Tracking footprints of selection associated with soybean adaptation to Central-East Europe environments
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2015
Authors
Tomičić, MarinaĐorđević, Vuk
Obreht, Dragana
Miladinović, Jegor
Brbaklić, Ljiljana
Mikić, Aleksandar
Mikić, Sanja
Article (Published version)
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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 sele...ction 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.
Keywords:
Soybean / Hitchhiking mapping / Microsatellites / Selection / AdaptationSource:
Euphytica, 2015, 203, 3, 701-713Publisher:
- Springer, Dordrecht
Funding / projects:
- Interdisciplinary Approach to Development of New Soybean Varieties and Improvement of the Cultivation Practices and Seed Production (RS-MESTD-Technological Development (TD or TR)-31022)
DOI: 10.1007/s10681-014-1313-z
ISSN: 0014-2336
WoS: 000354819700018
Scopus: 2-s2.0-84929954686
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FiVeRTY - JOUR AU - Tomičić, Marina AU - Đorđević, Vuk AU - Obreht, Dragana AU - Miladinović, Jegor AU - Brbaklić, Ljiljana AU - Mikić, Aleksandar AU - Mikić, Sanja PY - 2015 UR - http://fiver.ifvcns.rs/handle/123456789/1449 AB - 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. PB - Springer, Dordrecht T2 - Euphytica T1 - Tracking footprints of selection associated with soybean adaptation to Central-East Europe environments EP - 713 IS - 3 SP - 701 VL - 203 DO - 10.1007/s10681-014-1313-z ER -
@article{ author = "Tomičić, Marina and Đorđević, Vuk and Obreht, Dragana and Miladinović, Jegor and Brbaklić, Ljiljana and Mikić, Aleksandar and Mikić, Sanja", year = "2015", 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.", publisher = "Springer, Dordrecht", journal = "Euphytica", title = "Tracking footprints of selection associated with soybean adaptation to Central-East Europe environments", pages = "713-701", number = "3", volume = "203", doi = "10.1007/s10681-014-1313-z" }
Tomičić, M., Đorđević, V., Obreht, D., Miladinović, J., Brbaklić, L., Mikić, A.,& Mikić, S.. (2015). Tracking footprints of selection associated with soybean adaptation to Central-East Europe environments. in Euphytica Springer, Dordrecht., 203(3), 701-713. https://doi.org/10.1007/s10681-014-1313-z
Tomičić M, Đorđević V, Obreht D, Miladinović J, Brbaklić L, Mikić A, Mikić S. Tracking footprints of selection associated with soybean adaptation to Central-East Europe environments. in Euphytica. 2015;203(3):701-713. doi:10.1007/s10681-014-1313-z .
Tomičić, Marina, Đorđević, Vuk, Obreht, Dragana, Miladinović, Jegor, Brbaklić, Ljiljana, Mikić, Aleksandar, Mikić, Sanja, "Tracking footprints of selection associated with soybean adaptation to Central-East Europe environments" in Euphytica, 203, no. 3 (2015):701-713, https://doi.org/10.1007/s10681-014-1313-z . .