Joint analysis of days to flowering reveals independent temperate adaptations in maize. (Record no. 52812)

MARC details
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fixed length control field 02739nam a2200289Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field MX-MdCICY
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250625162416.0
040 ## - CATALOGING SOURCE
Transcribing agency CICY
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) B-18666
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245 10 - TITLE STATEMENT
Title Joint analysis of days to flowering reveals independent temperate adaptations in maize.
490 0# - SERIES STATEMENT
Volume/sequential designation Heredity, 126(6), p.929-941, 2021
520 3# - SUMMARY, ETC.
Summary, etc. Modulating days to flowering is a key mechanism in plants for adapting to new environments, and variation in days to flowering drives population structure by limiting mating. To elucidate the genetic architecture of flowering across maize, a quantitative trait, we mapped flowering in five global populations, a diversity panel (Ames)and four half-sib mapping designs, Chinese (CNNAM), US (USNAM), and European Dent (EUNAM-Dent)and Flint (EUNAM-Flint). Using whole-genome projected SNPs, we tested for joint association using GWAS, resampling GWAS and two regional approaches; Regional Heritability Mapping (RHM)(1, 2)and a novel method, Boosted Regional Heritability Mapping (BRHM). Direct overlap in significant regions detected between populations and flowering candidate genes was limited, but whole-genome cross-population predictive abilities were ?0.78. Poor predictive ability correlated with increased population differentiation (r = 0.41), unless the parents were broadly sampled from across the North American temperate-tropical germplasm gradient; uncorrected GWAS results from populations with broadly sampled parents were well predicted by temperate-tropical FSTs in machine learning. Machine learning between GWAS results also suggested shared architecture between the American panels and, more distantly, the European panels, but not the Chinese panel. Machine learning approaches can reconcile non-linear relationships, but the combined predictive ability of all of the populations did not significantly enhance prediction of physiological candidates. While the North American-European temperate adaption is well studied, this study suggest independent temperate adaptation evolved in the Chinese panel, most likely in China after 1500, a finding supported by differential gene ontology term enrichment between populations.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element MAIZE GENETICS
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element FLOWERING ADAPTATION
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element JOINT MAPPING
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element CROSS-POPULATION PREDICTION
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Swarts, K.
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Bauer, E.
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Glaubitz, J. C.
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Ho, T.
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Johnson, L.
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Li, Y.
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Bradbury, P.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://drive.google.com/file/d/1-wWx3brc-LzPgoIXeqM4hALuIEEYGz6Z/view?usp=drivesdk">https://drive.google.com/file/d/1-wWx3brc-LzPgoIXeqM4hALuIEEYGz6Z/view?usp=drivesdk</a>
Public note Para ver el documento ingresa a Google con tu cuenta: @cicy.edu.mx
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Source of classification or shelving scheme Clasificación local
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  Clasificación local     Ref1 CICY CICY Documento préstamo interbibliotecario 25.06.2025   B-18666 25.06.2025 25.06.2025 Documentos solicitados