The Oryza sativa transcriptome responds spatiotemporally to polystyrene nanoplastic stress (Record no. 55709)

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fixed length control field 02685nam a2200241Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field MX-MdCICY
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250626083336.0
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Transcribing agency CICY
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Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) B-21642
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Title The Oryza sativa transcriptome responds spatiotemporally to polystyrene nanoplastic stress
490 0# - SERIES STATEMENT
Series statement Science of The Total Environment, 928, p.172449, 2024
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General note Artículo
520 3# - SUMMARY, ETC.
Summary, etc. Nanoplastic represents an emerging abiotic stress facing modern agriculture, impacting global crop production. However, the molecular response of crop plants to this stress remains poorly understood at a spatiotemporal resolution. We therefore used RNA sequencing to profile the transcriptome expressed in rice (Oryza sativa) root and leaf organs at 1, 2, 4, and 8 d post exposure with nanoplastic. We revealed a striking similarity between the rice biomass dynamics in aboveground parts to that in belowground parts during nanoplastic stress, but transcriptome did not. At the global transcriptomic level, a total of 2332 differentially expressed genes were identified, with the majority being spatiotemporal specific, reflecting that nanoplastics predominantly regulate three processes in rice seedlings: (1) down-regulation of chlorophyll biosynthesis, photosynthesis, and starch, sucrose and nitrogen metabolism, (2) activation of defense responses such as brassinosteroid biosynthesis and phenylpropanoid biosynthesis, and (3) modulation of jasmonic acid and cytokinin signaling pathways by transcription factors. Notably, the genes involved in plant-pathogen interaction were shown to be successively modulated by both root and leaf organs, particularly plant disease defense genes (OsWRKY24, OsWRKY53, Os4CL3, OsPAL4, and MPK5), possibly indicating that nanoplastics affect rice growth indirectly through other biota. Finally, we associated biomass phenotypes with the temporal reprogramming of rice transcriptome by weighted gene coexpression network analysis, noting a significantly correlation with photosynthesis, carbon metabolism, and phenylpropanoid biosynthesis that may reflect the mechanisms of biomass reduction. Functional analysis further identified PsbY, MYB, cytochrome P450, and AP2/ERF as hub genes governing these pathways. Overall, our work.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element RICE GROWTH
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element ORGAN-SPECIFIC GENE EXPRESSION
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element TIME SERIES
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element GENE REGULATORY NETWORKS
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element RNA SEQUENCING
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Xu, C.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://drive.google.com/file/d/1LGvntFqyooOx-cVuxEPHJYHIZK3w0k1U/view?usp=drive_link">https://drive.google.com/file/d/1LGvntFqyooOx-cVuxEPHJYHIZK3w0k1U/view?usp=drive_link</a>
Public note Para ver el documento ingresa a Google con tu cuenta: @cicy.edu.mx
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Source of classification or shelving scheme Clasificación local
Koha item type Documentos solicitados
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  Clasificación local     Ref1 CICY CICY Documento préstamo interbibliotecario 26.06.2025   B-21642 26.06.2025 26.06.2025 Documentos solicitados