{"id":"W4380870564","doi":"10.1038/s41467-023-39167-0","title":"Genome-wide association studies identify OsWRKY53 as a key regulator of salt tolerance in rice","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Plant Gene Expression Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":176,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences; Fundamental Research Funds for the Central Universities; Chinese Academy of Sciences; Institute of Genetics; Institute of Microbiology, Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Biology; Gene; Regulator; Genetics; Genome-wide association study; Genome; Mechanism (biology); Genetic association; Salinity; Candidate gene; Protein kinase A; Computational biology; Kinase; Single-nucleotide polymorphism; Genotype; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002432839,0.0003572665,0.0002468812,0.0005491407,0.0001611097,0.0002909306,0.0001997249,0.0002165771,0.00249782],"category_scores_gemma":[0.000240486,0.0001365989,0.0004507541,0.0005531705,0.0002507714,0.00008647969,0.0002583865,0.0002965647,0.0003040174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001310982,"about_ca_system_score_gemma":0.0001219932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001239677,"about_ca_topic_score_gemma":0.001753094,"domain_scores_codex":[0.9998372,0.00002306154,0.00001490482,0.000074708,0.00002412895,0.00002609591],"domain_scores_gemma":[0.9997293,0.00005115031,0.0001131958,0.00002967881,0.00001654946,0.0000600429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001611755,0.00007045885,0.5407309,0.0001443115,0.0009409513,0.001261951,0.0001454134,0.0003711897,0.4426094,0.0002929487,0.0005679719,0.01125278],"study_design_scores_gemma":[0.00002267817,0.00006299258,0.9896734,0.00000739385,0.0002826753,0.000645644,0.00005283918,0.0005759693,0.00776733,0.0001113238,0.0007921475,0.000005734913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978667,0.0005330725,0.0007249321,0.00005309788,0.00001321789,0.000003141626,0.0004585548,0.00003244727,0.0003148672],"genre_scores_gemma":[0.9988188,0.0001381999,0.000207609,0.00001851742,0.000008052524,0.000002861804,0.0003569846,0.000007576313,0.0004413227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00249782,"threshold_uncertainty_score":0.008356035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01813857926913589,"score_gpt":0.3357790743960266,"score_spread":0.3176404951268907,"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."}}