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PMID: 12244216 Published · ppublish English Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Genetic diversity and selection in the maize starch pathway.

Whitt SR, Wilson LM, Tenaillon MI, Gaut BS, Buckler ES

Abstract

Maize is both phenotypically and genetically diverse. Sequence studies generally confirm the extensive genetic variability in modern maize is consistent with a lack of selection. For more than 6,000 years, Native Americans and modern breeders have exploited the tremendous genetic diversity of maize (Zea mays ssp. mays) to create the highest yielding grain crop in the world. Nonetheless, some loci have relatively low levels of genetic variation, particularly loci that have been the target of artificial selection, like c1 and tb1. However, there is limited information on how selection may affect an agronomically important pathway for any crop. These pathways may retain the signature of artificial selection and may lack genetic variation in contrast to the rest of the genome. To evaluate the impact of selection across an agronomically important pathway, we surveyed nucleotide diversity at six major genes involved in starch metabolism and found unusually low genetic diversity and strong evidence of selection. Low diversity in these critical genes suggests that a paradigm shift may be required for future maize breeding. Rather than relying solely on the diversity within maize or on transgenics, future maize breeding would perhaps benefit from the incorporation of alleles from maize's wild relatives.

MeSH Terms
Genetic Variation Genome, Plant Genotype Molecular Sequence Data Phenotype Starch/genetics Zea mays/genetics
Chemicals
Starch
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Whitt Sherry R
U.S. Department of Agriculture/Agricultural Research Service, Raleigh, NC 27695-7614, USA.
Wilson Larissa M
Tenaillon Maud I
Gaut Brandon S
Buckler Edward S
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Article Info
Journal
Proceedings of the National Academy of Sciences of the United States of America
Abbr.
Proc Natl Acad Sci U S A
ISSN
0027-8424
Published
2002-10-01
Epub
2002-00-20
Pages
12959-62
Language
English
Region
United States
NLM ID
7505876
PMCID
PMC130568
Subset
IM
Databases
GENBANK
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