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      Agavin induces beneficial microbes in the shrimp microbiota under farming conditions

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          Abstract

          Prebiotics and probiotics have shown a number of beneficial impacts preventing diseases in cultured shrimps. Complex soluble carbohydrates are considered ideal for fostering microbiota biodiversity by fermentable oligosaccharides, disaccharides, monosaccharides, and polyols (FODMAPS). Here we evaluated the growth performance and microbiota composition of the white shrimp Litopenaeus vannamei after dietary intervention using agavin as a FODMAP prebiotic under farming conditions. Adult L. vannamei were raised at a shrimp farm and the effect of agavin supplemented at 2% (AG2) or 10% (AG10) levels were compared to an agavin-free basal diet (BD). After 28 days-trial, the feed conversion ratio, total feed ingested, and protein efficiency ratio was significantly improved on animals fed with AG2. At the same time, no effect on growth performance was observed in AG10. Surprisingly, after sequencing the V3–V4 regions of the 16S rRNA gene a higher microbial richness and diversity in the hepatopancreas and intestine was found only in those animals receiving the AG10 diet, while those receiving the AG2 diet had a decreased richness and diversity, both diets compared to the BD. The beta diversity analysis showed a clear significant microbiota clustering by agavin diets only in the hepatopancreas, suggesting that agavin supplementation had a more substantial deterministic effect on the microbiota of hepatopancreas than on the intestine. We analyzed the literature to search beneficial microbes for shrimp’s health and found sequences for 42 species in our 16S data, being significantly increased Lactobacillus pentosus, Pseudomonas putida and Pseudomonas synxantha in the hepatopancreas of the AG10 and Rodopseudomonas palustris and Streptococcus thermophiles th1435 in the hepatopancreas of the AG2, both compared to BD. Interestingly, when we analyzed the abundance of 42 beneficial microbes as a single microbial community "meta-community," found an increase in their abundance as agavin concentration increases in the hepatopancreas. In addition, we also sequenced the DNA of agavin and found 9 of the 42 beneficial microbes. From those, Lactobacillus lactis and Lactobacillus delbrueckii were found in shrimps fed with agavin (both AG2 and AG10), and Lysinibacillus fusiformis in AG10 and they were absent the BD diet, suggesting these three species could be introduced with the agavin to the diet. Our work provides evidence that agavin supplementation is associated with an increase of beneficial microbes for the shrimp microbiota at farming conditions. Our study provides the first evidence that a shrimp prebiotic may selectively modify the microbiota in an organ-dependent effect.

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          Ror2 signaling regulates Golgi structure and transport through IFT20 for tumor invasiveness

          Signaling through the Ror2 receptor tyrosine kinase promotes invadopodia formation for tumor invasion. Here, we identify intraflagellar transport 20 (IFT20) as a new target of this signaling in tumors that lack primary cilia, and find that IFT20 mediates the ability of Ror2 signaling to induce the invasiveness of these tumors. We also find that IFT20 regulates the nucleation of Golgi-derived microtubules by affecting the GM130-AKAP450 complex, which promotes Golgi ribbon formation in achieving polarized secretion for cell migration and invasion. Furthermore, IFT20 promotes the efficiency of transport through the Golgi complex. These findings shed new insights into how Ror2 signaling promotes tumor invasiveness, and also advance the understanding of how Golgi structure and transport can be regulated.
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            From Dietary Fiber to Host Physiology: Short-Chain Fatty Acids as Key Bacterial Metabolites.

            A compelling set of links between the composition of the gut microbiota, the host diet, and host physiology has emerged. Do these links reflect cause-and-effect relationships, and what might be their mechanistic basis? A growing body of work implicates microbially produced metabolites as crucial executors of diet-based microbial influence on the host. Here, we will review data supporting the diverse functional roles carried out by a major class of bacterial metabolites, the short-chain fatty acids (SCFAs). SCFAs can directly activate G-coupled-receptors, inhibit histone deacetylases, and serve as energy substrates. They thus affect various physiological processes and may contribute to health and disease.
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              Richness of human gut microbiome correlates with metabolic markers.

              We are facing a global metabolic health crisis provoked by an obesity epidemic. Here we report the human gut microbial composition in a population sample of 123 non-obese and 169 obese Danish individuals. We find two groups of individuals that differ by the number of gut microbial genes and thus gut bacterial richness. They contain known and previously unknown bacterial species at different proportions; individuals with a low bacterial richness (23% of the population) are characterized by more marked overall adiposity, insulin resistance and dyslipidaemia and a more pronounced inflammatory phenotype when compared with high bacterial richness individuals. The obese individuals among the lower bacterial richness group also gain more weight over time. Only a few bacterial species are sufficient to distinguish between individuals with high and low bacterial richness, and even between lean and obese participants. Our classifications based on variation in the gut microbiome identify subsets of individuals in the general white adult population who may be at increased risk of progressing to adiposity-associated co-morbidities.
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                Author and article information

                Contributors
                adrian.ochoa@ibt.unam.mx
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                16 April 2022
                16 April 2022
                2022
                : 12
                : 6392
                Affiliations
                [1 ]GRID grid.9486.3, ISNI 0000 0001 2159 0001, Departamento de Microbiología Molecular, Instituto de Biotecnología (IBT), , Universidad Nacional Autónoma de México (UNAM), ; Av. Universidad #2001, Col. Chamilpa, 62210 Cuernavaca, MOR Mexico
                [2 ]GRID grid.11893.32, ISNI 0000 0001 2193 1646, Departamento de Ciencias Químico Biológicas, , Universidad de Sonora (UNISON), ; Blvd., Rosales y Luis Encinas, 83000 Hermosillo, SON Mexico
                [3 ]GRID grid.412852.8, ISNI 0000 0001 2192 0509, Instituto de Investigaciones Oceanológicas, , Universidad Autónoma de Baja California (UABC), ; Km 107 carretera Tijuana/Ensenada, 22860 Ensenada, BC Mexico
                [4 ]GRID grid.428474.9, ISNI 0000 0004 1776 9385, Laboratorio de Estructura Biomolecular, , Centro de Investigación en Alimentación y Desarrollo, A.C. (CIAD), ; Carretera Gustavo Enrique Astiazarán Rosas Num. 46, Col. La Victoria, 83304 Hermosillo, SON Mexico
                [5 ]Camarones El Renacimiento SPR de RI, Justino Rubio No. 26, Col Ejidal, 81330 Higuera de Zaragoza, SIN Mexico
                [6 ]GRID grid.9486.3, ISNI 0000 0001 2159 0001, Departamento de Ingeniería Celular y Biocatálisis, Instituto de Biotecnología, , UNAM, ; Avenida Universidad 2001, Col. Chamilpa, 62420 Cuernavaca, MOR Mexico
                Article
                10442
                10.1038/s41598-022-10442-2
                9013378
                35430601
                d8e39b81-191f-4274-9b4d-23be402839b7
                © 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 28 November 2021
                : 30 March 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003141, Consejo Nacional de Ciencia y Tecnología;
                Award ID: Ciencia-Frontera-2019-263986
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100005739, Universidad Nacional Autónoma de México;
                Award ID: DGAPA PAPPIT UNAM, IN215520
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2022

                Uncategorized
                dna,microbial communities,environmental microbiology,biochemistry,microbiology,molecular biology

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