Associations of different combinations of moderate-vigorous physical activity and muscle-strengthening activity with mortality among US lung cancer survivors.

BACKGROUND: To investigate the associations of different combinations of moderate to vigorous physical activity (MVPA) and muscle strengthening activity (MSA) with all-cause and cancer mortality among lung cancer survivors. METHODS: This nationwide prospective cohort study used data from the US National Health Interview Survey 2009-2018. A total of 785 lung cancer survivors were included in the study. Participants were linked to the National Death Index through December 31, 2019. Self-reported MVPA and MSA frequency data were used to obtain 4 mutually exclusive exposure categories. Multivariate Cox proportional hazard models were applied to explore the association between exposure categories and outcomes. RESULTS: The mean (standard deviation [SD]) age of the study population was 69.1 (11.3) years and 429 (54.6%) were female. Among them, 641 (81.7%) were White and 102 (13.0%) were Black. The median follow-up time was 3 years (2526 person-years), and 349 (44.5%) all-cause deaths and 232 (29.6%) cancer deaths occurred. Compared to the MVPA < 60 min/week and MSA < 2 sessions/week group, individuals in the MVPA ≥ 60 min/week and MSA < 2 sessions/week group showed hazard ratios (HRs) of 0.50 (95% CI, 0.36-0.69) for all-cause mortality and 0.37 (95% CI, 0.20-0.67) for cancer mortality after the adjustment of covariates. Those in the MVPA ≥ 60 min/week and MSA ≥ 2 sessions/week group exhibited HRs of 0.52 (95% CI, 0.35-0.77) for all-cause mortality and 0.27 (95% CI, 0.12-0.62) for cancer mortality when compared to the MVPA < 60 min/week and MSA < 2 sessions/week group. We also identified distinct non-linear relationships between MVPA and outcomes risk among two MSA frequency subgroups. CONCLUSION: This cohort study demonstrated that higher levels of MVPA and MSA combined might be associated with optimal reductions of mortality risk in lung cancer survivors.

Ipomoea obscura Represents a New Host of Phytoplasma Belonging to 16SrII Group Associated with Witches'-Broom Symptoms in China.

Phytoplasmas are phloem-limited plant pathogenic prokaryotes which can not be cultured in vitro. The pathogens could cause various plant symptoms such as witches'-broom, virescence, and leaf yellows. Ipomoea obscura is a valuable plant species belonging to the family Convolvulaceae, mainly used as a traditional Chinese medicine used to treat diseases such as dehydration and diuresis. In western countries it is commonly referred to as 'obscure morning glory'. During 2020 to 2021, plants showing abnormal symptoms including witches'-broom, internode shortening, and small leaves were found in Hainan Province, a tropical island of China. Approximately 30 % of I. obscura plants in the sampling regions which spanned 400 acres, showed symptoms. In order to identify the associated pathogen, six symptomatic samples and three asymptomatic samples were collected and total DNA were extracted from 0.10 g fresh plant leaf tissues using CTAB DNA extraction method. 16S rRNA and secA gene fragments, specific to phytoplasmas, were PCR amplified using primers R16mF2/R16mR1 and secAfor1/secArev3. The target PCR bands were obtained from the DNA of six symptomatic samples, whereas not from the DNA of the asymptomatic samples. The PCR products of phytoplasma 16S rRNA and secA gene obtained from the diseased samples were cloned and sequenced by Biotechnology (Shanghai) Co., Ltd. (Guangzhou, China). The 16S rRNA and secA gene sequences identified in the study were all identical with the length of 1330 bp (GenBank accession: OR625212) and 720 bp (OR635662) respectively. According to methods and protocols of phytoplasma identification and classification (Wei and Zhao, 2022), the phytoplasma strain identified in the study was described as Ipomoea obscura witches'-broom (IoWB) phytoplasma, IoWB-hnld strain. The partial 16S rRNA gene sequence of IoWB showed 100 % sequence identity over the full 1330 bp sequence to phytoplasmas belonging to 16SrII group like cassava witches'-broom phytoplasma (KM280679). The BLAST search of the 720 bp partial secA gene fragment of IoWB showed 100% sequence identity for the full sequence to phytoplasmas belonging to 16SrII group like 'Sesamum indicum' phyllody phytoplasma (OQ420657). RFLP analysis based on the 16S rRNA gene using iPhyClassifier demonstrated that the IoWB strain was a member of 16SrII-A subgroup with the similarity coefficient 1.00 to the reference phytoplasma strain (L33765). Phylogenetic analysis based on 16S rRNA and secA genes by MEGA 7.0 employing neighbor-joining (NJ) method with 1000 bootstrap value indicated that IoWB-hnld was clustered into one clade with the phytoplasmas belonging to 16SrII group, with 98% and 100% bootstrap value separately. To our knowledge, this is the first report that Ipomoea obscura can be infected by phytoplasmas belonging to 16SrII-A subgroup in China. This report adds to the host range of 'Ca. Phytoplasma aurantifolia', documenting the symptoms on I. obscura which will assist in monitoring and control of the associated pathogen.

Occurrence of 'Candidatus Phytoplasma asteris'-Related Strains infecting Chinaberry (Melia azedarach) Showing Chlorotic Leaf Symptoms on Hainan Island of China.

Chinaberry (Melia azedarach), belonging to the family of Meliaceae, is an ornamental tree distributes across southern of China. In the autumn of 2021, In an area of 400 acres located in Wanning city of Hainan Province, a tropical island in China, with coordinates of 110°28'42.72″E, 19°2'9.96″N, about 20 % (100) of the chinaberry trees showed disease symptoms included chlorotic leaves. The disease symptoms were consistent with infections by a phloem-limited prokaryotic pathogen phytoplasma. The samples of six symptomatic and three asymptomatic were collected for pathogen detection. To identify the pathogen, total nucleic acids were extracted from 0.10 g fresh leaf tissues from the diseased and healthy plant using CTAB DNA extraction method based on Doyle and Doyle. Three primer pairs of R16mF2/R16mR1, secAfor1/secArev3 and fTuf1/rTuf1 were used for specific identification of phytoplasma conserved gene fragments of 16S rDNA, secA and tuf, PCR amplification. Target PCR bands were amplified from the DNA of six diseased chinaberry samples, but not from the DNA of the healthy samples. The products of amplified were cloned and sequenced by Biotechnology (Shanghai) Co., Ltd. (Guangzhou, China). The phytoplasma gene sequences of 16S rRNA, secA and tuf were obtained and all the sequences were identical with the length of 1336 bp, 710 bp and 955 bp, respectively. Representative sequence data for strain MaCL-hn were deposited in Genbank under accession Nos. OR438638 (16S rDNA), OR513089 (secA) and OR860415 (tuf). The phytoplasma strain identified in the study was described as chinaberry chlorotic leaf (MaCL) phytoplasma, MaCL-hn strain. BLAST search based on 16S rRNA genes showed that 43 strains in 16SrI group 'Candidatus Phytoplasma asteris' showed 100% similarity with the 16SRNA sequence of MaCL-hn. BLAST search based on secA genes showed that 9 strains in the phytoplasma group showed 100% similarity with the 16SRNA sequence of MaCL-hn. BLAST search based on tuf genes showed that 21 strains in the phytoplasma group showed 100% similarity with the 16SRNA sequence of MaCL-hn. RFLP analysis based on iPhyClassifier indicated that the MaCL-hn strain was a member of 16SrI-B subgroup with a similarity coefficient 1.00 to the reference phytoplasma strain (AP006628). Phylogenetic tree was constructed based on 16S rRNA by MEGA 11.0 using neighbor-joining (NJ) method with 1000 bootstrap value. The results showed that the MaCL-hn strains were clustered into one clade with 16SrI group 'Ca. Phytoplasma asteris' related strains with 99 % bootstrap value. Multilocus sequence analysis (MLSA) based on the concatenated sequences with the length of 3001 bp including the sequences of 16S rRNA, secA and tuf showed that the MaCL-hn strains were clustered into one clade with the phytoplasma strains in the group with 100 % bootstrap value. To our knowledge, this is the first report that chinaberry can be infected by 'Ca. Phytoplasma asteris'-related strains belonging to 16SrI-B subgroup on Hainan Island of China. This finding in the study will contribute to the epidemic monitoring and the preventive management of the phytoplasmas and their related diseases.

Occurrence of Praxelis clematidea Witches'-Broom Disease Association with 16SrI Group 'Candidatus Phytoplasma asteris' in Hainan Island of China.

Praxelis clematidea is an invasive herbaceous plant belonging to Asteraceae family. From August to November 2020, the plants showing severe witches'-broom symptoms were found in farms and roadsides from Ding'an of Hainan Province, a tropical island of China. The disease symptoms were suggestive of phytoplasma infection. For pathogen detection, P. clematidea samples consisting of six symptomatic and three asymptomatic plants were collected from the farms and roadsites of Ding'an with 40 % incidence by conducting surveys and statistics. Total nucleic acids were extracted using 0.10 g of fresh leaf tissues of the plant through CTAB DNA extraction method. Conserved gene sequences of 16S rRNA and secA genes from phytoplasma were amplified by direct PCR using primer pairs of R16mF2/R16mR1 and secAfor1/secArev3, respectively. R16mF2/R16mR1 PCR amplicons were obtained for all symptomatic samples but not from the symptomless plants. The amplicons were purified and sequenced by Biotechnology (Shanghai) Co., Ltd. (Guangzhou, China). Sequences of 16S rRNA gene (1323 bp) and secA (732 bp) were obtained and all the gene sequences were identical, designated as PcWB (Praxelis clematidea witches'-broom)-hnda. Representative sequencs were deposited in Genbank with accession numbers of PP098736 (16S rDNA) and PP072216 (secA). Nucleotide BLAST (Basic Local Alignment Search Tool) search based on 16S rRNA gene sequences indicated that PcWB-hnda had 100% sequence identity (1323/1323) with 'Candidatus Phytoplasma asteris'-related strains belonging to 16SrI group like Waltheria indica virescence phytoplasma (MW353909) and Capsicum annuum yellow crinkle phytoplasma (MT760793); had 99.62 % sequence identity (1321/1326) with the phytoplasma strains of 16SrI group such as Oenothera phytoplasma (M30790). RFLP (Restriction Fragment Length Polymorphism) pattern derived from 16Sr RNA gene sequences by iPhyClassifier showed identical (similarity coefficient=1.00) to the reference pattern of 16SrI-B subgroup (GenBank accession number: AP006628). The results obtained demonstrate that the phytoplasma strain PcWB-hnda under study is a member of 16SrI-B subgroup. A BLAST search based on secA gene sequences indicated that PcWB-hnda shares 100% sequence identity (732/732 bp) with Pericampylus glaucus witches'-broom phytoplasma (MT875200), 99% sequence identify (728/732 bp) with onion yellows phytoplasma OY-M(AP006628), and 99% sequence identify (729/732 bp) with rapeseed phyllody phytoplasma isolate RP166 (CP055264), among other phytoplasma strains that belong to 16SrI group. Previous studies demonstrated that P. clematidea can be infected by phytoplasmas affiliate to the 16SrII group (GenBank accession number: KY568717 and EF061924) in Hainan Island of China. To our knowledge, this is the first report of a natural infection of P. clematidea by a group 16SrI phytoplasma in the Island of China. 16SrI group can infect agronomic important species such as areca palm in the island and P. clematidea can be a reservoir of 16SrI phytoplasmas. Therefore, it is necessary to search of potential vectors of the pathogens, which would contribute to epidemiological monitoring and prevention of the related diseases.

Occurrence of Phytoplasmas Belonging to 16SrII Group Associated with Cyanthillium cinereum Witches'-Broom Diseases in China.

Cyanthillium cinereum, which belongs to the family of Asteraceae, is an annual or perennial herbaceous plant with significant medicinal uses for treating colds and fever. During September to November of 2020, C. cinereum showing symptoms of witches'-broom were found in economic forests distributed in Ding'an, Hainan Province of China, with 20% incidence. The symptoms of the plant were consistent with infections by 'Candidatus Phytoplasma' species. To identify the pathogen, five symptomatic and three asymptomatic C. cinereum samples were collected. Total DNAs were extracted using 0.10 g fresh leaf tissues of symptomatic and asymptomatic C. cinereum through a CTAB DNA extraction method according to Doyle and Doyle (1990). PCR amplification were performed employing the primer pairs of R16mF2/R16mR1 (Gundersen and Lee, 1996) and secAfor1/secArev3 (Hodgetts et al., 2008) specific for the conserved gene fragments of 16S rRNA and secA from phytoplasma. The PCR products were purified and sequenced through Biotechnology (Shanghai) Co., Ltd. (Guangzhou, China), and the obtained sequences were deposited in GenBank. The phytoplasmal 16S rRNA and secA gene fragments obtained in the study were all identical with the length of 1325 bp (GenBank accession: PP098738) and 741 bp (PP072217), respectively. The phytoplasma strain was described as CcWB-hnda. A BLAST search based on 16S rRNA genes indicated that CcWB-hnda strain was identical to phytoplasmas belonging to 16SrII group like peanut witches'-broom phytoplasma strain T48 (OR239773) and 'Ca. Phytoplasma aurantifolia' strain TB2022 (CP120449). Virtual RFLP profiles based on 16S rRNA gene fragments obtained by iPhyClassifier (Zhao et al., 2009) showed that CcWB-hnda strain was a member of 16SrII-A subgroup with 1.00 similarity coefficient to the reference phytoplasma strain (L33765). A BLAST search based on secA genes indicated that CcWB-hnda had 100% sequence identity with phytoplasmas belonging to 16SrII group such as 'Ca. Phytoplasma aurantifolia' isolate TB2022 (CP120449), Vigna unguiculata witches'-broom phytoplasma (OR661282) and Emilia sonchifolia witches'-broom phytoplasma (MW353710). Phylogenetic analysis based on 16S rRNA and secA genes by MEGA 7.0 employing Neighbor-Joining method with 1000 bootstrap value (Kumar et al., 2016; Felsenstein, 1985) demonstrated that CcWB-hnda was clustered into one clade with the phytoplasmas belonging to 16SrII group, with 98% and 100% bootstrap value respectively. To our knowledge, this is the first report of C. cinereum infected by phytoplasmas belonging to 16SrII-A subgroup in China. Identification of the vector insects of the pathogens is necessary in future, revealing the epidemiology of the related diseases. Phytoplasmas belonging to same 16Sr group or subgroup can infect different plants and spread through them in nature. The finding in this study will be beneficial to epidemic monitoring and early warning of C. cinereum witches'-broom disease and the related plant diseases caused by the phytoplasmas belonging to 16SrII group.

Highly Efficient Utilization of Ferrate(VI) Oxidation Capacity Initiated by Mn(II) for Contaminant Oxidation: Role of Manganese Species.

Manganese ion [Mn(II)] is a background constituent existing in natural waters. Herein, it was found that only 59% of bisphenol A (BPA), 47% of bisphenol F (BPF), 65% of acetaminophen (AAP), and 49% of 4-tert-butylphenol (4-tBP) were oxidized by 20 µM of Fe(VI), while 97% of BPA, 95% of BPF, 96% of AAP, and 94% of 4-tBP could be oxidized by the Fe(VI)/Mn(II) system [20 µM Fe(VI)/20 µM Mn(II)] at pH 7.0. Further investigations showed that bisphenol S (BPS) was highly reactive with reactive iron species (RFeS) but was sluggish with reactive manganese species (RMnS). By using BPS and methyl phenyl sulfoxide (PMSO) as the probe compounds, it was found that reactive iron species contributed primarily for BPA oxidation at low Mn(II)/Fe(VI) molar ratios (below 0.1), while reactive manganese species [Mn(VII)/Mn(III)] contributed increasingly for BPA oxidation with the elevation of the Mn(II)/Fe(VI) molar ratio (from 0.1 to 3.0). In the interaction of Mn(II) and Fe(VI), the transfer of oxidation capacity from Fe(VI) to Mn(III), including the formation of Mn(VII) and the inhibition of Fe(VI) self-decay, improved the amount of electron equivalents per Fe(VI) for BPA oxidation. UV-vis spectra and dominant transformation product analysis further revealed the evolution of iron and manganese species at different Mn(II)/Fe(VI) molar ratios.

Tidal flat microbial communities between the Huaihe estuary and Yangtze River estuary.

Tidal flats have important ecological functions and offer great economic value. Using field sampling, numerical simulation, and high-throughput sequencing, the ecological state of typical tidal flats along the eastern coast of China was investigated. The findings demonstrated that the area may be separated into subregions with notable differences in the features of microbial communities due to the variations in water quality and total pollutant discharge of seagoing rivers. With a ratio of 62%, the development of the microbial community revealed that homogenous selection predominated. In general, the formation of microbial communities follows deterministic processes, especially those of environmental selection. The wetland microbial communities are impacted by pollutants discharged into the sea from the Huaihe River and the Yangtze River. The Yangtze River's nitrogen pollutants affected the wetland zone, and denitrification dominated. The study established ecological patterns between the river and the sea and we offer suggestions for managing watersheds and safeguarding the ecology of coastal tidal flats.

Long-term dynamics and drivers of particulate phosphorus concentration in eutrophic lake Chaohu, China.

Particulate phosphorus (PP) plays an important biological role in the eutrophication process, and is thus an important water quality parameter for assessing climatic change and anthropogenic activity factors that affect aquatic ecosystems. Here, we used 20-year Moderate Resolution Imaging Spectroradiometer (MODIS) data to explore the patterns and trends of PP concentration (CPP) in eutrophic Lake Chaohu based on a new empirical model. The validation results indicated that the developed model performed satisfactorily in estimating CPP, with a mean absolute percentage error of 31.89% and root mean square error of 0.022 mg/L. Long-term MODIS observations (2000-2019) revealed that the CPP of Lake Chaohu has experienced an overall increasing trend and distinct spatiotemporal heterogeneity. The driving factor analysis revealed that the chemical fertilizer consumption, municipal wastewater, industrial sewage, precipitation, and air temperature were the five potential driving factors and collectively explained more than 81% of the long-term variation in CPP. This study provides the long-term datasets of CPP in inland waters and new insights for future water eutrophication control and restoration efforts.

First Report of 16SrII Group Related Phytoplasma Associated with Areca Palm Yellow Leaf Disease on Areca catechu in China.

The areca palm, Areca catechu L., family Arecaceae is an important herbal medicine which has potential for the treatment of parasitic diseases, digestive function disorders and depression (Peng et al. 2015). Yellow leaf disease (YLD), caused by phytoplasma, is a destructive disease of Areca catechu. In 1981, the YLD was first discovered in Tunchang, Hainan, China. According to the investigation in 2020, the occurrence area of YLD was 32 102.38 hm2 in Hainan, China, resulting in 50%-60% yield loss. Previous researchers based on 16S rDNA gene PCR amplification analysis showed that YLD in Hainan was caused by 16SrI group phytoplasma (Che et al. 2010). In August, 2022, yellow leaf symptoms were observed on middle and lower leaves of Areca catechu. Forty symptomatic plants and three asymptomatic samples were collected in Wenchang, Hainan, China (19°33'9″N, 110°48'5″E). Forty-three samples (0.1g each) were used to extract total DNA (TIANGEN plant genomic DNA extraction kit). Phytoplasma universal primers named P1/P7 (Schneider et al. 1995) and R16F2n/R16R2 (Gundersen and Lee 1996) for 16Sr DNA and primers named fTuf1/rTuf1 and fTufu/rTufu (Schneider et al. 1997) for tuf genes were used for amplifying phytoplasma sequences from isolated DNA samples by nested PCR. No fragment was amplified in asymptomatic plants and four out of forty symptomatic samples could amplify target fragment. R16F2n/R16R2 amplicons (1 248 bp) and fTufu/rTufu amplicons (845 bp) from four symptomatic Areca catechu samples were sequenced in BGI (https://genomics.cn/). The 16Sr DNA GenBank accession numbers of four positive strains (named HNWC5, HNDZ1, HNDZ3 and HNDZ6) were OQ586072, OQ586085, OQ586086, OQ586087, respectively and the tuf GenBank accession numbers were OQ595209, OQ595210, OQ595211, OQ595212, respectively. Sequence alignment showed that the 16S rDNA and tuf sequence of HNDZ1, HNDZ3 and HNDZ6 were 100% consistent. 16S rDNA of HNWC5 was 99.96% consistent with HNDZ1 and tuf of HNWC5 was 98.31% consistent with HNDZ1. Interestingly, blast search based on 16S rDNA gene of HNWC5 showed 100% sequence identity with that of 16SrII group phytoplasma such as 'Eclipta prostrata' phytoplasma strain Ep1(MH144204.1), 'Aeschynomene americana' phytoplasma isolate AA1(MH231157.1) and 'Acacia confusa' witches'-broom phytoplasma isolate HK6(ON408364.1). Blast search based on tuf gene of HNWC5 showed 98.7% sequence identity with that of bamboo witches'-broom phytoplasma (FJ853160.1) and 91.02% sequence identity with that of 'podocarpus nagi' fasciation phytoplasma (KR633146) and 90.78% sequence identity with that of 'Musa acuminata' elephantiasis disease phytoplasma (MF983708). The phylogenetic tree was constructed based on 16Sr DNA gene by MEGA 7.0 employing neighbor-joining (NJ) method with 1000 bootstrap value (Kumar et al. 2016). The result indicated that the HNWC5, HNDZ1, HNDZ3 and HNDZ6 phytoplasma strains clustered a subclade in 16SrII group. The virtual RFLP analysis based on the 16Sr DNA gene sequence was performed by the online phytoplasma classification tool iPhyClassifier (Zhao et al. 2009) using restriction endonucleases of AluI, BamHI, BfaI, BstUI, DraI, EcoRI, HaeIII, HhaI, HinfI, HpaI, HpaII, KpnI, Sau3AI, MseI, RsaI, SspI and TaqI. The result indicated that HNWC5 was most similar to the reference pattern of peanut witches'-broom phytoplasma (16SrII-A subgroup, GenBank accession: L33765) and the pattern similarity coefficient of HNWC5 is 1.00. However, the HpaII restriction endonuclease pattern of HNDZ1, HNDZ3 and HNDZ6 was different from L33765 and the similarity coefficient was 0.97, which indicated this strain may represent a new subgroup within the 16SrII group. To our knowledge, this is the first report of 16SrII group related phytoplasma associated with YLD on Areca catechu in China. Our study contributes to understanding the polymorphism of phytoplasma causing YLD and provides an important reference for pathogen specific detection.

Universal, Rapid, and Visual Detection Methods for Phytoplasmas Associated with Coconut Lethal Yellowing Diseases Targeting 16S rRNA Gene Sequences.

Coconut lethal yellowing (LY) diseases caused by phytoplasmas are devastating diseases for coconut cultivation and seriously threaten the coconut industry around world. The phytoplasmas associated with the LY diseases belonged to six 16Sr groups containing 16SrI, 16SrIV, 16SrXI, 16SrXIV, 16SrXXII, and 16SrXXXII with comparatively higher variable levels. Conserved regions of the 16S rRNA genes of LY phytoplasmas belonging to the six 16Sr groups were obtained in the study. Based on the conserved region sequences of 16S rRNA genes, two sets of LAMP primers, Co-4 and Co-6, were designed and screened, and the rapid and visual detection methods universal for different groups LY phytoplasmas were established. The entire detection reactions of the universal detection methods could be completed with only 30 to 40 min of constant temperature amplification at 64°C, and the detection results were judged by the color changes of the reaction systems, which are convenient and quick. For the six groups of phytoplasmas, the estimated minimum detection limit range of the universal detection primers Co-4 and Co-6 were identical: 4.8 × 101 to 4.8 × 107 copies per 200 µl. The universal detection methods for the LY phytoplasmas established in the study are of great significance for the rapid diagnosis and identification and the efficient monitoring and early warning as well as the port inspection and quarantine of the LY phytoplasmas and their related diseases.

Molecular Identification of 'Candidatus Phytoplasma malaysianum'-Related Strains Associated with Areca catechu Palm Yellow Leaf Disease and Phylogenetic Diversity of the Phytoplasmas within 16SrXXXII Group.

Areca catechu palm is an important cash plant in Hainan Island of China and even tropical regions worldwide. Areca catechu palm yellow leaf (AcYL) disease caused by the phytoplasmas is a devastating disease for the plant production. In the study, the phytoplasmas associated with the AcYL diseases were identified and characterized based on the conserved genes of the phytoplasmas, and genetic variation and phylogenetic relationship of the phytoplasma strains in the 16SrXXXII group was demonstrated. The results indicated that Areca catechu palm showing yellow leaf symptoms were single infected by 'Candidatus Phytoplasma malaysianum'-related strains belonging to 16SrXXXII-D subgroup. BLAST and multiple sequence alignment analysis based on 16S rRNA and secA genes showed that the AcYL phytoplasmas shared 100% sequence identity and 100% homology with the 'Ca. Phytoplasma malaysianum'-related strains. Phylogenetic analysis indicated that the AcYL phytoplasmas and 'Ca. Phytoplasma malaysianum'-related strains belonging to 16SrXXXII group were clustered into one clade with a 100% bootstrap value. Based on computer-simulated digestions, 6 kinds of RFLP patterns within 16SrXXXII group were obtained and a novel subgroup in the 16Sr group was recommended to propose to describe the relevant strains in this 16Sr subgroup. To our knowledge, this is the first report that Areca catechu palm showing yellow leaf symptoms infected by 'Ca. Phytoplasma malaysianum'-related strains belonging to 16SrXXXII group. And a novel 16Sr subgroup 16SrXXXII-F was proposed based on the systematical analysis of genetic variation of all the phytoplasmas within 16SrXXXII group. The findings of this study would support references for monitoring the epidemiology and developing effective prevention strategies of the AcYL diseases.

Alocasia macrorrhiza Represents a New Host of 'Candidatus Phytoplasma asteris'-Related Strains Associated with Yellows Symptoms in China.

Alocasia macrorrhiza, which belongs to the Araceae family, is an important landscape plant in China, and has of significant medicinal uses. In 2022, A. macrorrhiza displaying abnormal symptoms were found in Qionghai, Hainan Island of China (110°23'3.06″，19°7'56.29″). The incidence of symptomatic plants was about 40% in the sampled areas. The abnormal symptoms included that the ovoid leaves color turned yellow from green gradually, with ovoid leaves chlorosis, mesophyll tissue yellowing, miniature leaves and systemic wilting. The diseased symptoms suspected to be associated with phytoplasma according to the protocols of phytoplasma identification. In order to identify the pathogen, eleven diseased samples and three asymptomatic samples were collected from an area of about 40 hectares. Total DNAs were extracted from 0.10 g fresh plant leaf tissues using a CTAB DNA extraction method. PCR amplifications were performed using primers R16mF2/R16mR1 and fTuf1/rTuf1 specific for the phytoplasma 16S rRNA and tuf genes. Target PCR amplicons were obtained from the DNA of 11 diseased samples, whereas not from the DNA of the asymptomatic samples. The PCR products were cloned and sequenced by Biotechnology (Shanghai) Co., Ltd. (Guangzhou, China), and the obtained sequences were assembled, edited and analyzed using the EditSeq program and DNAMAN version 6.0. The phytoplasma 16S rRNA and tuf gene amplicons were 1336 and 930 bp in length, respectively. The sequences of all 16S rRNA and tuf amplicons in this study were identical. The sequencing data were deposited in GenBank with accession numbers OR466206 (16S rDNA) and OR513090 (tuf). According to the methods and protocols of phytoplasma identified and classification, the phytoplasma strain was described as Alocasia macrorrhiza yellows (AmY) phytoplasma, AmY-hn strain. BLAST search were conducted based on 16Sr RNA and tuf genes. The results showed that the AmY-hn had 100 % 16Sr RNA sequence identity (1336 bp out of 1336 bp) with that of 16SrI-B subgroup phytoplasmas like onion yellows phytoplasma (OY-M, AP006628). The AmY-hn had 100 % tuf sequence identity (930 bp out of 930 bp) with that of 16SrI-B subgroup phytoplasmas like OY-M. RFLP profiles obtained with iPhyClassifier demonstrated that AmY-hn strain was a member of the 16SrI-B subgroup with a similarity coefficient 1.00 to the reference phytoplasma strain (AP006628). Separated phylogenetic analysis based on 16S rRNA and tuf genes obtained with MEGA 7.0 using the neighbor-joining (NJ) method with 1000 bootstrap value indicated that AmY-hn clustered into one clade with phytoplasma strains of OY-M and chinaberry witches'-broom (KP662119) with 100 % and 87 % bootstrap value respectively. To our knowledge, this is the first report that a 'Candidatus Phytoplasma asteris'-related strain belonging to 16SrI-B subgroup infects A. macrorrhiza in China. The 16SrI-B subgroup 'Candidatus Phytoplasma asteris'-related strains can spread outwards through the plant A. macrorrhiza. Thus, the findings in the study will be beneficial to the detection of phytoplasmas which parasitic in this plant and the epidemic monitoring of the related diseases.

First Report of 16SrI-B Subgroup Related Phytoplasma Associated with Yellows Symptoms of Rubus cochinchinensis in China.

Rubus cochinchinensis, an important traditional Chinese medicine in China is used to treat rheumatic arthralgia, bruises and lumbocrural pain (He et al.2005). In January 2022, yellow leaves of R. cochinchinensis were found in Tunchang City, Hainan Province, a tropical island in China. Chlorosis spread along the direction of vascular tissue while the leaf veins remain green (Fig. 1). In addition, the leaves were slightly shrunken and the growth vigor is poor (Fig. 1). By survey, we found the incidence of this disease was about 30%. Three etiolated samples and three healthy samples (0.1g each) were used to extract total DNA (TIANGEN plant genomic DNA extraction kit). Using nested PCR method, phytoplasma universal primers P1 / P7 (Schneider et al., 1995) and R16F2n / R16R2 (Lee et al. 1993) were used to amplified phytoplasma 16S rDNA gene. Primers rp F1 / R1 (Lee et al. 1998) and rp F2 / R2 (Martini et al. 2007) were used to amplified rp gene. 16S rDNA gene and rp gene fragments were amplified from three leaf etiolated samples, but not from healthy samples. The amplified fragments were cloned and sequenced, and the sequences were assembled by DNASTAR11. By sequence alignment, we found the obtained 16S rDNA and rp gene sequences of three leaf etiolated samples were same. The length of 16S rDNA fragment was 1237 bp (accession number: ON944105) and the length of rp gene fragment was 1212 bp (accession number: ON960069). The phytoplasma strain was named as 'R. cochinchinensis' yellows leaf phytoplasma (RcT), RcT-HN1 strain. The 16S rDNA gene sequence of RcT-HN1is 99.8% consistent with 16SrI-B subgroup members such as the 'Brassica napus' dwarf phytoplasma strain WH3 (MG599470.1), Chinaberry yellows phytoplasma strain LJM-1(KX683297.1) and Arecanut yellow leaf disease phytoplasma strain B165 (FJ694685.1). The rp gene sequence of RcT-HN1 is 100% consistent with rpI-B subgroup members such as the 'Salix tetradenia' witches'-broom phytoplasma strain YM-1 (KC117314.1) and Chinaberry witches'-broom phytoplasma strain Hainan (EU348781.1). The phylogenetic tree analysis, based on concatenated 16S rDNA-rp gene sequence of same group phytoplasma by MEGA 7.0 employing neighbor-joining (NJ) method with 1000 bootstrap value, were performed (Kumar et al., 2016). The results showed that RcT-HN1 phytoplasma strain formed a subclade in aster yellows group B subgroup (Fig. 2). The virtual RFLP analysis based on the 16S rRNA gene fragment of RcT-HN1 phytoplasma strain was performed by the interactive online phytoplasma classification tool iPhyClassifier (Zhao et al., 2009). The results showed that the phytoplasma strain was same as the reference pattern of the onion yellows phytoplasma of 16SrI-B (GenBank accession: AP006628), and the similarity coefficient was 1.00. This is the first report that 16SrI-B subgroup related phytoplasma infected R. cochinchinensis and caused yellows symptoms in China. The discovery of the disease is helpful to the study of the spread of phytoplasma-related diseases and protect R. cochinchinensis resources.

Prediction of municipal solid waste generation and analysis of dominant variables in rapidly developing cities based on machine learning - a case study of China.

Prediction of municipal solid waste (MSW) generation plays an essential role in effective waste management. The main objectives of this study were to develop models for accurate prediction of MSW generation (MSWG) and analyze the influence of dominant variables on MSWG. To elevate the model's prediction accuracy, more than 50 municipal variables were considered original variables, which were selected from 12 categories. According to the screening results, the dominant variables are classified into four categories: urban greening, population size and residential density, regional economic development and resident income and expenditure. Among the seven machine learning methods, back propagation (BP) neural network has the best model evaluation effect. The R2 of the BP neural network model of Jiangsu, Zhejiang and Shandong provinces were 0.969, 0.941 and 0.971 respectively. The prediction accuracy of Shandong province (93.8%) was the best, followed by Jiangsu province (92.3%) and Zhejiang province (72.7%). The correlation between dominant variables and the MSWG was mined, suggesting that regional GDP and the total retail sales of consumer goods were the most important dominant variables affecting MSWG. Moreover, the MSWG might not absolutely associate with the population size and residential density. The method used in this study is a practical tool for policymakers on regional/local waste management and MSWG control.

Hydrodynamic zones and the influence of microorganisms on nitrogen transformation in the diverging area of branched rivers.

Diverging area is widespread in river networks, and understanding its biogeochemical process characteristics is of great significance to river ecological restoration and environmental quality improvement. Microbial communities affected by hydrodynamics play an important role in biogeochemical processes, but their relationship in diverging area is little known. Here, the composition of microbial community and its feedback to hydrodynamics and nitrogen conversion in the diverging area of river networks were first studied by coupling ecological theory, biogeochemical theory, microbial DNA sequencing and mathematical model of water environment. The results showed that there were five hydrodynamic zones with significant velocity differences in the diverging area, namely low velocity zone, maximum velocity zone, stagnant zone, separation zone, and deflection zone. According to the flow velocity grouping, there were significant differences in the microbial diversity and abundance among low velocity group, maximum velocity group and stagnant group had significant differences (p < 0.05, stress = 0.1207). In the low velocity group, Firmicutes was the dominant phylum which had a highest abundance and may promot the conversion of organic nitrogen into ammonia nitrogen. In the maximum velocity group, Bdellovibrionota was the dominant phylum which had a highest abundance and may promot the conversion of nitrate and nitric oxide to nitrogen. In the stagnant zone, Methylomirabilota was the dominant phylum which had a highest abundance and may promot the conversion of nitrogen into nitrate and ammonium. In addition, dissolved oxygen was the most sensitive environmental factor for shaping microorganisms and nitrogen conversion in the diverging area of the river networks by canonical correlation analysis. The denitrifying bacteria Rhodocyclaceae, was shown to negatively correlated with the flow velocity. This research improves the scientific basis for the study of the ecosystem in river networks, which will guide the construction of river ecological projects.

A prediction model based on clinical and histological features for predicting recurrence in patients with stage I-II endometrial cancer after surgical treatment.

OBJECTIVE: The study aimed to develop a prediction model combining clinical and histological features to predict recurrence in patients with stage I-II endometrial cancer (EC) after surgical treatment. METHODS: A total of 746 stage I-II EC patients who had received primary surgical treatment at Taizhou People's Hospital between 2014 and 2018 were included and randomly divided as a Training cohort (n = 520) and a Validation cohort (n = 226) at a 7:3 ratio. Clinical features including age, body mass index, comorbidities, lymphadenectomy, and adjuvant treatment, and histological features including histologic type, myometrial invasion, cervical stromal invasion, and expression levels of Ki67, estrogen receptor (ER), progesterone receptor (PR), whey acidic protein 4-disulphide core domain 2 (WFDC2), and p53 were used to develop a prediction model for EC recurrence in the Training cohort using a multivariable Cox regression model. Model discrimination and calibration were further evaluated in the Validation cohort. RESULTS: EC recurrence was observed in 60 (11.54%) patients in the Training cohort with a median length of follow-up of 39 months. Age, adjuvant treatment, histologic type, cervical stromal invasion, and expression levels of Ki67, ER, PR, and WFDC2 were factors significantly associated with EC recurrence based on univariable Cox regression analysis. After a model selection by AIC in a stepwise algorithm, the final model incorporated the above predictors showed a C-index of 0.85 and fair calibration in the Training cohort. In the Validation cohort, the model still showed good discrimination power (C-index 0.80) but moderate calibration. CONCLUSIONS: The developed prediction model combining clinical and histological features can help to predict the EC recurrence in patients with stage I-II EC after surgical treatment.

The distribution and ecological risks of antibiotics in the sediments from a diverging area of the bifurcated river: Effects of hydrological properties.

The hydrodynamics in the diverging area become complicated because of the basin hydrological conditions, making the distribution of antibiotics largely uncertain and thus bringing uncertain ecological risks of antibiotics. Through field sampling, experiments and numerical simulations, the distribution of antibiotics, its responses to hydrological conditions were studied. Antibiotics in the bifurcated river sediments was mainly distributed in the branch mouth. The hydrodynamic regions were affected by the hydrological frequency. Notably, the center of the low-velocity area moved upstream and gradually expands to the entire tributary as the hydrological frequency shifted from high to low. ENRO (enrofloxacin) and OFC (ofloxacin) were the key hazardous antibiotics affecting the ecological health in the diverging area, and their concentrations are mainly affected by sediment particle size (D < 0.15 mm) and oxygen content. The ecological risk of antibiotics in the diverging area were gradually decreased with the increase of the distance from the central area. The water physical and chemical properties, altered by the river basin hydrological conditions, play an important role in influencing the distribution of antibiotic concentrations, and ultimately posing great threat to aquatic ecosystem. The research provides a scientific basis for antibiotic risk control in the diverging area under different hydrological conditions.

YAP manipulates proliferation via PTEN/AKT/mTOR-mediated autophagy in lung adenocarcinomas.

BACKGROUND: Autophagy is a double-edged sword during the initiation and progression of multiple tumors. The Hippo pathway effector YAP has been proved to be involved in autophagy processes. The present study aimed to investigate how YAP regulates cell proliferation via autophagy in lung adenocarcinomas (LUAD). METHODS: Data of LUAD chip GSE43458 was obtained from Gene Expression Omnibus (GEO). RT-qPCR and Western blot were performed to assess YAP expression in LUAD cell lines. CCK-8 assay, xenograft tumor model, immunochemistry and GFP-mRFP-LC3 fusion proteins were utilized to evaluate the effect of YAP on autophagy of LUAD cells in vitro and in vivo. Autophagy inhibitor treatment and rescue experiments were carried out to elucidate the mechanism by which YAP manipulates autophagy in LUAD cells. RESULTS: YAP was significantly overexpressed in samples of LUAD patients and its expression level is related to 5-year survival. YAP manipulated the proliferation and autophagy in A549 and H1299 LUAD cells. YAP could induce activation of Akt/mTOR signaling pathway via suppressing PTEN in a Hippo-pathway-dependent manner. 3-Methyladenine impeded autophagy flux and promoted the proliferation in vitro and in vivo. CONCLUSIONS: Hippo pathway critical transcriptional coactivators YAP manipulates the proliferation of lung adenocarcinoma, which is regulated by PTEN/AKT/mTOR autophagic signaling.

Approach to Predicting the Size-Dependent Inhalation Intake of Particulate Novel Brominated Flame Retardants.

The risk of human exposure to particulate novel brominated flame retardants (NBFRs) in the atmosphere has received increasing attention from scientists and the public, but currently, there is no reliable approach to predict the intake of these compounds on the basis of their size distribution. Here, we develop a reliable approach to predict the size-dependent inhalation intake of particulate NBFRs, based on the gas/particle (G/P) partitioning behavior of the NBFRs. We analyzed the concentrations of eight NBFRs in 363 size-segregated particulate samples and 99 paired samples of gaseous and bulk particles. Using these data, we developed an equation to predict the G/P partitioning quotients of NBFRs in particles in different size ranges (KPi) based on particle size. This equation was then successfully applied to predict the size-dependent inhalation intake of particulate NBFRs in combination with an inhalation exposure model. This new approach provides the first demonstration of the effects of the temperature-dependent octanol-air partitioning coefficient (KOA) and total suspended particle concentration (TSP) on the intake of particulate NBFRs by inhalation. In an illustrative case where TSP = 100 µg m-3, inhalation intake of particulate NBFRs exceeded the intake of gaseous NBFRs when log KOA > 11.4.

Determination of Polycyclic Aromatic Hydrocarbons and Their Methylated Derivatives in Sewage Sludge from Northeastern China: Occurrence, Profiles and Toxicity Evaluation.

This paper assesses the occurrence, distribution, source, and toxicity of polycyclic aromatic hydrocarbons (PAHs), and their methylated form (Me-PAHs) in sewage sludge from 10 WWTPs in Northeastern China was noted. The concentrations of ∑PAHs, ∑Me-PAHs ranged from 567 to 5040 and 48.1 to 479 ng.g-1dw, which is greater than the safety limit for sludge in agriculture in China. High and low molecular weight 4 and 2-ring PAHs and Me-PAHs in sludge were prevalent. The flux of sludge PAHs and Me-PAHs released from ten WWTPs, in Heilongjiang province, was calculated to be over 100 kg/year. Principal component analysis (PCA), diagnostic ratios and positive matrix factorization (PMF) determined a similar mixed pyrogenic and petrogenic source of sewage sludge. The average values of Benzo[a]pyrene was below the safe value of 600 ng.g-1 dependent on an incremental lifetime cancer risk ILCR of 10-6. Sludge is an important source for the transfer of pollutants into the environment, such as PAHs and Me-PAHs. Consequently, greater consideration should be given to its widespread occurrence.