دورية أكاديمية

Modeling copy number variation in the genomic prediction of maize hybrids

التفاصيل البيبلوغرافية
العنوان: Modeling copy number variation in the genomic prediction of maize hybrids
المؤلفون: Lyra, D. H., Galli, G., Alves, F. C., Granato, I. S. C., Vidotti, M. S., Sousa, M. B., Morosini, J. S., Crossa, J., Fritsche-Neto, R.
بيانات النشر: Springer
سنة النشر: 2019
المجموعة: Rothamsted Repository (Rothamsted Research)
الوصف: Non-additive effects resulting from the actions of multiple loci may influence trait variation in single-cross hybrids. In addition, complementation of allelic variation could be a valuable contributor to hybrid genetic variation, especially when crossing inbred lines with higher contents of copy gains. With this in mind, we aimed (1) to study the association between copy number variation (CNV) and hybrid phenotype, and (2) to compare the predictive ability (PA) of additive and additive–dominance genomic best linear unbiased prediction model when combined with the effects of CNV in two datasets of maize hybrids (USP and HELIX). In the USP dataset, we observed a significant negative phenotypic correlation of low magnitude between copy number loss and plant height, revealing a tendency that more copy losses lead to lower plants. In the same set, when CNV was combined with the additive plus dominance effects, the PA significantly increased only for plant height under low nitrogen. In this case, CNV effects explicitly capture relatedness between individuals and add extra information to the model. In the HELIX dataset, we observed a pronounced difference in PA between additive (0.50) and additive–dominance (0.71) models for predicting grain yield, suggesting a significant contribution of dominance. We conclude that copy variants may play an essential role in the phenotypic variation of complex traits in maize hybrids, although the inclusion of CNVs into datasets does not return significant gains concerning PA.
نوع الوثيقة: article in journal/newspaper
اللغة: unknown
العلاقة: https://doi.org/10.1007/s00122-018-3215-2Test; Lyra, D. H., Galli, G., Alves, F. C., Granato, I. S. C., Vidotti, M. S., Sousa, M. B., Morosini, J. S., Crossa, J. and Fritsche-Neto, R. 2019. Modeling copy number variation in the genomic prediction of maize hybrids. Theoretical and Applied Genetics. 132, pp. 273-288. https://doi.org/10.1007/s00122-018-3215-2Test
DOI: 10.1007/s00122-018-3215-2
الإتاحة: https://doi.org/10.1007/s00122-018-3215-2Test
https://repository.rothamsted.ac.uk/item/8wq2q/modeling-copy-number-variation-in-the-genomic-prediction-of-maize-hybridsTest
رقم الانضمام: edsbas.1E362235
قاعدة البيانات: BASE