{"id":"W4412743504","doi":"10.1101/2025.07.28.667109","title":"Interbacterial AI-2 communication drives stage-specific genetic programs to support <i>Salmonella</i> colonisation in the murine gut","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Vibrio bacteria research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia College","funders":"Center for Advanced Study, University of Illinois at Urbana-Champaign; Indian Council of Medical Research; Department of Science and Technology, Ministry of Science and Technology, India; Ministry of Education, India; Department of Biotechnology, Ministry of Science and Technology, India; Indian Institute of Science","keywords":"Virulence; Colonization; Salmonella; Microbiology; Chemotaxis; Motility; Biology; Gene; Biofilm; Flagellum; Bacteria; Cell biology; Genetics; Receptor","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001141135,0.0003014423,0.0001984739,0.0002813927,0.0001171277,0.0002891383,0.0001212777,0.000280859,0.001266768],"category_scores_gemma":[0.00009681167,0.0002129093,0.0002924638,0.00009974733,0.0002250377,0.0001548413,0.000248034,0.0007389392,0.0004762405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003415341,"about_ca_system_score_gemma":0.0001762487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003766635,"about_ca_topic_score_gemma":0.0008599058,"domain_scores_codex":[0.9997415,0.00003294848,0.00001542096,0.00006701948,0.00005229627,0.00009082327],"domain_scores_gemma":[0.9997733,0.00001665659,0.00008380906,0.00002292535,0.00002256596,0.00008073802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004872607,0.00001007058,0.00009509246,0.000006554493,7.194918e-7,0.00001129435,0.000005017794,0.00001096877,0.999637,0.00002598298,0.00001093958,0.0001375693],"study_design_scores_gemma":[0.0000234681,0.0007604951,0.02597626,0.00001151783,0.00001508834,0.0001868607,0.0001190373,0.001474185,0.9695308,0.00006439787,0.001827834,0.00001012221],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953882,0.0004304971,0.002363293,0.00009389668,0.00002676913,0.00003311759,0.0005365587,0.0001158414,0.001011815],"genre_scores_gemma":[0.9936801,0.0001964631,0.001954969,0.00009939833,0.000012898,0.00005689574,0.0006558657,0.00005074533,0.003292639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001266768,"threshold_uncertainty_score":0.004237771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02002912724209635,"score_gpt":0.2700458000232876,"score_spread":0.2500166727811912,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}