Evidence map›Paper›PMID 29257089›Full record

ArticleInsects2017

The Native Hawaiian Insect Microbiome Initiative: A Critical Perspective for Hawaiian Insect Evolution.

Kirsten E Poff, Heather Stever, Jonathan B Reil, Priscilla Seabourn, Alexander J Ching, Sayaka Aoki, Mitchel Logan, Jennifer R Michalski, Jessika Santamaria, Jesse W Adams and 5 more

Abstract read
In one paragraph

Article in Insects, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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  10. Bacterial Composition, Community Structure, and Diversity inInternational journal of microbiology · 2020
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Kirsten E PoffDepartment of Plant and Environmental Protections Sciences, University of Hawaii at Manoa, 2500 Campus Rd., Honolulu, HI 96822, USA. kepoff@hawaii.edu.
Heather SteverDepartment of Plant and Environmental Protections Sciences, University of Hawaii at Manoa, 2500 Campus Rd., Honolulu, HI 96822, USA. hstever@hawaii.edu.
Jonathan B ReilDepartment of Plant and Environmental Protections Sciences, University of Hawaii at Manoa, 2500 Campus Rd., Honolulu, HI 96822, USA. jbreil@hawaii.edu.
Priscilla SeabournDepartment of Plant and Environmental Protections Sciences, University of Hawaii at Manoa, 2500 Campus Rd., Honolulu, HI 96822, USA. pseabour@hawaii.edu.
Alexander J ChingDepartment of Plant and Environmental Protections Sciences, University of Hawaii at Manoa, 2500 Campus Rd., Honolulu, HI 96822, USA. aching2@hawaii.edu.
Sayaka AokiDepartment of Plant and Environmental Protections Sciences, University of Hawaii at Manoa, 2500 Campus Rd., Honolulu, HI 96822, USA. sayakaa@hawaii.edu.
Mitchel LoganDepartment of Plant and Environmental Protections Sciences, University of Hawaii at Manoa, 2500 Campus Rd., Honolulu, HI 96822, USA. loganm8@hawaii.edu.
Jennifer R MichalskiDepartment of Plant and Environmental Protections Sciences, University of Hawaii at Manoa, 2500 Campus Rd., Honolulu, HI 96822, USA. jrmichal@hawaii.edu.
Jessika SantamariaDepartment of Plant and Environmental Protections Sciences, University of Hawaii at Manoa, 2500 Campus Rd., Honolulu, HI 96822, USA. jsantama@hawaii.edu.
Jesse W AdamsDepartment of Botany, University of Hawaii at Manoa, 2500 Campus Rd., Honolulu, HI 96822, USA. jwadams@hawaii.edu.
Jesse A EibenCollege of Agriculture, Forestry and Natural Resource Management, University of Hawaii at Hilo, 200 W Kawili St., Hilo, HI 96720, USA. eiben@hawaii.edu.
Joanne Y YewC-MAIKI Consortium, University of Hawaii at Manoa, 1991 East-West Rd., Honolulu, HI 96822, USA. jyew@hawaii.edu.
Curtis P EwingDepartment of Plant and Environmental Protections Sciences, University of Hawaii at Manoa, 2500 Campus Rd., Honolulu, HI 96822, USA. cpe1@hawaii.edu.
Karl N MagnaccaBernice Pauahi Bishop Museum, 1525 Bernice St., Honolulu, HI 96822, USA. knm956@gmail.com.
Gordon M BennettDepartment of Plant and Environmental Protections Sciences, University of Hawaii at Manoa, 2500 Campus Rd., Honolulu, HI 96822, USA. gmb4@hawaii.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insects associate with a diversity of microbes that can shape host ecology and diversity by providing essential biological and adaptive services. For most insect groups, the evolutionary implications of host-microbe interactions remain poorly understood. Geographically discrete areas with high biodiversity offer powerful, simplified model systems to better understand insect-microbe interactions. Hawaii boasts a diverse endemic insect fauna (~6000 species) characterized by spectacular adaptive radiations. Despite this, little is known about the role of bacteria in shaping this diversity. To address this knowledge gap, we inaugurate the Native Hawaiian Insect Microbiome Initiative (NHIMI). The NHIMI is an effort intended to develop a framework for informing evolutionary and biological studies in Hawaii. To initiate this effort, we have sequenced the bacterial microbiomes of thirteen species representing iconic, endemic Hawaiian insect groups. Our results show that native Hawaiian insects associate with a diversity of bacteria that exhibit a wide phylogenetic breadth. Several groups show predictable associations with obligate microbes that permit diet specialization. Others exhibit unique ecological transitions that are correlated with shifts in their microbiomes (e.g., transition to carrion feeding from plant-feeding in

Indexed as

Hawaiian insectsinsect-microbe interactionsmicrobial ecologymicrobiomesymbiosisWolbachia

Identifiers

PMID29257089
PMCPMC5746813

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.