Transcriptome analysis reveals the role of Long noncoding RNAs (lncRNA) in specific deposition of inosine monphosphate in Jingyuan chickens.

Inosine monphosphate (IMP) is one of the important indicators for evaluating meat flavor, and long noncoding RNAs (lncRNAs) play an important role in its transcription and post-transcriptional regulation. Currently, there is little information about how lncRNA regulates the specific deposition of IMP in chicken muscle. In this study, we used transcriptome sequencing to analyze the lncRNAs of the breast and leg muscles of the Jingyuan chicken and identified a total of 357 differentially expressed lncRNAs (DELs), of which 158 were up-regulated and 199 were down-regulated. There were 2,203 and 7,377 cis- and trans-regulated target genes of lncRNAs, respectively, and we identified the lncRNA target genes that are involved in NEGF signaling pathway, glycolysis/ glucoseogenesis and biosynthesis of amino acids pathways. Meanwhile, 621 pairs of lncRNA-miRNA-mRNA interaction networks were constructed with target genes involved in purine metabolism, fatty acid metabolism, and biosynthesis of amino acids. Next, three interacting meso-networks gga-miR-1603-LNC_000324-PGM1, gga-miR-1768-LNC_000324-PGM1 and gga-miR-21-LNC_011339- AMPD1 were identified as closely associated with IMP-specific deposition. Both differentially expressed genes (DEGs) PGM1 and AMPD1 were significantly enriched in IMP synthesis and metabolism-related pathways, and participated in the anabolic process of IMP in the form of organic matter synthesis and energy metabolism. This study obtained lncRNAs and target genes affecting IMP-specific deposition in Jingyuan chickens based on transcriptome analysis, which deepened our insight into the role for lncRNAs in chicken meat quality.

Regulatory role of N6-methyladenosine in intramuscular fat deposition in chicken.

Intramuscular fat (IMF) has a pivotal influence on meat quality, with its deposition being a multifaceted physiological interaction of several regulatory factors. N6-methyladenosine (m6A), the preeminent epigenetic alteration among eukaryotic RNA modifications, holds a crucial role in moderating post-transcriptional gene expression. However, there is a dearth of comprehensive understanding regarding the functional machinery of m6A modification in the context of IMF deposition in poultry. Our current study entails an analysis of the disparities in IMF within the breast and leg of 180-day-old Jingyuan chickens. We implemented methylated RNA immunoprecipitation sequencing (MeRIP-seq) and RNA sequencing (RNA-seq) to delve into the distribution of m6A and its putative regulatory frameworks on IMF deposition in chickens. The findings demonstrated a markedly higher IMF content in leg relative to breast (P < 0.01). Furthermore, the expression of METTL14, WTAP, FTO, and ALKBH5 was significantly diminished in comparison to that of breast (P < 0.01). The m6A peaks in the breast and leg primarily populated 3'untranslated regions (3'UTR) and coding sequence (CDS) regions. The leg, when juxtaposed with the breast, manifested 176 differentially methylated genes (DMGs), including 151 hyper-methylated DMGs and 25 hypo-methylated DMGs. The Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed a pronounced enrichment of DMGs in the biosynthesis of amino acids, peroxisome, Fatty acid biosynthesis, fatty acid elongation, and cell adhesion molecules (CAMs) pathways. Key DMGs, namely ECH1, BCAT1, and CYP1B1 were implicated in the regulation of muscle lipid anabolism. Our study offers substantial insight and forms a robust foundation for further exploration of the functional mechanisms of m6A modification in modulating IMF deposition. This holds profound theoretical importance for improving and leveraging meat quality in indigenous chicken breeds.

Study on CAT activity of tomato leaf cells under salt stress based on microhyperspectral imaging and transfer learning algorithm.

Salt stress easily leads to oxidative stress and promotes the catalase (CAT) response in tomato leaves. For the changes in catalase activity in leaf subcells, there is a need for a visual in situ detection method and mechanism analysis. This paper, taking catalase in leaf subcells under salt stress as the starting point, describes the use of microscopic hyperspectral imaging technology to dynamically detect and study catalase activity from a microscopic perspective, and lay the theoretical foundation for exploring the detection limit of catalase activity under salt stress. In this study, a total of 298 microscopic images were obtained under different concentrations of salt stress (0 g/L, 1 g/L, 2 g/L, 3 g/L) in the spectral range of 400-1000 nm. With the increase in salt solution concentration and the advancement of the growth period, the CAT activity value increased. Regions of interest were extracted according to the reflectance of the samples, and the model was established by combining CAT activity. The characteristic wavelength was extracted by five methods (SPA, IVISSA, IRFJ, GAPLSR and CARS), and four models (PLSR, PCR, CNN and LSSVM) were established according to the characteristic wavelengths. The results show that the random sampling (RS) method was better for the selection samples of the correction set and prediction set. Raw wavelengths are optimized as the pretreatment method. The partial least-squares regression model based on the IRFJ method is the best, and the coefficient of correlation (Rp) and root mean square error of the prediction set (RMSEP) are 0.81 and 58.03 U/g, respectively. According to the ratio of microarea area to the area of the macroscopic tomato leaf slice, the Rp and RMSEP of the prediction model for the detection of microarea cells are 0.71 and 23.00 U/g, respectively. Finally, the optimal model was used for quantitative visualization analysis of CAT activity in tomato leaves, and the distribution of CAT activity was consistent with its color trend. The results show that it is feasible to detect the CAT activity in tomato leaves by microhyperspectral imaging combined with stoichiometry.