The genetic architecture of maize flowering time

Edward S. Buckler, James B. Holland, Peter J. Bradbury, Charlotte B. Acharya, Patrick J. Brown, Chris Browne, Elhan Ersoz, Sherry Flint-Garcia, Arturo Garcia, Jeffrey C. Glaubitz, Major M. Goodman, Carlos Harjes, Kate Guill, Dallas E. Kroon, Sara Larsson, Nicholas K. Lepak, Huihui Li, Sharon E. Mitchell, Gael Pressoir, Jason A. PeifferMarco Oropeza Rosas, Torbert R. Rocheford, M. Cinta Romay, Susan Romero, Stella Salvo, Hector Sanchez Villeda, H. Sofia Da Silva, Qi Sun, Feng Tian, Narasimham Upadyayula, Doreen Ware, Heather Yates, Jianming Yu, Zhiwu Zhang, Stephen Kresovich, Michael D. McMullen

Research output: Contribution to journalArticlepeer-review

Abstract

Flowering time is a complex trait that controls adaptation of plants to their local environment in the outcrossing species Zea mays (maize). We dissected variation for flowering time with a set of 5000 recombinant inbred lines (maize Nested Association Mapping population, NAM). Nearly a million plants were assayed in eight environments but showed no evidence for any single large-effect quantitative trait loci (QTLs). Instead, we identified evidence for numerous small-effect QTLs shared among families; however, allelic effects differ across founder lines. We identified no individual QTLs at which allelic effects are determined by geographic origin or large effects for epistasis or environmental interactions. Thus, a simple additive model accurately predicts flowering time for maize, in contrast to the genetic architecture observed in the selfing plant species rice and Arabidopsis.

Original languageEnglish (US)
Pages (from-to)714-718
Number of pages5
JournalScience
Volume325
Issue number5941
DOIs
StatePublished - 2009
Externally publishedYes

ASJC Scopus subject areas

  • General

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