ArticleGenetics2002
Statistical methods for dissecting triploid endosperm traits using molecular markers. An autogamous model.
Article in Genetics, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 28 citations in OpenAlex.
- Mapping complex traits as a dynamic system.Physics of life reviews · 2015Review
- Statistical dissection of cyto-nuclear epistasis subject to genomic imprinting in line crosses.PloS one · 2014Article
- A statistical model for estimating maternal-zygotic interactions and parent-of-origin effects of QTLs for seed development.PloS one · 2008Article
- The QTL analysis on maternal and endosperm genome and their environmental interactions for characters of cooking quality in rice (Oryza sativa L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2008Article
- Mapping quantitative trait loci using the experimental designs of recombinant inbred populations.Genetics · 2006Article
- Article
- Mapping quantitative trait Loci interactions from the maternal and offspring genomes.Genetics · 2004Article
- An improved genetic model generates high-resolution mapping of QTL for protein quality in maize endosperm.Proceedings of the National Academy of Sciences of the United States of America · 2002Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The endosperm, a result of double fertilization in flowering plants, is a triploid tissue whose genetic composition is more complex than diploid tissue. We present a new maximum-likelihood-based statistical method for mapping quantitative trait loci (QTL) underlying endosperm traits in an autogamous plant. Genetic mapping of quantitative endosperm traits is qualitatively different from traits for other plant organs because the endosperm displays complicated trisomic inheritance and represents a younger generation than its mother plant. Our endosperm mapping method is based on two different experimental designs: (1) a one-stage design in which marker information is derived from the maternal genome and (2) a two-stage hierarchical design in which marker information is derived from both the maternal and offspring genomes (embryos). Under the one-stage design, the position and additive effect of a putative QTL can be well estimated, but the estimates of the dominant and epistatic effects are upward biased and imprecise. The two-stage hierarchical design, which extracts more genetic information from the material, typically improves the accuracy and precision of the dominant and epistatic effects for an endosperm trait. We discuss the effects on the estimation of QTL parameters of different sampling strategies under the two-stage hierarchical design. Our method will be broadly useful in mapping endosperm traits for many agriculturally important crop plants and also make it possible to study the genetic significance of double fertilization in the evolution of higher plants.
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