{"doi":"10.3732/ajb.1500408","title":"Evaluating the role of genome downsizing and size thresholds from genome size distributions in angiosperms","abstract":"<jats:sec><jats:title>PREMISE OF THE STUDY:</jats:title><jats:p>Whole‐genome duplications (WGDs) can rapidly increase genome size in angiosperms. Yet their mean genome size is not correlated with ploidy. We compared three hypotheses to explain the constancy of genome size means across ploidies. The genome downsizing hypothesis suggests that genome size will decrease by a given percentage after a WGD. The genome size threshold hypothesis assumes that taxa with large genomes or large monoploid numbers will fail to undergo or survive WGDs. Finally, the genome downsizing and threshold hypothesis suggests that both genome downsizing and thresholds affect the relationship between genome size means and ploidy.</jats:p></jats:sec><jats:sec><jats:title>METHODS:</jats:title><jats:p>We performed nonparametric bootstrap simulations to compare observed angiosperm genome size means among species or genera against simulated genome sizes under the three different hypotheses. We evaluated the hypotheses using a decision theory approach and estimated the expected percentage of genome downsizing.</jats:p></jats:sec><jats:sec><jats:title>KEY RESULTS:</jats:title><jats:p>The threshold hypothesis improves the approximations between mean genome size and simulated genome size. At the species level, the genome downsizing with thresholds hypothesis best explains the genome size means with a 15% genome downsizing percentage. In the genus level simulations, the monoploid number threshold hypothesis best explains the data.</jats:p></jats:sec><jats:sec><jats:title>CONCLUSIONS:</jats:title><jats:p>Thresholds of genome size and monoploid number added to genome downsizing at species level simulations explain the observed means of angiosperm genome sizes, and monoploid number is important for determining the genome size mean at the genus level.</jats:p></jats:sec>","journal":"American Journal of Botany","year":2016,"id":590342,"datarank":1.4132777331879536,"base_score":3.8501476017100584,"endowment":3.8501476017100584,"self_citation_contribution":0.5775221402565088,"citation_network_contribution":0.8357555929314447,"self_endowment_contribution":0.5775221402565088,"citer_contribution":0.8357555929314447,"corpus_percentile":null,"corpus_rank":null,"citation_count":46,"citer_count":44,"citers_with_citation_signal":38,"citers_with_endowment":38,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1510452,"name":"José M. Ponciano","orcid":null,"position":1,"is_corresponding":false},{"id":594452,"name":"J. Gordon Burleigh","orcid":null,"position":2,"is_corresponding":false},{"id":981491,"name":"Rosana Zenil‐Ferguson","orcid":"0000-0002-9083-2972","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Evaluating the role of genome downsizing and size thresholds from genome size distributions in angiosperms","abstract":"<jats:sec><jats:title>PREMISE OF THE STUDY:</jats:title><jats:p>Whole‐genome duplications (WGDs) can rapidly increase genome size in angiosperms. Yet their mean genome size is not correlated with ploidy. We compared three hypotheses to explain the constancy of genome size means across ploidies. The genome downsizing hypothesis suggests that genome size will decrease by a given percentage after a WGD. The genome size threshold hypothesis assumes that taxa with large genomes or large monoploid numbers will fail to undergo or survive WGDs. Finally, the genome downsizing and threshold hypothesis suggests that both genome downsizing and thresholds affect the relationship between genome size means and ploidy.</jats:p></jats:sec><jats:sec><jats:title>METHODS:</jats:title><jats:p>We performed nonparametric bootstrap simulations to compare observed angiosperm genome size means among species or genera against simulated genome sizes under the three different hypotheses. We evaluated the hypotheses using a decision theory approach and estimated the expected percentage of genome downsizing.</jats:p></jats:sec><jats:sec><jats:title>KEY RESULTS:</jats:title><jats:p>The threshold hypothesis improves the approximations between mean genome size and simulated genome size. At the species level, the genome downsizing with thresholds hypothesis best explains the genome size means with a 15% genome downsizing percentage. In the genus level simulations, the monoploid number threshold hypothesis best explains the data.</jats:p></jats:sec><jats:sec><jats:title>CONCLUSIONS:</jats:title><jats:p>Thresholds of genome size and monoploid number added to genome downsizing at species level simulations explain the observed means of angiosperm genome sizes, and monoploid number is important for determining the genome size mean at the genus level.</jats:p></jats:sec>","is_dataset_classified":null,"base_score":3.8501476017100584,"endowment":3.8501476017100584,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"27206462","pmcid":null,"openalex_id":"https://openalex.org/W2380089835","authors":[],"funders":[{"funder_name":"NSF IGERT program","grant_id":"DGE-0801544","title":null},{"funder_name":"NSF IGERT program","grant_id":"NSF DDIG","title":null},{"funder_name":"NSF IGERT program","grant_id":"DEB-1501547","title":null}],"total_grants":3,"fwci":3.4716,"citation_percentile":0.92345058,"influential_citations":0,"citation_trend":[{"year":2016,"count":1},{"year":2017,"count":2},{"year":2018,"count":4},{"year":2019,"count":5},{"year":2020,"count":4},{"year":2021,"count":6},{"year":2022,"count":2},{"year":2023,"count":9},{"year":2024,"count":8},{"year":2025,"count":2},{"year":2026,"count":3}],"oa_status":"bronze","license":"http://onlinelibrary.wiley.com/termsAndConditions#vor","oa_locations":[{"url":"https://bsapubs.onlinelibrary.wiley.com/doi/pdfdirect/10.3732/ajb.1500408","host_type":"journal"},{"url":"https://bsapubs.onlinelibrary.wiley.com/doi/pdfdirect/10.3732/ajb.1500408","host_type":"publisher"},{"url":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.3732%2Fajb.1500408","host_type":"publisher"},{"url":"https://bsapubs.onlinelibrary.wiley.com/doi/pdf/10.3732/ajb.1500408","host_type":"publisher"},{"url":"https://doi.org/10.3732/ajb.1500408","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/27206462","host_type":"repository"}],"fields_of_study":["Genome Rearrangement Algorithms","Chromosomal and Genetic Variations","Genomics and Phylogenetic Studies","Biological Evolution","Computer Simulation","Genome Size","Genome, Plant","Linear Models","Magnoliopsida","Ploidies"],"mesh_terms":["Computer Simulation","Biological Evolution","Ploidies","Linear Models","Genome, Plant","Magnoliopsida","Genome Size"],"keywords":["Genome size","Genome","Biology","Genome evolution","Ploidy","Gene density","Evolutionary biology","Genetics","Gene","Polyploidy","Genome Downsizing","Large Genome Thresholds","Monoploid Number","Whole-genome Duplications"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-07-24T18:04:58.378991Z","pmid":null,"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":[]}