Format

Send to

Choose Destination
Nat Genet. 2017 Mar;49(3):476-480. doi: 10.1038/ng.3784. Epub 2017 Feb 6.

A study of allelic diversity underlying flowering-time adaptation in maize landraces.

Author information

1
School of Integrative Plant Sciences, Section of Plant Breeding and Genetics, Cornell University, Ithaca, New York, USA.
2
International Maize and Wheat Improvement Center (CIMMYT), Texcoco, México.
3
Institute for Genomic Diversity, Ithaca, New York, USA.
4
Instituto Nacional de Investigaciones Forestales Agrícolas y Pecuarias (INIFAP), Campo Experimental Bajio, Celaya, México.
5
Instituto Nacional de Investigaciones Forestales Agrícolas y Pecuarias (INIFAP), Campo Experimental Uruapan, Uruapan, México.
6
Instituto Nacional de Investigaciones Forestales Agrícolas y Pecuarias (INIFAP), Campo Experimental Santiago Ixcuintla, Santiago Ixcuintla, México.
7
Instituto Nacional de Investigaciones Forestales Agrícolas y Pecuarias (INIFAP), Campo Experimental Norman E. Borlaug, Ciudad Obregón, México.
8
Universidad Autonoma Agraria Antonio Narro, Torreon, México.
9
Instituto Nacional de Investigaciones Forestales Agrícolas y Pecuarias (INIFAP), Campo Experimental Iguala, Iguala, México.
10
US Department of Agriculture-Agricultural Research Service (USDA-ARS), Ithaca, New York, USA.

Abstract

Landraces (traditional varieties) of domesticated species preserve useful genetic variation, yet they remain untapped due to the genetic linkage between the few useful alleles and hundreds of undesirable alleles. We integrated two approaches to characterize the diversity of 4,471 maize landraces. First, we mapped genomic regions controlling latitudinal and altitudinal adaptation and identified 1,498 genes. Second, we used F-one association mapping (FOAM) to map the genes that control flowering time, across 22 environments, and identified 1,005 genes. In total, we found that 61.4% of the single-nucleotide polymorphisms (SNPs) associated with altitude were also associated with flowering time. More than half of the SNPs associated with altitude were within large structural variants (inversions, centromeres and pericentromeric regions). The combined mapping results indicate that although floral regulatory network genes contribute substantially to field variation, over 90% of the contributing genes probably have indirect effects. Our dual strategy can be used to harness the landrace diversity of plants and animals.

PMID:
28166212
DOI:
10.1038/ng.3784
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Nature Publishing Group
Loading ...
Support Center