Bloodmeal host identification with inferences to feeding habits of a fish-fed mosquito, Aedes baisasi View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Takashi Miyake, Natsuki Aihara, Ken Maeda, Chuya Shinzato, Ryo Koyanagi, Hirozumi Kobayashi, Kazunori Yamahira

ABSTRACT

The mosquito, Aedes baisasi, which inhabits brackish mangrove swamps, is known to feed on fish. However, its host assemblage has not been investigated at the species level. We amplified and sequenced the cytochrome oxidase subunit I barcoding regions as well as some other regions from blood-fed females to identify host assemblages in the natural populations from four islands in the Ryukyu Archipelago. Hosts were identified from 230 females. We identified 15 host fish species belonging to eight families and four orders. Contrary to expectations from previous observations, mudskippers were detected from only 3% of blood-engorged females. The dominant host was a four-eyed sleeper, Bostrychus sinensis (Butidae, Gobiiformes), in Iriomote-jima Island (61%), while it was a snake eel, Pisodonophis boro (Ophichthidae, Anguilliformes), in Amami-oshima and Okinawa-jima islands (78% and 79%, respectively). Most of the identified hosts were known as air-breathing or amphibious fishes that inhabit mangroves or lagoons. Our results suggest that A. baisasi females locate the bloodmeal hosts within the mangrove forests and sometimes in the adjacent lagoons and land on the surface of available amphibious or other air-breathing fishes exposed in the air to feed on their blood. More... »

PAGES

4002

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-019-40509-6

DOI

http://dx.doi.org/10.1038/s41598-019-40509-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112641539

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30850720


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

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/2008/0602", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Ecology", 
        "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": "Gifu University", 
          "id": "https://www.grid.ac/institutes/grid.256342.4", 
          "name": [
            "Faculty of Education, Gifu University, 501-1193, Gifu, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Miyake", 
        "givenName": "Takashi", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Gifu University", 
          "id": "https://www.grid.ac/institutes/grid.256342.4", 
          "name": [
            "Faculty of Education, Gifu University, 501-1193, Gifu, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Aihara", 
        "givenName": "Natsuki", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Okinawa Institute of Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.250464.1", 
          "name": [
            "Okinawa Institute of Science and Technology Graduate University (OIST), 904-0495, Onna, Okinawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Maeda", 
        "givenName": "Ken", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokyo", 
          "id": "https://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Atmosphere and Ocean Research Institute, The University of Tokyo, 277-8564, Chiba, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shinzato", 
        "givenName": "Chuya", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Okinawa Institute of Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.250464.1", 
          "name": [
            "Okinawa Institute of Science and Technology Graduate University (OIST), 904-0495, Onna, Okinawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Koyanagi", 
        "givenName": "Ryo", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of the Ryukyus", 
          "id": "https://www.grid.ac/institutes/grid.267625.2", 
          "name": [
            "Graduate School of Engineering and Science, University of the Ryukyus, 903-0213, Nishihara, Okinawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kobayashi", 
        "givenName": "Hirozumi", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of the Ryukyus", 
          "id": "https://www.grid.ac/institutes/grid.267625.2", 
          "name": [
            "Tropical Biosphere Research Center, University of the Ryukyus, 903-0213, Nishihara, Okinawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamahira", 
        "givenName": "Kazunori", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.3109/19401736.2012.710226", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000028376"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7601/mez.62.53", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001244555"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.2307/1353079", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001572031", 
          "https://doi.org/10.2307/1353079"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1095-8649.2002.tb02446.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003757392"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4020-6666-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007155557", 
          "https://doi.org/10.1007/978-1-4020-6666-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4020-6666-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007155557", 
          "https://doi.org/10.1007/978-1-4020-6666-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00436-010-2123-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008180576", 
          "https://doi.org/10.1007/s00436-010-2123-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00436-010-2123-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008180576", 
          "https://doi.org/10.1007/s00436-010-2123-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2915.2008.00760.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008625875"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1756-3305-5-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009272846", 
          "https://doi.org/10.1186/1756-3305-5-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ympev.2013.07.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012525393"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ympev.2005.05.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017678802"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btp348", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020601630"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev-ento-120811-153618", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022613780"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7601/mez.55.107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024515035"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00227-009-1210-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029759581", 
          "https://doi.org/10.1007/s00227-009-1210-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rspb.2002.2218", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030057572"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1948-7134.2012.00196.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030186943"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00414-006-0113-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032609191", 
          "https://doi.org/10.1007/s00414-006-0113-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00414-006-0113-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032609191", 
          "https://doi.org/10.1007/s00414-006-0113-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/evo.12971", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034683826"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/mve.12108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034979764"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/jfb.12279", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036029015"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.pt.2009.01.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036891664"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jmedent/44.5.869", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037064338"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jembe.2011.05.032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037201132"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-0981(95)00160-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039697938"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0007092", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041289707"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.resp.2006.04.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042865604"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bts174", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044126939"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/molbev/mst010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045545793"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s003600100184", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046169310", 
          "https://doi.org/10.1007/s003600100184"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1475-2875-12-109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048371450", 
          "https://doi.org/10.1186/1475-2875-12-109"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rsos.150088", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049755538"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1007584406324", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051496587", 
          "https://doi.org/10.1023/a:1007584406324"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00442-016-3593-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051994368", 
          "https://doi.org/10.1007/s00442-016-3593-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jmedent/2.1.16", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059807981"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1603/0022-2585-39.5.777", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068118433"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1442464", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069498337"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2987/11-6123.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070954478"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2144/00291bm09", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074672166"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1076868139", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4269/ajtmh.2004.71.272", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1076895207"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/691155", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084171227"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.24200/squjs.vol14iss0pp9-15", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085316121"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "The mosquito, Aedes baisasi, which inhabits brackish mangrove swamps, is known to feed on fish. However, its host assemblage has not been investigated at the species level. We amplified and sequenced the cytochrome oxidase subunit I barcoding regions as well as some other regions from blood-fed females to identify host assemblages in the natural populations from four islands in the Ryukyu Archipelago. Hosts were identified from 230 females. We identified 15 host fish species belonging to eight families and four orders. Contrary to expectations from previous observations, mudskippers were detected from only 3% of blood-engorged females. The dominant host was a four-eyed sleeper, Bostrychus sinensis (Butidae, Gobiiformes), in Iriomote-jima Island (61%), while it was a snake eel, Pisodonophis boro (Ophichthidae, Anguilliformes), in Amami-oshima and Okinawa-jima islands (78% and 79%, respectively). Most of the identified hosts were known as air-breathing or amphibious fishes that inhabit mangroves or lagoons. Our results suggest that A. baisasi females locate the bloodmeal hosts within the mangrove forests and sometimes in the adjacent lagoons and land on the surface of available amphibious or other air-breathing fishes exposed in the air to feed on their blood.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41598-019-40509-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "9"
      }
    ], 
    "name": "Bloodmeal host identification with inferences to feeding habits of a fish-fed mosquito, Aedes baisasi", 
    "pagination": "4002", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "38371263332d6d648ff80867e3434bcdec67dde47ec5a0a801dc22f11fee4795"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30850720"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-019-40509-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112641539"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-019-40509-6", 
      "https://app.dimensions.ai/details/publication/pub.1112641539"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:18", 
    "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/v90/0000000368_0000000368/records_78938_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41598-019-40509-6"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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.10.1038/s41598-019-40509-6'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-40509-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-40509-6'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-40509-6'


 

This table displays all metadata directly associated to this object as RDF triples.

248 TRIPLES      21 PREDICATES      71 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-019-40509-6 schema:about anzsrc-for:06
2 anzsrc-for:0602
3 schema:author Na631b944833247fa9a2940b694402753
4 schema:citation sg:pub.10.1007/978-1-4020-6666-5
5 sg:pub.10.1007/s00227-009-1210-5
6 sg:pub.10.1007/s003600100184
7 sg:pub.10.1007/s00414-006-0113-y
8 sg:pub.10.1007/s00436-010-2123-4
9 sg:pub.10.1007/s00442-016-3593-6
10 sg:pub.10.1023/a:1007584406324
11 sg:pub.10.1186/1475-2875-12-109
12 sg:pub.10.1186/1756-3305-5-1
13 sg:pub.10.2307/1353079
14 https://app.dimensions.ai/details/publication/pub.1076868139
15 https://doi.org/10.1016/0022-0981(95)00160-3
16 https://doi.org/10.1016/j.jembe.2011.05.032
17 https://doi.org/10.1016/j.pt.2009.01.005
18 https://doi.org/10.1016/j.resp.2006.04.003
19 https://doi.org/10.1016/j.ympev.2005.05.004
20 https://doi.org/10.1016/j.ympev.2013.07.017
21 https://doi.org/10.1086/691155
22 https://doi.org/10.1093/bioinformatics/btp348
23 https://doi.org/10.1093/bioinformatics/bts174
24 https://doi.org/10.1093/jmedent/2.1.16
25 https://doi.org/10.1093/jmedent/44.5.869
26 https://doi.org/10.1093/molbev/mst010
27 https://doi.org/10.1098/rsos.150088
28 https://doi.org/10.1098/rspb.2002.2218
29 https://doi.org/10.1111/evo.12971
30 https://doi.org/10.1111/j.1095-8649.2002.tb02446.x
31 https://doi.org/10.1111/j.1365-2915.2008.00760.x
32 https://doi.org/10.1111/j.1948-7134.2012.00196.x
33 https://doi.org/10.1111/jfb.12279
34 https://doi.org/10.1111/mve.12108
35 https://doi.org/10.1146/annurev-ento-120811-153618
36 https://doi.org/10.1371/journal.pone.0007092
37 https://doi.org/10.1603/0022-2585-39.5.777
38 https://doi.org/10.2144/00291bm09
39 https://doi.org/10.2307/1442464
40 https://doi.org/10.24200/squjs.vol14iss0pp9-15
41 https://doi.org/10.2987/11-6123.1
42 https://doi.org/10.3109/19401736.2012.710226
43 https://doi.org/10.4269/ajtmh.2004.71.272
44 https://doi.org/10.7601/mez.55.107
45 https://doi.org/10.7601/mez.62.53
46 schema:datePublished 2019-12
47 schema:datePublishedReg 2019-12-01
48 schema:description The mosquito, Aedes baisasi, which inhabits brackish mangrove swamps, is known to feed on fish. However, its host assemblage has not been investigated at the species level. We amplified and sequenced the cytochrome oxidase subunit I barcoding regions as well as some other regions from blood-fed females to identify host assemblages in the natural populations from four islands in the Ryukyu Archipelago. Hosts were identified from 230 females. We identified 15 host fish species belonging to eight families and four orders. Contrary to expectations from previous observations, mudskippers were detected from only 3% of blood-engorged females. The dominant host was a four-eyed sleeper, Bostrychus sinensis (Butidae, Gobiiformes), in Iriomote-jima Island (61%), while it was a snake eel, Pisodonophis boro (Ophichthidae, Anguilliformes), in Amami-oshima and Okinawa-jima islands (78% and 79%, respectively). Most of the identified hosts were known as air-breathing or amphibious fishes that inhabit mangroves or lagoons. Our results suggest that A. baisasi females locate the bloodmeal hosts within the mangrove forests and sometimes in the adjacent lagoons and land on the surface of available amphibious or other air-breathing fishes exposed in the air to feed on their blood.
49 schema:genre research_article
50 schema:inLanguage en
51 schema:isAccessibleForFree true
52 schema:isPartOf N9d2d52614598486e8fc07c9afd3adb28
53 Ndc72d3f54dc740c79ceb2647a17a51eb
54 sg:journal.1045337
55 schema:name Bloodmeal host identification with inferences to feeding habits of a fish-fed mosquito, Aedes baisasi
56 schema:pagination 4002
57 schema:productId N311d81cce5e8433b89ef9d325a6d8faa
58 N71e90f41185346fab71008bc6723a33e
59 N852c15405c8c48ffb7905729a176ea86
60 Nede67fb9ab454e32ab8676b77ae0df9d
61 Nf37dc9b2200c496a9fd03169f9daa01b
62 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112641539
63 https://doi.org/10.1038/s41598-019-40509-6
64 schema:sdDatePublished 2019-04-11T13:18
65 schema:sdLicense https://scigraph.springernature.com/explorer/license/
66 schema:sdPublisher N7ac11e4f154c4652a2dc6ac6048c0e05
67 schema:url https://www.nature.com/articles/s41598-019-40509-6
68 sgo:license sg:explorer/license/
69 sgo:sdDataset articles
70 rdf:type schema:ScholarlyArticle
71 N0d7f79901b854e1098aa45cbb0536a88 schema:affiliation https://www.grid.ac/institutes/grid.250464.1
72 schema:familyName Maeda
73 schema:givenName Ken
74 rdf:type schema:Person
75 N161d50710752497aa5444fda680e268d schema:affiliation https://www.grid.ac/institutes/grid.256342.4
76 schema:familyName Miyake
77 schema:givenName Takashi
78 rdf:type schema:Person
79 N23df4a79ca7347ac8eb03f9f85788af2 rdf:first N0d7f79901b854e1098aa45cbb0536a88
80 rdf:rest N96371078e99041649225559630c5eddb
81 N3056d61014e44665b8db26e24033fa40 rdf:first N4756434a11fa43528766af147f46b507
82 rdf:rest N6052bb3f984a42528710d5a3447d9dc7
83 N311d81cce5e8433b89ef9d325a6d8faa schema:name readcube_id
84 schema:value 38371263332d6d648ff80867e3434bcdec67dde47ec5a0a801dc22f11fee4795
85 rdf:type schema:PropertyValue
86 N385adf10f56947c69c37ad652a8f1f48 schema:affiliation https://www.grid.ac/institutes/grid.250464.1
87 schema:familyName Koyanagi
88 schema:givenName Ryo
89 rdf:type schema:Person
90 N4756434a11fa43528766af147f46b507 schema:affiliation https://www.grid.ac/institutes/grid.267625.2
91 schema:familyName Kobayashi
92 schema:givenName Hirozumi
93 rdf:type schema:Person
94 N6052bb3f984a42528710d5a3447d9dc7 rdf:first Nf1d9e750ba2a4bc29c7680aead61f82c
95 rdf:rest rdf:nil
96 N64f5cee7045c4ae7aeb308353d8c4f90 rdf:first N385adf10f56947c69c37ad652a8f1f48
97 rdf:rest N3056d61014e44665b8db26e24033fa40
98 N71e90f41185346fab71008bc6723a33e schema:name nlm_unique_id
99 schema:value 101563288
100 rdf:type schema:PropertyValue
101 N78c618e312a54784a58a64b8e3cd8e58 schema:affiliation https://www.grid.ac/institutes/grid.256342.4
102 schema:familyName Aihara
103 schema:givenName Natsuki
104 rdf:type schema:Person
105 N7ac11e4f154c4652a2dc6ac6048c0e05 schema:name Springer Nature - SN SciGraph project
106 rdf:type schema:Organization
107 N852c15405c8c48ffb7905729a176ea86 schema:name dimensions_id
108 schema:value pub.1112641539
109 rdf:type schema:PropertyValue
110 N96371078e99041649225559630c5eddb rdf:first Nbc0d7dc914ba4b13b897f58da755657d
111 rdf:rest N64f5cee7045c4ae7aeb308353d8c4f90
112 N9d2d52614598486e8fc07c9afd3adb28 schema:volumeNumber 9
113 rdf:type schema:PublicationVolume
114 N9d868b30b1db4555bf07e20dc03cc340 rdf:first N78c618e312a54784a58a64b8e3cd8e58
115 rdf:rest N23df4a79ca7347ac8eb03f9f85788af2
116 Na631b944833247fa9a2940b694402753 rdf:first N161d50710752497aa5444fda680e268d
117 rdf:rest N9d868b30b1db4555bf07e20dc03cc340
118 Nbc0d7dc914ba4b13b897f58da755657d schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
119 schema:familyName Shinzato
120 schema:givenName Chuya
121 rdf:type schema:Person
122 Ndc72d3f54dc740c79ceb2647a17a51eb schema:issueNumber 1
123 rdf:type schema:PublicationIssue
124 Nede67fb9ab454e32ab8676b77ae0df9d schema:name doi
125 schema:value 10.1038/s41598-019-40509-6
126 rdf:type schema:PropertyValue
127 Nf1d9e750ba2a4bc29c7680aead61f82c schema:affiliation https://www.grid.ac/institutes/grid.267625.2
128 schema:familyName Yamahira
129 schema:givenName Kazunori
130 rdf:type schema:Person
131 Nf37dc9b2200c496a9fd03169f9daa01b schema:name pubmed_id
132 schema:value 30850720
133 rdf:type schema:PropertyValue
134 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
135 schema:name Biological Sciences
136 rdf:type schema:DefinedTerm
137 anzsrc-for:0602 schema:inDefinedTermSet anzsrc-for:
138 schema:name Ecology
139 rdf:type schema:DefinedTerm
140 sg:journal.1045337 schema:issn 2045-2322
141 schema:name Scientific Reports
142 rdf:type schema:Periodical
143 sg:pub.10.1007/978-1-4020-6666-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007155557
144 https://doi.org/10.1007/978-1-4020-6666-5
145 rdf:type schema:CreativeWork
146 sg:pub.10.1007/s00227-009-1210-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029759581
147 https://doi.org/10.1007/s00227-009-1210-5
148 rdf:type schema:CreativeWork
149 sg:pub.10.1007/s003600100184 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046169310
150 https://doi.org/10.1007/s003600100184
151 rdf:type schema:CreativeWork
152 sg:pub.10.1007/s00414-006-0113-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1032609191
153 https://doi.org/10.1007/s00414-006-0113-y
154 rdf:type schema:CreativeWork
155 sg:pub.10.1007/s00436-010-2123-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008180576
156 https://doi.org/10.1007/s00436-010-2123-4
157 rdf:type schema:CreativeWork
158 sg:pub.10.1007/s00442-016-3593-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051994368
159 https://doi.org/10.1007/s00442-016-3593-6
160 rdf:type schema:CreativeWork
161 sg:pub.10.1023/a:1007584406324 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051496587
162 https://doi.org/10.1023/a:1007584406324
163 rdf:type schema:CreativeWork
164 sg:pub.10.1186/1475-2875-12-109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048371450
165 https://doi.org/10.1186/1475-2875-12-109
166 rdf:type schema:CreativeWork
167 sg:pub.10.1186/1756-3305-5-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009272846
168 https://doi.org/10.1186/1756-3305-5-1
169 rdf:type schema:CreativeWork
170 sg:pub.10.2307/1353079 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001572031
171 https://doi.org/10.2307/1353079
172 rdf:type schema:CreativeWork
173 https://app.dimensions.ai/details/publication/pub.1076868139 schema:CreativeWork
174 https://doi.org/10.1016/0022-0981(95)00160-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039697938
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1016/j.jembe.2011.05.032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037201132
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1016/j.pt.2009.01.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036891664
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1016/j.resp.2006.04.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042865604
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1016/j.ympev.2005.05.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017678802
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1016/j.ympev.2013.07.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012525393
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1086/691155 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084171227
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1093/bioinformatics/btp348 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020601630
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1093/bioinformatics/bts174 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044126939
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1093/jmedent/2.1.16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059807981
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1093/jmedent/44.5.869 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037064338
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1093/molbev/mst010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045545793
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1098/rsos.150088 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049755538
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1098/rspb.2002.2218 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030057572
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1111/evo.12971 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034683826
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1111/j.1095-8649.2002.tb02446.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1003757392
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1111/j.1365-2915.2008.00760.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1008625875
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1111/j.1948-7134.2012.00196.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1030186943
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1111/jfb.12279 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036029015
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1111/mve.12108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034979764
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1146/annurev-ento-120811-153618 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022613780
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1371/journal.pone.0007092 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041289707
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1603/0022-2585-39.5.777 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068118433
219 rdf:type schema:CreativeWork
220 https://doi.org/10.2144/00291bm09 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074672166
221 rdf:type schema:CreativeWork
222 https://doi.org/10.2307/1442464 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069498337
223 rdf:type schema:CreativeWork
224 https://doi.org/10.24200/squjs.vol14iss0pp9-15 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085316121
225 rdf:type schema:CreativeWork
226 https://doi.org/10.2987/11-6123.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070954478
227 rdf:type schema:CreativeWork
228 https://doi.org/10.3109/19401736.2012.710226 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000028376
229 rdf:type schema:CreativeWork
230 https://doi.org/10.4269/ajtmh.2004.71.272 schema:sameAs https://app.dimensions.ai/details/publication/pub.1076895207
231 rdf:type schema:CreativeWork
232 https://doi.org/10.7601/mez.55.107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024515035
233 rdf:type schema:CreativeWork
234 https://doi.org/10.7601/mez.62.53 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001244555
235 rdf:type schema:CreativeWork
236 https://www.grid.ac/institutes/grid.250464.1 schema:alternateName Okinawa Institute of Science and Technology
237 schema:name Okinawa Institute of Science and Technology Graduate University (OIST), 904-0495, Onna, Okinawa, Japan
238 rdf:type schema:Organization
239 https://www.grid.ac/institutes/grid.256342.4 schema:alternateName Gifu University
240 schema:name Faculty of Education, Gifu University, 501-1193, Gifu, Japan
241 rdf:type schema:Organization
242 https://www.grid.ac/institutes/grid.267625.2 schema:alternateName University of the Ryukyus
243 schema:name Graduate School of Engineering and Science, University of the Ryukyus, 903-0213, Nishihara, Okinawa, Japan
244 Tropical Biosphere Research Center, University of the Ryukyus, 903-0213, Nishihara, Okinawa, Japan
245 rdf:type schema:Organization
246 https://www.grid.ac/institutes/grid.26999.3d schema:alternateName University of Tokyo
247 schema:name Atmosphere and Ocean Research Institute, The University of Tokyo, 277-8564, Chiba, Japan
248 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...