98%
921
2 minutes
20
Drought is a major abiotic stress affecting crop productivity and quality. As a class of noncoding RNA, microRNA (miRNA) plays important roles in plant growth, development, and stress response. However, their response and roles in tomato drought stress is largely unknown. Here, by using high-throughput sequencing, we compared the miRNA profiles before and after drought treatment in two tomato genotypes: M82, a drought-sensitive cultivated tomato (Solanum lycopersicum), and IL2-5, a drought-tolerant introgression line derived from M82 and the tomato wild species S. pennellii (LA0716). A total of 108 conserved and 208 novel miRNAs were identified, among them, 32 and 68 were significantly changed in expression after stress. Further, 1936 putative target genes were predicted for those differentially-expressed miRNAs. Gene ontology and pathway analysis showed that many of the target genes were involved in stress resistance, such as genes in GO terms including response to stress, defense response, response to stimulus, phosphorylation, and signal transduction. Our results suggested that miRNAs play an essential role in the drought response of tomato. This work will help to further characterize specific miRNAs functioning in drought tolerance.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s10142-017-0575-7 | DOI Listing |
Genome Biol
September 2025
Department of Clinical Pharmacy, Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, 90089, USA.
Background: Recent advances in high-throughput sequencing technologies have enabled the collection and sharing of a massive amount of omics data, along with its associated metadata-descriptive information that contextualizes the data, including phenotypic traits and experimental design. Enhancing metadata availability is critical to ensure data reusability and reproducibility and to facilitate novel biomedical discoveries through effective data reuse. Yet, incomplete metadata accompanying public omics data may hinder reproducibility and reusability and limit secondary analyses.
View Article and Find Full Text PDFGenome Biol
September 2025
Department of Evolutionary Genetics, Max-Planck Institute for Evolutionary Biology, Plön, Germany.
Background: Most RNA-seq datasets harbor genes with extreme expression levels in some samples. Such extreme outliers are usually treated as technical errors and are removed from the data before further statistical analysis. Here we focus on the patterns of such outlier gene expression to investigate whether they provide insights into the underlying biology.
View Article and Find Full Text PDFBioinformatics
September 2025
Department of Mathematical Sciences, The University of Texas at Dallas, TX United States.
Motivation: The advent of next-generation sequencing-based spatially resolved transcriptomics (SRT) techniques has reshaped genomic studies by enabling high-throughput gene expression profiling while preserving spatial and morphological context. Understanding gene functions and interactions in different spatial domains is crucial, as it can enhance our comprehension of biological mechanisms, such as cancer-immune interactions and cell differentiation in various regions. It is necessary to cluster tissue regions into distinct spatial domains and identify discriminating genes that elucidate the clustering result, referred to as spatial domain-specific discriminating genes (DGs).
View Article and Find Full Text PDFInt J Environ Health Res
September 2025
Department of Epidemiology, School of Public Health, Shanxi Medical University, Jinzhong, China.
The mechanism underlying the effects of Polycyclic aromatic hydrocarbons (PAHs) on missed abortion (MA) remains unclear. This study explored the relationship between PAHs exposure, telomere length (TL), metabolizing enzyme gene polymorphism, and MA in a case-control study with 253 pregnant women. A competitive enzyme-linked immunosorbent assay (ELISA) was used to quantify PAH-DNA adducts.
View Article and Find Full Text PDFBackground: Actinomyces graevenitzii is a relatively uncommon Actinomyces species, which is an oral species and predominantly recovered from respiratory locations [1,2]. It is a gram-positive anaerobic bacteria or microaerobic filamentation bacteria, which can induce pyogenic and granulomatous inflammation characterized by swelling and concomitant pus, sinus formation, and the formation of yellow sulfur granules. All tissues and organs can be infected; the most common type involves the neck and face (55%), followed by the abdominal and pelvic cavities (20%).
View Article and Find Full Text PDF