NDLI: Tracking footprints of selection associated with soybean adaptation to Central-East Europe environments

Content Provider	Springer Nature Link
Author	Tomicic, Marina Djordjevic, Vuk Obreht, Dragana Miladivic, Jegor Brbaklic, Ljiljana Mikic, Aleksandar Mikic, Sanja
Copyright Year	2014
Abstract	The identification of genomic regions affected by phenotypic selection during breeding is important for elucidating the genetic basis of complex traits underlying adaptation to a specific target environment. This study investigated the soybean (Glycine max (L.) Merr.) adaptation in Central-East European environments by a hitchhiking mapping approach and pedigree analysis. Population genetic principles were applied to microsatellite markers using multiple outlier detection tests. The analyzed populations comprised ancestral and elite varieties. Genetic diversity parameters showed significant differences between the populations. Eight markers were considered as strong positive selection candidate loci, indicating regions involved in the adaptation. Bottleneck tests provided no evidence of population bottlenecks for the candidate positive selection loci, suggesting that selection might shaped the pattern of genetic diversity in these regions. Co-localisation of the candidate positive selection loci and previously mapped quantitative trait loci (QTLs) revealed a high level of agreement between the identified QTLs and the traits expected to be under selection during soybean breeding. The identification and differentiation of selectively important QTLs have practical importance for future breeding programs, aiming at developing varieties for a specific target environment.
Starting Page	701
Ending Page	713
Page Count	13
File Format	PDF
ISSN	00142336
Journal	Euphytica
Volume Number	203
Issue Number	3
e-ISSN	15735060
Language	English
Publisher	Springer Netherlands
Publisher Date	2014-12-02
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Soybean Hitchhiking mapping Microsatellites Selection Adaptation Plant Sciences Plant Genetics & Genomics Plant Pathology Plant Physiology Biotechnology
Content Type	Text
Resource Type	Article
Subject	Genetics Plant Science Horticulture Agronomy and Crop Science

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