Literature DB >> 24371174

QTL mapping for combining ability in different population-based NCII designs: a simulation study.

Lanzhi Li1, Congwei Sun, Yuan Chen, Zhijun Dai, Zhen Qu, Xingfei Zheng, Sibin Yu, Tongmin Mou, Chenwu Xu, Zhongli Hu.   

Abstract

The NCII design (North Carolina mating design II) has been widely applied in studies of combining ability and heterosis. The objective of our research was to estimate how different base populations, sample sizes, testcross numbers and heritability influence QTL analyses of combining ability and heterosis. A series of Monte Carlo simulation experiments with QTL mapping were then conducted for the base population performance, testcross population phenotypic values and the general combining ability (GCA), specific combining ability (SCA) and Hmp (midparental heterosis) datasets. The results indicated that: (i) increasing the number of testers did not necessarily enhance the QTL detection power for GCA, but it was significantly related to the QTL effect. (ii) The QTLs identified in the base population may be different from those from GCA dataset. Similar phenomena can be seen from QTL detected in SCA and Hmp datasets. (iii) The QTL detection power for GCA ranked in the order of DH(RIL) based > F2 based > BC based NCII design, when the heritability was low. The recombinant inbred lines (RILs) (or DHs) allows more recombination and offers higher mapping resolution than other populations. Further, their testcross progeny can be repeatedly generated and phenotyped. Thus, RIL based (or DH based) NCII design was highly recommend for combining ability QTL analysis. Our results expect to facilitate selecting elite parental lines with high combining ability and for geneticists to research the genetic basis of combining ability.

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Year:  2013        PMID: 24371174     DOI: 10.1007/s12041-013-0311-6

Source DB:  PubMed          Journal:  J Genet        ISSN: 0022-1333            Impact factor:   1.166


  23 in total

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9.  Heterosis for biomass-related traits in Arabidopsis investigated by quantitative trait loci analysis of the triple testcross design with recombinant inbred lines.

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Journal:  Genetics       Date:  2007-11       Impact factor: 4.562

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  4 in total

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3.  Analysis of heterosis and quantitative trait loci for kernel shape related traits using triple testcross population in maize.

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Journal:  PLoS One       Date:  2015-04-28       Impact factor: 3.240

4.  Genetic dissection of heterosis using epistatic association mapping in a partial NCII mating design.

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Journal:  Sci Rep       Date:  2015-12-17       Impact factor: 4.379

  4 in total

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