respectively. However, genes experiencing AS operate differently from the differentially expressed genes, suggesting AS is a unique and independent mode of regulatory mechanism. Therefore, it can be inferred that AS mediates a crucial regulatory role across tissues and stressful situations and the results would provide an invaluable resource for future endeavours in V. mungo genomics.
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Affiliation(s)
- Anjan Hazra
- Agricultural and Ecological Research Unit, Indian Statistical Institute, 203, B. T. Road, Kolkata, 700108, India
- Department of Genetics, University of Calcutta, 35 Ballygunge Circular Road, Kolkata, 700019, India
| | - Amita Pal
- Division of Plant Biology, Bose Institute, Kolkata, 700091, India.
| | - Anirban Kundu
- Plant Genomics and Bioinformatics Laboratory, P.G. Department of Botany, Ramakrishna Mission Vivekananda Centenary College (Autonomous), Rahara, Kolkata, 700118, India.
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Singh L, Dhillon GS, Kaur S, Dhaliwal SK, Kaur A, Malik P, Kumar A, Gill RK, Kaur S. Genome-wide Association Study for Yield and Yield-Related Traits in Diverse Blackgram Panel (Vigna mungo L. Hepper) Reveals Novel Putative Alleles for Future Breeding Programs. Front Genet 2022; 13:849016. [PMID: 35899191 PMCID: PMC9310006 DOI: 10.3389/fgene.2022.849016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 06/20/2022] [Indexed: 11/29/2022] Open
Abstract
Blackgram (Vigna mungo L. Hepper) is an important tropical and sub-tropical short-duration legume that is rich in dietary protein and micronutrients. Producing high-yielding blackgram varieties is hampered by insufficient genetic variability, absence of suitable ideotypes, low harvest index and susceptibility to biotic-abiotic stresses. Seed yield, a complex trait resulting from the expression and interaction of multiple genes, necessitates the evaluation of diverse germplasm for the identification of novel yield contributing traits. Henceforth, a panel of 100 blackgram genotypes was evaluated at two locations (Ludhiana and Gurdaspur) across two seasons (Spring 2019 and Spring 2020) for 14 different yield related traits. A wide range of variability, high broad-sense heritability and a high correlation of grain yield were observed for 12 out of 14 traits studied among all environments. Investigation of population structure in the panel using a set of 4,623 filtered SNPs led to identification of four sub-populations based on ad-hoc delta K and Cross entropy value. Using Farm CPU model and Mixed Linear Model algorithms, a total of 49 significant SNP associations representing 42 QTLs were identified. Allelic effects were found to be statistically significant at 37 out of 42 QTLs and 50 known candidate genes were identified in 24 of QTLs.
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Affiliation(s)
- Lovejit Singh
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
| | | | - Sarabjit Kaur
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
| | - Sandeep Kaur Dhaliwal
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
| | - Amandeep Kaur
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
| | - Palvi Malik
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
| | - Ashok Kumar
- Regional Research Station, Punjab Agricultural University, Gurdaspur, India
| | - Ranjit Kaur Gill
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
| | - Satinder Kaur
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
- *Correspondence: Satinder Kaur,
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Bassetti N, Caarls L, Bukovinszkine'Kiss G, El-Soda M, van Veen J, Bouwmeester K, Zwaan BJ, Schranz ME, Bonnema G, Fatouros NE. Genetic analysis reveals three novel QTLs underpinning a butterfly egg-induced hypersensitive response-like cell death in Brassica rapa. BMC PLANT BIOLOGY 2022; 22:140. [PMID: 35331150 PMCID: PMC8944062 DOI: 10.1186/s12870-022-03522-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 03/08/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Cabbage white butterflies (Pieris spp.) can be severe pests of Brassica crops such as Chinese cabbage, Pak choi (Brassica rapa) or cabbages (B. oleracea). Eggs of Pieris spp. can induce a hypersensitive response-like (HR-like) cell death which reduces egg survival in the wild black mustard (B. nigra). Unravelling the genetic basis of this egg-killing trait in Brassica crops could improve crop resistance to herbivory, reducing major crop losses and pesticides use. Here we investigated the genetic architecture of a HR-like cell death induced by P. brassicae eggs in B. rapa. RESULTS A germplasm screening of 56 B. rapa accessions, representing the genetic and geographical diversity of a B. rapa core collection, showed phenotypic variation for cell death. An image-based phenotyping protocol was developed to accurately measure size of HR-like cell death and was then used to identify two accessions that consistently showed weak (R-o-18) or strong cell death response (L58). Screening of 160 RILs derived from these two accessions resulted in three novel QTLs for Pieris brassicae-induced cell death on chromosomes A02 (Pbc1), A03 (Pbc2), and A06 (Pbc3). The three QTLs Pbc1-3 contain cell surface receptors, intracellular receptors and other genes involved in plant immunity processes, such as ROS accumulation and cell death formation. Synteny analysis with A. thaliana suggested that Pbc1 and Pbc2 are novel QTLs associated with this trait, while Pbc3 also contains an ortholog of LecRK-I.1, a gene of A. thaliana previously associated with cell death induced by a P. brassicae egg extract. CONCLUSIONS This study provides the first genomic regions associated with the Pieris egg-induced HR-like cell death in a Brassica crop species. It is a step closer towards unravelling the genetic basis of an egg-killing crop resistance trait, paving the way for breeders to further fine-map and validate candidate genes.
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Affiliation(s)
- Niccolò Bassetti
- Biosystematics Group, Wageningen University & Research, Wageningen, The Netherlands
| | - Lotte Caarls
- Biosystematics Group, Wageningen University & Research, Wageningen, The Netherlands
- Laboratory of Plant Breeding, Wageningen University & Research, Wageningen, The Netherlands
| | - Gabriella Bukovinszkine'Kiss
- Biosystematics Group, Wageningen University & Research, Wageningen, The Netherlands
- Laboratory of Genetics, Wageningen University & Research, Wageningen, The Netherlands
| | - Mohamed El-Soda
- Department of Genetics, Faculty of Agriculture, Cairo University, Giza, Egypt
| | - Jeroen van Veen
- Biosystematics Group, Wageningen University & Research, Wageningen, The Netherlands
| | - Klaas Bouwmeester
- Biosystematics Group, Wageningen University & Research, Wageningen, The Netherlands
- Laboratory of Entomology, Wageningen University & Research, Wageningen, The Netherlands
| | - Bas J Zwaan
- Laboratory of Genetics, Wageningen University & Research, Wageningen, The Netherlands
| | - M Eric Schranz
- Biosystematics Group, Wageningen University & Research, Wageningen, The Netherlands
| | - Guusje Bonnema
- Laboratory of Plant Breeding, Wageningen University & Research, Wageningen, The Netherlands
| | - Nina E Fatouros
- Biosystematics Group, Wageningen University & Research, Wageningen, The Netherlands.
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Ojeda-Martinez D, Diaz I, Santamaria ME. Transcriptomic Landscape of Herbivore Oviposition in Arabidopsis: A Systematic Review. FRONTIERS IN PLANT SCIENCE 2022; 12:772492. [PMID: 35126411 PMCID: PMC8815302 DOI: 10.3389/fpls.2021.772492] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 12/06/2021] [Indexed: 06/14/2023]
Abstract
Herbivore oviposition produces all sorts of responses in plants, involving wide and complex genetic rearrangements. Many transcriptomic studies have been performed to understand this interaction, producing a bulk of transcriptomic data. However, the use of many transcriptomic techniques across the years, the lack of comparable transcriptomic context at the time of publication, and the use of outdated databases are limitations to understand this biological process. The current analysis intends to retrieve oviposition studies and process them with up-to-date techniques and updated databases. To reduce heterogeneities, the same processing techniques were applied, and Arabidopsis was selected to avoid divergencies on plant taxa stress response strategies. By doing so, we intended to understand the major mechanisms and regulatory processes linked to oviposition response. Differentially expressed gene (DEG) identification and co-expression network-based analyses were the main tools to achieve this goal. Two microarray studies and three RNA-seq analyses passed the screening criteria. The collected data pertained to the lepidopteran Pieris brassicae and the mite Tetranychus urticae, and covered a timeline from 3 to 144 h. Among the 18, 221 DEGs found, 15, 406 were exclusive of P. brassicae (72 h) and 801 were exclusive for the rest of the experiments. Excluding P. brassicae (72 h), shared genes on the rest of the experiments were twice the unique genes, indicating common response mechanisms were predominant. Enrichment analyses indicated that shared processes were circumscribed to earlier time points, and after 24 h, the divergences escalated. The response was characterized by patterns of time-dependent waves of unique processes. P. brassicae oviposition induced a rich response that shared functions across time points, while T. urticae eggs triggered less but more diverse time-dependent functions. The main processes altered were associated with hormonal cascades [e.g., salicilic acid (SA) and jasmonic acid (JA)], defense [reactive oxygen species (ROS) and glucosinolates], cell wall rearrangements, abiotic stress responses, and energy metabolism. Key gene drivers of the identified processes were also identified and presented. The current results enrich and clarify the information regarding the molecular behavior of the plant in response to oviposition by herbivores. This information is valuable for multiple stress response engineering tools, among other applications.
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Affiliation(s)
- Dairon Ojeda-Martinez
- Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid – Instituto Nacional de Investigación y Tecnología Agraria y Alimentación, Madrid, Spain
| | - Isabel Diaz
- Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid – Instituto Nacional de Investigación y Tecnología Agraria y Alimentación, Madrid, Spain
- Departamento de Biotecnología-Biología Vegetal, Escuela Técnica Superior de Ingeniería Agronómica, Alimentaria y de Biosistemas, Universidad Politécnica de Madrid, Madrid, Spain
| | - M. Estrella Santamaria
- Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid – Instituto Nacional de Investigación y Tecnología Agraria y Alimentación, Madrid, Spain
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