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The Coral Holobiont Under Temperature Change and the Role of Local Acclimatization.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The Coral Holobiont Under Temperature Change and the Role of Local Acclimatization./
作者:	Lima, Lais Farias Oliveira.
面頁冊數:	1 online resource (137 pages)
附註:	Source: Dissertations Abstracts International, Volume: 85-01, Section: B.
Contained By:	Dissertations Abstracts International85-01B.
標題:	Ecology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30568912click for full text (PQDT)
ISBN:	9798379823092

The Coral Holobiont Under Temperature Change and the Role of Local Acclimatization.
Lima, Lais Farias Oliveira.

The Coral Holobiont Under Temperature Change and the Role of Local Acclimatization. - 1 online resource (137 pages)

Source: Dissertations Abstracts International, Volume: 85-01, Section: B.

Thesis (Ph.D.)--San Diego State University, 2023.

Includes bibliographical references

Host-associated microbial communities are shaped by extrinsic and intrinsic factors to the holobiont organism. Environmental factors and microbe-microbe interactions act simultaneously on the microbial community structure, making the microbiome dynamics challenging to predict. The coral microbiome is essential to the health of coral reefs and sensitive to environmental changes. Here, we develop a dynamic model to determine the microbial community structure associated with the surface mucus layer (SML) of corals using temperature as an extrinsic factor and microbial network as an intrinsic factor. The model was validated by comparing the predicted relative abundances of microbial taxa to the relative abundances of microbial taxa from the sample data. The SML microbiome from Pseudodiploria strigosa was collected across reef zones in Bermuda, where inner and outer reefs are exposed to distinct thermal profiles. Shotgun metagenomics was used to describe the taxonomic composition and the microbial network of the coral SML microbiome. By simulating the annual temperature fluctuations at each reef zone, the model output is statistically identical to the observed data. The model was further applied to six scenarios that combined different profiles of temperature and microbial network, to investigate the influence of each of these two factors on the model accuracy. The SML microbiome was best predicted by model scenarios with the temperature profile that was closest to the local thermal environment, regardless of microbial network profile. Our model shows that the SML microbiome of P. strigosa in Bermuda is primarily structured by seasonal fluctuations in temperature at reef-scale, while the microbial network is a secondary driver.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798379823092Subjects--Topical Terms:

516476
Ecology.
Subjects--Index Terms:

Local acclimatizationIndex Terms--Genre/Form:

542853
Electronic books.

The Coral Holobiont Under Temperature Change and the Role of Local Acclimatization.
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538 $a Mode of access: World Wide Web
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