scholarly journals Genetic Architecture of Floral Traits in Iris hexagona and Iris fulva

2013 ◽  
Vol 104 (6) ◽  
pp. 853-861 ◽  
Author(s):  
Amanda N. Brothers ◽  
Jessica G. Barb ◽  
Evangeline S. Ballerini ◽  
Douglas W. Drury ◽  
Steven J. Knapp ◽  
...  
2016 ◽  
Vol 129 (12) ◽  
pp. 2343-2357 ◽  
Author(s):  
Philipp H. G. Boeven ◽  
C. Friedrich H. Longin ◽  
Willmar L. Leiser ◽  
Sonja Kollers ◽  
Erhard Ebmeyer ◽  
...  

2021 ◽  
Author(s):  
Molly B. Edwards ◽  
Gary P. T. Choi ◽  
Nathan J. Derieg ◽  
Ya Min ◽  
Angie C. Diana ◽  
...  

Interactions with animal pollinators have helped shape the stunning diversity of flower morphologies across the angiosperms. A common evolutionary consequence of these interactions is that some flowers have converged on suites of traits, or pollination syndromes, that attract and reward specific pollinator groups. Determining the genetic basis of these floral pollination syndromes can help us understand the processes that contributed to the diversification of the angiosperms. Here, we characterize the genetic architecture of a bee-to-hummingbird pollination shift in Aquilegia (columbine) using QTL mapping of 17 floral traits encompassing color, nectar composition, and organ morphology. In this system, we find that the genetic architectures underlying differences in floral color are quite complex, and we identify several likely candidate genes involved in anthocyanin and carotenoid floral pigmentation. Most morphological and nectar traits also have complex genetic underpinnings; however, one of the key floral morphological phenotypes, nectar spur curvature, is shaped by a single locus of large effect.


2020 ◽  
Vol 227 (3) ◽  
pp. 967-975
Author(s):  
Giovanni Scopece ◽  
Clarisse Palma‐Silva ◽  
Donata Cafasso ◽  
Christian Lexer ◽  
Salvatore Cozzolino

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Yunyao Yang ◽  
Ruiqing He ◽  
Jian Zheng ◽  
Zenghui Hu ◽  
Jing Wu ◽  
...  

Abstract Background Lilac (Syringa oblata) is an important woody plant with high ornamental value. However, very limited genetic marker resources are currently available, and little is known about the genetic architecture of important ornamental traits for S. oblata, which is hindering its genetic studies. Therefore, it is of great significance to develop effective molecular markers and understand the genetic architecture of complex floral traits for the genetic research of S. oblata. Results In this study, a total of 10,988 SSRs were obtained from 9864 unigene sequences with an average of one SSR per 8.13 kb, of which di-nucleotide repeats were the dominant type (32.86%, 3611). A set of 2042 primer pairs were validated, out of which 932 (45.7%) exhibited successful amplifications, and 248 (12.1%) were polymorphic in eight S. oblata individuals. In addition, 30 polymorphic EST-SSR markers were further used to assess the genetic diversity and the population structure of 192 cultivated S. oblata individuals. Two hundred thirty-four alleles were detected, and the PIC values ranged from 0.23 to 0.88 with an average of 0.51, indicating a high level of genetic diversity within this cultivated population. The analysis of population structure showed two major subgroups in the association population. Finally, 20 significant associations were identified involving 17 markers with nine floral traits using the mixed linear model. Moreover, marker SO104, SO695 and SO790 had significant relationship with more than one trait. Conclusion The results showed newly developed markers were valuable resource and provided powerful tools for genetic breeding of lilac. Beyond that, our study could serve an efficient foundation for further facilitate genetic improvement of floral traits for lilac.


2020 ◽  
Author(s):  
Yunyao Yang ◽  
Ruiqing He ◽  
Jian Zheng ◽  
Zenghui Hu ◽  
Jing Wu ◽  
...  

Abstract Background: Lilac (Syringa oblata) is an important woody plant with high ornamental value. However, very limited genetic marker resources are currently available, and little is known about the genetic architecture of important ornamental traits for S. oblata, which is hindering its genetic studies. Therefore, it is of great significance to develop effective molecular markers and understand the genetic architecture of complex floral traits for the genetic research of S. oblata.Results: In this study, a total of 10,988 SSRs were obtained from 9,864 unigene sequences with an average of one SSR per 8.13 kb, of which di-nucleotide repeats were the dominant type (32.86%, 3,611). A set of 2,042 primer pairs were validated, out of which 932 (45.7%) exhibited successful amplifications, and 248 (12.1%) were polymorphic in eight S. oblata individuals. In addition, 30 polymorphic EST-SSR markers were further used to assess the genetic diversity and the population structure of 192 cultivated S. oblata individuals. 234 alleles were detected, and the PIC values ranged from 0.23 to 0.88 with an average of 0.51, indicating a high level of genetic diversity within this cultivated population. The analysis of population structure showed two major subgroups in the association population. Finally, 20 significant associations were identified involving 17 markers with nine floral traits using the mixed linear model. Moreover, marker SO104, SO695 and SO790 had significant relationship with more than one trait.Conclusion: The results showed newly developed markers were valuable resource and provided powerful tools for genetic breeding of lilac. Beyond that, our study could serve an efficient foundation for further facilitate genetic improvement of floral traits for lilac.


2019 ◽  
Author(s):  
Jamie L. Kostyun ◽  
Matthew J.S. Gibson ◽  
Christian M. King ◽  
Leonie C. Moyle

SummaryGenetic correlations among different components of phenotypes, especially resulting from pleiotropy, can constrain or facilitate trait evolution. These factors could especially influence the evolution of traits that are functionally integrated, such as those comprising the flower. Indeed, pleiotropy is proposed as a main driver of repeated convergent trait transitions, including the evolution of phenotypically-similar pollinator syndromes.We assessed the role of pleiotropy in the differentiation of floral and other reproductive traits between two species —Jaltomata sinuosa and J. umbellata (Solanaceae)—that have divergent suites of floral traits consistent with bee- and hummingbird-pollination, respectively. To do so, we generated a hybrid population and examined the genetic architecture (trait segregation and QTL distribution) underlying 25 floral and fertility traits.We found that most floral traits had a relatively simple genetic basis (few, predominantly additive, QTL of moderate to large effect), as well as little evidence of antagonistic pleiotropy (few trait correlations and QTL co-localization, particularly between traits of different classes). However, we did detect a potential case of adaptive pleiotropy among floral size and nectar traits.These mechanisms may have facilitated the rapid floral trait evolution observed within Jaltomata, and may be a common component of rapid phenotypic change more broadly.


2020 ◽  
Author(s):  
Yunyao Yang ◽  
Ruiqing He ◽  
Jian Zheng ◽  
Zenghui Hu ◽  
Jing Wu ◽  
...  

Abstract Background Syringa oblata is an important woody plant with high ornamental value. However, very limited genetic marker resources are currently available, and little is known about the genetic architecture of important ornamental traits for S. oblata , which is hindering its genetic studies. Therefore, it is of great significance to develop effective molecular markers and understand the genetic architecture of complex floral traits for the genetic research of S. oblata . Results In this study, a total of 10,988 SSRs were obtained from 9,864 unigene sequences with an average of one SSR per 8.13 kb, of which di-nucleotide repeats were the dominant type (32.86%, 3,611). A set of 2,042 primer pairs were validated, out of which 932 (45.7%) exhibited successful amplifications, and 248 (12.1%) were polymorphic in eight S. oblata individuals. In addition, 30 polymorphic EST-SSR markers were further used to assess the genetic diversity and the population structure of 192 cultivated S. oblata individuals. 234 alleles were detected, and the PIC values ranged from 0.23 to 0.88 with an average of 0.51, indicating a high level of genetic diversity within this cultivated population. The analysis of population structure showed two major subgroups in the association population. Finally, 20 significant associations were identified involving 17 markers with 9 floral traits using the mixed linear model. Moreover, marker SO104, SO695 and SO790 had significant relationship with more than one trait. Conclusion The results showed newly developed markers were valuable resource and provided powerful tools for genetic breeding of lilac. Beyond that, our study could serve an efficient foundation for further facilitate genetic improvement of floral traits for lilac.


2018 ◽  
Vol 9 (1) ◽  
Author(s):  
Qixiang Zhang ◽  
He Zhang ◽  
Lidan Sun ◽  
Guangyi Fan ◽  
Meixia Ye ◽  
...  

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