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Adaptation and livelihood resilience are two key concepts for understanding the climate change process of smallholder farmers, but the relationships between them are not well understood. In this paper, with supporting data from household questionnaire surveys in four regions of the Tibetan Plateau (n = 1552), we aim to explore the relationships between smallholder farmers’ climate adaptation and livelihood resilience. Based on existing studies, we developed a conceptual framework to integrate adaptation and livelihood resilience, and constructed a quantitative indicator system to measure livelihood resilience. The adaptation measures adopted by smallholders were classified into stepping out (SO) and stepping up (SU) strategies, and the livelihood resilience of smallholders with different adaptation strategies was calculated and compared using one-way analysis of variance. The multinomial logit (mlogit) model was used to examine the factors influencing the adoption of different adaptation strategies by smallholders. The results showed that the livelihood resilience of smallholders who adopted adaptation strategies was higher than that of those who did not, while the livelihood resilience of smallholders who adopted SO strategies was higher than that of those who adopted SU strategies. The mlogit model reported the factors that influence the adoption of different adaptation strategies by smallholders: household size, health conditions, number of cropland plots, agricultural equipment, number of livestock, and nonagricultural income. These indicators play different roles in the adoption of different adaptation strategies by smallholders. In particular, local government interventions (credit, cooperatives, training) are not only an important component of smallholders’ livelihood resilience, but also important determinants of their livelihood strategies. Based on our findings, it is recommended that the government should promote smallholders’ adaptation and strengthen their livelihood resilience to climate change by expanding the coverage of credit, cooperatives, and training, diversifying the forms of cooperatives, enriching the content of training, and increasing the frequency of training.

Abstract Background Understanding gene transcription and mRNA-protein (mRNP) dynamics in single cells in a multicellular organism has been challenging. The catalytically dead CRISPR-Cas13 (dCas13) system has been used to visualize RNAs in live cells without genetic manipulation. We optimize this system to track developmentally expressed mRNAs in zebrafish embryos and to understand features of endogenous transcription kinetics and mRNP export. Results We report that zygotic microinjection of purified CRISPR-dCas13-fluorescent proteins and modified guide RNAs allows single- and dual-color tracking of developmentally expressed mRNAs in zebrafish embryos from zygotic genome activation (ZGA) until early segmentation period without genetic manipulation. Using this approach, we uncover non-synchronized de novo transcription between inter-alleles, synchronized post-mitotic re-activation in pairs of alleles, and transcriptional memory as an extrinsic noise that potentially contributes to synchronized post-mitotic re-activation. We also reveal rapid dCas13-engaged mRNP movement in the nucleus with a corralled and diffusive motion, but a wide varying range of rate-limiting mRNP export, which can be shortened by Alyref and Nxf1 overexpression. Conclusions This optimized dCas13-based toolkit enables robust spatial-temporal tracking of endogenous mRNAs and uncovers features of transcription and mRNP motion, providing a powerful toolkit for endogenous RNA visualization in a multicellular developmental organism.

Visualizing RNA dynamics is important for understanding RNA function. Catalytically dead (d) CRISPR-Cas13 systems have been established to image and track RNAs in living cells, but efficient dCas13 for RNA imaging is still limited. Here, we analyzed metagenomic and bacterial genomic databases to comprehensively screen Cas13 homologies for their RNA labeling capabilities in living mammalian cells. Among eight previously unreported dCas13 proteins that can be used for RNA labeling, dHgm4Cas13b and dMisCas13b displayed comparable, if not higher, efficiencies to the best-known ones when targeting endogenous MUC4 and NEAT1_2 by single guide (g) RNAs. Further examination of the labeling robustness of different dCas13 systems using the GCN4 repeats revealed that a minimum of 12 GCN4 repeats was required for dHgm4Cas13b and dMisCas13b imaging at the single RNA molecule level, while >24 GCN4 repeats were required for reported dLwaCas13a, dRfxCas13d and dPguCas13b. Importantly, by silencing pre-crRNA processing activity of dMisCas13b (ddMisCas13b) and further incorporating RNA aptamers including PP7, MS2, Pepper or BoxB to individual gRNAs, a CRISPRpalette system was developed to successfully achieve multi-color RNA visualization in living cells.

Methylprednisolone (MP) is an anti-inflammatory drug approved for the treatment of acute spinal cord injuries (SCIs). However, MP administration for SCIs has become a controversial issue while the molecular effects of MP remain unexplored to date. Therefore, delineating the benefits and side effects of MP and determining what MP cannot cure in SCIs at the molecular level are urgent issues. Here, genomic profiles of the spinal cord in rats with and without injury insults, and those with and without MP treatment, were generated at 0, 2, 4, 6, 8, 12, 24, and 48 h post-injury. A comprehensive analysis was applied to obtain three distinct classes: side effect of MP (SEMP), competence of MP (CPMP), and incapability of MP (ICMP). Functional analysis using these genes suggested that MP exerts its greatest effect at 8~12 h, and the CPMP was reflected in the immune response, while SEMP suggested aspects of metabolism, such as glycolysis, and ICMP was on neurological system processes in acute SCIs. For the first time, we are able to precisely reveal responsive functions of MP in SCIs at the molecular level and provide useful solutions to avoid complications of MP in SCIs before better therapeutic drugs are available.

Carbonic anhydrases (CAs) are acid–base regulatory proteins that modulate a variety of physiological functions. Recent findings have shown that CAIX is particularly upregulated in glioblastoma multiforme (GBM) and is associated with a poor patient outcome and survival rate. An analysis of the GSE4290 dataset of patients with gliomas showed that CAIX was highly expressed in GBM and was negatively associated with prognosis. The expression of CAIX under hypoxic conditions in GBM significantly increased in protein, mRNA, and transcriptional activity. Importantly, CAIX upregulation also regulated GBM motility, monocyte adhesion to GBM, and the polarization of tumor-associated monocytes/macrophages (TAM). Furthermore, the overexpression of CAIX was observed in intracranial GBM cells. Additionally, epidermal growth factor receptor/signal transducer and activator of transcription 3 regulated CAIX expression under hypoxic conditions by affecting the stability of hypoxia-inducible factor 1α. In contrast, the knockdown of CAIX dramatically abrogated the change in GBM motility and monocyte adhesion to GBM under hypoxic conditions. Our results provide a comprehensive understanding of the mechanisms of CAIX in the GBM microenvironment. Hence, novel therapeutic targets of GBM progression are possibly developed.