Highlights d NTS Calcr mediates food intake suppression but not aversive responses to sCT d Activating NTS Calcr neurons non-aversively suppresses feeding d These neurons act via non-CGRP PBN neurons d These neurons control long-term energy balance, not just short-term feeding

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mTORC1 is a protein kinase important for metabolism and is regulated by growth factor and nutrient signaling pathways, mediated by the Rheb and Rag GTPases, respectively. Here we provide the first animal model in which both pathways were upregulated through concurrent mutations in their GTPase-activating proteins, Tsc1 and Depdc5. Unlike former models that induced limited mTORC1 upregulation, hepatic deletion of both Tsc1 and Depdc5 (DKO) produced strong, synergistic activation of the mTORC1 pathway and provoked pronounced and widespread hepatocyte damage, leading to externally visible liver failure phenotypes, such as jaundice and systemic growth defects. The transcriptome profile of DKO was different from single knockout mutants but similar to those of diseased human livers with severe hepatitis and mouse livers challenged with oxidative stress-inducing chemicals. In addition, DKO liver cells exhibited prominent molecular pathologies associated with excessive endoplasmic reticulum (ER) stress, oxidative stress, DNA damage and inflammation. Although DKO liver pathologies were ameliorated by mTORC1 inhibition, ER stress suppression unexpectedly aggravated them, suggesting that ER stress signaling is not the major conduit of how hyperactive mTORC1 produces liver damage. Interestingly, superoxide scavengers N-acetylcysteine (NAC) and Tempol, chemicals that reduce oxidative stress, were able to recover liver phenotypes, indicating that mTORC1 hyperactivation induced liver damage mainly through oxidative stress pathways. Our study provides a new model of unregulated mTORC1 activation through concomitant upregulation of growth factor and nutrient signaling axes and shows that mTORC1 hyperactivation alone can provoke oxidative tissue injury.

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Camellia oleifera is an important woody plant producing healthy edible oils. People need a large number of molecular markers, especially microsatellite, in breeding of C. oleifera. In this study, we sequenced the root transcriptomes of C. oleifera, and then designed a novel set of microsatellite markers based on the root-expressed genes. We assembled a total of 57,121 unigenes with a length of 42.63 Mb, which harboured 15,902 microsatellites. Among these microsatellites, di-nucleotide repeat motifs were the most abundant group (56.45%), then followed by tri- (25.20%), mono- (12.12%), hexa- (3.21%), penta- (2.18%) and quad-nucleotide ones (0.84%). In total, 6738 primer pairs were designed successfully to amplify the microsatellite loci. To test these microsatellite markers, 48 primer pairs were randomly selected and synthesized and validated in C. oleifera and its eight relatives. Up to 75% of the primer pairs amplified in C. oleifera and its relatives, and 62.5% displayed polymorphism. The transferability and diverse alleles across its eight relatives were detected for each polymorphic primer pair. The novel set of microsatellites derived from the root transcriptomes here provided a useful resource for future molecular genetics improvement of C. oleifera and its relatives.

At present, the epidemic situation of COVID-19 is raging rampantly in the whole world, affecting the hearts of billions of people. The new coronavirus has been detected in many foods and agricultural products. At the same time, vaccines and medicines to prevent or treat COVID-19 are also stepping up research and development and gradually put into use. The quality and safety of foods, medicines, and agricultural products are directly related to the lives and health of people. There are many potential dangers and hidden risks of accidents in the production, sale, and transportation of dangerous goods and special equipment. Therefore, it is necessary to effectively monitor and record the workflow of the above productions or goods. In this paper, we developed an important product traceability public service cloud platform (IPTPSCP) based on batch identification and record keeping with International Two-Dimensional Code Object Identifier System (IDcode) coding rules. Through a case study of the tea factory that produces and sells Xinyang Maojian tea, a test and implementation of IPTPSCP was shown by designing a colorful QR code to prevent the traceability information from being forged in batches. Judging from the overall effect of the practical application of more than a dozen settled enterprises, IPTPSCP has improved the efficiency of data collection and monitoring by about 13%. The results show that the IPTPSCP can be considered as an effective tool to guarantee the quality and safety of products. Besides, since it is not required for the enterprise to invest much money and manpower to develop software, IPTPSCP reduces the cost of implementing product traceability by about 36%.

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