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      The sugar-responsive enteroendocrine neuropeptide F regulates lipid metabolism through glucagon-like and insulin-like hormones in Drosophila melanogaster

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          Abstract

          The enteroendocrine cell (EEC)-derived incretins play a pivotal role in regulating the secretion of glucagon and insulins in mammals. Although glucagon-like and insulin-like hormones have been found across animal phyla, incretin-like EEC-derived hormones have not yet been characterised in invertebrates. Here, we show that the midgut-derived hormone, neuropeptide F (NPF), acts as the sugar-responsive, incretin-like hormone in the fruit fly, Drosophila melanogaster. Secreted NPF is received by NPF receptor in the corpora cardiaca and in insulin-producing cells. NPF-NPFR signalling resulted in the suppression of the glucagon-like hormone production and the enhancement of the insulin-like peptide secretion, eventually promoting lipid anabolism. Similar to the loss of incretin function in mammals, loss of midgut NPF led to significant metabolic dysfunction, accompanied by lipodystrophy, hyperphagia, and hypoglycaemia. These results suggest that enteroendocrine hormones regulate sugar-dependent metabolism through glucagon-like and insulin-like hormones not only in mammals but also in insects.

          Abstract

          Incretin hormones regulate insulin and glucagon secretion in mammals, but similar peptides have not been characterized in invertebrates. Here the authors show that neuropeptide F functions similar to mammalian incretin in fruit flies, responding to sugar and enhancing insulin-like peptide secretion.

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            The Sequence Alignment/Map format and SAMtools

            Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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              edgeR: a Bioconductor package for differential expression analysis of digital gene expression data

              Summary: It is expected that emerging digital gene expression (DGE) technologies will overtake microarray technologies in the near future for many functional genomics applications. One of the fundamental data analysis tasks, especially for gene expression studies, involves determining whether there is evidence that counts for a transcript or exon are significantly different across experimental conditions. edgeR is a Bioconductor software package for examining differential expression of replicated count data. An overdispersed Poisson model is used to account for both biological and technical variability. Empirical Bayes methods are used to moderate the degree of overdispersion across transcripts, improving the reliability of inference. The methodology can be used even with the most minimal levels of replication, provided at least one phenotype or experimental condition is replicated. The software may have other applications beyond sequencing data, such as proteome peptide count data. Availability: The package is freely available under the LGPL licence from the Bioconductor web site (http://bioconductor.org). Contact: mrobinson@wehi.edu.au
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                Author and article information

                Contributors
                ryusuke-niwa@tara.tsukuba.ac.jp
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                10 August 2021
                10 August 2021
                2021
                : 12
                : 4818
                Affiliations
                [1 ]GRID grid.20515.33, ISNI 0000 0001 2369 4728, Life Science Center for Survival Dynamics, Tsukuba Advanced Research Alliance (TARA), , University of Tsukuba, ; Tsukuba, Ibaraki Japan
                [2 ]GRID grid.20515.33, ISNI 0000 0001 2369 4728, Graduate School of Life and Environmental Sciences, , University of Tsukuba, ; Tsukuba, Ibaraki Japan
                [3 ]GRID grid.26999.3d, ISNI 0000 0001 2151 536X, Department of Genetics, Graduate School of Pharmaceutical Sciences, , The University of Tokyo, ; Bunkyo-ku Tokyo, Japan
                [4 ]GRID grid.508743.d, Laboratory for Nutritional Biology, , RIKEN Center for Biosystems Dynamics Research, ; Kobe, Hyogo Japan
                [5 ]GRID grid.288127.6, ISNI 0000 0004 0466 9350, Genetic Strains Research Center, , National Institute of Genetics, ; Mishima Shizuoka, Japan
                [6 ]GRID grid.69566.3a, ISNI 0000 0001 2248 6943, Graduate School of Life Sciences, , Tohoku University, ; Sendai, Miyagi Japan
                [7 ]GRID grid.274841.c, ISNI 0000 0001 0660 6749, Graduate School of Pharmaceutical Sciences, , Kumamoto University, ; Kumamoto, Japan
                [8 ]GRID grid.274841.c, ISNI 0000 0001 0660 6749, Laboratory of Germline Development, Institute of Molecular Embryology and Genetics, , Kumamoto University, ; Kumamoto, Japan
                [9 ]GRID grid.258799.8, ISNI 0000 0004 0372 2033, Laboratory of Molecular Cell Biology and Development, Graduate School of Biostudies, , Kyoto University, ; Kyoto, Japan
                [10 ]GRID grid.480536.c, ISNI 0000 0004 5373 4593, AMED-PRIME, Japan Agency for Medical Research and Development Chiyoda-ku, ; Tokyo, Japan
                [11 ]GRID grid.480536.c, ISNI 0000 0004 5373 4593, AMED-CREST, Japan Agency for Medical Research and Development, Chiyoda-ku, ; Tokyo, Japan
                Author information
                http://orcid.org/0000-0001-8624-621X
                http://orcid.org/0000-0001-6506-9146
                http://orcid.org/0000-0002-8641-5818
                http://orcid.org/0000-0002-1716-455X
                Article
                25146
                10.1038/s41467-021-25146-w
                8355161
                34376687
                f82a7b6b-111a-4895-bb9b-8adec177ae1b
                © The Author(s) 2021

                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
                : 20 July 2020
                : 24 July 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001691, MEXT | Japan Society for the Promotion of Science (JSPS);
                Award ID: 18J20572
                Award ID: 26250001
                Award ID: 17H01378
                Award ID: 19H03367
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100009619, Japan Agency for Medical Research and Development (AMED);
                Award ID: 21gm6310011h9902
                Award ID: 21gm1110001h0005
                Award Recipient :
                Categories
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                © The Author(s) 2021

                Uncategorized
                fat metabolism,animal physiology
                Uncategorized
                fat metabolism, animal physiology

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