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      Increased incompatibility of heterologous algal symbionts under thermal stress in the cnidarian-dinoflagellate model Aiptasia

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          Abstract

          Rising ocean temperatures are increasing the rate and intensity of coral mass bleaching events, leading to the collapse of coral reef ecosystems. To better understand the dynamics of coral-algae symbioses, it is critical to decipher the role each partner plays in the holobiont’s thermotolerance. Here, we investigated the role of the symbiont by comparing transcriptional heat stress responses of anemones from two thermally distinct locations, Florida (CC7) and Hawaii (H2) as well as a heterologous host-symbiont combination composed of CC7 host anemones inoculated with the symbiont Breviolum minutum (SSB01) from H2 anemones (CC7-B01). We find that oxidative stress and apoptosis responses are strongly influenced by symbiont type, as further confirmed by caspase-3 activation assays, but that the overall response to heat stress is dictated by the compatibility of both partners. Expression of genes essential to symbiosis revealed a shift from a nitrogen- to a carbon-limited state only in the heterologous combination CC7-B01, suggesting a bioenergetic disruption of symbiosis during stress. Our results indicate that symbiosis is highly fine-tuned towards particular partner combinations and that heterologous host-symbiont combinations are metabolically less compatible under stress. These results are essential for future strategies aiming at increasing coral resilience using heterologous thermotolerant symbionts.

          Abstract

          Algal symbionts are demonstrated to improve heat-stress tolerance in anemone hosts only when the two partners are closely compatible.

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          Near-optimal probabilistic RNA-seq quantification.

          We present kallisto, an RNA-seq quantification program that is two orders of magnitude faster than previous approaches and achieves similar accuracy. Kallisto pseudoaligns reads to a reference, producing a list of transcripts that are compatible with each read while avoiding alignment of individual bases. We use kallisto to analyze 30 million unaligned paired-end RNA-seq reads in <10 min on a standard laptop computer. This removes a major computational bottleneck in RNA-seq analysis.
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            Apoptosis: a review of programmed cell death.

            The process of programmed cell death, or apoptosis, is generally characterized by distinct morphological characteristics and energy-dependent biochemical mechanisms. Apoptosis is considered a vital component of various processes including normal cell turnover, proper development and functioning of the immune system, hormone-dependent atrophy, embryonic development and chemical-induced cell death. Inappropriate apoptosis (either too little or too much) is a factor in many human conditions including neurodegenerative diseases, ischemic damage, autoimmune disorders and many types of cancer. The ability to modulate the life or death of a cell is recognized for its immense therapeutic potential. Therefore, research continues to focus on the elucidation and analysis of the cell cycle machinery and signaling pathways that control cell cycle arrest and apoptosis. To that end, the field of apoptosis research has been moving forward at an alarmingly rapid rate. Although many of the key apoptotic proteins have been identified, the molecular mechanisms of action or inaction of these proteins remain to be elucidated. The goal of this review is to provide a general overview of current knowledge on the process of apoptosis including morphology, biochemistry, the role of apoptosis in health and disease, detection methods, as well as a discussion of potential alternative forms of apoptosis.
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              Differential analysis of RNA-seq incorporating quantification uncertainty

              By using bootstraps that estimate inferential variance, the sleuth method and software provide fast and highly accurate differential gene expression analysis in an interactive Shiny app.
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                Author and article information

                Contributors
                manuel.aranda@kaust.edu.sa
                Journal
                Commun Biol
                Commun Biol
                Communications Biology
                Nature Publishing Group UK (London )
                2399-3642
                28 July 2022
                28 July 2022
                2022
                : 5
                : 760
                Affiliations
                [1 ]GRID grid.45672.32, ISNI 0000 0001 1926 5090, Marine Science Program, Biological and Environmental Sciences and Engineering Division, , King Abdullah University of Science and Technology (KAUST), ; Thuwal, 23955-6900 Kingdom of Saudi Arabia
                [2 ]GRID grid.45672.32, ISNI 0000 0001 1926 5090, Red Sea Research Center, , King Abdullah University of Science and Technology (KAUST), ; Thuwal, 23955-6900 Kingdom of Saudi Arabia
                [3 ]Present Address: CSIRO Health & Biosecurity, North Ryde, NSW Australia
                Author information
                http://orcid.org/0000-0003-4951-1883
                http://orcid.org/0000-0001-6673-016X
                Article
                3724
                10.1038/s42003-022-03724-y
                9334593
                35902758
                170d48c8-4b24-4ae7-8509-8d6ec0b3ad50
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 31 August 2021
                : 15 July 2022
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                © The Author(s) 2022

                climate-change ecology,gene expression
                climate-change ecology, gene expression

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