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Identification of key genes and metabolites involved in meat quality performance in Qinchuan cattle by WGCNA
Hengwei Yu, Zhimei Yang, Jianfang Wang, Huaxuan Li, Xuefeng Li, Entang Liang, Chugang Mei, Linsen Zan
2024, 23 (11): 3923-3937.   DOI: 10.1016/j.jia.2024.07.044
Abstract97)      PDF in ScienceDirect      
Understanding the genetic and metabolic elements that impact meat quality is crucial to improving production and meeting consumer demands in the beef sector.  Differences in meat quality among various muscle areas in beef cattle can impact pricing in the market.  Despite progress in genomics, the specific genes and metabolites that affect meat quality characteristics in Qinchuan cattle remain inadequately understood.  Therefore, this study aims to evaluate the meat quality characteristics of four specific muscle locations (tenderloin, striploin, high rib, and ribeye muscles) in Qinchuan bulls, including 10 traits (total protein content (TPC), intramuscular fat (IMF), non-esterified fatty acid (NEFA), meat color (L*, a*, and b*), shear force (SF), cooking loss (CL), pH0, and pH24).  This experiment uses transcriptome, metabolome sequencing, and sophisticated analytical methodologies such as weighted gene co-expression network analysis (WGCNA) and protein–protein interaction networks (PPI) to identify the key genes and metabolites associated with specific traits.  The findings highlight three notable genes (NDUFAB1, NDUFA12, and NDUFB7) linked to intramuscular fat (IMF), three key genes (CSRP3, ACAA3, and ACADVL) correlated with non-esterified fatty acids (NEFA), and one crucial gene (CREBBP) influencing meat color.  In conclusion, this investigation offers a new perspective on the differences in bovine muscle locations and contributes to the molecular understanding of bovine meat quality.  Future research endeavors could delve deeper into the identified genes and pathways to enhance beef cattle’s quality and yield.


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A survey on the off-target effects of insecticidal double-stranded RNA targeting the Hvβ´COPI gene in the crop pest Henosepilachna vigintioctopunctata through RNA-seq

LÜ Jing, Satyabrata NANDA, CHEN Shi-min, MEI Yang, HE Kang, QIU Bao-li, ZHANG You-jun, LI Fei, PAN Hui-peng
2022, 21 (9): 2665-2674.   DOI: 10.1016/j.jia.2022.07.015
Abstract198)      PDF in ScienceDirect      

The specificity of the double-stranded RNA (dsRNA) used in the RNA interference (RNAi) technique is crucial for the success of sequence-specific gene silencing.  Currently, RNAi-mediated insect control is a trending research topic.  However, the off-target effects of the dsRNA in RNAi are a major concern.  In this study, the dsHvβ´COPI (coat protein complex I, β´ subunit)-treated and untreated transcriptomes of the 28-spotted potato lady beetle (Henosepilachna vigintioctopunctata) were compared to understand its off-target gene silencing effects.  The RNA-seq results revealed that 63 and 44 differentially expressed genes (DEGs) were upregulated and downregulated, respectively, in the dsHvβ´COPI treated group as compared with the control.  Validation of the differential expressions of some selected DEGs via reverse transcription-quantitative PCR (RT-qPCR) analysis confirmed the reliability of the transcriptome analysis results.  Further downstream analysis revealed that there were no genes homologous with Hvβ´COPI in Hvigintioctopunctata.  Additionally, no genes with a >11 bp continuous match with dsHvβ´COPI were found in the Hvigintioctopunctata transcriptome.  Six genes (Hvcitron, Hvhelicase, Hvtransposase, Hvserine, Hvdynein, and HvE3 ubiquitin) were selected to examine the off-target activity of dsHvβ´COPI based on their potential involvement in various Hvigintioctopunctata metabolic pathways.  The severity of silencing these six off-target genes was evaluated by employing RNAi.  The RNAi results confirmed the downregulation of the expression of all six genes, although there was no significant lethality.  The findings of this study will be helpful in the risk analysis of future RNAi-mediated pest control experiments.

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