A statistical design for testing apomictic diversification through linkage analysis

Yanru Zeng, Wei Hou, Shuang Song, Sisi Feng, Lin Shen, Guohua Xia, Rongling Wu

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

The capacity of apomixis to generate maternal clones through seed reproduction has made it a useful characteristic for the fixation of heterosis in plant breeding. It has been observed that apomixis displays pronounced intra- and interspecific diversification, but the genetic mechanisms underlying this diversification remains elusive, obstructing the exploitation of this phenomenon in practical breeding programs. By capitalizing on molecular information in mapping populations, we describe and assess a statistical design that deploys linkage analysis to estimate and test the pattern and extent of apomictic differences at various levels from genotypes to species. The design is based on two reciprocal crosses between two individuals each chosen from a hermaphrodite or monoecious species. A multinomial distribution likelihood is constructed by combining marker information from two crosses. The EM algorithm is implemented to estimate the rate of apomixis and test its difference between two plant populations or species as the parents. The design is validated by computer simulation. A real data analysis of two reciprocal crosses between hickory (Carya cathayensis) and pecan (C. illinoensis) demonstrates the utilization and usefulness of the design in practice. The design provides a tool to address fundamental and applied questions related to the evolution and breeding of apomixis.

Original languageEnglish (US)
Article numberbbs080
Pages (from-to)306-318
Number of pages13
JournalBriefings in bioinformatics
Volume15
Issue number2
DOIs
StatePublished - Mar 2014

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Molecular Biology

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