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  1. Article ; Online: Sustained anaerobic degradation of 4-chloro-2-methylphenoxyacetic acid by acclimated sludge in a continuous-flow reactor

    Zhang, Xuan / Geng, Keke / Wu, Ningning / Hu, Gang / Fan, Ben / He, Jian / Qiao, Wenjing

    Chemosphere. 2023 Apr. 21, p.138749-

    2023  , Page(s) 138749–

    Abstract: 4-Chloro-2-methylphenoxyacetic acid (MCPA) is a widely used herbicide across the world. MCPA is persistent and easily transports into anoxic environment, such as groundwater, sediments and deep soils. However, little research on anaerobic microbial ... ...

    Abstract 4-Chloro-2-methylphenoxyacetic acid (MCPA) is a widely used herbicide across the world. MCPA is persistent and easily transports into anoxic environment, such as groundwater, sediments and deep soils. However, little research on anaerobic microbial degradation of MCPA was carried out. The functional microorganisms as well as the catabolic pathway are still unknown. In this research, an anaerobic MCPA-degrading bacterial consortium was enriched from the river sediment near a pesticide-manufacturing plant. After about 6 months’ acclimation, the MCPA transformation rate of the consortium reached 4.32 μmol g⁻¹ day⁻¹, 25 times faster than that of the original sludge. 96% of added MCPA (2.5 mM) was degraded within 9 d of incubation. Three metabolites including 4-chloro-2-methylphenol (MCP), 2-methylphenol (2-MP) and phenol were identified during the anaerobic degradation of MCPA. An anaerobic catabolic pathway was firstly proposed: firstly, MCPA was transformed to MCP via the cleavage of the aryl ether, then MCP was reductively dechlorinated to 2-MP which was further demethylated to phenol. The 16S rRNA gene amplicon sequencing revealed a substantial shift in the bacterial community composition after the acclimation. SBR1031, Acidaminococcaceae, Aminicenantales, Syntrophorhabdus, Acidaminobacter, Bacteroidetes_vadinHA17, Methanosaeta, Bathyarchaeia, KD4-96, Anaeromyxobacter, and Dehalobacter were significantly increased in the enriched consortium after acclimation, and positively correlated with the anaerobic degradation of MCPA as suggested by heat map correlation analysis. This study provides a basis for further elucidation of the anaerobic catabolism of MCPA, and contributes to developing efficient and low-cost anaerobic treatment technologies for MCPA pollution.
    Keywords Acidaminobacter ; Acidaminococcaceae ; Anaeromyxobacter ; Dehalobacter ; Methanosaeta ; acclimation ; anaerobic conditions ; anaerobic treatment ; bacterial communities ; biodegradation ; catabolism ; community structure ; genes ; groundwater ; heat ; herbicides ; metabolites ; phenol ; pollution ; rivers ; sediments ; sludge ; MCPA ; Anoxic environment ; Anaerobic microbial degradation ; Bacterial community composition ; Heat map correlation analysis
    Language English
    Dates of publication 2023-0421
    Publishing place Elsevier Ltd
    Document type Article ; Online
    Note Pre-press version
    ZDB-ID 120089-6
    ISSN 1879-1298 ; 0045-6535 ; 0366-7111
    ISSN (online) 1879-1298
    ISSN 0045-6535 ; 0366-7111
    DOI 10.1016/j.chemosphere.2023.138749
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  2. Article ; Online: Ruicaihuangia caeni

    Liu, Le / Geng, Keke / Lv, Yu / Zhang, Qi / Chen, Gang / Cheng, Dan / Shao, Jiahui / He, Jian / Shen, Qirong

    International journal of systematic and evolutionary microbiology

    2024  Volume 74, Issue 3

    Abstract: A Gram-stain-positive bacterium, designated YN-L- ... ...

    Abstract A Gram-stain-positive bacterium, designated YN-L-19
    MeSH term(s) Fatty Acids/chemistry ; Sewage ; Phospholipids/chemistry ; Phylogeny ; RNA, Ribosomal, 16S/genetics ; Sequence Analysis, DNA ; Bacterial Typing Techniques ; DNA, Bacterial/genetics ; Base Composition ; Peptidoglycan/chemistry ; Actinomycetales ; Gram-Positive Bacteria ; Vitamin K 2/chemistry
    Chemical Substances Fatty Acids ; Sewage ; Phospholipids ; RNA, Ribosomal, 16S ; DNA, Bacterial ; Peptidoglycan ; Vitamin K 2 (11032-49-8)
    Language English
    Publishing date 2024-03-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 2002336-4
    ISSN 1466-5034 ; 1466-5026
    ISSN (online) 1466-5034
    ISSN 1466-5026
    DOI 10.1099/ijsem.0.006302
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Jeotgalibaca caeni

    Geng, Keke / Liu, Le / Wu, Ningning / Cheng, Dan / Shao, Jiahui / He, Jian / Shen, Qirong

    International journal of systematic and evolutionary microbiology

    2023  Volume 73, Issue 10

    Abstract: A Gram-stain-positive, coccoid-shaped, non-spore-forming, facultatively anaerobic bacterium, designated YN-L- ... ...

    Abstract A Gram-stain-positive, coccoid-shaped, non-spore-forming, facultatively anaerobic bacterium, designated YN-L-12
    MeSH term(s) Fatty Acids/chemistry ; Sewage/microbiology ; Phospholipids/chemistry ; Phylogeny ; RNA, Ribosomal, 16S/genetics ; Base Composition ; DNA, Bacterial/genetics ; Bacterial Typing Techniques ; Sequence Analysis, DNA
    Chemical Substances Fatty Acids ; Sewage ; Phospholipids ; RNA, Ribosomal, 16S ; DNA, Bacterial
    Language English
    Publishing date 2023-10-27
    Publishing country England
    Document type Journal Article
    ZDB-ID 2002336-4
    ISSN 1466-5034 ; 1466-5026
    ISSN (online) 1466-5034
    ISSN 1466-5026
    DOI 10.1099/ijsem.0.006116
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Sustained anaerobic degradation of 4-chloro-2-methylphenoxyacetic acid by acclimated sludge in a continuous-flow reactor.

    Zhang, Xuan / Geng, Keke / Wu, Ningning / Hu, Gang / Fan, Ben / He, Jian / Qiao, Wenjing

    Chemosphere

    2023  Volume 330, Page(s) 138749

    Abstract: 4-Chloro-2-methylphenoxyacetic acid (MCPA) is a widely used herbicide across the world. MCPA is persistent and easily transports into anoxic environment, such as groundwater, sediments and deep soils. However, little research on anaerobic microbial ... ...

    Abstract 4-Chloro-2-methylphenoxyacetic acid (MCPA) is a widely used herbicide across the world. MCPA is persistent and easily transports into anoxic environment, such as groundwater, sediments and deep soils. However, little research on anaerobic microbial degradation of MCPA was carried out. The functional microorganisms as well as the catabolic pathway are still unknown. In this research, an anaerobic MCPA-degrading bacterial consortium was enriched from the river sediment near a pesticide-manufacturing plant. After about 6 months' acclimation, the MCPA transformation rate of the consortium reached 4.32 μmol g
    MeSH term(s) 2-Methyl-4-chlorophenoxyacetic Acid ; Sewage ; Anaerobiosis ; RNA, Ribosomal, 16S/genetics ; RNA, Ribosomal, 16S/metabolism ; Herbicides/analysis ; Bacteria/genetics ; Bacteria/metabolism ; Phenol/metabolism ; Acclimatization
    Chemical Substances 2-Methyl-4-chlorophenoxyacetic Acid (D888C394VO) ; Sewage ; RNA, Ribosomal, 16S ; Herbicides ; Phenol (339NCG44TV)
    Language English
    Publishing date 2023-04-21
    Publishing country England
    Document type Journal Article
    ZDB-ID 120089-6
    ISSN 1879-1298 ; 0045-6535 ; 0366-7111
    ISSN (online) 1879-1298
    ISSN 0045-6535 ; 0366-7111
    DOI 10.1016/j.chemosphere.2023.138749
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Lysobacter sedimenti sp. nov., Isolated from the Sediment, and Reclassification of Luteimonas lumbrici as Lysobacter lumbrici comb. nov

    Zhang, Xuan / Wu, Ningning / Geng, Keke / Yang, Pan / Chu, Cuiwei / He, Jian

    Curr Microbiol. 2022 Dec., v. 79, no. 12 p.381-381

    2022  

    Abstract: A bacterium, designated 50ᵀ was isolated from the sediment of a pesticide plant in Shandong Province, PR China. The strain was non-motile, Gram stain-negative, rod shaped and grew optimally on NA medium at 30 °C, pH 7.5 and with 0% (w/v) NaCl. Strain 50ᵀ ...

    Abstract A bacterium, designated 50ᵀ was isolated from the sediment of a pesticide plant in Shandong Province, PR China. The strain was non-motile, Gram stain-negative, rod shaped and grew optimally on NA medium at 30 °C, pH 7.5 and with 0% (w/v) NaCl. Strain 50ᵀ showed the highest 16S rRNA gene sequence similarity with Lysobacter pocheonensis Gsoil 193ᵀ (96.7%), followed by Luteimonas lumbrici 1.1416ᵀ (96.5%). Phylogenetic analyses based on 16S rRNA indicated that strain 50ᵀ and Luteimonas lumbrici 1.1416ᵀ were clustered with the genus of Lysobacter and formed a subclade with Lysobacter pocheonensis Gsoil 193ᵀ. In the phylogenetic analysis based on the genome sequences, strain 50ᵀ and Luteimonas lumbrici 1.1416ᵀ were also clustered with the type strains of the genus Lysobacter. The obtained ANI and the dDDH value between 50ᵀ and Luteimonas lumbrici 1.1416ᵀ were 80.6% and 24.0%, respectively. The respiratory quinone was ubiquinone-8 (Q-8), and the major cellular fatty acids were iso-C₁₅: ₀ (31.7%), summed feature 9 (iso-C₁₇:₁ ω9c or C₁₆:₀ 10-methyl) (23.7%), iso-C₁₇:₀ (14.3%) and iso-C₁₆:₀ (12.6%). The major polar lipids were diphosphatidylglycerol, phosphatidylglycerol, phosphatidylethanolamine and unidentified aminophospholipid, unidentified phospholipid and unidentified lipid. The genomic DNA G + C content was 69.5 mol%. According to the phenotypic, chemotaxonomic and phylogenetic analyses, strain 50ᵀ represents a novel species of the genus Lysobacter, for which the name Lysobacter sedimenti sp. nov. is proposed, with strain 50ᵀ (= KCTC 92088ᵀ = CCTCC AB 2022035ᵀ) as the type strain. In this study, it is also proposed that Luteimonas lumbrici should be transferred to the genus Lysobacter as Lysobacter lumbrici comb. nov. The type strain of Lysobacter lumbrici is 1.1416ᵀ (= KCTC 62979ᵀ = CCTCC AB 2018348ᵀ).
    Keywords DNA ; Luteimonas ; Lysobacter ; bacteria ; chemotaxonomy ; genome ; nucleotide sequences ; pH ; pesticides ; phenotype ; phosphatidylethanolamines ; phylogeny ; quinones ; sediments ; sequence homology ; taxonomic revisions ; China
    Language English
    Dates of publication 2022-12
    Size p. 381.
    Publishing place Springer US
    Document type Article ; Online
    ZDB-ID 134238-1
    ISSN 1432-0991 ; 0343-8651
    ISSN (online) 1432-0991
    ISSN 0343-8651
    DOI 10.1007/s00284-022-03084-0
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  6. Article: Deep Dual-Modal Traffic Objects Instance Segmentation Method Using Camera and LIDAR Data for Autonomous Driving

    Geng, Keke / Dong, Ge / Yin, Guodong / Hu, Jingyu

    Remote Sensing. 2020 Oct. 09, v. 12, no. 20

    2020  

    Abstract: Recent advancements in environmental perception for autonomous vehicles have been driven by deep learning-based approaches. However, effective traffic target detection in complex environments remains a challenging task. This paper presents a novel dual- ... ...

    Abstract Recent advancements in environmental perception for autonomous vehicles have been driven by deep learning-based approaches. However, effective traffic target detection in complex environments remains a challenging task. This paper presents a novel dual-modal instance segmentation deep neural network (DM-ISDNN) by merging camera and LIDAR data, which can be used to deal with the problem of target detection in complex environments efficiently based on multi-sensor data fusion. Due to the sparseness of the LIDAR point cloud data, we propose a weight assignment function that assigns different weight coefficients to different feature pyramid convolutional layers for the LIDAR sub-network. We compare and analyze the adaptations of early-, middle-, and late-stage fusion architectures in depth. By comprehensively considering the detection accuracy and detection speed, the middle-stage fusion architecture with a weight assignment mechanism, with the best performance, is selected. This work has great significance for exploring the best feature fusion scheme of a multi-modal neural network. In addition, we apply a mask distribution function to improve the quality of the predicted mask. A dual-modal traffic object instance segmentation dataset is established using a 7481 camera and LIDAR data pairs from the KITTI dataset, with 79,118 manually annotated instance masks. To the best of our knowledge, there is no existing instance annotation for the KITTI dataset with such quality and volume. A novel dual-modal dataset, composed of 14,652 camera and LIDAR data pairs, is collected using our own developed autonomous vehicle under different environmental conditions in real driving scenarios, for which a total of 62,579 instance masks are obtained using semi-automatic annotation method. This dataset can be used to validate the detection performance under complex environmental conditions of instance segmentation networks. Experimental results on the dual-modal KITTI Benchmark demonstrate that DM-ISDNN using middle-stage data fusion and the weight assignment mechanism has better detection performance than single- and dual-modal networks with other data fusion strategies, which validates the robustness and effectiveness of the proposed method. Meanwhile, compared to the state-of-the-art instance segmentation networks, our method shows much better detection performance, in terms of AP and F1 score, on the dual-modal dataset collected under complex environmental conditions, which further validates the superiority of our method.
    Keywords accuracy ; architecture ; cameras ; data collection ; depth ; detection ; environmental factors ; exhibitions ; knowledge ; lidar ; paper ; remote sensing ; traffic ; volume ; weight
    Language English
    Dates of publication 2020-1009
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    Note NAL-light
    ZDB-ID 2513863-7
    ISSN 2072-4292
    ISSN 2072-4292
    DOI 10.3390/rs12203274
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  7. Article ; Online: Fault-Tolerant Model Predictive Control Algorithm for Path Tracking of Autonomous Vehicle.

    Geng, Keke / Chulin, Nikolai Alexandrovich / Wang, Ziwei

    Sensors (Basel, Switzerland)

    2020  Volume 20, Issue 15

    Abstract: The fault detection and isolation are very important for the driving safety of autonomous vehicles. At present, scholars have conducted extensive research on model-based fault detection and isolation algorithms in vehicle systems, but few of them have ... ...

    Abstract The fault detection and isolation are very important for the driving safety of autonomous vehicles. At present, scholars have conducted extensive research on model-based fault detection and isolation algorithms in vehicle systems, but few of them have been applied for path tracking control. This paper determines the conditions for model establishment of a single-track 3-DOF vehicle dynamics model and then performs Taylor expansion for modeling linearization. On the basis of that, a novel fault-tolerant model predictive control algorithm (FTMPC) is proposed for robust path tracking control of autonomous vehicle. First, the linear time-varying model predictive control algorithm for lateral motion control of vehicle is designed by constructing the objective function and considering the front wheel declination and dynamic constraint of tire cornering. Then, the motion state information obtained by multi-sensory perception systems of vision, GPS, and LIDAR is fused by using an improved weighted fusion algorithm based on the output error variance. A novel fault signal detection algorithm based on Kalman filtering and Chi-square detector is also designed in our work. The output of the fault signal detector is a fault detection matrix. Finally, the fault signals are isolated by multiplication of signal matrix, fault detection matrix, and weight matrix in the process of data fusion. The effectiveness of the proposed method is validated with simulation experiment of lane changing path tracking control. The comparative analysis of simulation results shows that the proposed method can achieve the expected fault-tolerant performance and much better path tracking control performance in case of sensor failure.
    Language English
    Publishing date 2020-07-30
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s20154245
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  8. Article ; Online: Lysobacter sedimenti sp. nov., Isolated from the Sediment, and Reclassification of Luteimonas lumbrici as Lysobacter lumbrici comb. nov.

    Zhang, Xuan / Wu, Ningning / Geng, Keke / Yang, Pan / Chu, Cuiwei / He, Jian

    Current microbiology

    2022  Volume 79, Issue 12, Page(s) 381

    Abstract: A bacterium, designated ... ...

    Abstract A bacterium, designated 50
    MeSH term(s) Animals ; Lysobacter ; RNA, Ribosomal, 16S/genetics ; Phylogeny ; Oligochaeta/genetics ; Soil Microbiology ; DNA, Bacterial/genetics ; Bacterial Typing Techniques ; Sequence Analysis, DNA ; Xanthomonadaceae/genetics ; Phospholipids/chemistry ; Fatty Acids/chemistry
    Chemical Substances RNA, Ribosomal, 16S ; DNA, Bacterial ; Phospholipids ; Fatty Acids
    Language English
    Publishing date 2022-11-03
    Publishing country United States
    Document type Journal Article
    ZDB-ID 134238-1
    ISSN 1432-0991 ; 0343-8651
    ISSN (online) 1432-0991
    ISSN 0343-8651
    DOI 10.1007/s00284-022-03084-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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