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Abstract Background In the realm of swine production, optimizing body composition and reducing excessive fat accumulation is critical for enhancing both economic efficiency and meat quality. Despite the acknowledged impact of dietary calcium (Ca) and phosphorus (P) on lipid metabolism, the precise mechanisms behind their synergistic effects on fat metabolism remain elusive. Results Research observations have shown a decreasing trend in the percentage of crude fat in carcasses with increased calcium and phosphorus content in feed. Concurrently, serum glucose concentrations significantly decreased, though differences in other lipid metabolism-related indicators were not significant across groups. Under conditions of low calcium and phosphorus, there is a significant suppression in the expression of FABPs, CD36 and PPARγ in the jejunum and ileum, leading to inhibited intestinal lipid absorption. Concurrently, this results in a marked increase in lipid accumulation in the liver. Conversely, higher levels of dietary calcium and phosphorus promoted intestinal lipid absorption and reduced liver lipid accumulation, with these changes being facilitated through the activation of the CAMKK2/AMPK signaling pathway by high-calcium-phosphorus diets. Additionally, the levels of calcium and phosphorus in the diet significantly altered the composition of liver lipids and the gut microbiota, increasing α-diversity and affecting the abundance of specific bacterial families related to lipid metabolism. Conclusion The evidence we provide indicates that the levels of calcium and phosphorus in the diet alter body fat content and lipid metabolism by modulating the response of the gut-liver axis to lipids. These effects are closely associated with the activation of the CAMKK2/AMPK signaling pathway.

Abstract Background Targeted drugs are not quite effective for prolonging the survival of patients with gastric cancer due to off-target effects as well as tumor immune escape mechanisms. Circular RNAs widely exist in tumor regions as biomarkers and can be developed as effective drug targets. Methods Western blot, QRT-PCR, fluorescence in situ hybridization, and flow cytometry were used to investigate the function of hsa_circ_0136666 in promoting the proliferation of gastric cancer cells. Tissue immunofluorescence, enzyme-linked immunosorbent assay (ELISA), as well as flow cytometric analysis, was conducted to explore the process of tumor immune evasion in tumor-bearing mice. The differences of circRNA expression in clinical samples were analyzed through tissue microarray FISH. The effect of siRNA on improving the efficacy of anti-PDL1 drugs and suppressing the immune microenvironment was evaluated by the coadministration model. Results We demonstrated that hsa_circ_0136666 was widely and highly expressed in gastric cancer tissues and cells. Functionally, hsa_circ_0136666 promoted gastric cancer tumor proliferation and tumor microenvironment formation, leading to tumorigenesis immune escape, and this effect was dependent on CD8 + T cells. Mechanistically, we confirmed that hsa_circ_0136666 competitively upregulated PRKDC expression by sponging miR-375-3p, regulating immune checkpoint proteins, prompting phosphorylation of PD-L1 to preventing its degradation, driving PD-L1 aggregation and suppressing immune function, thereby impairing cancer immune responses. In terms of application, we found that LNP-siRNA effectively improved anti-PDL1 drug efficacy and inhibited immune escape. Conclusion Our results reveal an oncogenic role played by hsa_circ_0136666 in gastric cancer, driving PD-L1 phosphorylation via the miR-375/PRKDC signaling axis, prompting immune escape. This work proposes a completely new pathogenic mechanism of gastric cancer, uncovers a novel role for hsa_circ_0136666 as an immune target, and provides a rationale for enhancing the efficacy of anti-PD-L1 therapy for gastric cancer.

The evolutionary dynamics and tissue specificity of protein-coding genes are well documented in plants. However, the evolutionary consequences of small RNAs (sRNAs) on tissue-specific functions remain poorly understood. Here, we performed integrated analysis of 195 deeply sequenced sRNA libraries of maize B73, representing more than 10 tissues, and identified a comprehensive list of 419 maize microRNA (miRNA) genes, 271 of which were newly discovered in this study. We further characterized the evolutionary dynamics and tissue specificity of miRNA genes and corresponding miRNA isoforms (isomiRs). Our analysis revealed that tissue specificity of isomiR events tends to be associated with miRNA gene abundance and suggested that the frequencies of isomiR types are affected by the local genomic regions. Moreover, genome duplication (GD) events have dramatic effect on evolutionary dynamics of maize miRNA genes, and the abundance divergence for tissue-specific miRNA genes is associated with GD events. Further study indicated that duplicate miRNA genes with tissue-specific expression patterns, such as miR2275a, a phased siRNA (phasiRNA) trigger, contribute to phenotypic traits in maize. Additionally, our study revealed the expression preference of 21- and 24-nt phasiRNAs in relation to tissue specificity. This large-scale sRNAomic study depicted evolutionary implications of tissue-specific maize sRNAs, which coordinate genome duplication, isomiR modification, phenotypic traits and phasiRNAs differentiation.

Abstract Crops are often subjected to periods of drought stress during their life cycle. However, how stress response mechanisms contribute to the crosstalk between stress signaling pathways and developmental signaling pathways is still unknown. We built a gene co-expression network from a spatio-temporal transcriptomic map of the drought stress response in maize (Zea mays), profiled from three tissues and four developmental stages and characterized hub genes associated with duplication events, selection, and regulatory networks. Co-expression analysis grouped drought-response genes into ten modules, covering 844 highly connected genes (hub genes). Of these, 15.4% hub genes had diverged by whole-genome duplication events and 2.5% might then have been selected during natural domestication and artificial improvement processes, successively. We identified key transcription factor hubs in a transcriptional regulatory network, which may function as a crosstalk mechanism between drought stress and developmental signalling pathways in maize. Understanding the evolutionary biases that have evolved to enhance drought adaptation lays the foundation for further dissection of crosstalk between stress signalling pathways and developmental signalling pathways in maize, towards molecular design of new cultivars with desirable yield and greater stress tolerance.

RNA N6-methyladenosine (m6A) modification is the most abundant form of RNA epigenetic modification in eukaryotes. Given that m6A evolution is associated with the selective constraints of nucleotide sequences in mammalian genomes, we hypothesize that m6A evolution can be linked, at least in part, to genomic duplication events in complex polyploid plant genomes. To test this hypothesis, we presented the maize (Zea mays) m6A modification landscape in a transcriptome-wide manner and identified 11,968 m6A peaks carried by 5,893 and 3,811 genes from two subgenomes (maize1 and maize2, respectively). Each of these subgenomes covered over 2,200 duplicate genes. Within these duplicate genes, those carrying m6A peaks exhibited significant differences in retention rate. This biased subgenome fractionation of m6A-methylated genes is associated with multiple sequence features and is influenced by asymmetric evolutionary rates. We also characterized the coevolutionary patterns of m6A-methylated genes and transposable elements, which can be mediated by whole genome duplication and tandem duplication. We revealed the evolutionary conservation and divergence of duplicated m6A functional factors and the potential role of m6A modification in maize responses to drought stress. This study highlights complex interplays between m6A modification and gene duplication, providing a reference for understanding the mechanisms underlying m6A evolution mediated by genome duplication events. [ABSTRACT FROM AUTHOR]

Main conclusion A large-scale bioinformatics analysis revealed the origin and evolution of GT47 gene family, and identified two clades of intron-poor genes with putative functions in drought stress responses and seed development in maize. Glycosyltransferase family 47 (GT47) genes encode ß-galactosyltransferases and ß-glucuronyltransferases that synthesize pectin, xyloglucans and xylan, which are important components of the plant cell wall. In this study, we performed a systematic and large-scale bioinformatics analysis of GT47 gene family using 352 GT47 proteins from 15 species ranging from cyanobacteria to seed plants. The analysis results showed that GT47 family may originate in cyanobacteria and expand along the evolutionary trajectory to moss. Further analysis of 47 GT47 genes in maize revealed that they can divide into five clades with diverse exon-intron structures. Among these five clades, two were mainly composed with intron-poor genes, which may originate in the moss. Gene duplication analysis revealed that the expansion of GT47 gene family in maize was significantly driven from tandem duplication events and segmental duplication events. Significantly, almost all duplicated genes are intron-poor genes. Expression analysis indicated that several intron-poor GT47 genes may be involved in the drought stress response and seed development in maize. This work provides insight into the origin and evolutionary process, expansion mechanisms and expression patterns of GT47 genes, thus facilitating their functional investigations in the future. [ABSTRACT FROM AUTHOR]

Background: The entire world is facing a deteriorating environment. Understanding the mechanisms underlying plant responses to external abiotic stresses is important for breeding stress-tolerant crops and herbages. Phytohormones play critical regulatory roles in plants in the response to external and internal cues to regulate growth and development. Medicago falcata is one of the stress-tolerant candidate leguminous species and is able to fix atmospheric nitrogen. This ability allows leguminous plants to grow in nitrogen deficient soils. Methods: We performed Illumina sequencing of cDNA prepared from abiotic stress treated M. falcata. Sequencedreads were assembled to provide a transcriptome resource. Transcripts were annotated using BLASTsearches against the NCBI non-redundant database and gene ontology definitions were assigned. Acomparison among the three abiotic stress treated samples was carried out. The expression of transcriptswas confirmed with qRT-PCR. Results: We present an abiotic stress-responsive M. falcata transcriptome using next-generation sequencing data from samples grown under standard, dehydration, high salinity, and cold conditions. We combined reads from all samples and de novo assembled 98,515 transcripts to build the M. falcata gene index. A comprehensive analysis of the transcriptome revealed abiotic stress-responsive mechanisms underlying the metabolism and core signalling components of major phytohormones. We identified nod factor signalling pathways during early symbiotic nodulation that are modified by abiotic stresses. Additionally, a global comparison of homology between the M. falcata and M. truncatula transcriptomes, along with five other leguminous species, revealed a high level of global sequence conservation within the family. Conclusions: M. falcata is shown to be a model candidate for studying abiotic stress-responsive mechanisms in legumes. This global gene expression analysis provides new insights into the biochemical and molecular mechanisms involved in the acclimation to abiotic stresses. Our data provides many gene candidates that might be used for herbage and crop breeding. Additionally, FalcataBase (http://bioinformatics.cau.edu.cn/falcata/) was built for storing these data. [ABSTRACT FROM AUTHOR]