Blooming Resilience: Transcriptomic Insights into Cotton Flower Responses to Boll Weevil Infestation
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ABSTRACT:
PROVIDER: PRJNA1203198 | ENA |
REPOSITORIES: ENA
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Project description:The global demand for cotton fiber continues to rise, but pests and pathogens significantly hinder cotton production, causing substantial losses. Among these, the cotton boll weevil (Anthonomus grandis) is one of the most destructive pests. To investigate the molecular responses of cotton (Gossypium hirsutum) to boll weevil infestation, we evaluated the global gene expression of floral buds using mRNA-seq. Additionally, we analyzed the expression of non-coding RNAs, including microRNAs (miRNAs) and long intergenic non-coding RNAs (lincRNAs). Infestation by cotton boll weevil larvae triggered a rapid and drastic transcriptional reprogramming, with 1,656 and 1,698 genes modulated after two and twelve hours, respectively. Gene ontology enrichment analysis revealed significant regulation of defense-related and developmental processes, including photosynthesis, primary metabolism, and cell organization. Transcription factor families such as ERF, WRKY, GRAS, and NAC were strongly affected, highlighting their roles in coordinating defense responses. The jasmonate pathway showed intensive modulation, alongside secondary metabolite pathways like terpenoids and phenylpropanoids, which contribute to plant defense mechanisms. Non-coding RNAs also played a critical role in the response. We identified 921 unique known and novel miRNAs, with 36 modulated by the infestation, and predicted 98,850 putative lincRNAs, several of which were differentially expressed. Understanding the genetic and molecular mechanisms underlying cotton’s defense against boll weevil, particularly during early infestation stages, is vital for developing biotechnological strategies to reduce pest damage. Our findings provide critical insights to enhance cotton resilience against herbivores.
2025-08-12 | GSE285343 | GEO
Project description:Oil palm leaves were analysed via proteomics approach to identify the differentially-expressed proteins under Red Palm Weevil infestation on the first, third and sixth week post-infestation. The comparison was made among three groups; the control (C), physical wounding by drilling (wounded,W) and the red palm weevil larva infestation (Infested, I)
2022-02-14 | PXD028986 | Pride
Project description:Acinetobacter strain:Camellia weevil | isolate:Camellia weevil Genome sequencing
| PRJNA785292 | ENA
Project description:As an initial step to explore the cotton (Gossypium hirsutum L.) root transcriptional response to the southern Root-Knot Nematode (RKN) Meloidogyne incognita infestation, conventional heirloom G. hirsutum (Gh) cultivars [susceptible Acala SJ-2 (SJ2), moderately resistant Upland Wild Mexico Jack Jones (WMJJ), and resistant Acala NemX] that have been shown to be useful as an informative genetic model for detecting and introgressing RKN resistance genes into commercial Upland cotton were used to enlighten the molecular mechanisms and gene expression of RKN resistance. Using the next generation sequencing (NGS) Illumina MiSeq and HiSeq, we performed RNA-seq profiling in roots with disease progression of 10 days and collected from 23 days old plants of SJ2, WMJJ, and NemX. With three biological replicates of each treatment from each cultivar, plants were subjected to RKN-infestation and non-infested control developing a total of 18 RNA-seq libraries
2022-04-01 | GSE190503 | GEO
Project description:BACKGROUND: Cotton is a major fibre crop grown worldwide that suffers extensive damage from chewing insects, including the cotton boll weevil larvae (Anthonomus grandis). Transcriptome analysis was performed to understand the molecular interactions between Gossypium hirsutum L. and cotton boll weevil larvae. The Illumina HiSeq 2000 platform was used to sequence the transcriptome of cotton flower buds infested with boll weevil larvae. RESULTS: The analysis generated a total of 327,489,418 sequence reads that were aligned to the G. hirsutum reference transcriptome. The total number of expressed genes was over 21,697 per sample with an average length of 1,063 bp. The DEGseq analysis identified 443 differentially expressed genes (DEG) in cotton flower buds infected with boll weevil larvae. Among them, 402 (90.7%) were up-regulated, 41 (9.3%) were down-regulated and 432 (97.5%) were identified as orthologues of A. thaliana genes using Blastx. Mapman analysis of DEG indicated that many genes were involved in the biotic stress response spanning a range of functions, from a gene encoding a receptor-like kinase to genes involved in triggering defensive responses such as MAPK, transcription factors (WRKY and ERF) and signalling by ethylene (ET) and jasmonic acid (JA) hormones. Furthermore, the spatial expression pattern of 32 of the genes responsive to boll weevil larvae feeding was determined by "in situ" qPCR analysis from RNA isolated from two flower structures, the stamen and the carpel, by laser microdissection (LMD). CONCLUSION: A large number of cotton transcripts were significantly altered upon infestation by larvae. Among the changes in gene expression, we highlighted the transcription of receptors/sensors that recognise chitin or insect oral secretions; the altered regulation of transcripts encoding enzymes related to kinase cascades, transcription factors, Ca2+ influxes, and reactive oxygen species; and the modulation of transcripts encoding enzymes from phytohormone signalling pathways. These data will aid in the selection of target genes to genetically engineer cotton to control the cotton boll weevil.
| S-EPMC4234063 | biostudies-literature
Project description:To explore the bacterial community profile of the gut of the African palm weevil and to identify the abundance and diversity of lignin degradation-associated bacteria in each gut segment.
2025-01-01 | E-MTAB-13719 | biostudies-arrayexpress