Complete mitochondrial genome of Gortyna guizhouensis Wu, Yang, and Han, 2022 (Lepidoptera, Noctuidae) from China.

Gortyna guizhouensis Wu, Yang, and Han, 2022 (Lepidoptera, Noctuidae) is a newly discovered moth species that feeds on tobacco piths during the larval stage. In this study, we sequenced and analyzed the complete mitochondrial genome (mitogenome) of G. guizhouensis larvae via next-generation sequencing. The mitogenome was 15,441 bp long with an overall A + T content of 79.1%, 13 protein-coding genes (PCGs), 22 transfer RNA genes (tRNAs), two ribosomal RNA subunit genes and one control region. The phylogenetic tree, based on the nucleic acid sequences of 13 shared PCGs of 20 Noctuidae species, revealed that G. guizhouensis is in a well-supported clade with Striacosta albicosta.

The complete mitochondrial genome of Picromerus lewisi Scott 1874 (Hemiptera: Pentatomidae: Asopinae).

Picromerus lewisi Scott (Hemiptera: Pentatomidae) is a widely used natural enemy, through this study, we proved that its complete mitochondrial genome of it had similar characteristics to those of other Hemiptera. The mitogenome of P. lewisi is a circular molecule of 18,123 bp with 74.0% A + T content, containing 13 protein-coding genes (PCGs), 22 tRNAs, 2 rRNAs, and one control region. Phylogenetic tree based on 13 PCGs from 17 Panheteroptera species (two species of the Cimicomorpha are used as outgroup, 15 species belong to the Pentatomomorpha) suggested that P. lewisi has a closer relationship with E. thomsoni within Pentatomidae family.

PARP Inhibition Induces Synthetic Lethality and Adaptive Immunity in LKB1-Mutant Lung Cancer.

Contradictory characteristics of elevated mutational burden and a "cold" tumor microenvironment (TME) coexist in liver kinase B1 (LKB1)-mutant non-small cell lung cancers (NSCLC). The molecular basis underlying this paradox and strategies tailored to these historically difficult to treat cancers are lacking. Here, by mapping the single-cell transcriptomic landscape of genetically engineered mouse models with Kras versus Kras/Lkb1-driven lung tumors, we detected impaired tumor-intrinsic IFNγ signaling in Kras/Lkb1-driven tumors that explains the inert immune context. Mechanistic analysis showed that mutant LKB1 led to deficiency in the DNA damage repair process and abnormally activated PARP1. Hyperactivated PARP1 attenuated the IFNγ pathway by physically interacting with and enhancing the poly(ADP-ribosyl)ation of STAT1, compromising its phosphorylation and activation. Abrogation of the PARP1-driven program triggered synthetic lethality in NSCLC on the basis of the LKB1 mutation-mediated DNA repair defect, while also restoring phosphorylated STAT1 to favor an immunologically "hot" TME. Accordingly, PARP1 inhibition restored the disrupted IFNγ signaling and thus mounted an adaptive immune response to synergize with PD-1 blockade in multiple LKB1-deficient murine tumor models. Overall, this study reveals an unexplored interplay between the DNA repair process and adaptive immune response, providing a molecular basis for dual PARP1 and PD-1 inhibition in treating LKB1-mutant NSCLC. SIGNIFICANCE: Targeting PARP exerts dual effects to overcome LKB1 loss-driven immunotherapy resistance through triggering DNA damage and adaptive immunity, providing a rationale for dual PARP and PD-1 inhibition in treating LKB1-mutant lung cancers.

[Comparison of Bacterial Community Structure in Soil Aggregates Between Natural Karst Wetland and Paddy Field].

Studying the impact of land-use changes in wetland systems on the community structure of bacteria in soil aggregates can provide a theoretical basis for elucidating the impact mechanisms of the stability of wetland soil aggregates. The soil samples (0-20 cm) were collected from a natural wetland and paddy field in the Huixian karst wetland. The bacterial community structure in soil aggregates (macroaggregates 0.25-2 mm, microaggregates 0.053-0.25 mm, and silt-clay<0.053 mm) were analyzed using high-throughput sequencing and ecological network analysis. The results showed that ① the proportion of microaggregates in the paddy field was 29.64%, which was significantly higher than that in the natural wetland (22.20%), and ② there were differences in the relative abundance of bacteria between the natural wetland and paddy field. The relative abundance of Chloroflexi in macroaggregates, microaggregates, and silt-clay in the paddy field were 7.97%, 8.56%, and 7.40%, respectively, which were significantly higher than those in the natural wetland (4.93%, 4.81%, and 3.76%). The relative abundance of Anaerolineales in macroaggregates, microaggregates, and silt-clay in the paddy field were 2.35%, 3.03%, and 2.65%, respectively, which were significantly higher than those in the natural wetland (0.92%, 0.91%, and 0.43%).③ Ecological network analysis showed that the number of nodes, edges, and the average numbers of neighbors in microaggregates and the silt-clay network in the paddy field were higher than those in the natural wetland, the average connectivity of the network was greater in the two components, and the characteristic path length was shorter. There was a longer characteristic path length, higher modularity, and lower average connectivity in the macroaggregate network of the paddy field. The above results indicated that the bacterial community structure in soil aggregates was altered after a natural wetland was used as a paddy field. The material circulation and information transmission efficiency of bacterial communities was higher in both microaggregates and silt-clay of the paddy field, whereas the bacterial community structure with low network tightness and high modularity in macroaggregates was more stable.

[Comparison of Bacterial Community Structure and Functional Groups of Paddy Soil Aggregates Between Karst and Non-karst Areas].

Studying the similarities and differences in microbial community structure and functional groups in soil aggregates between karst areas (KA) and non-karst areas (NKA) can provide a theoretical basis for revealing the interaction mechanism between soil organic microorganisms and soil aggregate structure stability in KA. The surface soils (0-20 mm) were collected from paddy fields both in KA and NKA. The aggregates were divided into macro-aggregates (Mac, 0.25-2 mm), micro-aggregates (Mic, 0.053-0.25 mm), and silt-clay fractions (SC,<0.053 mm) using the wet sieving method. The microbial community structure of soil aggregates was analyzed using high-throughput sequencing. The keystone taxa were analyzed by the co-occurrence network, and their functions were predicted by FAPROTAX. The results showed that:① the proportion of Mac, mean weight diameter, and geometric mean diameter of aggregates in KA were 30.94%, 0.41 mm, and 0.15 mm, respectively. These three factors in KA were significantly higher than those in NKA, indicating that the environment in the KA was conducive to the formation of aggregates. ② The relative abundances of Acidobacteria, Proteobacteria, Acidobacteria(Gp3, Gp4, and Gp6), and Sphingomonas in three particle size aggregates in KA were higher than those in NKA. The relative abundance of Chloroflexi (6.13%) in Mic in KA was significantly higher than that in SC (2.79%). ③ Co-occurrence network analysis showed that Proteobacteria and Acidobacteria were keystone taxa in three particle size aggregates. The positive correlation edge (65.5%) of bacteria in KA was the highest, and most of the correlation was synergistic. ④ Chemoheterotrophy (15.52%, 15.30%, and 16.89%) and aerobic chemoheterotrophy (14.62%, 14.38%, and 15.97%) were the most dominant functional groups in the three particle size aggregates in KA, and their relative abundance was significantly higher than those in NKA. The relative abundance of chitinolysis in Mac in KA (0.46%) was significantly higher than that in SC (0.39%). The results showed that the soil environment in KA can improve the stability of the aggregates, and the bacterial community structure, key groups, and functional groups in the three particle size aggregates in KA were significantly different from those in NKA.

Organ-specific metastatic landscape dissects PD-(L)1 blockade efficacy in advanced non-small cell lung cancer: applicability from clinical trials to real-world practice.

BACKGROUND: Organ-specific metastatic context has not been incorporated into the clinical practice of guiding programmed death-(ligand) 1 [PD-(L)1] blockade, due to a lack of understanding of its predictive versus prognostic value. We aim at delineating and then incorporating both the predictive and prognostic effects of the metastatic-organ landscape to dissect PD-(L)1 blockade efficacy in non-small cell lung cancer (NSCLC). METHODS: A total of 2062 NSCLC patients from a double-arm randomized trial (OAK), two immunotherapy trials (FIR, BIRCH), and a real-world cohort (NFyy) were included. The metastatic organs were stratified into two categories based on their treatment-dependent predictive significance versus treatment-independent prognosis. A metastasis-based scoring system (METscore) was developed and validated for guiding PD-(L)1 blockade in clinical trials and real-world practice. RESULTS: Patients harboring various organ-specific metastases presented significantly different responses to immunotherapy, and those with brain and adrenal gland metastases survived longer than others [overall survival (OS), p = 0.0105; progression-free survival (PFS), p = 0.0167]. In contrast, survival outcomes were similar in chemotherapy-treated patients regardless of metastatic sites (OS, p = 0.3742; PFS, p = 0.8242). Intriguingly, the immunotherapeutic predictive significance of the metastatic-organ landscape was specifically presented in PD-L1-positive populations (PD-L1 > 1%). Among them, a paradoxical coexistence of a favorable predictive effect coupled with an unfavorable prognostic effect was observed in metastases to adrenal glands, brain, and liver (category I organs), whereas metastases to bone, pleura, pleural effusion, and mediastinum yielded consistent unfavorable predictive and prognostic effects (category II organs). METscore was capable of integrating both predictive and prognostic effects of the entire landscape and dissected OS outcome of NSCLC patients received PD-(L)1 blockade (p < 0.0001) but not chemotherapy (p = 0.0805) in the OAK training cohort. Meanwhile, general performance of METscore was first validated in FIR (p = 0.0350) and BIRCH (p < 0.0001), and then in the real-world NFyy cohort (p = 0.0181). Notably, METscore was also applicable to patients received PD-(L)1 blockade as first-line treatment both in the clinical trials (OS, p = 0.0087; PFS, p = 0.0290) and in the real-world practice (OS, p = 0.0182; PFS, p = 0.0045). CONCLUSIONS: Organ-specific metastatic landscape served as a potential predictor of immunotherapy, and METscore might enable noninvasive forecast of PD-(L)1 blockade efficacy using baseline radiologic assessments in advanced NSCLC.

[Investigation of Soil Fungal Communities and Functionalities within Karst Paddy Fields].

Fungi are important drivers of soil biogeochemical cycles. However, the characteristics of fungal community structures and functional groups within karst area (KA) soils remain understudied. Top soil samples were collected from paddy fields within a KA and non-karst area (NKA) containing red soil, in the Maocun karst experimental site of Guilin. The fungal community structure was analyzed via high-throughput sequencing, and FUNGuild was used to predict the function of fungi. The average relative abundance of Mucormycota in KA was 4.87%, which was significantly lower than that in NKA (29.92%); The average relative abundance of Mortierellomycetes in KA was 3.36%, which was significantly lower than that in NKA (29.15%). However, in KA, the average relative abundances of Glomeromycetes, Chytridiomycetes, and Exobasidiomycetes were 0.91%, 0.98%, and 0.23%, respectively, significantly higher than those in NKA (0.47%, 0.28%, and 0.04%). In KA, the average relative abundances of Ramophialophora and Emericellopsis were 2.39% and 1.25%, respectively, significantly higher than those in NKA (0.05% and 0.09%). However, the average relative abundance of Mortierella was 3.04% in KA, which was lower than that in NKA (28.34%). KA contained 32 dominant OTUs, including OTU141, 99, and 192. There was more connectivity between OTU69 (Emericellopsis terricola) and OTU138 (Westerdykella globosa) with the cation exchange capacity (CEC), exchangeable Ca2+, and total phosphorus (TP) in the correlation network. In KA, the average abundances of symbiotroph and pathotroph-saprotroph fungi were 1.29% and 1.50%, respectively, significantly higher than those in NKA (0.08% and 0.09%). The average abundance of the saprotroph-symbiotroph fungi in KA was 10.81%, which was significantly lower than that in NKA (63.69%). In KA, dung saprotroph-wood saprotroph fungi were dominant, with an abundance of 9.73%, whereas in NKA, endophyte-litter saprotroph-soil saprotroph-undefined saprotroph fungi were dominant, with an abundance of 45.93%. The above results suggest that the soil factors of KA, such as CEC, exchangeable Ca2+, and TP, alter the structures and functions of fungi.

The clinical values of 64-slice computed tomography coronary angiography / 中华放射学杂志

Objective To evaluate the clinical values of(M-slice computed tomography coronary angiography(CTCA) in contrast to conventional coronary angiography(CCA).Methods Assessment of the major and minor branches of coronary arteries by 64-Slice CTCA,showed the information of 100 patients with 64-slice CTCA,comparing with CCA regarded as the golden standard recently implemented.Results Among the 100 patients,920 coronary arteries were evaluated with 370 lesions found.Of them ,348 lesions were consisted with CCA,22 lesions were falsely positive and 10 lesions were found by CCA not picked up by 64-slice CTCA.The sensitivity,specificity,positive predict values and negative predict values were 97.2% ,96%,94% and 98.1% respectively for the detection of coronary artery disease(CAD),Further statistical analysis using a 2-related X~2 test showed no obvious difference in the discovery of CAD between 64-slice CTCA and CCA.Comparing both imaging modalities,there was concordance in assessing lesion severity in 311 lesions,and accuracy approaches 86.8%.Conclusions 64-slice CTCA has excellent sensitivity and specificity in detecting CAD,and also can give fairly accurate assessment of stenosis severity in most patients as compared to CCA.As a alternative method it is a useful non-invasive for detecting coronary arteries disease in symptomatic patients