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Harnessing PGPRs from Asparagus officinalis to Increase the Growth and Yield of Zea mays L.
Microb Ecol
January 2025
Department of Biotechnology, Center for Research and Innovation in Multidisciplinary Active Sciences (CIICAM), Chiclayo, Peru.
Microbial biotechnology employs techniques that rely on the natural interactions that occur in ecosystems. Bacteria, including rhizobacteria, play an important role in plant growth, providing crops with an alternative that can mitigate the negative effects of abiotic stress, such as those caused by saline environments, and increase the excessive use of chemical fertilizers. The present study examined the promoting potential of bacterial isolates obtained from the rhizospheric soil and roots of the Asparagus officinalis cultivar UF-157 F2 in Viru, la Libertad, Peru.
View Article and Find Full Text PDFCorrelation analysis of transcriptome and metabolomics and functional study of Galactinol synthase gene (VcGolS3) of blueberry under salt stress.
Plant Mol Biol
January 2025
College of Horticulture and Landscape, Tianjin Agricultural University, Tianjin, 300392, China.
Soil salinity poses a significant environmental challenge for the growth and development of blueberries. However, the specific mechanisms by which blueberries respond to salt stress are still not fully understood. Here, we employed a comprehensive approach integrating physiological, metabolomic, and transcriptomic analyses to identify key metabolic pathways in blueberries under salt stress.
View Article and Find Full Text PDFEcogenomic insights into the resilience of keystone Blastococcus Species in extreme environments: a comprehensive analysis.
BMC Genomics
January 2025
Department of Biological and Chemical Engineering, USCR Molecular Bacteriology and Genomics, University of Carthage, National Institute of Applied Sciences and Technology, Tunis, 2080, Tunisia.
Background: The stone-dwelling genus Blastococcus plays a key role in ecosystems facing extreme conditions such as drought, salinity, alkalinity, and heavy metal contamination. Despite its ecological significance, little is known about the genomic factors underpinning its adaptability and resilience in such harsh environments. This study investigates the genomic basis of Blastococcus's adaptability within its specific microniches, offering insights into its potential for biotechnological applications.
View Article and Find Full Text PDFSpatiotemporal transcriptome and metabolome landscapes of cotton somatic embryos.
Nat Commun
January 2025
Zhengzhou Research Base, State Key Laboratory of Cotton Bio-breeding and Integrated Utilization, School of Agricultural Sciences, Zhengzhou University, Zhengzhou, 450000, China.
Somatic embryogenesis (SE) is a developmental process related to the regeneration of tissue-cultured plants, which serves as a useful technique for crop breeding and improvement. However, SE in cotton is difficult and elusive due to the lack of precise cellular level information on the reprogramming of gene expression patterns involved in somatic embryogenesis. Here, we investigate the spatial and single-cell expression profiles of key genes and the metabolic patterns of key metabolites by integrated single-cell RNA-sequencing (scRNA-seq), spatial transcriptomics (ST), and spatial metabolomics (SM).
View Article and Find Full Text PDFSpatiotemporal transcriptome and metabolome landscapes of cotton fiber during initiation and early development.
Nat Commun
January 2025
State Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China.
Cotton fibers are single cells that develop from the epidermal cells in the outer integument of developing seeds. The processes regulating fiber cell development have been extensively studied; however, the spatiotemporal transcriptome and metabolome profiles during the early stages of fiber development remain largely unknown. In this study, we profile the dynamics of transcriptome and metabolome during the early stages of cotton fiber cell development using a combination of spatial transcriptomic, single-cell transcriptomic, and spatial metabolomic analyses.
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