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ABSTRACTThe gut microbiota (GM) and its metabolites affect the host nervous system and are involved in the pathogeneses of various neurological diseases. However, the specific GM alterations under pathogenetic pressure and their contributions to the “microbiota – metabolite – brain axis” in Alzheimer’s disease (AD) remain unclear. Here, we investigated the GM and the fecal, serum, cortical metabolomes in APP/PS1 and wild-type (WT) mice, revealing distinct hub bacteria in AD mice within scale-free GM networks shared by both groups. Moreover, we identified diverse peripheral – central metabolic landscapes between AD and WT mice that featured bile acids (e.g. deoxycholic and isodeoxycholic acid) and unsaturated fatty acids (e.g. 11Z-eicosenoic and palmitoleic acid). Machine-learning models revealed the relationships between the differential/hub bacteria and these metabolic signatures from the periphery to the brain. Notably, AD-enriched Dubosiella affected AD occurrence via cortical palmitoleic acid and vice versa. Considering the transgenic background of the AD mice, we propose that Dubosiella enrichment impedes AD progression via the synthesis of palmitoleic acid, which has protective properties against inflammation and metabolic disorders. We identified another association involving fecal deoxycholic acid-mediated interactions between the AD hub bacteria Erysipelatoclostridium and AD occurrence, which was corroborated by the correlation between deoxycholate levels and cognitive scores in humans. Overall, this study elucidated the GM network alterations, contributions of the GM to peripheral – central metabolic landscapes, and mediatory roles of metabolites between the GM and AD occurrence, thus revealing the critical roles of bacteria in AD pathogenesis and gut – brain communications under pathogenetic pressure.

Tibetan antelopes (Pantholops hodgsonii) migrate great distances to specific delivery and calving areas. In the current study, we investigated calving site selection and vigilance behaviour during delivery and nursing in migratory female Tibetan antelopes at Zonag Lake. According to observations and analysis, the females were distributed south of Zonag Lake, where vegetation was abundant. We determined their dates of migration (crossing the Qinghai-Tibet Highway observation site), showing a shift of one month during the period from June in 2008 to May 2021. Results also showed that 81.4% of females expressed high vigilance behaviour during calving and nursing compared to those without calves (7.1%). From delivery until calf standing, females were highly vigilant and spent considerable time scanning, with 96% of females showing vigilance behaviour. Females with calves (average 9.94 ± 0.62 s) spent more time on vigilance behaviour than females without calves (average 6.25 ± 1.38 s). Females with newborns spent the greatest amount of time being vigilant (average 51.63 ± 4.24 s). These results not only identify basic Tibetan antelope calving behaviour, but also provide scientific analysis and evidence for further ethological research on female Tibetan antelopes.

ABSTRACTThe intimate association between the gut microbiota (GM) and the central nervous system points to potential intervention strategies for neurological diseases. Nevertheless, there is currently no theoretical framework for selecting the window period and target bacteria for GM interventions owing to the complexity of the gut microecosystem. In this study, we constructed a complex network-based modeling approach to evaluate the topological features of the GM and infer the window period and bacterial candidates for GM interventions. We used Alzheimer’s disease (AD) as an example and traced the GM dynamic changes in AD and wild-type mice at one, two, three, six, and nine months of age. The results revealed alterations of the topological features of the GM from a scale-free network into a random network during AD progression, indicating severe GM disequilibrium at the late stage of AD. Through stability and vulnerability assessments of the GM networks, we identified the third month after birth as the optimal window period for GM interventions in AD mice. Further computational simulations and robustness evaluations determined that the hub bacteria were potential candidates for GM interventions. Moreover, our GM functional analysis suggested that Lachnospiraceae UCG-001 – the hub and enriched bacterium in AD mice – was the keystone bacterium for GM interventions owing to its contributions to quinolinic acid synthesis. In conclusion, this study established a complex network-based modeling approach as a practical strategy for disease interventions from the perspective of the gut microecosystem.

ObjectiveTo study changes in the composition and functions of the gut microbiota (GM) in children with growth hormone deficiency (GHD) using high-throughput sequencing.MethodsThirty-three children with GHD diagnosed in Longgang District Maternity and Child Health Hospital were included in the disease group and 24 healthy children of the same age comprised the control group. Total DNA was extracted and amplified from stool samples obtained from all subjects. High-throughput sequencing was used to analyze the GM composition and functions.ResultsThe GM from the two groups of children showed significant differences in α-diversity (P

Biodiversity monitoring is an important means by which to evaluate management effectiveness and develop sound conservation plans. In this study, 52 cameras were installed in the study area of Tianzhushan to assess wildlife diversity and elevational patterns from 2018 to 2019. In total, 9 541 independent photos were collected within 26 565 camera-days. We analysed the relative abundance index (RAI), activity patterns and seasonal activity rhythms of the five most abundant species at 200-m elevational intervals throughout the study area (elevation range 1 400–2 000 m a.s.l.). Based on RAI results, the activity patterns of the five most abundant species (i.e. Sus scrofa, Naemorhedus griseus, Muntiacus reevesi, Arctonyx collaris and Capricornis milneedwardsii) were analysed. Amongst the detected wild mammals, Sus scrofa had the highest RAI value of 9.91, while the occurrence of Tamiops swinhoei had the lowest RAI at 0.004. In addition, there were significant differences in species activity during the daytime and night-time. RAI of the ungulate community peaked at the 1 600–1 800 m a.s.l. elevational range, thus showing a mid-elevational peak pattern. Differences in vertical distribution patterns were detected for the five most abundant species. Mainland serows and wild boars preferred mid-elevation habitats (1 600–1 800 m a.s.l.), long-tailed gorals preferred mid- and high altitudes (1 600–2 000 m a.s.l.) elevation habitats and Chinese muntjacs and hog badgers preferred low elevation habitats (1 400–1 600 m a.s.l.). Taken together, this is the first study to reveal the five dominant species activity patterns in Tianzhushan, which is of importance for wildlife conservation.

SARS-CoV-2 is a single-stranded RNA betacoronavirus with a high mutation rate. The rapidly emerging SARS-CoV-2 variants could increase transmissibility and diminish vaccine protection. However, whether coinfection with multiple SARS-CoV-2 variants exists remains controversial. This study collected 12,986 and 4,113 SARS-CoV-2 genomes from the GISAID database on May 11, 2020 (GISAID20May11), and Apr 1, 2021 (GISAID21Apr1), respectively. With single-nucleotide variant (SNV) and network clique analyses, we constructed single-nucleotide polymorphism (SNP) coexistence networks and discovered maximal SNP cliques of sizes 16 and 34 in the GISAID20May11 and GISAID21Apr1 datasets, respectively. Simulating the transmission routes and SNV accumulations, we discovered a linear relationship between the size of the maximal clique and the number of coinfected variants. We deduced that the COVID-19 cases in GISAID20May11 and GISAID21Apr1 were coinfections with 3.20 and 3.42 variants on average, respectively. Additionally, we performed Nanopore sequencing on 42 COVID-19 patients and discovered recurrent heterozygous SNPs in twenty of the patients, including loci 8,782 and 28,144, which were crucial for SARS-CoV-2 lineage divergence. In conclusion, our findings reported SARS-CoV-2 variants coinfection in COVID-19 patients and demonstrated the increasing number of coinfected variants.

Smoking is an essential risk factor for peri-implant diseases. It also hampers the clinical outcomes of peri-implant therapies. Nonetheless, the effect of smoking can go undetected until the emergence of clinical signs. Bacterial-induced inflammation is responsible for the initiation and progression of peri-implant diseases. We hypothesize that smoking impacts the peri-implant microbiome even in status of clinical health, putting it into a sub-healthy condition that responds poorly to peri-implant treatments. To validate this, peri-implant plaque samples from 18 participants including 10 smokers (S) and 8 non-smokers (NS), who had received implant prostheses were analyzed using metagenomic shotgun sequencing. The results showed that in addition to taxonomical and functional differences, the local stability in the S group was also shown to be much higher than that in the NS group, indicating greater stubbornness of the peri-implant microbiome associated with smoking. Besides, the topological structures were also distinct between the two groups. The highly connected species interacted more preferentially with each other in the S group (eigenvector centralization, 0.0273 in S and 0.0183 in NS), resulting in a greater tendency of forming small-world modules (modularity, 0.714 in S and 0.582 in NS). While in the NS group, inter-species correlations were more evenly distributed (clustering coefficient, 0.532 in S and 0.666 in NS). These alterations overall explained the greater stubbornness of the peri-implant microbiome associated with smoking, which may cause poor responsiveness to peri-implant therapies. From a microbial perspective, this may be a potential reason why smoking impacts negatively on the outcome of peri-implant treatments.

Sugarcane mosaic disease, mainly caused by Sugarcane streak mosaic virus (SCSMV), has serious adverse effects on the yield and quality of sugarcane. Eukaryotic translation initiation factor 4E (eIF4E) is a natural resistance gene in plants. The eIF4E-mediated natural recessive resistance results from non-synonymous mutations of the eIF4E protein. In this study, two sugarcane varieties, CP94-1100 and ROC22, were selected for analysis of their differences in resistance to SCSMV. Four-base missense mutations in the ORF region of eIF4E resulted in different conserved domains. Therefore, the differences in resistance to SCSMV are due to the inherent differences in eIF4E of the sugarcane varieties. The coding regions of eIF4E included 28 SNP loci and no InDel loci, which were affected by negative selection and were relatively conserved. A total of 11 haploids encoded 11 protein sequences. Prediction of the protein spatial structure revealed three non-synonymous mutation sites for amino acids located in the cap pocket of eIF4E; one of these sites existed only in a resistant material (Yuetang 55), whereas the other site existed only in a susceptible material (ROC22), suggesting that these two sites might be related to the resistance to SCSMV. The results provide a strong basis for further analysis of the functional role of eIF4E in regulating mosaic resistance in sugarcane.

Precocious puberty (PP) is one of the most common endocrine diseases in children, and the pathogenesis is currently unknown. Recent studies on the gut-brain axis have shown that there is a correlation between childhood endocrine diseases and the gut microbiota (GM). To explore the GM characteristics of children with different types of PP, we recruited 27 idiopathic central precocious puberty children (ICPP group), 18 peripheral precocious puberty children (PPP group), and 23 healthy children of the same age (HC group). Their stool samples were subjected to 16S rDNA sequencing. In this study, we found that the OTUs numbers, the annotated genera, and α-diversity of GM of the ICPP and PPP group were all significantly higher than that in the HC group (P

Periodontitis and peri-implantitis are common biofilm-mediated infectious diseases affecting teeth and dental implants and have been considered to be initiated with microbial dysbiosis. To further understand the essence of oral microbiome dysbiosis in terms of bacterial interactions, community structure, and microbial stability, we analyzed 64 plaque samples from 34 participants with teeth or implants under different health conditions using metagenomic sequencing. After taxonomical annotation, we computed the inter-species correlations, analyzed the bacterial community structure, and calculated the microbial stability in supra- and subgingival plaques from hosts with different health conditions. The results showed that when inflammation arose, the subgingival communities became less connective and competitive with fewer hub species. In contrast, the supragingival communities tended to be more connective and competitive with an increased number of hub species. Besides, periodontitis and peri-implantitis were associated with significantly increased microbial stability in subgingival microbiome. These findings indicated that the periodontal and peri-implant dysbiosis is associated with aberrant alterations in the bacterial correlations, community structures, and local stability. The highly connected hub species, as well as the major contributing species of negative correlations, should also be given more concern in future studies.

Background: Atopic dermatitis (AD) is a common cutaneous disease, associated with imbalances in the skin microbiota.Objective: To explore the characteristics of the cutaneous microbiota and its dynamic changes during clinical treatment.Methods: Cutaneous swab samples were collected from 51 AD patients before treatment, and 40 AD patients remained after a 2-week treatment with mometasone and mupirocin.Results: AD patients exhibited significant enrichments of Prevotella and Desulfovibrio as well as obvious reductions of Corynebacterium, Streptococcus and Parabacteroides. Based on the proportion of Staphylococcus aureus, the AD patients were further classified into S. aureus-predominant group (AD.S) and S. aureus-non-dominant (AD.ND) group. The AD.S group exhibited lower skin microbial diversity and higher atopic dermatitis (SCORAD) index. In the AD.S group, the cutaneous microbial diversity significantly increased from 2.9 ± 0.8 to 3.7 ± 1.0, while the relative abundance of S. aureus decreased from 42.5 ± 20.7 to 10.3 ± 28.4 after treatment. In contrast, no significant skin microbiota changes were detected in the AD.ND group.Conclusions: AD patients with predominant S. aureus had higher disease severity and lower microbiota diversity compared to patients in the AD.ND group. Mometasone and mupirocin therapy had significant effects on skin microbiota in AD.S patients, but had a paradoxical response in the AD.ND patients.

COVID-19, an emerging infectious disease, has quickly spread all over the world. All human populations are susceptible to this disease. Here we present two pediatric COVID-19 cases, both of whom exhibited negative SARS-CoV-2 nucleic acid tests upon nasopharyngeal swab and were initially diagnosed with influenza A infection. COVID-19 was later confirmed in both patients by serum antibodies of SARS-CoV-2 and nucleic acid test on stool samples. Because children are susceptible to many respiratory pathogens, especially influenza, we concluded that children can be coinfected with multiple pathogens, and more attention should be paid to the exploration of SARS-CoV-2 during the pandemic of COVID-19. This report shows the possibility of misdiagnosis or missed diagnosis of children with COVID-19. We suggest that highly suspected pediatric COVID-19 cases with negative nucleic acid tests on nasopharyngeal swabs should be further checked by performing a nucleic acid test on stool samples and testing serum for antibodies against SARS-CoV-2.

Idiopathic central precocious puberty (ICPP) is a relatively common condition in preadolescent girls, and its pathogenesis remains to be uncovered. A variety of studies have highlighted the association of gut microbiota (GM) with endocrine diseases, such as obesity, which is commonly associated with ICPP. However, the relationship between GM and ICPP remains unexplored. Feces samples were collected from 25 girls with ICPP (ICPP group) and 23 healthy girls (Control group). We applied 16S rDNA sequencing to compare the GM between two groups. The ICPP group had higher GM diversity and was enriched for several GM species, including Ruminococcus gnavus, Ruminococcus callidus, Ruminococcus bromii, Roseburia inulinivorans, Coprococcus eutactus, Clostridium leptum, and Clostridium lactatifermentans, which are known to be associated with obesity and are related to the production of short-chain fatty acids. Additionally, 36 candidate GM biomarkers for patients with ICPP screening were identified with high accuracy (AUC = 0.95, 95% CI 0.88 to 1). We observed that the GM of the ICPP group was enriched for the microbial functions of cell motility, signal transduction, and environmental adaptation. Positive correlations were also detected between Fusobacterium and follicle-stimulating hormone, and Gemmiger and luteinizing hormone. This study documents relationships between GM and ICPP, and the implication of these findings remains to be determined.

Undernutrition (UN) is a worldwide concern affecting morbidity and mortality among children, but the safety and long-term efficacy of its current treatments remain controversial. Recent evidence showing the roles of the gut microbiome (GM) in nutrient absorption indicates its usefulness in alternative interventions to treat UN safely with sustainable amelioration. To enhance our understanding of the GM and childhood undernutrition, we deep sequenced the gut metagenomes of 65 children with moderate or severe undernutrition (UN group) and 61 healthy children (HC group) to identify associated taxa and genes using a two-stage validation scheme. At stage I, 54 UN patients and 51 healthy children were enrolled for the discovery of GM markers in UN children. The accuracy of the markers was then tested in an additional 11 UN patients and 10 healthy children at stage II. Compared to the HC group, the UN group had lower richness in microbial genes (P = 0.005, FDR = 0.005) and species (P = 0.002, FDR = 0.002). The distributions of bacterial genes enable the identification of 16 gene markers with which to discriminate UN patients with high accuracy [averaged areas under the receiver operating curve (AUC) = 0.87], including three Bacteroides uniformis genes that are responsible for the synthesis of iron transporters. We also identified four species markers that enable the UN patients to be confidently discriminated from the HC children (averaged AUC = 0.91), namely Bacteroides ovatus, Bacteroides uniformis, Bacteroides uniformis, and Bacteroides vulgatus. In addition, metabolic comparison showed significantly decreased isobutyric acid (P = 0.005, FDR = 0.017) and increased isovaleric acid (P = 0.006, FDR = 0.017) in UN patients. We also identified notable correlations between microbial species and short-chain fatty acids (SCFAs) and several nutritional indicators, including acetic acid and iron (r = 0.436, P = 0.029), butyric acid and iron (r = 0.422, P = 0.036), butyric acid and lymphocyte (r = −0.309, P = 0.011), and acetic acid and total protein (r = −0.303, P = 0.043). Taken together, the distinct features of gut microbiota in UN patients highlight the taxonomic and functional shift during the development of UN and provide a solid theoretical basis for intervention in childhood undernutrition through gut microbes.

Cerebral palsy (CP) and epilepsy are two interactive neurological diseases, and their clinical treatment can cause severe side-effects in children's development, especially when it involves long-term administration of antiepileptic drugs. Accumulating studies on the gut-brain axis indicated that the gut microbiota (GM), which participates in various neurological diseases, would provide a harmless therapeutic target for the treatment of CP and epilepsy. To explore the GM characteristics in children with both CP and epilepsy (CPE), we collected fecal samples from 25 CPE patients (CPE group) and 21 healthy children (Healthy group) for 16S rDNA sequencing. In this study, we discovered significantly higher microbial diversity in the CPE group compared to healthy group (P < 0.001). After selecting the top 15 most abundant genera in each group, we found significantly enriched Bifidobacterium, Streptococcus, Akkermansia, Enterococcus, Prevotella, Veillonella, Rothia, and Clostridium IV in the CPE group, and noticeably reduced Bacteroides, Faecalibacterium, Blautia, Ruminococcus, Roseburia, Anaerostipes, and Parasutterella. A GM co-occurrence network was also constructed, and negative correlations were discovered between Bacteroides and Lactobacillus (r = −0.768, P < 0.001, FDR < 0.001), as well as Intestinibacter and Bifidobacterium (r = −0.726, P < 0.001, FDR < 0.001). After KEGG annotation and functional enrichment, 24 functional categories exhibited different enrichment levels between the CPE and Healthy groups. The functions, associated with xenobiotics metabolism, immune system diseases, and neurodegenerative diseases, were enriched in the CPE group. Conversely, the functional categories related to the biosynthesis of secondary metabolites were reduced. Furthermore, the neurodegenerative diseases were mainly attributed to Streptococcus, while an increased risk of immune system diseases was associated with enriched Akkermansia in the CPE patients. Generally, this study characterized the GM in CPE patients, illustrated the microbial co-occurrence relationships, and detected the functional distributions of the bacteria.

Community-acquired pneumonia (CAP) is a worldwide infectious disease caused by bacteria, viruses, or a combination of these infectious agents. Mycoplasma pneumoniae is an atypical pneumonia pathogen that causes high morbidity and mortality in children, and adenovirus can lead to severe pneumonia. However, the etiology of different types of pneumonia is still unclear. In this study, we selected a total of 52 inpatients with M. pneumoniae pneumonia (MPP) (n = 21), adenovirus pneumonia (AVP) (n = 16), or tracheomalacia (n = 15) to serve as a disease control. Bronchoalveolar lavage fluid (BALF) samples that had been obtained for clinical use were analyzed. We compared the differences in microbiota and the expression of 10 inflammatory cytokines in samples between MPP, AVP, and tracheomalacia. We found that the bacterial diversity in MPP was lower than that in AVP and tracheomalacia. Mycoplasma, Streptococcus, and Pseudomonas were predominant in samples of MPP, AVP, and tracheomalacia, respectively. The expression levels of IL-6, IL-8, and IL-10 were significantly higher in inpatients with AVP compared to children hospitalized with tracheomalacia or MPP. The lung microbiota in MPP was remarkably correlated with IL-2, IL-4, IL-5, IL-6, TNF-α, and IL-1α expressions, while this was not found in tracheomalacia and AVP. Microbiota analysis identified a high load of multi-drug resistant Acinetobacter baumannii in the lung microbiota of several inpatients, which might be associated with the long hospitalization length and intra-group differences at the individual level. This study will help to understand the microbial etiology of tracheomalacia, AVP, and MPP and to identify effective therapies for these diseases.

Cholestasis is a major hepatic disease in infants, with increasing morbidity in recent years. Accumulating evidence has revealed that the gut microbiota (GM) is associated with liver diseases, such as non-alcoholic steatohepatitis, cirrhosis, and hepatocellular carcinoma. However, GM alterations in cholestatic infants and the correlation between the GM and hepatic functions remain uninvestigated. In this study, 43 cholestatic infants (IC group) and 37 healthy infants (H group) were enrolled to detect GM discrepancies using 16S rDNA analysis. The diversity in the bacterial community was significantly lower in the IC group than that in the H group (P = 0.013). After determining the top 10 abundant genera of microbes in the IC and H groups, we found that 13 of them were differentially enriched, including Bifidobacterium, Bacteroides, Streptococcus, Enterococcus, and Staphylococcus. As compared with the H group, the IC group had a more complex GM co-occurrence network featured by three core nodes: Phyllobacterium, Ruminococcus, and Anaerostipes. In addition, the positive correlation between Faecalibacterium and Erysipelatoclostridium (r = 0.689, P = 0.000, FDR = 0.009) was not observed in the IC patients. Using the GM composition, the cholestatic patients can be distinguished from healthy infants with high accuracy [areas under receiver operating curve (AUC) > 0.97], wherein Rothia, Eggerthella, Phyllobacterium, and Blautia are identified as valuable biomarkers. Using KEGG annotation, we identified 32 functional categories with significant difference in enrichment of the GM of IC patients, including IC-enriched functional categories that were related to lipid metabolism, biodegradation and metabolism of xenobiotics, and various diseases. In contrast, the number of functions associated with amino acid metabolism, nucleotide metabolism, and vitamins metabolism was reduced in the IC patients. We also identified significant correlation between GM composition and indicators of hepatic function. Megasphaera positively correlated with total bilirubin (r = 0.455, P = 0.002) and direct bilirubin (r = 0.441, P = 0.003), whereas γ-glutamyl transpeptidase was positively associated with Parasutterella (r = 0.466, P = 0.002) and negatively related to Streptococcus (r = -0.450, P = 0.003). This study describes the GM characteristics in the cholestatic infants, illustrates the association between the GM components and the hepatic function, and provides a solid theoretical basis for GM intervention for the treatment of infantile cholestasis.

[Objectives] This study was conducted to clarify the outbreak and disaster characteristics of Sesamia inferens Walker and smut in cane-growing regions in the low-latitude plateau of Yunnan Province, where there is continuous high temperature and drought in spring and summer. [Methods] A systematic investigation and analysis was conducted on different varieties in different types of fields in 16 cane-growing regions with outbreak of S. inferens and smut in Yunnan from 2019 to 2021. [Results] The outbreak of S. inferens and smut in cane-growing regions in the low-latitude plateau of Yunnan Province resulted in an average percent of dry hearts in the range of 17.3% -56.3%, and as high as 84.0% in severe cases. 70% thiamethoxam seed treatment dispersible powder and clothianidin or thi-amethoxam fertilizer granules were ineffective against S. inferens, while 10% monosultap • thiamethoxam or 10% clothianidin • monosultap granules had a significant control efficacy on S. inferens. The average diseased plant rate ranged from 14.8% to 89.7% in susceptible varieties with smut, and was as high as 100% in severe cases. ROC 1, Yuetang 93-159, Yuetang 00-236, and Liucheng 05-136 had strong resistance, with an average diseased plant rate of 0 -5.5% and the highest rate of 7.6%. S. inferens and smut both broke out in cane-growing regions with an altitude below 1 200 m. It is recommended to pay attention to disease and pest monitoring in cane-growing regions with an altitude below 1 200 m, and combine it with the management of new plants and ratoon plants to effectively prevent and control the first and second generation of S. inferens-infested seedlings from March to May. It is also recommended to strengthen the promotion and application of excellent disease-resistant varieties, so as to achieve a reasonable distribution of varieties and fundamentally control the outbreak and epidemic of sugarcane smut. [Conclusions] This study provides a basis for the effective prevention and control of catastrophic S. inferens and smut caused by extreme climate. [ABSTRACT FROM AUTHOR]

[Objectives] This study was conducted to screen high-efficiency formula pesticides and precise and efficient application techniques for the prevention and control of Sesamia inferens Walker and Ceratovacuna lanigera Zehntner. [Methods] Field efficacy trials were conducted using different combinations of 70% directed enhanced thiamethoxam seed treatment dispersible powder and 46% monosultap • Bacillus thuringiensis wettable powder. [Results] 70% directed enhanced thiamethoxam ZF 450 g/hm2 +46% monosultap - B. thuringiensis WP2 250 g/hm2 had good control effects on both S. inferens and C. lanigera, so it was an ideal high-efficiency formula pesticide for controlling sugarcane S. inferens and C. lanigera. From January to May, combining with new plant or perennial root cultivation management, 70% directed enhanced thiamethoxam ZF 450 g/hm2 can be evenly spread on sugarcane ditches and sugarcane stumps after being well mixed with fertilizers applied per hectare, and covered with soil in a timely manner, and during the peak incubation period of the first and second generation of S. inferens eggs from March to May, 46% monosultap • B. thuringiensis WP 2 250 g/hm2 was sprayed to the leaf surface in the mixture with water 675 kg with an electric backpack or a motorized sprayer. In such a way, the control efficacy on dead heart seedlings could reach over 89.8%, and that on C. lanigera could reach 100%. Meanwhile, it could effectively and concurrently control thrips, and the increases in yield and sugar content could reach 29 310 kg/hm2 and 5.9 percentage points, respectively. [Conclusions] The promotion and application of the formula pesticide could achieve precise application and control of sugarcane pests, and improvement of sugarcane quality and planting efficiency, and help promote green prevention and control of sugarcane diseases and pests and the sustained high-quality development of the sugar industry. [ABSTRACT FROM AUTHOR]

[Objectives]This study was conducted to establish simple, efficient, stable, standardized and practical identification methods for sugarcane resistance to white leaf disease (SCWL), and promote the breeding for sugarcane resistance to SCWL. [Methods] The identification technology of sugarcane resistance to SCWL was systematically studied and explored from the aspects of sugarcane material treatment and planting, inoculation liquid preparation, inoculation method, disease investigation, grading standard formulation, etc., and two sets of simple, efficient, stable, standardized and practical accurate identification methods for sugarcane resistance to SCWL were created for the first time, namely, the seed cane coating inoculation method and the stem-cutting inoculation method at the growth stage. The seed cane coating inoculation method includes the steps of directly screening SCWL phytoplasma, extracting juice from cane and adding 10 times of sterile water to prepare an inoculation liquid, spraying seed cane on plastic film to keep moisture, planting the inoculated materials in barrels in an insect-proof greenhouse for cultivation, investigating the incidence rate 30 d after inoculation, and evaluating the disease resistance according to the 1 -5 level standard. The method of stem-cutting inoculation includes the steps of directly screening sugarcane stems carrying SCWL phytoplasma and adding 10 times of sterile water to prepare an inoculation liquid, cultivating the identification materials in an insect-proof greenhouse, dropping 100 pj of the inoculation liquid into each root incision with a pipette gun at the age of 6 months, investigating the incidence rate 20 d after planting, and evaluating the disease resistance according to the 1-5 level standard. [Results] The two methods are similar to the natural transmission method. After inoculation, SCML occurred significantly, with high sensitivity and good reproducibility. The results of resistance identification were consistent with those of natural disease in the field. Through the two inoculation methods and field natural disease investigation, the resistance of 10 main cultivars to SCML was identified, which was true and reliable. [Conclusions] This study can provide standard varieties for identification of SCML resistance in the future. [ABSTRACT FROM AUTHOR]

Smoking is an essential risk factor for peri-implant diseases. It also hampers the clinical outcomes of peri-implant therapies. Nonetheless, the effect of smoking can go undetected until the emergence of clinical signs. Bacterial-induced inflammation is responsible for the initiation and progression of peri-implant diseases. We hypothesize that smoking impacts the peri-implant microbiome even in status of clinical health, putting it into a sub-healthy condition that responds poorly to peri-implant treatments. To validate this, peri-implant plaque samples from 18 participants including 10 smokers (S) and 8 nonsmokers (NS), who had received implant prostheses were analyzed using metagenomic shotgun sequencing. The results showed that in addition to taxonomical and functional differences, the local stability in the S group was also shown to be much higher than that in the NS group, indicating greater stubbornness of the peri-implant microbiome associated with smoking. Besides, the topological structures were also distinct between the two groups. The highly connected species interacted more preferentially with each other in the S group (eigenvector centralization, 0.0273 in S and 0.0183 in NS), resulting in a greater tendency of forming small-world modules (modularity, 0.714 in S and 0.582 in NS). While in the NS group, inter-species correlations were more evenly distributed (clustering coefficient, 0.532 in S and 0.666 in NS). These alterations overall explained the greater stubbornness of the peri-implant microbiome associated with smoking, which may cause poor responsiveness to peri-implant therapies. From a microbial perspective, this may be a potential reason why smoking impacts negatively on the outcome of peri-implant treatments. [ABSTRACT FROM AUTHOR]

[Objectives] This study was conducted to determine the pathogen species and dominant species of sugarcane pokkah boeng in the sugarcane areas of Yunnan in the low-latitude plateau, so as to provide a basis for the pathogenic mechanism, disease resistance breeding and scientific prevention and control of pokkah boeng. [Methods] With 14 pokkah boeng samples collected from different sugarcane areas in Yunnan as materials, pokkah boeng-specific detection primers Fv-F4/Fv-R4 and Fp-F3/Fp-R3 were designed based on ribosomal DNA non-transcribed spacer (rDNA-ITS) sequences, respectively, and used to perform PCR on Fusarium, verticillioides and F. proliferatum. [Results] In 12 of the 14 pokkah boeng samples, two species of pokkah boeng pathogens were detected, and there was a phenomenon of composite infection. Seven composite infection samples were selected for sequence alignment and phylogenetic analysis. The sequences of F. verticillioides (GenBank accession number; MZ126549-MZ126555) and F. proliferatum (GenBank accession number; MZ102259-MZ102265) from seven composite infection samples shared 98.6% -100% and 100% with F. verticillioides strain 20 (GenBank accession number; KU508286) and F. proliferatum Dehong strain (GenBank accession number; KJ629482) published in GenBank, respectively. The phylogenetic tree showed that the pathogens of sugarcane pokkah boeng in Yunnan were mainly divided into the F. 'verticillioides group and F. proliferatum group. In the F. 'verticillioides group, except for ROC 25 (Lancang, Yunnan) and Funong 10-1405 (Maitreya, Yunnan) which were on an independent branch, the remaining five composite infection samples were grouped with F. verticillioides strains from different geographical origins, and were closely related to F. oxysporum Guangxi strain. All strains of F. proliferatum from different geographic origins were clustered into another group. [Conclusions] This study provides a scientific basis for disease resistance breeding and disease prevention and control of sugarcane pokkah boeng. [ABSTRACT FROM AUTHOR]

[Objectives] This study was conducted te screen high-efficienca compound formulations and precise application technologies Sor the preventon and con-trot of sugarcane brown stripe disease. [Methodt] Carbendazim, benomyl, chlorothalonil, azoxystrobin, pyracloseobine and difenoconazole * azoxystrobin were selected for field efficacy tests. [ResulU] Three formulations, (50% carbendazimWP 1 500 g+75% chlorothfonii WP 1 500 g + potassiumdihydrogen phosphate 2 400 g + agnculturai synergist 300 mt)/hm², (50% benomyl WP 1 500 g + 75% chlorothalonil WP 1 500 g + potassium dihydrogen phosphate 2 400 g + agricultue-ai synergist 300 mt)/hm² and (25% pyraclostrobin 600 mi + potassium dihydrogen phosphate 2 400 g + agriculturai synergist 300 mt)/hm² had good controi effecis on sugarcane brown stripe disease, and showed disease index below 14. 02 and control efficaca above 84.41%. The three formulations arc idd high-efficienca compound formulations for ihc prevention and coneO oo sugarcane brown stripe disease. They can be sprayed manually and by unmanned aeriai vehicles on the foliai surfacc from July te August, oncc every 7 te 10 d, continuously for 2 times. [Conclusion] This study provides new technicf support for accurate and efficient prevention and controi of sugarcane brown stipe disease. [ABSTRACT FROM AUTHOR]

This study was conducted to clarify the species, occurrence and distribution characteristics of sugarcane rust pathogens in low-latitude plateau sugarcane rust areas of Yunnan Province and the phylogenetic relationship between the pathogens and that between them and other rust fungi of the genus Puccinia. [Methods] Fifty seven sugarcane rust samples collected from the sugarcane areas of Baoshan, Llncang, Menghai, Menglian, Ximeng, Lancang and Wenshan in Yunnan were subjected to molecular identification. [Results] The four sugarcane rust samples from Haiyinl hao in Menghai, Yunnan Province belonged to orange rust of sugarcane, and the pathogen was Puccinia kuehnii Butler. ; and other 53 samples of sugarcane rust belonged to brown rust of sugarcane, and the pathogen was Puccinia melaCephala Syd. et P. Syd. The rDNA sequences of other rust fungi from the genus Puccinia were downloaded from GenBank and used for the construction of an NJ tree for systematic evolution analysis together with the sequences obtained in this study. The results showed that the four P. kuehnii sequences obtained in this study were clustered with Puccinia polysora ( GenBank accession number; GU058024 ) into one group, and they were close genetically; the 53 P. melanocephala sequences were clustered with P. nakanishikii (GenBank accession number: GU058002 ), P. rufipes (GenBank accession number; AJ296545 ), Aecidium deutziae (GenBank accession number:KU309317) and P.coronata ( GenBank accession number: DQ354526 ) into one group, and they had a close genetic relationship; and the genetic relationship of the two species of sugarcane rust fungi identified in this study was relatively distant. [Conclusions ] This study provides a scientific basis for sugarcane rust epidemic prediction, disease resistance breeding, and precise prevention and control. [ABSTRACT FROM AUTHOR]