{"id":617971,"date":"2026-02-26T17:21:23","date_gmt":"2026-02-26T17:21:23","guid":{"rendered":"https:\/\/www.europesays.com\/us\/617971\/"},"modified":"2026-02-26T17:21:23","modified_gmt":"2026-02-26T17:21:23","slug":"clonal-aggregative-multicellularity-tuned-by-salinity-in-a-choanoflagellate","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/us\/617971\/","title":{"rendered":"Clonal-aggregative multicellularity tuned by salinity in a choanoflagellate"},"content":{"rendered":"<p>A full description of the methods is provided in the <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">Supplementary Information<\/a>. All dilution percentages are v\/v unless specified otherwise.\u00a0No statistical methods were used to predetermine sample size. No blinding and randomization were used.<\/p>\n<p>Cell strains and growth conditions<\/p>\n<p>C. flexa clonal monoxenic cultures (strain ChoPs7, hereafter strain 1), established as described previously<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 12\" title=\"Brunet, T. et al. Light-regulated collective contractility in a multicellular choanoflagellate. Science 366, 326&#x2013;334 (2019).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR12\" id=\"ref-link-section-d185662323e2874\" rel=\"nofollow noopener\" target=\"_blank\">12<\/a> from single-sheet cultures isolated near Boka Wandomi in Shete Boka National Park (the location reference is provided in Fig. <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"figure anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#Fig6\" rel=\"nofollow noopener\" target=\"_blank\">6a<\/a>), were grown in 25\u2009cm2 tissue-culture-treated flasks (130189, Thermo Fisher Scientific) in either in 1% seawater complete (SWC) medium or 5% cereal grass medium 3 (CGM3) diluted in artificial seawater (ASW), following standard culture medium and culture protocols for choanoflagellates<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 12\" title=\"Brunet, T. et al. Light-regulated collective contractility in a multicellular choanoflagellate. Science 366, 326&#x2013;334 (2019).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR12\" id=\"ref-link-section-d185662323e2883\" rel=\"nofollow noopener\" target=\"_blank\">12<\/a>,<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 25\" title=\"Reyes-Rivera, J. et al. Nitric oxide signaling controls collective contractions in a colonial choanoflagellate. Curr. Biol. 32, 2539&#x2013;2547 (2022).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR25\" id=\"ref-link-section-d185662323e2886\" rel=\"nofollow noopener\" target=\"_blank\">25<\/a> with minor modifications (<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">Supplementary Information<\/a>).<\/p>\n<p>Tracking cell division of single cells<\/p>\n<p>The cell concentration of an exponentially growing ChoPs7 culture grown in SWC medium was estimated using a LUNA-II automated cell counter (LogosBiosystems). The culture was then diluted to 1 cell per \u00b5l in 5% SWC supplemented with 1% Halopseudomonas oceani resuspended food pellet (20\u2009mg\u2009ml\u22121 in ASW). A 1\u2009\u00b5l aliquot of the diluted culture was pipetted onto the centre of a well in a black 96-well ibiTreat \u00b5-plate (89626, Ibidi) and covered with 400\u2009\u00b5l of Ibidi anti-evaporation oil (50051, Ibidi). The sample was imaged using a Plan-Apochromat \u00d720\/0.8 M27 Zeiss objective on the Zeiss Axio Observer Z.1 inverted microscope, using tile scan mode to cover the entire droplet surface, Definite Focus and a ColorBand filter (FGL610, Thorlabs).<\/p>\n<p>Time-lapse imaging of mixed clonal-aggregative multicellularity<\/p>\n<p>Colonies from ChoPs7 cultures grown in CGM3 medium were transferred to a FluoroDish (FD35-100, World Precision Instruments) and incubated for 30\u2009min to allow them to settle at the bottom of the dish. Colonies were imaged every 5\u2009min by differential interference contrast (DIC) microscopy using a Plan-Apochromat \u00d763\/1.4 oil-immersion Zeiss objective mounted on a Zeiss Observer Z.1 inverted microscope equipped with a Hamamatsu ORCA-Flash 4.0 V2 CMOS camera (C1140-22CU) in timelapse mode.<\/p>\n<p>Aggregation dynamics over time<\/p>\n<p>Two types of time-lapse videos of aggregation were generated: low-magnification overviews capturing a large number of cells imaged with a \u00d75 objective (Fig. <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"figure anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#Fig2\" rel=\"nofollow noopener\" target=\"_blank\">2b<\/a> and Supplementary Video\u00a0<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#MOESM6\" rel=\"nofollow noopener\" target=\"_blank\">4<\/a>) and high-magnification, high-frequency videos of a smaller number of cells imaged with a \u00d763 objective to enable cell tracking (Fig. <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"figure anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#Fig2\" rel=\"nofollow noopener\" target=\"_blank\">2c,d<\/a> and Supplementary Videos\u00a0<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#MOESM6\" rel=\"nofollow noopener\" target=\"_blank\">5<\/a> and <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#MOESM6\" rel=\"nofollow noopener\" target=\"_blank\">6<\/a>). The experiment was performed in four independent biological replicates (n\u2009=\u20094). For both types of experiments, 3 to 10\u2009ml of dense ChoPs7 cultures were collected by centrifugation at 4,700g for 20\u2009min at 4\u2009\u00b0C, resuspended in supernatant and dissociated by vortexing for 30\u2009s. The resulting cell suspension was transferred into a well of a Corning 96-well plate (13539050, Thermo Fisher scientific) for imaging and imaged overnight by DIC microscopy on the Zeiss Axio Observer Z.1 inverted microscope (details are provided in the <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">Supplementary Information<\/a>).<\/p>\n<p>Staining and Airyscan imaging of aggregates at different stages<\/p>\n<p>Approximately 10\u201320\u2009ml of exponentially growing ChoPs7 cultures grown in SWC medium was collected by centrifugation at 3,300g for 15\u2009min at room temperature and washed twice with 20\u2009ml of 1\u00d7 ASW. Cells were counted, seeded in 1\u2009ml of ASW in a 24-well plate and incubated for 10\u2009min, 30\u2009min, 2\u2009h, 6\u2009h and 24\u2009h at 25\u2009\u00b0C. After incubation, 45\u2009\u00b5l of cells was transferred into a 96-well plate (89626, Ibidi), fixed by adding ice-cold paraformaldehyde (PFA) (15710, Electron Microscopy Sciences) to a final concentration of 4%, permeabilized for 5\u2009min with 0.1% Triton X-100 (A16046, Thermo Fisher Scientific) and stained with 1:1,000 FM 4-64X (F34653, Invitrogen) and 1:100 Alexa Fluor 488 Phalloidin (A12379, Invitrogen). The samples were imaged on the Zeiss Axio Observer Z1\/7 microscope with LSM900 Airyscan 2.<\/p>\n<p>Production, staining and imaging of dual-labelled chimeric aggregates<\/p>\n<p>ChoPs7 cultures were collected as described above, resuspended in around 1\u2009ml of ASW, dissociated by vortexing and divided into two 1.5\u2009ml microcentrifuge tubes. Cells in each tube were stained 1:1,000 with either CellTrace CFSE (green; C34570, Thermo Fisher Scientific) or CellTrace Far Red (magenta; C34572, Thermo Fisher Scientific). Cells were collected again at 3,300g for 15\u2009min at room temperature, washed once with 1\u2009ml of 1% BSA in ASW, washed once more with 1\u2009ml of ASW and resuspended in 500\u2009\u00b5l of ASW. Cells were counted and mixed at a 1:1 ratio in 1\u2009ml of SWC medium in a 24-well plate. Plates were incubated overnight at 25\u2009\u00b0C, and non-mixed single-labelled populations were seeded in parallel as controls. After incubation, 100\u2009\u00b5l of the sample was transferred into a 96-well plate, fixed with 4% PFA, permeabilized with 0.1% Triton X-100 and stained with 1:1,000 Alexa Fluor Plus 405 Phalloidin (A30104, Invitrogen). The samples were imaged using the LSM900 Airyscan 2 system as described above.<\/p>\n<p>Quantification of aggregation in aphidicolin-treated cells<\/p>\n<p>Chops7 cultures grown in CGM3 medium were treated overnight with aphidicolin or DMSO (drug vehicle control), dissociated by vortexing and transferred into an \u00b5-Slide 8-Well chamber (80826, Ibidi). The samples were imaged every 30\u2009min for 2\u2009h on the Zeiss Observer Z.1 inverted microscope equipped with a Hamamatsu ORCA-Flash 4.0 V2 CMOS camera (C1140-22CU).<\/p>\n<p>Aggregation of fixed versus live cells<\/p>\n<p>ChoPs7 cultures were collected by centrifugation, resuspended in ASW, dissociated by vortexing, counted, vortexed again to ensure complete dissociation, seeded in a 24-well plate and immediately fixed with 4% PFA. Cells were then placed on an orbital shaker (Rotamax 120, Heidolph) at 50\u2009rpm for 24\u2009h at room temperature. Control plates containing live (non-fixed) cells and static (non-agitated) conditions were prepared in parallel. After 24\u2009h, cells were imaged using transmitted light bright-field microscopy on a Zeiss Axio Observer Z.1 inverted microscope.<\/p>\n<p>Field sampling<\/p>\n<p>Fieldwork data were collected in Shete Boka National Park (12\u00b022\u20325.718\u2032\u2009N, 69\u00b006\u203256.916\u2032\u2009W) in Cura\u00e7ao, in three independent expeditions during July\u2013August 2023 and July\u2013August 2024. The park spans nearly 10\u2009km of rocky, wave-exposed coastline and contains approximately 10 pocket bays, or bokas.<\/p>\n<p>Exped-A sampling and monitoring<\/p>\n<p>For Exped-A, at least 10\u2009ml of seawater was collected from n\u2009=\u200979 different splash pools (Sp1\u2013Sp79) using 25\u2009cm2 tissue-culture-treated flasks along around 2\u2009km of coastline. Fifteen of these splash pools (n\u2009=\u200915) were selected for daily monitoring of evaporation and refilling cycles over an 8-day time course. Each splash pool was uniquely identified using a physical tagging system and its GPS coordinates were recorded using an iPhone 12 Mini (Apple). A photograph of each splash pool and its surrounding environment was also taken using the same device. The following parameters were measured in situ: salinity using a refractometer (B07FQPFJGX (ASIN), Gain Express), temperature using a thermometer (B07CB8JG21 (ASIN), ThermoPro) and depth using measuring tape. Splash pool seawater or soil (in dry splash pools) were collected for rehydration experiments. The presence of sheets was visually assessed at the CARMABI biological station in Cura\u00e7ao using the Leica DM IL LED inverted microscope equipped with the Nikon Z 50 camera. As controls, open sea salinity and temperature were measured in the bokas of Boka Wandomi and Boka Kalki.<\/p>\n<p>Exped-B sampling<\/p>\n<p>For Exped-B, a random-number generator was used to select a randomized sampling location between 150\u2009m and 250\u2009m upstream Boka Wandomi, avoiding sites that were previously sampled during Exped-A. At the selected location, an area measuring 10\u2009m by 4\u2009m was mapped and defined. All splash pools containing at least 5\u2009ml of seawater within this area (n\u2009=\u200971) were collected and analysed as described above (M1\u2013M77). New C. flexa strains (strain 2 and strain 3) were isolated from splash pools M44 and M60, respectively (see the \u2018Manual isolation of sheets collected in the field\u2019 section\u00a0in the\u00a0<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">Supplementary Methods<\/a>).<\/p>\n<p>Exped-C sampling<\/p>\n<p>For Exped-C, at least 10\u2009ml of seawater was collected from n\u2009=\u200912 different splash pools (SpA\u2013SpL) located near Boka Wandomi and Boka Pistol and analysed as described above. To maximize the likelihood of finding C. flexa sheets, the salinity of each splash pool was measured before sampling. Splash pools with salinity values within the permissive range for sheet occurrence (15\u2013128\u2009ppt) were selected for collection. The samples were later inspected using an inverted microscope to estimate C. flexa cell density based on the number of observed sheets (<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">Supplementary Information<\/a>).<\/p>\n<p>Soil rehydration<\/p>\n<p>A total of n\u2009=\u200932 soil samples was rehydrated across two independent fieldwork expeditions (Exped-A and Exped-C). Soil samples of n\u2009=\u20096 splash pools that underwent complete desiccation during Exped-A were scraped and collected daily for 8\u2009days using a spatula into 25\u2009cm2 tissue-culture-treated flasks, ensuring that soil was sampled from multiple areas within each splash pool. Soil samples were rehydrated in the laboratory with 50\u2013100\u2009ml of sterile-filtered seawater collected from Boka Wandomi, adjusting the volume to reach a salinity of around 40\u2009ppt. At least three independent rehydrations were performed for each sample. The presence of sheets was monitored daily during the next five days.<\/p>\n<p>Soil samples of n\u2009=\u200926 additional splash pools (Soil1\u2013Soil26) surveyed during Exped-C were collected, treated and monitored as described above with minor adjustments (<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">Supplementary Information<\/a>) as an independent replicate experiment.<\/p>\n<p>Artificial evaporation<\/p>\n<p>In total, 3\u2009ml of dense ChoPs7 cells were seeded into four separate six-well plates (130184, Thermo Fisher Scientific) and transferred onto a grid inside a 30\u2009\u00b0C incubator. One six-well plate was kept with its lid on (low-evaporation control), while the remaining plates were left uncovered (gradual-evaporation condition) over a 9-day time course. A plastic box (dimensions: 35.7\u2009cm\u2009\u00d7\u200923.5\u2009cm\u2009\u00d7\u200913.5\u2009cm) was placed over the plates to allow for air exchange while minimizing contamination from airborne particles (Fig. <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"figure anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#Fig4\" rel=\"nofollow noopener\" target=\"_blank\">4a<\/a>). At each timepoint, salinity was measured using a refractometer and a 100\u2009\u00b5l sample was transferred into a 96-well plate for imaging on the Zeiss Axio Observer Z.1 inverted microscope and manual counting of cells in unicellular versus multicellular forms.<\/p>\n<p>Cyst imaging under gradual evaporation<\/p>\n<p>Cyst formation was monitored daily over a 4-day period using DIC microscopy on the Zeiss Observer Z.1 inverted microscope equipped with the Hamamatsu ORCA-Flash 4.0 V2 CMOS camera (C1140-22CU). Then, 200\u2009ml of Chops7 cultures was transferred into a Bio-Assay Dish (240845, Thermo Fisher Scientific) and evaporated at 28\u2009\u00b0C with the lid open for 4\u20136\u2009h until the salinity reached 60\u2009ppt. The temperature was increased to 29\u2009\u00b0C and the lid was closed overnight to allow cells to adapt to the new salinity. The lid was partially reopened the next morning to resume gradual evaporation until the salinity reached 80\u2009ppt; the lid was closed overnight, and the temperature was increased to 30\u2009\u00b0C. The lid was reopened the next morning until the salinity reached 100\u2013110\u2009ppt. The culture was then maintained at that salinity with the lid closed for 24\u2009h. On the morning of day 4, cells were imaged in a FluoroDish (FD35-100, World Precision Instruments).<\/p>\n<p>Cyst F-actin and membrane staining<\/p>\n<p>Cysts were produced using gradual evaporation at 30\u2009\u00b0C to allow gradual evaporation (see the \u2018Artificial evaporation\u00a0experiment\u2019 section\u00a0in the <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">Supplementary Methods<\/a>), fixed with 4% PFA, transferred into a 96-well plate, permeabilized with 0.1% Triton X-100 and stained with 1:1,000 FM 4-64X, 1:100 Alexa Fluor 488 Phalloidin, and 1:100 Hoechst (H21486, Invitrogen). Samples were imaged using a Zeiss LSM900 Airyscan 2 as above.<\/p>\n<p>Quantification of prey capture<\/p>\n<p>A H. oceani food pellet (20\u2009mg) resuspended in 1\u2009ml ASW was stained with BactoView-Live Green (FITC) (40102, Biotium) at 4\u2009\u00b5l\u2009ml\u22121 and incubated for 30\u2009min at room temperature in the dark, centrifuged at 2,750g for 5\u2009min and resuspended in 1\u2009ml ASW. In parallel, 200\u2009\u00b5l of dense ChoPs7 cultures, or of single cells dissociated by vortexing, was transferred into 8-well chambers (80826, Ibidi). Then, 100\u2009\u00b5l of stained bacteria diluted 1:20 in ASW was added to each well containing colonies or single cells. C. flexa was incubated with bacteria for 1\u2009min before fixation with 4% PFA. After fixation, the samples were imaged using DIC and green fluorescence microscopy using the Zeiss Observer Z.1 microscope. The capture efficiency was calculated as the ratio between the number of bacteria attached to the collars of choanoflagellate cells to the total number of choanoflagellate cells in each image.<\/p>\n<p>Normalized growth and efficiency of aggregation over 2 h<\/p>\n<p>To calculate the normalized growth under the 1\u00d7 and 2\u00d7 salinity conditions\u00a0(Fig. <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"figure anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#Fig5\" rel=\"nofollow noopener\" target=\"_blank\">5a<\/a>), the growth rates obtained from experiment shown in Fig. <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"figure anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#Fig4\" rel=\"nofollow noopener\" target=\"_blank\">4m<\/a> (see the \u2018Growth quantification after gradual evaporation\u2019 section\u00a0in the <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">Supplementary Methods<\/a>) were normalized as follows:<\/p>\n<p>Normalized growth\u2009=\u2009(growth rate)\/(maximum growth rate across all conditions)<\/p>\n<p>The efficiency of aggregation (Ea) for each individual experiment was calculated based on aggregation time lapses (see the \u2018Time-lapse imaging of mixed clonal-aggregative multicellularity\u2019 section above) at the 2\u2009h timepoint as the ratio of the mean area of sheets obtained in that individual experiment over the maximal area observed under 2\u00d7 salinity (<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">Supplementary Information<\/a>).<\/p>\n<p>Efficiency of clonality and aggregation at different cell densities<\/p>\n<p>Approximately 20\u2009ml of dense ChoPs7 culture was collected and dissociated as described above. Then, 102, 103, 104 and 105 cells were seeded in 1\u2009ml of either 1\u00d7 ASW or 2\u00d7 ASW supplemented with 1% SWC and 0.5% H. oceani in a 24-well plate. Cells were incubated at 30\u2009\u00b0C and imaged after 24\u2009h, 48\u2009h and 72\u2009h incubation using bright-field microscopy on the Zeiss Axio Observer Z.1 microscope.<\/p>\n<p>We defined the efficiency of aggregation (Ea) at a given cell density as the mean size reached at 24\u2009h at that cell density under 2\u00d7 salinity, normalized to the largest size measured at 2\u00d7 salinity (across all cell densities) at 24\u2009h. We defined the efficiency of clonality (Ec) as the additional growth allowed by cell division at 1\u00d7 salinity relative to the aggregative baseline measured at 2\u00d7 salinity (equations and technical details are provided in the <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">Supplementary Information<\/a>). As a control, we verified that our metrics for efficiency of aggregation and clonality were not saturated (<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">Supplementary Information<\/a>).<\/p>\n<p>Staining and Airyscan imaging of aggregative and control sheetsFor control sheets<\/p>\n<p>Approximately 20\u2009ml of dense ChoPs7 cells were collected and counted as above and seeded into 1\u2009ml SWC medium in a 24-well plate at low density (~200 cells per ml) to favour clonal over aggregative formation of sheets. Cells were incubated for 3\u2009days at 30\u2009\u00b0C.<\/p>\n<p>For aggregative sheets<\/p>\n<p>Approximately 20\u2009ml of dense ChoPs7 culture was collected, dissociated and counted, and 105 cells were seeded in 1\u2009ml of 2\u00d7 ASW (with 1% SWC and 1% H. oceani) in a 24-well plate. Cells were incubated for 24\u2009h at 30\u2009\u00b0C.<\/p>\n<p>Both types of sample were fixed with 4% PFA, stained with 1:1,000 FM 4-64X and 1:1,000 Alexa Fluor 488 Phalloidin as described above, and imaged using the Zeiss LSM900 Airyscan 2 microscope as described above. Cells per sheet were counted and collar\u2013collar angles were quantified using Imaris v.9.9.1 (Bitplane, build 61122 for x64). Circularity was quantified using Fiji<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 61\" title=\"Schindelin, J. et al. Fiji: an open-source platform for biological-image analysis. Nat. Methods 9, 676&#x2013;682 (2012).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR61\" id=\"ref-link-section-d185662323e3223\" rel=\"nofollow noopener\" target=\"_blank\">61<\/a> v.2.14.0\/1.54f (<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">Supplementary Information<\/a>).<\/p>\n<p>Light-regulated inversion in aggregative and control sheets<\/p>\n<p>Aggregative and control sheets were produced as described above, transferred into a 96-well plate and imaged on the Leica Stellaris 5 confocal microscope with the HC PL FLUOTAR 10X\/0.30 DRY objective in the FRAP mode. A white-light laser was used to create a 488\u2009nm laser line with 1% intensity and a 633\u2009nm laser line with 1% intensity. For light-to-dark stimulation, the 488\u2009nm laser line was turned on during the pre- and post-bleaching frames and turned off during bleaching frames, while the 633\u2009nm laser line remained continuously on. Bright-field images were acquired using the Trans PMT detector, and fluorescence signals were detected using two HyD type S, covering 495\u2009nm\u2013605\u2009nm spectra for 488\u2009nm excitation and 635\u2009nm\u2013745\u2009nm spectra for 633 excitation, respectively. The imaging interval was around 0.19\u2009s. Acquired images were exported in \u2018ImageJ TIFF\u2019 format using Leica Application Suite X.<\/p>\n<p>Ten colonies from each replicate were subjected to light-to-dark transition to assess light-sensitive inversion behaviour (total of n\u2009=\u200960 sheets). For quantitative analysis, five representative colonies per condition were analysed to measure changes in colony area during inversion. Cell segmentation was performed on bright-field images using a custom-trained model of Cellpose (v.2.2.3)<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 62\" title=\"Pachitariu, M. &amp; Stringer, C. Cellpose 2.0: how to train your own model. Nat. Methods 19, 1634&#x2013;1641 (2022).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR62\" id=\"ref-link-section-d185662323e3245\" rel=\"nofollow noopener\" target=\"_blank\">62<\/a>,<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 63\" title=\"Van Der Walt, S. et al. scikit-image: image processing in Python. PeerJ 2, e453 (2014).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR63\" id=\"ref-link-section-d185662323e3248\" rel=\"nofollow noopener\" target=\"_blank\">63<\/a>. The resulting colony masks were quantified using the label and regionprops_table functions from the measure module of the same package. The quantified area was normalized to the mean area of the first 20 frames before the light-to-dark transition and plotted using tidyverse (v.2.0.0) in R (v.4.1.1) and RStudio (v.2021.9.0.351).<\/p>\n<p>Sequencing and assembly of the C. flexa reference genome<\/p>\n<p>ChoPs cultures for genome sequencing and assembly were established by thawing a low-passage, previously reported C. flexa culture<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 12\" title=\"Brunet, T. et al. Light-regulated collective contractility in a multicellular choanoflagellate. Science 366, 326&#x2013;334 (2019).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR12\" id=\"ref-link-section-d185662323e3267\" rel=\"nofollow noopener\" target=\"_blank\">12<\/a>. Monoxenicity was established as previously described<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 12\" title=\"Brunet, T. et al. Light-regulated collective contractility in a multicellular choanoflagellate. Science 366, 326&#x2013;334 (2019).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR12\" id=\"ref-link-section-d185662323e3271\" rel=\"nofollow noopener\" target=\"_blank\">12<\/a> by antibiotic treatment and addition of live H. oceani bacteria. The resulting ChoPs strain (ChoPs8) was grown to maximal density (around 1\u2009\u00d7\u2009106 cells per ml) in 5% CGM3 medium. Bacteria were removed by spinning three times at 3,000g for 15\u2009min, washing each time with 45\u2009ml ASW. The final pellet was snap-frozen in liquid nitrogen and sent to Dovetail Genomics (Scotts Valley) for genomic DNA extraction, Omni-C+PacBio sequencing and genome assembly, which were performed by Dovetail Genomics staff using in-house protocols (details are provided in the <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">Supplementary Information<\/a>).<\/p>\n<p>The genome of C. flexa was annotated using an integrated pipeline combining the results from several gene-calling algorithms with clues from C. flexa transcriptomic data and predicted proteomes from previously sequenced choanoflagellates<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 64\" title=\"Richter, D. J., Fozouni, P., Eisen, M. B. &amp; King, N. Gene family innovation, conservation and loss on the animal stem lineage. eLife 7, e34226 (2018).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR64\" id=\"ref-link-section-d185662323e3296\" rel=\"nofollow noopener\" target=\"_blank\">64<\/a>. In total, 688,088 protein sequences were used as homology-based evidence for gene annotation. Protein sequences were aligned to the C. flexa genome using DIAMOND (v.2.1.8)<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 65\" title=\"Buchfink, B., Reuter, K. &amp; Drost, H.-G. Sensitive protein alignments at tree-of-life scale using DIAMOND. Nat. Methods 18, 366&#x2013;368 (2021).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR65\" id=\"ref-link-section-d185662323e3303\" rel=\"nofollow noopener\" target=\"_blank\">65<\/a> and exonerate (v.2.4.0)<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 66\" title=\"Slater, G. S. C. &amp; Birney, E. Automated generation of heuristics for biological sequence comparison. BMC Bioinform. 6, 31 (2005).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR66\" id=\"ref-link-section-d185662323e3308\" rel=\"nofollow noopener\" target=\"_blank\">66<\/a>. DIAMOND identified 269,722 putative alignments and exonerate identified 2,679. Three gene prediction software packages were used to define 45,273 putative gene models. First, Augustus (v.3.3.2)<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 67\" title=\"Stanke, M. et al. AUGUSTUS: ab initio prediction of alternative transcripts. Nucleic Acids Res. 34, W435&#x2013;W439 (2006).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR67\" id=\"ref-link-section-d185662323e3312\" rel=\"nofollow noopener\" target=\"_blank\">67<\/a> was run using Toxoplasma parameters, resulting in 6,822 high-quality predictions (&gt;90% exon evidence) and 9,196 gene models without quality thresholding (15,676 total Augustus gene predictions). Second, SNAP<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 68\" title=\"Korf, I. Gene finding in novel genomes. BMC Bioinform. 5, 59 (2004).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR68\" id=\"ref-link-section-d185662323e3319\" rel=\"nofollow noopener\" target=\"_blank\">68<\/a>, was trained using 194 eukaryotic BUSCO genes (v.2.0)<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 69\" title=\"Sim&#xE3;o, F. A., Waterhouse, R. M., Ioannidis, P., Kriventseva, E. V. &amp; Zdobnov, E. M. BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs. Bioinformatics 31, 3210&#x2013;3212 (2015).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR69\" id=\"ref-link-section-d185662323e3323\" rel=\"nofollow noopener\" target=\"_blank\">69<\/a> identified in the genome, yielding 15,083 gene models. Third, GlimmerHMM<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 70\" title=\"Majoros, W. H., Pertea, M. &amp; Salzberg, S. L. TigrScan and GlimmerHMM: two open source ab initio eukaryotic gene-finders. Bioinformatics 20, 2878&#x2013;2879 (2004).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR70\" id=\"ref-link-section-d185662323e3327\" rel=\"nofollow noopener\" target=\"_blank\">70<\/a>, trained on the same set of eukaryotic BUSCO genes, identified 14,172 gene models. All putative gene models were combined using a weighted consensus approach using the EvidenceModeler software<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 71\" title=\"Haas, B. J. et al. Automated eukaryotic gene structure annotation using EVidenceModeler and the Program to Assemble Spliced Alignments. Genome Biol. 9, R7 (2008).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR71\" id=\"ref-link-section-d185662323e3332\" rel=\"nofollow noopener\" target=\"_blank\">71<\/a>. This resulting set of 16,832 gene models was further filtered to remove sequences shorter than 50 amino acids in length, repetitive elements like transposons or spanned gaps. This filtering resulted in the removal of 186 gene models, and 16,646 total gene models remained. Workflow orchestration was performed using funannotate (v.1.8.16)<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 72\" title=\"Palmer J. M. &amp; Stajich J. Funannotate v1.8.1: eukaryotic genome annotation (v.1.8). Zenodo &#010;                https:\/\/doi.org\/10.5281\/zenodo.1134477&#010;                &#010;               (2020).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR72\" id=\"ref-link-section-d185662323e3336\" rel=\"nofollow noopener\" target=\"_blank\">72<\/a>. The completeness of the gene models was assessed using BUSCO v.4.0.4, with the Eukaryota database of near-universally single-copy orthologous genes from OrthoDB (v.10)<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 73\" title=\"Kuznetsov, D. et al. OrthoDB v11: annotation of orthologs in the widest sampling of organismal diversity. Nucleic Acids Res. 51, D445&#x2013;D451 (2023).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR73\" id=\"ref-link-section-d185662323e3340\" rel=\"nofollow noopener\" target=\"_blank\">73<\/a>,<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 74\" title=\"Manni, M., Berkeley, M. R., Seppey, M., Sim&#xE3;o, F. A. &amp; Zdobnov, E. M. BUSCO update: novel and streamlined workflows along with broader and deeper phylogenetic coverage for scoring of eukaryotic, prokaryotic, and viral genomes. Mol. Biol. Evol. 38, 4647&#x2013;4654 (2021).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR74\" id=\"ref-link-section-d185662323e3343\" rel=\"nofollow noopener\" target=\"_blank\">74<\/a>. This analysis revealed that the genome annotation is 83.6% complete. Lastly, tRNAs were identified in the genome assembly using tRNAscan-SE (v.2.0.9)<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 75\" title=\"Chan, P. P. &amp; Lowe, T. M. in Gene Prediction, Vol. 1962 (ed. Kollmar, M.) 1&#x2013;14 (Springer, 2019).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR75\" id=\"ref-link-section-d185662323e3347\" rel=\"nofollow noopener\" target=\"_blank\">75<\/a>, resulting in 237 tRNA models.<\/p>\n<p>A final decontamination step was performed to remove putative bacterial contaminant sequences from H. oceani (NCBI accession: <a href=\"https:\/\/www.ncbi.nlm.nih.gov\/datasets\/genome\/GCF_963677335.1\/\" rel=\"nofollow noopener\" target=\"_blank\">GCF_963677335.1<\/a>), the bacterial food source used in C. flexa cultures. Three scaffolds were identified as probable contaminants by BLAST and removed from the final assembly (<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">Supplementary Information<\/a>).<\/p>\n<p>The final C. flexa genome assembly spanned 56,404,751\u2009base pairs (bp) across 528 scaffolds, with a GC content of 50.83%. The assembly N50 and L50 values were 1,302,044\u2009bp and 16 scaffolds, respectively, and the largest scaffold measured 3,795,244\u2009bp, indicating high assembly contiguity. The final genome annotation encoded 14,084 genes with an overall BUSCO completeness of 82.8%.<\/p>\n<p>Whole-genome short-read sequencing of C. flexa strains isolated in the field<\/p>\n<p>Cultures of strains 1, 2 and 3 were established after a single-cell bottleneck. gDNA was collected from dense cultures using either a lysis buffer coupled with ethanol and sodium acetate precipitation, or the Blood &amp; Cell Culture DNA Mini Kit (13323, Qiagen) (<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">Supplementary Information<\/a>). All gDNA samples were shipped to Eurofins Genomics for INVIEW Resequencing (10\u2009million paired-end reads, Illumina 150\u2009bp sequencing). Paired-end reads were quality assessed and trimmed using FASTP (v.0.20.1)<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 76\" title=\"Chen, S., Zhou, Y., Chen, Y. &amp; Gu, J. fastp: an ultra-fast all-in-one FASTQ preprocessor. Bioinformatics 34, i884&#x2013;i890 (2018).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR76\" id=\"ref-link-section-d185662323e3391\" rel=\"nofollow noopener\" target=\"_blank\">76<\/a>. Qualified reads were aligned to the C. flexa reference genome using BWA-MEM (v.0.7.17)<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 77\" title=\"Li, H. Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM. Preprint at &#010;                arxiv.org\/abs\/1303.3997&#010;                &#010;               (2013).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR77\" id=\"ref-link-section-d185662323e3398\" rel=\"nofollow noopener\" target=\"_blank\">77<\/a>. The mapped reads were converted to BAM format and sorted using Samtools (v.1.18)<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 78\" title=\"Li, H. et al. The Sequence Alignment\/Map format and SAMtools. Bioinformatics 25, 2078&#x2013;2079 (2009).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR78\" id=\"ref-link-section-d185662323e3402\" rel=\"nofollow noopener\" target=\"_blank\">78<\/a>. Duplicate reads were marked using GATK (v.4.1.9.0)<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 79\" title=\"Van der Auwera, G. A. &amp; O&#x2019;Connor B. D. Genomics in the Cloud: Using Docker, GATK, and WDL in Terra. (O&#x2019;Reilly Media, 2020).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR79\" id=\"ref-link-section-d185662323e3407\" rel=\"nofollow noopener\" target=\"_blank\">79<\/a>, and BAM files were indexed using Samtools v.1.18. Variant calling was performed using GATK HaplotypeCaller, applying different ploidy assumptions (ploidy\u2009=\u20091, 2 and 4) to detect potential polymorphisms across samples. The resulting variants were jointly genotyped for each ploidy condition using the GATK GenotypeGVCF function<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 80\" title=\"Poplin, R. et al. Scaling accurate genetic variant discovery to tens of thousands of samples. Preprint at bioRxiv &#010;                https:\/\/doi.org\/10.1101\/201178&#010;                &#010;               (2017).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR80\" id=\"ref-link-section-d185662323e3411\" rel=\"nofollow noopener\" target=\"_blank\">80<\/a>.<\/p>\n<p>Phylogenomic tree construction<\/p>\n<p>We realized that, although strains 2 and 3 seemed to be haploid, strain 1 (ChoPs7) exhibited a diploid-like pattern of allelic frequencies in scaffold_1, as assessed using ploidyNGS<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 81\" title=\"Augusto Corr&#xEA;a Dos Santos, R., Goldman, G. H. &amp; Ria&#xF1;o-Pach&#xF3;n, D. M. ploidyNGS: visually exploring ploidy with next generation sequencing data. Bioinformatics 33, 2575&#x2013;2576 (2017).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR81\" id=\"ref-link-section-d185662323e3423\" rel=\"nofollow noopener\" target=\"_blank\">81<\/a>. To accommodate samples with potentially differing ploidy levels, we used SNPs called under a diploid assumption and found homozygous across all samples for downstream analysis. Variants were filtered using BCFtools in Samtools (v.1.18)<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 82\" title=\"Danecek, P. et al. Twelve years of SAMtools and BCFtools. GigaScience 10, giab008 (2021).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR82\" id=\"ref-link-section-d185662323e3427\" rel=\"nofollow noopener\" target=\"_blank\">82<\/a> with the following criteria: quality score\u2009&gt;\u200930, filtered read depth\u2009&gt;\u20094, variant type\u2009=\u2009\u2018SNP\u2019, minimum and maximum allowed alleles\u2009=\u20092 and homozygous genotypes across all samples. The resulting VCF files were converted to PHYLIP format as input for IQ-TREE using the vcfR package<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 83\" title=\"Knaus, B. J. &amp; Gr&#xFC;nwald, N. J. vcfr: a package to manipulate and visualize variant call format data in R. Mol. Ecol. Resour. 17, 44&#x2013;53 (2017).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR83\" id=\"ref-link-section-d185662323e3431\" rel=\"nofollow noopener\" target=\"_blank\">83<\/a> in R (v.4.1.1). A phylogenomic tree of all samples was constructed based on the identified SNPs using IQ-TREE (v.2.3.2) with the general time reversible (GTR) substitution model, gamma-distributed rate variation and ascertainment bias correction<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 84\" title=\"Nguyen, L.-T., Schmidt, H. A., Von Haeseler, A. &amp; Minh, B. Q. IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol. Biol. Evol. 32, 268&#x2013;274 (2015).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR84\" id=\"ref-link-section-d185662323e3435\" rel=\"nofollow noopener\" target=\"_blank\">84<\/a>,<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 85\" title=\"Hoang, D. T., Chernomor, O., Von Haeseler, A., Minh, B. Q. &amp; Vinh, L. S. UFBoot2: improving the ultrafast bootstrap approximation. Mol. Biol. Evol. 35, 518&#x2013;522 (2018).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR85\" id=\"ref-link-section-d185662323e3438\" rel=\"nofollow noopener\" target=\"_blank\">85<\/a>. The output tree structure was visualized using iTOL (v.6.9.1)<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 86\" title=\"Letunic, I. &amp; Bork, P. Interactive Tree of Life (iTOL) v6: recent updates to the phylogenetic tree display and annotation tool. Nucleic Acids Res. 52, W78&#x2013;W82 (2024).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR86\" id=\"ref-link-section-d185662323e3442\" rel=\"nofollow noopener\" target=\"_blank\">86<\/a>.<\/p>\n<p>Identification of polymorphic sites under putative diversifying selection<\/p>\n<p>Coding sequences for each strain were inferred from the variant data using vcf2fasta (<a href=\"https:\/\/github.com\/yeeus\/vcf2fasta\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/github.com\/yeeus\/vcf2fasta<\/a>). Inferred coding sequences were programmatically checked across all reference sequences, and genes with incorrect inferences were removed from the analysis. Variants were jointly called for all strains using the GATK (v.4.1.9.0) and filtered according to the recommended parameters from the GATK team. The inferred coding sequences of each gene were checked for length integrity, retaining only those that were a multiple of 3, of equal length across strains and containing no gaps. Genes that did not satisfy those criteria were aligned using Clustal-omega (v.1.2.4), and those genes that introduced gaps that were not in multiples of 3 (causing frameshifts) were removed from the downstream analyses. To compare predicted protein sequences across strains, we computed the number of non-synonymous substitutions across the strains using Biopython (v.1.85)<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 87\" title=\"Cock, P. J. A. et al. Biopython: freely available Python tools for computational molecular biology and bioinformatics. Bioinformatics 25, 1422&#x2013;1423 (2009).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR87\" id=\"ref-link-section-d185662323e3462\" rel=\"nofollow noopener\" target=\"_blank\">87<\/a>. The Ka\/Ks ratio (that is, the dN\/dS ratio) was calculated between strains to identify genes under putative diversifying selection. Moreover, we additionally computed sliding-window Ka\/Ks ratios to capture localized signals of selection for subregions of each sequence, using KaKs_Calculator 2.0 with a window size\u2009=\u2009114\u2009bp and step size\u2009=\u20096\u2009bp, and computed the Ka\/Ks ratio using KaKs_Calculator 3.0 with the MYN method<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 88\" title=\"Wang, D., Zhang, Y., Zhang, Z., Zhu, J. &amp; Yu, J. KaKs_Calculator 2.0: a toolkit incorporating gamma-series methods and sliding window strategies. Genom. Proteom. Bioinform. 8, 77&#x2013;80 (2010).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR88\" id=\"ref-link-section-d185662323e3492\" rel=\"nofollow noopener\" target=\"_blank\">88<\/a>,<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 89\" title=\"Zhang, Z. KaKs_Calculator 3.0: calculating selective pressure on coding and non-coding sequences. Genom. Proteom. Bioinform. 20, 536&#x2013;540 (2022).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR89\" id=\"ref-link-section-d185662323e3495\" rel=\"nofollow noopener\" target=\"_blank\">89<\/a>. We defined regions with Ka\/Ks ratio\u2009&gt;\u20092 for at least 30\u2009bp as a high Ka\/Ks region.<\/p>\n<p>To explore functional enrichment, we computed InterPro signatures overlapping high Ka\/Ks regions. InterPro signatures of the C. flexa predicted proteome were obtained using InterProScan (v.5.50-84.0)<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 90\" title=\"Blum, M. et al. The InterPro protein families and domains database: 20 years on. Nucleic Acids Res. 49, D344&#x2013;D354 (2021).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR90\" id=\"ref-link-section-d185662323e3530\" rel=\"nofollow noopener\" target=\"_blank\">90<\/a>,<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 91\" title=\"Jones, P. et al. InterProScan 5: genome-scale protein function classification. Bioinformatics 30, 1236&#x2013;1240 (2014).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR91\" id=\"ref-link-section-d185662323e3533\" rel=\"nofollow noopener\" target=\"_blank\">91<\/a>. The InterPro signature enrichment was performed using Fisher\u2019s exact test in the base R stats package, comparing the frequency of each InterPro signature within versus outside high Ka\/Ks regions. Enrichment analysis results were visualized using tidyverse (v.2.0.0)<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 92\" title=\"Wickham, H. et al. Welcome to the Tidyverse. JOSS 4, 1686 (2019).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR92\" id=\"ref-link-section-d185662323e3546\" rel=\"nofollow noopener\" target=\"_blank\">92<\/a>.<\/p>\n<p>Kin recognition experiments<\/p>\n<p>Approximately 40\u2009ml of dense cultures of strains 1, 2 and 3 were collected, washed and stained with CellTrace CFSE (green) and CellTrace Far Red (magenta) as described above. Green- and magenta-labelled single-cell populations from each strain were mixed in a 1:1 ratio (5\u2009\u00d7\u2009103 cells of each colour) in 1\u2009ml SWC medium in a 24-well plate and incubated overnight at 25\u2009\u00b0C. After incubation, 100\u2009\u00b5l of each sample were transferred into a 96-well plate and colonies were imaged in by DIC microscopy and epifluorescence microscopy on the Zeiss Axio Observer Z.1 inverted microscope. Green and magenta cells were manually counted, and kin recognition was quantified by calculating a segregation index between every pairwise strain combination defined in an previous study<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 93\" title=\"Estrela, S. &amp; Brown, S. P. Metabolic and demographic feedbacks shape the emergent spatial structure and function of microbial communities. PLoS Comput. Biol. 9, e1003398 (2013).\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR93\" id=\"ref-link-section-d185662323e3560\" rel=\"nofollow noopener\" target=\"_blank\">93<\/a> (<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">Supplementary Information<\/a>).<\/p>\n<p>Statistical analyses<\/p>\n<p>The significance of differences in pairwise comparisons was tested using the non-parametric Mann\u2013Whitney U-test. Shapiro\u2013Wilk normality test and F-test were used to evaluate data normality and the differences in variances between conditions, respectively. All statistical analyses were performed in R\u00a0Statistical Software (v.4.4.1)<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 94\" title=\"R Core Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2021)\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#ref-CR94\" id=\"ref-link-section-d185662323e3581\" rel=\"nofollow noopener\" target=\"_blank\">94<\/a>\u00a0using the base stats package (v.3.6.3).<\/p>\n<p>Reporting summary<\/p>\n<p>Further information on research design is available in the\u00a0<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-026-10137-y#MOESM2\" rel=\"nofollow noopener\" target=\"_blank\">Nature Portfolio Reporting Summary<\/a> linked to this article.<\/p>\n","protected":false},"excerpt":{"rendered":"A full description of the methods is provided in the Supplementary Information. All dilution percentages are v\/v unless&hellip;\n","protected":false},"author":3,"featured_media":617972,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_share_on_mastodon":"0"},"categories":[8],"tags":[264688,16278,110301,10046,10047,159,67,132,68],"class_list":["post-617971","post","type-post","status-publish","format-standard","has-post-thumbnail","category-science","tag-cellular-imaging","tag-evolution","tag-evolutionary-developmental-biology","tag-humanities-and-social-sciences","tag-multidisciplinary","tag-science","tag-united-states","tag-unitedstates","tag-us"],"share_on_mastodon":{"url":"https:\/\/pubeurope.com\/@us\/116138088246541918","error":""},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/posts\/617971","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/comments?post=617971"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/posts\/617971\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/media\/617972"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/media?parent=617971"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/categories?post=617971"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/tags?post=617971"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}