ABSTRACT
Background: The beet armyworm, Spodoptera exigua (Hübner), is an important agricultural pest worldwide that has caused serious economic losses in the main crop-producing areas of China. To effectively monitor and control this pest, it is crucial to investigate its population dynamics and seasonal migration patterns in northern China. Methods: In this study, we monitored the population dynamics of S. exigua using sex pheromone traps in Shenyang, Liaoning Province from 2012 to 2022, combining these data with amigration trajectory simulation approach and synoptic weather analysis. Results: There were significant interannual and seasonal variations in the capture number of S. exigua, and the total number of S. exigua exceeded 2,000 individuals in 2018 and 2020. The highest and lowest numbers of S. exigua were trapped in September and May, accounting for 34.65% ± 6.81% and 0.11% ± 0.04% of the annual totals, respectively. The average occurrence period was 140.9 ± 9.34 days during 2012-2022. In addition, the biomass of S. exigua also increased significantly during these years. The simulated seasonal migration trajectories also revealed varying source regions in different months, primarily originated from Northeast China and East China. These unique insights into the migration patterns of S. exigua will contribute to a deeper understanding of its occurrence in northern China and provide a theoretical basis for regional monitoring, early warning, and the development of effective management strategies for long-range migratory pests.
Subject(s)
Agriculture , Humans , Animals , Spodoptera , Seasons , Population Dynamics , China/epidemiologyABSTRACT
BACKGROUND: The sterile insect technique (SIT) has proven to be an effective approach in managing the population of major invasive pests. Our previous studies showed that irradiation of Cydia pomonella males at a dosage of 366 Gy X-rays resulted in complete sterility. However, the mating competitiveness of sterilized males is significantly compromised, which can be attributed to a decline in their ability to fly. RESULTS: In this study, we examined the flight patterns of both male and female adults of C. pomonella. The results revealed significant variations in the average flight speed of both genders at different stages of maturity, with females displaying longer flight duration and covering greater distances. Effect of irradiation on the flight performance of 3-day-old male moths was further evaluated, as they demonstrated the longest flight distance. The findings indicated a significant decrease in flight distance, duration, and average speed, due to wing deformities caused by irradiation, which also limited the dispersal distance of moths in orchards, as indicated by the mark-and-recapture assay. Reverse-transcription quantitative polymerase chain reaction analysis revealed a down-regulation of flight-related genes such as Flightin, myosin heavy chain, and Distal-less following radiation exposure. CONCLUSION: These findings demonstrate that X-ray irradiation at a radiation dose of 366 Gy has a detrimental effect on the flight ability of male C. pomonella adults. These insights not only contribute to a better understanding of how radiation sterilization diminishes the mating competitiveness of male moths, but also aid in the development and improvement of SIT practices for the effective control of C. pomonella. © 2023 Society of Chemical Industry.
Subject(s)
Infertility , Moths , Animals , Female , Male , X-RaysABSTRACT
c-Jun N-terminal kinase (JNK) phosphorylation is widely observed during virus infection, modulating various aspects of the virus-host interaction. In our previous research, we have proved that B. mori ferritin heavy-chain homolog (BmFerHCH), an inhibitor of reactive oxygen species (ROS), facilitates B. mori nucleopolyhedrovirus (BmNPV) proliferation. However, one question remains: Which downstream signaling pathways does BmFerHCH regulate by inhibiting ROS? Here, we first determined that silencing BmFerHCH inhibits BmNPV proliferation, and this inhibition depends on ROS. Then, we substantiated that BmNPV infection activates the JNK signaling pathway. Interestingly, the JNK phosphorylation during BmNPV infection is activated by ROS. Further, we found that the enhanced nuclear translocation of phospho-JNK induced by BmNPV infection was dramatically reduced by pretreatment with the antioxidant N-acetylcysteine (NAC), whereas there was more detectable phospho-JNK in the cytoplasm. Next, we investigated how changes in BmFerHCH expression affect JNK phosphorylation. BmFerHCH overexpression suppressed the phosphorylation of JNK and nuclear translocation of phospho-JNK during BmNPV infection, whereas BmFerHCH knockdown facilitated phosphorylation of JNK and nuclear translocation of phospho-JNK. By measuring the viral load, we found the inhibitory effect of BmFerHCH knockdown on BmNPV infection depends on phosphorylated JNK. In addition, the JNK signaling pathway was involved in BmNPV-triggered apoptosis. Hence, we hypothesize that ROS-mediated JNK phosphorylation is involved in the regulation of BmFerHCH on BmNPV proliferation. These results elucidate the molecular mechanisms and signaling pathways of BmFerHCH-mediated response to BmNPV infection.
Subject(s)
Bombyx , Nucleopolyhedroviruses , Animals , Phosphorylation , Nucleopolyhedroviruses/physiology , Reactive Oxygen Species/metabolism , Apoferritins/metabolism , MAP Kinase Signaling System , Cell Proliferation , Bombyx/metabolism , Insect Proteins/metabolismABSTRACT
Strobilanthes tonkinensis Lindau is a member of the family Acanthaceae, which was originated from Yunnan province of China and is used as tea and health promotion. Here, we reported the complete chloroplast genome sequence of S. tonkinensis using Illumina high-throughput sequencing approach. The size of the chloroplast genome is 144,765 bp in length, containing a pair of inverted repeats (IRs, 17,362 bp) that are separated by the large single-copy (LSC, 92,248 bp), and small single-copy (SSC, 17,793 bp) regions. A total of 129 genes were identified, including 37 tRNA genes, 8 rRNA genes, and 84 protein-coding genes. The overall GC content is 38.21%. Phylogenetic analysis indicated that S. tonkinensis is closely related to Strobilanthes cusia and Strobilanthes bantonensis.
ABSTRACT
The rice stem borer (RSB), Chilo suppressalis (Lepidoptera: Pyralidae), is an important agricultural pest that has caused serious economic losses in the major rice-producing areas of China. To effectively control this pest, we investigated the genetic diversity, genetic differentiation and genetic structure of 16 overwintering populations in the typical bivoltine areas of northern China based on 12 nuclear microsatellite loci. Moderate levels of genetic diversity and genetic differentiation among the studied populations were detected. Neighbour-joining dendrograms, Bayesian clustering and principal coordinate analysis (PCoA) consistently divided these populations into three genetic clades: western, eastern and northern/central. Isolation by distance (IBD) and spatial autocorrelation analyses demonstrated no correlation between genetic distance and geographic distance. Bottleneck analysis illustrated that RSB populations had not undergone severe bottleneck effects in these regions. Accordingly, our results provide new insights into the genetic relationships of overwintering RSB populations and thus contribute to developing effective management strategies for this pest.
Subject(s)
Genome, Insect , Lepidoptera/genetics , Polymorphism, Genetic , Animals , Ecosystem , Genetic Speciation , Lepidoptera/pathogenicity , Microsatellite Repeats , Oryza/parasitologyABSTRACT
The small brown planthopper (SBPH), Laodelphax striatellus Fallén (Hemiptera: Delphacidae), is a crucial devastating rice pest in East Asia. To effectively control this pest, we investigate the genetic diversity, genetic differentiation and genetic structure of 49 populations in China based on a 596 bp fragment of the mitochondrial DNA cytochrome c oxidase subunit I (mtDNA COI) gene. Overall, 83 haplotypes were detected in 1253 mtDNA COI sequences. High levels of genetic variability (Hd = 0.756 ± 0.009, π = 0.00416 ± 0.00011) and genetic differentiation (FST = 0.262, p < .001) were observed. Bayesian inference phylogenetic and median-joining haplotype network analyses indicated no obvious geographical distribution pattern among haplotypes. Hierarchical AMOVA and SAMOVA revealed no genetically distinct groups and lack of obvious phylogeographic structure. Isolation by distance (IBD) analysis results demonstrated no correlation between genetic differentiation and geographic distance. Finally, the demographic history of SBPH examined by neutrality tests and mismatch distribution analyses illustrated a sudden population expansion at the large spatial scale in China.
Subject(s)
DNA, Mitochondrial/genetics , Hemiptera/classification , Mitochondria/genetics , Sequence Analysis, DNA/methods , Animals , China , Genetic Variation , Genetics, Population , Haplotypes , Hemiptera/genetics , Pest Control , PhylogenyABSTRACT
The beet armyworm, Spodoptera exigua, is a significant agricultural pest of numerous crops and has caused serious economic losses in China. To effectively control this pest, we analyzed its genetic variation, population genetic structure and demographic history. We used mitochondrial DNA (mtDNA) fragments of the cytochrome oxidase subunit I (COI) and eight nuclear microsatellite loci to investigate genetic diversity and population genetic structure of S. exigua populations at 14 sampling sites in western China. Both mtDNA and microsatellite data indicated low levels of genetic diversity among all populations. A moderate genetic differentiation among some S. exigua populations was detected. Neighbor-joining dendrograms, STRUCTURE, and principal coordinate analysis (PCoA) revealed two genetically distinct groups: the KEL group and the remaining population group. Isolation by distance (IBD) results showed a weak significant correlation between geographic distance and genetic differentiation. Haplotype networks, neutrality testing, and mismatch distribution analysis indicated that the beet armyworm experienced a recent rapid expansion without a recent genetic bottleneck in western China. Thus, the results of this population genetic study can help with the development of strategies for managing this highly migratory pest.
Subject(s)
DNA, Mitochondrial/genetics , Genetic Variation , Microsatellite Repeats/genetics , Phylogeography , Spodoptera/classification , Spodoptera/genetics , Animal Migration/physiology , Animals , Bayes Theorem , China , Genetics, Population , Principal Component AnalysisABSTRACT
Traditional Chinese medicine(TCM) has been increasingly used in the prevention and treatment of obesity and obesity-related diseases. However, its mechanism of action is not yet clear. In recent years, with the development of high-throughput sequencing technology, scientific researches have found that the disorder of gut microbiota is associated with obesity and other diseases. Furthermore, it has been found that TCM can improve the structure of gut microbiota by increasing probiotics and reducing pathogens, which play an importent role in preventing the development and progression of obesity and other diseases. This article first explores the possible association between intestinal microbiota and obesity. Then, it reviews the traditional Chinese medicine and its role in regulating intestinal microbiota for the prevention and treatment of diseases, including obesity and inflammation, insulin resistance, type 2 diabetes, non-alcoholic fatty liver disease, inflammatory bowel disease and other diseases, in theexpectation of new strategies and research direction for treating obesity and relevant diseases, and providing important guidance for further studies in this field in the future.
Subject(s)
Gastrointestinal Microbiome , Medicine, Chinese Traditional , Obesity/therapy , Diabetes Mellitus, Type 2/therapy , Humans , Inflammation/therapy , Inflammatory Bowel Diseases/therapy , Insulin Resistance , Non-alcoholic Fatty Liver Disease/therapyABSTRACT
Aphis gossypii, one of the most important agricultural pests in the world, can cause serious economic losses in the main crop-producing areas. To clarify issues such as the genetic differentiation, genetic structure, and demographic history of A. gossypii populations, we used 10 nuclear microsatellite loci (SSR) and two mitochondrial gene sequences (COI and Cytb) to investigate genetic diversity and population structure of A. gossypii populations that were collected from 33 sampling sites in China from different climatic zones. SSR and mtDNA data suggested low to moderate levels of genetic diversity. A star-shaped network of mtDNA haplotypes indicated that the maternal ancestor of China cotton aphids likely originated in Xinjiang. The POPTREE, STRUCTURE and principal coordinate analysis (PCoA) revealed two genetic clusters: an eastern and a western region group. Isolation by distance (IBD) results showed a positive correlation between geographic distance and genetic distance in the vast eastern region but not in the western region. Neutrality testing and mismatch distribution analysis provided strong evidence for a recent rapid expansion in most populations. Genetic bottleneck was not detected in A. gossypii populations of China. The present work can help us to develop strategies for managing this pest.
Subject(s)
Aphids/classification , Aphids/genetics , DNA, Mitochondrial , Genetic Variation , Microsatellite Repeats , Phylogeny , Phylogeography , Animals , Bayes Theorem , China , Genetics, Population , HaplotypesABSTRACT
The soybean aphid Aphis glycines Matsumura (Hemiptera: Aphididae) is an important pest of soybean in China. To monitor and manage this pest effectively it is necessary to understand its population dynamics and demographics, as well as the physiological responses of soybean plants to its feeding. In this study, using field surveying and suction-trap monitoring, we investigated the population dynamics of the soybean aphid in Xiuyan County, Liaoning Province in northeastern China during 2009-2012. The results indicated that the population dynamics of the soybean aphid followed a unimodal curve distribution, with the insect generally colonizing soybean fields from the middle of June to early July and the population reaching a peak between early July and early August. On the whole, soybean aphids occurred in suction-traps at least 2 weeks earlier than they were found in field surveys. A total of 72 alates were collected by suction-trapping over the 4 years, with the earliest alate captures occurring on 28 May in 2009, 2011, 2012 and 4 June in 2010. The life table parameters clearly showed that this aphid had a short doubling time (4.73 ± 0.21 days), and 7.36 ± 0.98 nymphs were produced by a soybean aphid adult during its lifetime (13.57 ± 0.30 days). Finally, biochemical assays indicated that the amount of malondialdehyde and the activities of four defense-related enzymes in soybean leaves significantly changed between 0 day and 7 days of aphid infestation. Polyphenol oxidase (PPO) and catalase (CAT) activities increased more dramatically after 1 day of aphid feeding. In addition, significantly higher levels of superoxide dismutase and CAT were found after aphid feeding for 7 days, whereas there was no significant change in the activities of peroxidase and PPO. Consequently, this study will be beneficial in determining the seasonal occurrence of the soybean aphid and selecting insect-resistant soybean varieties, and thus in developing a theoretical framework for appropriate management strategies.