Literature DB >> 23271157

A statistical design for testing apomictic diversification through linkage analysis.

Yanru Zeng1, Wei Hou, Shuang Song, Sisi Feng, Lin Shen, Guohua Xia, Rongling Wu.   

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.

Entities:  

Keywords:  apomixes; linkage analysis; reciprocal design; species diversification

Mesh:

Year:  2012        PMID: 23271157     DOI: 10.1093/bib/bbs080

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  1 in total

1.  Development of SSR Markers in Hickory (Carya cathayensis Sarg.) and Their Transferability to Other Species of Carya.

Authors:  Juan Li; Yanru Zeng; Dengfeng Shen; Guohua Xia; Yinzhi Huang; Youjun Huang; Jun Chang; Jianqin Huang; Zhengjia Wang
Journal:  Curr Genomics       Date:  2014-10       Impact factor: 2.236

  1 in total

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