The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Genetic diversity and selection in the maize starch pathway
Open accessAbstract
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.
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Citations
Cites
The limits of selection during maize domestication
Wang, R.-L., Stec, A., Hey, J., Lukens, L., & Doebley, J. (1999) · Nature · doi:10.1038/18435 · Cited by 740
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Metadata
- Authors
- Whitt, S. R., Wilson, L. M., Tenaillon, M. I., Gaut, B. S., & Buckler, E. S.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2002-09-20
- Volume
- 99
- Issue
- 20
- Pages
- 12959-12962
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2111306681
- Cited by
- 339
- References
- 1
- FWCI
- 6.84
- Type
- journal article
- Language
- en
- Open access
- green
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