{"doi":"10.1016/j.cub.2023.06.048","title":"Mutational analysis of mechanosensitive ion channels in the carnivorous Venus flytrap plant","abstract":"How the Venus flytrap ( Dionaea muscipula ) evolved the remarkable ability to sense, capture, and digest animal prey for nutrients has long puzzled the scientific community. 1 Recent genome and transcriptome sequencing studies have provided clues to the genes thought to play a role in these tasks. 2 , 3 , 4 , 5 However, proving a causal link between these and any aspect of the plant's hunting behavior has been challenging due to the genetic intractability of this non-model organism. Here, we use CRISPR-Cas9 methods to generate targeted modifications in the Venus flytrap genome. The plant detects prey using touch-sensitive trigger hairs located on its bilobed leaves. 6 Upon bending, these hairs convert mechanical touch signals into changes in the membrane potential of sensory cells, leading to rapid closure of the leaf lobes to ensnare the animal. 7 Here, we generate mutations in trigger-hair-expressed MscS-like (MSL)-family mechanosensitive ion channel genes FLYCATCHER1 ( FLYC1 ) and FLYCATCHER2 ( FLYC2 ) 5 and find that double-mutant plants have a reduced leaf-closing response to mechanical ultrasound stimulation. While we cannot exclude off-target effects of the CRISPR-Cas9 system, our genetic analysis is consistent with these and other functionally redundant mechanosensitive ion channels acting together to generate the sensory system necessary for prey detection.","journal":"Current Biology","year":2023,"id":328668,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":22,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9593,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1050593,"name":"Wen Mai Wong","orcid":"0000-0001-6451-2812","position":1,"is_corresponding":false},{"id":559088,"name":"Janki Patel","orcid":"0000-0002-8140-9347","position":2,"is_corresponding":false},{"id":560540,"name":"Seyed Ali Reza Mousavi","orcid":"0000-0002-2948-1771","position":3,"is_corresponding":false},{"id":565900,"name":"Tsegaye Dabi","orcid":"0000-0002-7957-4773","position":4,"is_corresponding":false},{"id":559085,"name":"Marc Duque","orcid":"0000-0003-2999-4283","position":5,"is_corresponding":false},{"id":479932,"name":"Lisa Baird","orcid":null,"position":6,"is_corresponding":false},{"id":559094,"name":"Sreekanth H. Chalasani","orcid":"0000-0003-2522-8338","position":7,"is_corresponding":false},{"id":28826,"name":"Joanne Chory","orcid":"0000-0002-3664-8525","position":8,"is_corresponding":false},{"id":565898,"name":"Carl Procko","orcid":"0000-0002-4374-4283","position":0,"is_corresponding":true}],"reference_count":33,"raw_metadata":null,"created_at":"2026-07-19T01:08:56.940647Z","pmid":"37437572","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}