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We measured taxonomic shifts and metabolite production of three human gut microbiomes cultured with 299 common bean cultivars under conditions that mimic the nutrient availability of the human colon. Common bean population structure (landrace and market class) had significant effects on microbiota diversity, composition, and metabolite production. Genome-wide association analysis identified seven multiple effect loci (MEL) where genetic variation in the common bean genome affected the microbiome. One MEL on chromosome \u003Ci>Pv\u003C/i>05 had impacts on the abundance of several \u003Ci>Lachnospiraceae\u003C/i> and \u003Ci>Ruminococcaceae\u003C/i>. Molecular complementation experiments suggested that variation in the biosynthesis of saponins at this MEL was the mechanism driving the variability in microbiota composition and function. This study provides innovative understanding of how genetics of common beans affects the human gut microbiome and potentially human health.  ",{"alignment":66},{"alignment":60},{"id":68,"type":55,"data":69,"tunes":71},"JmMqrOSvAJ",{"text":70},"For details: ",{"alignment":72},{"alignment":60},{"id":74,"type":55,"data":75,"tunes":76},"nY0BitiPL3",{"text":47},{"alignment":77},{"alignment":60},{"id":79,"type":55,"data":80,"tunes":82},"1TwQASIwfI",{"text":81},"Mallory J. Suhr Van Haute 1,2, Qinnan Yang 1,2,3, Nate Korth 2,4, Mary M. Happ 5, Car Reen Kok 2,4,6, Chenyong Miao 5, Jennifer L. Clarke 1,2,7, Kelsey Karnik 7,8, Kent M. Eskridge 7, Carlos A. Urrea 5, David L. Hyten 2,5, James C. Schnable 2,5, Devin J. Rose 1,2,5, Andrew K. Benson 1,2",{"alignment":83},{"alignment":60},{"id":85,"type":55,"data":86,"tunes":88},"BnthdfTqva",{"text":87},"1) Department of Food Science and Technology, University of Nebraska, Lincoln, NE, USA \u003Cbr>2) Nebraska Food for Health Center, University of Nebraska, Lincoln, NE, USA\u003Cbr>3) Department of Microbiology & Immunology, University of Michigan, Ann Arbor, MI, USA\u003Cbr>4) Complex Biosystems Graduate Program, University of Nebraska, Lincoln, NE, USA\u003Cbr>5) Department of Agronomy and Horticulture, University of Nebraska, Lincoln, NE, USA\u003Cbr>6) Biosciences & Biotechnology Division, Lawrence Livermore National Laboratory, Livermore, CA, USA\u003Cbr>7) Department of Statistics, University of Nebraska, Lincoln, NE, USA\u003Cbr>8) Department of Biostatistics, University of Kentucky, Lexington, KY, USA",{"alignment":89},{"alignment":60},{"id":91,"type":55,"data":92,"tunes":94},"uxsIy-8Ic_",{"text":93},"Nature\u003Cbr>https://www.nature.com/articles/s42003-025-09089-2",{"alignment":95},{"alignment":60},{"id":97,"type":55,"data":98,"tunes":100},"Jdzcyhycg3",{"text":99},"For more information about Chemspeed solutions:",{"alignment":101},{"alignment":60},{"id":103,"type":104,"data":105,"tunes":108},"Yz18ZuY86U","header",{"text":106,"level":107},"Contact us to learn more about this exciting article:\u003Ca href=\"https://www.chemspeed.com/contact/\">https://www.chemspeed.com/contact/\u003C/a>",3,{"alignment":109},{"alignment":60},"2.31.0","2026-05-19",{"title":113,"meta_description":114},"Genetic Variation in Common Bean Shapes Human Gut Microbiome","Discover how genetic variation and historical breeding in common bean influence microbial fermentation patterns and impact gut microbiome composition and function.\n",[116,119],{"id":117,"news_id":44,"industry_id":118},1224,2,{"id":120,"news_id":44,"industry_id":121},1225,13,[123,125,128],{"id":124,"news_id":44,"workflow_id":4},1180,{"id":126,"news_id":44,"workflow_id":127},1181,4,{"id":129,"news_id":44,"workflow_id":130},1182,7,{"id":4,"sort":49,"user_created":5,"date_created":132,"user_updated":133,"date_updated":134,"internal_name":135,"header_presentation":49,"cta_text":49,"cta_link":49,"preview":136,"items":137},"2025-07-03T09:39:06.000Z","464e67c1-078b-4ef9-996c-47e2b04353ef","2026-07-20T06:02:33.000Z","Default Header","42627e3f-7447-4f40-8aa6-1aedfb54c7f6",[138,220,333,377,414,458],{"item":139},{"title":140,"style":141,"items":142},"Portfolio","double",[143,198],{"nova_blocks_header_submenu_items_id":144},{"title":145,"items":146},"Scalable Automation",[147,153,159,165,171,178,185,191],{"sort":4,"item":148},{"page_title":149,"slug":150,"menu_description":151,"menu_icon":152},"Benchtop Solutions","benchtop-crystal","Space-Saving, High-Impact","breakfast_dining",{"sort":118,"item":154},{"page_title":155,"slug":156,"menu_description":157,"menu_icon":158},"Configurable Solutions","configurable-solutions","Tailored for Your Workflow","edit_square",{"sort":107,"item":160},{"page_title":161,"slug":162,"menu_description":163,"menu_icon":164},"Agentic Workflows","agentic-workflows","No more gaps between experiments","flowsheet",{"sort":127,"item":166},{"page_title":167,"slug":168,"menu_description":169,"menu_icon":170},"NMR Automation Portfolio","bruker-nmr-automation","E2E automated NMR workflows","location_automation",{"sort":172,"item":173},5,{"page_title":174,"slug":175,"menu_description":176,"menu_icon":177},"XRD Automation Portfolio","bruker-xrd-automation","E2E automated XRD Workflows","api",{"sort":179,"item":180},6,{"page_title":181,"slug":182,"menu_description":183,"menu_icon":184},"Automated \"Make\" and IR & Raman Workflows (Optics)","automated-ir-and-raman-workflows","Spectroscopy Automation","escalator",{"sort":130,"item":186},{"page_title":187,"slug":188,"menu_description":189,"menu_icon":190},"QC Packages","qc-packages","Quality Control Solutions","verified_user",{"sort":192,"item":193},8,{"page_title":194,"slug":195,"menu_description":196,"menu_icon":197},"Software","software-and-digitalization","Connect. 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