| Literature DB >> 31393224 |
Lin Gan1, Xiaolong Cao2, Yan Wang1, Yiqian Wang1, Huaying Jiang1,3, Ruiting Lan4, Jianguo Xu1, Changyun Ye1.
Abstract
Listeria monocytogenes is a high risk pathogen which can cause invasive diseases in humans. We previously reported that black-headed gulls from Dianchi Lake of Kunming carrying L. monocytogenes, while the characteristics of these isolates and the relationship with habitats of migratory gulls have not been explored. In this study, we investigated the prevalence and molecular characteristics of Listeria monocytogenes from black-headed gulls in Dianchi Lake, and phylogenetic analysis based on core genome SNPs was used to determine the genetic relationship of the strains from Dianchi Lake and other regions. Occurrence of L. monocytogenes in black-headed gull feces in 2016, 2017 and 2018 was 1.0%, 1.0% and 0.6% respectively. The predominant serotype of 28 isolates was 4b, while the predominant sequence types were ST145 and ST201. Based on their prevalence and genomic relationships, ST5 and ST87 were likely to be sourced locally while ST145 and ST201 were likely to be non-local. L. monocytogenes may travel along the bird migration route leading to transmission over a large geographical span carried by black-headed gull. Although the prevalence of L. monocytogenes was low, its carriage by the migratory black-headed gulls poses potential public health risks in regions where the migratory birds passage and reside.Entities:
Keywords: ST; black-headed gull; migration; transmission
Mesh:
Year: 2019 PMID: 31393224 PMCID: PMC6713206 DOI: 10.1080/22221751.2019.1647764
Source DB: PubMed Journal: Emerg Microbes Infect ISSN: 2222-1751 Impact factor: 7.163
Prevalence and subtyping characteristics of L. monocytogenes (LM) in Dianchi lake.
| Sample types | District | Time | No. of samples (No. of LM) | Sequence types | Pulsotypes |
|---|---|---|---|---|---|
| Black-headed gull feces | |||||
| Dianchi Lake | Mar 2016 | 895 (9) | ST3b, ST5b, ST35, ST201b | PT22, PT51b, PT59, PT351 | |
| Dianchi Lake | Jan 2017 | 950 (16) | ST3b, ST14, ST73, ST145a,b, ST201b | PT23, PT33a,b, PT51b, PT261, PT374 | |
| Dianchi Lake | Nov 2017 | 662 (0) | – | – | |
| Dianchi Lake | Jan 2018 | 523 (3) | ST5b, ST87, ST145b | PT30, PT33b, PT369 | |
| Environmental swabs | |||||
| Dianchi Lake | Jan 2017 | 150 (1) | ST2 | PT34 | |
| Dianchi Lake | Nov 2017 | 72 (0) | |||
| Dianchi Lake | Jan 2018 | 78 (0) | |||
| Food samples | |||||
| Retail Markets | Nov 2017 | 213 (30) | ST2b, ST3b, ST8, ST9b, ST37, ST87a,b, ST121b, ST155, ST330, ST391 | PT4a,b, PT9b, PT11, PT12, PT16b, PT27, PT30b, PT32, PT34b, PT37, PT178, PT310, PT318b, PT371, PT372 | |
| Retail Markets | Jan 2018 | 175 (34) | ST2b, ST3b, ST5, ST7, ST9b, ST87a,b, ST101, ST121b, ST288 | PT4b, PT9b, PT16b, PT17, PT22, PT26, PT30a,b, PT34b, PT36, PT45, PT52, PT53, PT263, PT317, PT318b, PT373 |
aPredominant subtype in isolates.
bSubtype which collected ≥ two times in different years.
Genome information of L. monocytogenes isolates from Dianchi lake.
| Strain | Sequence type | Pulsotype | Time | Assembly size (bp) | NO. of CDS | Protein coding DNA (%) | G + C content (%) | N50 | No. of tRNAs | No. of rRNAs (5S, 16S, 23S) |
|---|---|---|---|---|---|---|---|---|---|---|
| ICDC-LM1866 | ST3 | PT351 | Mar 2016 | 3020306 | 3008 | 90.37 | 38.47 | 518423 | 56 | 5, 1, 1 |
| ICDC-LM1867 | ST201 | PT51 | Mar 2016 | 2952181 | 3004 | 90.17 | 38.66 | 556870 | 56 | 5, 1, 1 |
| ICDC-LM1868 | ST201 | PT51 | Mar 2016 | 2949970 | 3000 | 90.08 | 38.66 | 530631 | 54 | 5, 1, 1 |
| ICDC-LM1869 | ST201 | PT51 | Mar 2016 | 2950979 | 3003 | 90.2 | 38.66 | 556870 | 56 | 1, 1, 1 |
| ICDC-LM1870 | ST201 | PT51 | Mar 2016 | 2950530 | 3002 | 90.2 | 38.66 | 556870 | 54 | 5, 1, 1 |
| ICDC-LM1871 | ST35 | PT59 | Mar 2016 | 2918246 | 2951 | 90.49 | 38.43 | 584287 | 65 | 5, 1, 1 |
| ICDC-LM1872 | ST35 | PT59 | Mar 2016 | 2927894 | 2958 | 90.44 | 38.43 | 584287 | 59 | 4, 1, 1 |
| ICDC-LM1873 | ST35 | PT59 | Mar 2016 | 2916200 | 2945 | 90.53 | 38.43 | 584287 | 65 | 4, 0, 1 |
| ICDC-LM1874 | ST5 | PT22 | Mar 2016 | 2982693 | 2974 | 90.51 | 38.42 | 1534255 | 54 | 5, 0, 1 |
| ICDC-LM3065 | ST87 | PT30 | Jan 2018 | 2920082 | 2907 | 90.02 | 38.48 | 355652 | 56 | 5, 1, 1 |
| ICDC-LM3066 | ST5 | PT369 | Jan 2018 | 2996512 | 3013 | 90.51 | 38.41 | 508204 | 55 | 5, 1, 1 |
| ICDC-LM3067 | ST145 | PT33 | Jan 2018 | 2922729 | 2898 | 90.41 | 38.43 | 593832 | 54 | 4, 1, 1 |
| ICDC-LM3068 | ST14 | PT261 | Nov 2017 | 2977883 | 2994 | 90.56 | 38.33 | 543427 | 58 | 4, 1, 1 |
| ICDC-LM3069 | ST3 | PT23 | Nov 2017 | 2943233 | 2906 | 90.34 | 38.52 | 518829 | 56 | 5, 1, 1 |
| ICDC-LM3070 | ST201 | PT51 | Nov 2017 | 2946382 | 3000 | 90.33 | 38.66 | 556870 | 54 | 4, 0, 0 |
| ICDC-LM3071 | ST73 | PT374 | Nov 2017 | 2950638 | 3001 | 90.19 | 38.66 | 556876 | 54 | 5, 1, 1 |
| ICDC-LM3072 | ST145 | PT33 | Nov 2017 | 2924253 | 2896 | 90.24 | 38.44 | 331902 | 58 | 4, 1, 1 |
| ICDC-LM3073 | ST145 | PT33 | Nov 2017 | 2919296 | 2897 | 90.29 | 38.44 | 331688 | 57 | 4, 1, 1 |
| ICDC-LM3074 | ST145 | PT33 | Nov 2017 | 2957596 | 2924 | 90.1 | 38.44 | 331686 | 58 | 4, 1, 1 |
| ICDC-LM3075 | ST145 | PT33 | Nov 2017 | 2922485 | 2896 | 90.28 | 38.44 | 331688 | 54 | 4, 1, 1 |
| ICDC-LM3076 | ST145 | PT33 | Nov 2017 | 2919691 | 2888 | 90.19 | 38.44 | 331688 | 37 | 4, 1, 1 |
| ICDC-LM3077 | ST145 | PT33 | Nov 2017 | 2915558 | 2896 | 90.34 | 38.44 | 331688 | 57 | 4, 1, 0 |
| ICDC-LM3078 | ST145 | PT33 | Nov 2017 | 2919316 | 2889 | 9.32 | 38.44 | 331688 | 54 | 4, 1, 1 |
| ICDC-LM3079 | ST145 | PT33 | Nov 2017 | 2919932 | 2893 | 90.2 | 38.44 | 331688 | 56 | 4, 1, 1 |
| ICDC-LM3080 | ST145 | PT33 | Nov 2017 | 2921040 | 2894 | 90.18 | 38.44 | 331688 | 58 | 4, 1, 1 |
| ICDC-LM3081 | ST145 | PT33 | Nov 2017 | 2918738 | 2891 | 90.22 | 38.44 | 331688 | 56 | 4, 1, 1 |
| ICDC-LM3082 | ST145 | PT33 | Nov 2017 | 2922311 | 2894 | 90.29 | 38.44 | 331401 | 57 | 4, 1, 1 |
| ICDC-LM3083 | ST145 | PT33 | Nov 2017 | 2921878 | 2895 | 90.19 | 38.44 | 331495 | 57 | 4, 1, 1 |
| ICDC-LM3084 | ST2 | PT34 | Nov 2017 | 2957043 | 2967 | 90.49 | 38.41 | 339275 | 67 | 3, 1, 0 |
Figure 1.Virulence profiles across the phylogeny of 29 isolates from Dianchi Lake. The phylogenetic analysis based on SNP of core genes using Neighbor-joining method with 1000 bootstrap replicates implemented in the MEGA, and PAM55 (L. ivanovii) was used as outgroup. The presence (colour line)/ absence (grey) gene matrix represents, from left to right, genes comprised of LIPI-1 (prfA, plcA, plcB, hly, mpl, atcA), LIPI-3 (llsAGHXYDP), LIPI-4 (Clip80459_02324 to Clip80459_02329) and other genes involved in internalization (inlABCFHJK), adherence (ami, dltA, fbpA, lap, lapB), invasion (aut, iap, ipeA, recA, vip), intracellular survival (clpB, clpc, clpe, clpp, dal, fri, htrA, lplA1, oppA, perR, prsA2, pycA, relA, sipZ, sod, svpA, tig, uHpt), regulation of transcription and translation (agrA, ctsR, gmar, fur, hfq, lhrC, lisK, lisR, mogR, rli55, rli60, rsbv, sigB, stp, virR), surface protein anchoring (lgt, lsp, secA2, sipX, srtA, srtB), peptidoglycan modification (degU, murA, oatA, pgdA), immune modulation (chiA, lipA, intA, pgl, tcsA), bile-resistance (bsh, bilE), teichoic acid biosynthesis (gtcA), motility (flaA, flgC, flgE), membrane integrity (ctaP, mprF) and metabolic regulator (codY).
Figure 2.Phylogenetic trees of CCs/ STs based on SNP of core genes. Each CCs/ STs tree was analyzed using Maximum Likelihood method with 1000 bootstrap replicates implemented in the MEGA. (A) CC2 phylogenetic tree, VIMVR081 was used as reference strain. (B) ST3 phylogenetic tree, R2-502 was reference strain. (C) ST5 phylogenetic tree, J2-064 was reference strain. (D) ST14 phylogenetic tree, NRRL B-33805 was reference strain. (E) ST35 phylogenetic tree, EGD-e was reference strain. (F) ST87 phylogenetic tree, ICDC-LM188 was reference strain. (G) ST201 phylogenetic tree, M7 was reference strain. Each colour of node denotes the country which strains comes from. And isolates from black-headed gull feces, environmental swabs in Dianchi Lake and retail markets were shaded in red, green and yellow label background respectively. And the notes beside isolates represent the isolate date. Mar16, March 2016; Jan17, January 2017; Nov17, November 2017; Jan18, January 2018.
The number of SNPs between L. monocytogenes isolates from Dianchi Lake and other regions.
| Sequence type (Pulsotype, No. of strains) | Strains of retail markets in Kunming (No. of strains) | Strains of other regions of China (No. of strains) | Strains of foreign countries (No. of strains) |
|---|---|---|---|
| ST2 (PT34, 1, ICDC-LM3084) | 123 to130, median 126.6 (2) | – | 52–150, median 103 (53) |
| ST3 (PT351, 1, ICDC-LM1866) | 98–117, median 107.5 (2) | 93 (1) | 74–170, median 93.5 (38) |
| ST3 (PT23, 1, ICDC-LM3069) | 62–141, median 101.5 (2) | 136 (1) | 93–189, median 122 (38) |
| ST5 (PT22, 1, ICDC-LM1874) | 83, median 83 (2) | – | 58–233, median 119 (90) |
| ST5 (PT369,1, ICDC-LM3066) | 8–9, median 8.5 (2) | – | 89–262, median 150 (90) |
| ST14 (PT261, 1, ICDC-LM3068) | – | 26 (1) | 33–98, median 78 (13) |
| ST35 (PT59, 3) | – | – | 4–11, median 8 (1) |
| ST87 (PT30, 1, ICDC-LM3065) | 25–35, median 29 (4) | 26–32, median 23.5 (4) | 28–58, median 32 (16) |
| ST145 (PT33, 13) | – | 2–3, median 2 (1) | 8–9, median 8 (1) |
| ST201 (PT51, 5) | – | 15–19, median 16 (1) | 8–14, median 10.5 (2) |
Figure 3.Migratory map of black-headed gulls from Kunming. The migratory information comes from International Union for Conservation of Nature, IUCN (https://www.iucnredlist.org/species/22694420/132548687#assessment-information) and Kunming Institute of Zoology, Chinese academy of sciences (http://www.kiz.cas.cn/xwzx/news5/201706/t20170623_4817599.html). Different shades of yellow on geographic range denote the black-headed gulls’ scope of activity. Phylogenetic trees of ST5, ST87 and ST145 were analyzed using Maximum Likelihood method with 1000 bootstrap replicates implemented in the MEGA. Each colour of node denotes the country which strains comes from, and the colours are consistent with Figure 2. The red line represents the fecal isolates which isolated from Dianchi Lake black-headed gulls; the mazarine line represents the food isolates which isolated from the retail markets proximal to Dianchi Lake; the green line represents the Russian isolate; the wathet line represents the clinical isolate which isolated from Hebei province.