Ontology type: schema:ScholarlyArticle
2019-02-24
AUTHORSGui Zhang, Jing Yang, Xin-He Lai, Shan Lu, Dong Jin, Ji Pu, Xiangning Bai, Xuelian Luo, Yanwen Xiong, Ying Huang, Cuixia Chen, Jianguo Xu
ABSTRACTTwo Gram-stain negative, catalase positive, coccus shaped bacteria, designated 10023T and 10010, were isolated from the rectal contents of a plateau pika (Ochotona curzoniae) in Qinghai-Tibet Plateau, China. Based on 16S rRNA gene sequence analysis, phylogenetic trees showed that these two isolates (10023T, 10010) group with members of the genus Neisseria. Additionally, these two isolates exhibited high 16S rRNA gene sequence similarity with Neisseria zalophi CSL 7565T (96.98%), Neisseria wadsworthii WC 05-9715T (96.92%) and Neisseria canis ATCC 14687T (96.79%). Further phylogenetic analysis based on the rplF gene showed that these two novel strains can be easily discriminated from phylogenetically closely related species. Optimal growth was found to occur on BHI agar with 5% defibrinated sheep blood at 37 °C and growth was also observed on nutrient agar, Columbia blood agar and chocolate agar plates; however, growth was not observed on MacConkey agar after 7 days. The major cellular fatty acids of these strains were identified as C16:0 and C16:1ω7c/C16:1ω6c. The complete genome size of the type strain 10023T is 2,496,444 bp, with DNA G+C content of 54.0 mol %. The average nucleotide identity values were 73.5-79.3% between isolate 10023T and reference Neisseria spp. Based on polyphasic analysis, these isolates (10023T and 10010) are considered to represent a novel species in the genus Neisseria, for which the name Neisseria chenwenguii sp. nov. is proposed. The type strain is 10023T (= DSM 103440T = CGMCC 1.15736T). More... »
PAGES1-10
http://scigraph.springernature.com/pub.10.1007/s10482-019-01234-2
DOIhttp://dx.doi.org/10.1007/s10482-019-01234-2
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1112364885
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/30798492
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Genetics",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Biological Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Chinese Center For Disease Control and Prevention",
"id": "https://www.grid.ac/institutes/grid.198530.6",
"name": [
"State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, People\u2019s Republic of China"
],
"type": "Organization"
},
"familyName": "Zhang",
"givenName": "Gui",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Shanghai Public Health Clinical Center",
"id": "https://www.grid.ac/institutes/grid.470110.3",
"name": [
"State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, People\u2019s Republic of China",
"Shanghai Institute for Emerging and Re-emerging Infectious Diseases, Shanghai Public Health Clinical Center, 201508, Shanghai, People\u2019s Republic of China"
],
"type": "Organization"
},
"familyName": "Yang",
"givenName": "Jing",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Shangqiu Normal University",
"id": "https://www.grid.ac/institutes/grid.412544.2",
"name": [
"School of Biology and Food Science, Shangqiu Normal University, 475000, Shangqiu, Henan Province, People\u2019s Republic of China"
],
"type": "Organization"
},
"familyName": "Lai",
"givenName": "Xin-He",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Shanghai Public Health Clinical Center",
"id": "https://www.grid.ac/institutes/grid.470110.3",
"name": [
"State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, People\u2019s Republic of China",
"Shanghai Institute for Emerging and Re-emerging Infectious Diseases, Shanghai Public Health Clinical Center, 201508, Shanghai, People\u2019s Republic of China"
],
"type": "Organization"
},
"familyName": "Lu",
"givenName": "Shan",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Shanghai Public Health Clinical Center",
"id": "https://www.grid.ac/institutes/grid.470110.3",
"name": [
"State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, People\u2019s Republic of China",
"Shanghai Institute for Emerging and Re-emerging Infectious Diseases, Shanghai Public Health Clinical Center, 201508, Shanghai, People\u2019s Republic of China"
],
"type": "Organization"
},
"familyName": "Jin",
"givenName": "Dong",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Chinese Center For Disease Control and Prevention",
"id": "https://www.grid.ac/institutes/grid.198530.6",
"name": [
"State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, People\u2019s Republic of China"
],
"type": "Organization"
},
"familyName": "Pu",
"givenName": "Ji",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Shanghai Public Health Clinical Center",
"id": "https://www.grid.ac/institutes/grid.470110.3",
"name": [
"State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, People\u2019s Republic of China",
"Shanghai Institute for Emerging and Re-emerging Infectious Diseases, Shanghai Public Health Clinical Center, 201508, Shanghai, People\u2019s Republic of China"
],
"type": "Organization"
},
"familyName": "Bai",
"givenName": "Xiangning",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Chinese Center For Disease Control and Prevention",
"id": "https://www.grid.ac/institutes/grid.198530.6",
"name": [
"State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, People\u2019s Republic of China"
],
"type": "Organization"
},
"familyName": "Luo",
"givenName": "Xuelian",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Chinese Center For Disease Control and Prevention",
"id": "https://www.grid.ac/institutes/grid.198530.6",
"name": [
"State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, People\u2019s Republic of China"
],
"type": "Organization"
},
"familyName": "Xiong",
"givenName": "Yanwen",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Chinese Center For Disease Control and Prevention",
"id": "https://www.grid.ac/institutes/grid.198530.6",
"name": [
"State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, People\u2019s Republic of China"
],
"type": "Organization"
},
"familyName": "Huang",
"givenName": "Ying",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Chinese Center For Disease Control and Prevention",
"id": "https://www.grid.ac/institutes/grid.198530.6",
"name": [
"State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, People\u2019s Republic of China"
],
"type": "Organization"
},
"familyName": "Chen",
"givenName": "Cuixia",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Shanghai Public Health Clinical Center",
"id": "https://www.grid.ac/institutes/grid.470110.3",
"name": [
"State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, People\u2019s Republic of China",
"Shanghai Institute for Emerging and Re-emerging Infectious Diseases, Shanghai Public Health Clinical Center, 201508, Shanghai, People\u2019s Republic of China"
],
"type": "Organization"
},
"familyName": "Xu",
"givenName": "Jianguo",
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1093/nar/gkv1239",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003229314"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-2672.2005.02590.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009341494"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-2672.2005.02590.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009341494"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/molbev/msw054",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012564990"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1101/gr.849004",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016890117"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/nar/25.14.2938",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022791404"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/0471250953.bi0203s00",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026183986"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1128/jcm.03529-13",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034244692"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0168-9525(00)02024-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035021159"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1099/ijs.0.041731-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035178420"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nrmicro2097",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037003294",
"https://doi.org/10.1038/nrmicro2097"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nbt.3238",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040313779",
"https://doi.org/10.1038/nbt.3238"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10482-013-9920-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040564262",
"https://doi.org/10.1007/s10482-013-9920-6"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10482-013-9920-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040564262",
"https://doi.org/10.1007/s10482-013-9920-6"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pgen.1003458",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045919745"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1128/jb.01293-13",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047353792"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.0906412106",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050756122"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1099/ijs.0.000163",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060381656"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1099/ijs.0.000228",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060381718"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1099/ijs.0.022426-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060383243"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1099/ijs.0.052431-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060385405"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1099/ijsem.0.000652",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060388674"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1099/ijsem.0.001189",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060389207"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1099/ijsem.0.001237",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060389255"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1099/ijsem.0.001337",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060389355"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1099/ijsem.0.001609",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060389626"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1099/ijsem.0.001773",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060389776"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1099/ijsem.0.001884",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1086130578"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1099/ijsem.0.001851",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1086130581"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1099/ijsem.0.002148",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1091931184"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00203-018-1499-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1101340211",
"https://doi.org/10.1007/s00203-018-1499-x"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00203-018-1499-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1101340211",
"https://doi.org/10.1007/s00203-018-1499-x"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00203-018-1499-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1101340211",
"https://doi.org/10.1007/s00203-018-1499-x"
],
"type": "CreativeWork"
}
],
"datePublished": "2019-02-24",
"datePublishedReg": "2019-02-24",
"description": "Two Gram-stain negative, catalase positive, coccus shaped bacteria, designated 10023T and 10010, were isolated from the rectal contents of a plateau pika (Ochotona curzoniae) in Qinghai-Tibet Plateau, China. Based on 16S rRNA gene sequence analysis, phylogenetic trees showed that these two isolates (10023T, 10010) group with members of the genus Neisseria. Additionally, these two isolates exhibited high 16S rRNA gene sequence similarity with Neisseria zalophi CSL 7565T (96.98%), Neisseria wadsworthii WC 05-9715T (96.92%) and Neisseria canis ATCC 14687T (96.79%). Further phylogenetic analysis based on the rplF gene showed that these two novel strains can be easily discriminated from phylogenetically closely related species. Optimal growth was found to occur on BHI agar with 5% defibrinated sheep blood at 37\u00a0\u00b0C and growth was also observed on nutrient agar, Columbia blood agar and chocolate agar plates; however, growth was not observed on MacConkey agar after 7\u00a0days. The major cellular fatty acids of these strains were identified as C16:0 and C16:1\u03c97c/C16:1\u03c96c. The complete genome size of the type strain 10023T is 2,496,444\u00a0bp, with DNA G+C content of 54.0\u00a0mol\u00a0%. The average nucleotide identity values were 73.5-79.3% between isolate 10023T and reference Neisseria spp. Based on polyphasic analysis, these isolates (10023T and 10010) are considered to represent a novel species in the genus Neisseria, for which the name Neisseria chenwenguii sp. nov. is proposed. The type strain is 10023T (=\u2009DSM 103440T\u2009=\u2009CGMCC 1.15736T).",
"genre": "research_article",
"id": "sg:pub.10.1007/s10482-019-01234-2",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1017348",
"issn": [
"0003-6072",
"1572-9699"
],
"name": "Antonie van Leeuwenhoek",
"type": "Periodical"
}
],
"name": "Neisseria chenwenguii sp. nov. isolated from the rectal contents of a plateau pika (Ochotona curzoniae)",
"pagination": "1-10",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"8edc8d842cf78f376d5bac318c1a2ff567ca084db8516670bbc35153de6dc5f5"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"30798492"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"0372625"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s10482-019-01234-2"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1112364885"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s10482-019-01234-2",
"https://app.dimensions.ai/details/publication/pub.1112364885"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T09:33",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000346_0000000346/records_99812_00000005.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1007%2Fs10482-019-01234-2"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10482-019-01234-2'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10482-019-01234-2'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10482-019-01234-2'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10482-019-01234-2'
This table displays all metadata directly associated to this object as RDF triples.
226 TRIPLES
21 PREDICATES
55 URIs
18 LITERALS
7 BLANK NODES