Evidence map›Paper›PMID 32957917›Full record

ArticleBMC plant biology2020

Development of EST-SSR markers and association mapping with floral traits in Syringa oblata.

Yunyao Yang, Ruiqing He, Jian Zheng, Zenghui Hu, Jing Wu, Pingsheng Leng

Abstract read
In one paragraph

Article in BMC plant biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

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13citing papers in PubMed
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3 · Its place in the literature

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13 citing papers in PubMed.

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  5. Tropical life sciences research · 2024
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  7. Phenotypic Variation in Flower Color and Morphology in the Gerbera (International journal of molecular sciences · 2023
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yunyao YangBeijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing University of Agriculture, Beijing, 102206, China.
Ruiqing HeCollege of Landscape Architecture, Beijing University of Agriculture, Beijing, 102206, China.
Jian ZhengCollege of Landscape Architecture, Beijing University of Agriculture, Beijing, 102206, China.
Zenghui HuBeijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing University of Agriculture, Beijing, 102206, China.
Jing WuBeijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing University of Agriculture, Beijing, 102206, China. wjmxy1988@126.com.
Pingsheng LengBeijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing University of Agriculture, Beijing, 102206, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLilac (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.

resultsIn 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.

conclusionThe 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.

Indexed as

Expressed Sequence TagsQuantitative Trait, HeritableChromosome MappingFlowersGenetic Association StudiesGenetic MarkersGenetic VariationMicrosatellite RepeatsSyringaGenetic MarkersAssociation mappingEST-SSRGenetic diversityPopulation structureSyringa oblata

Identifiers

PMID32957917
PMCPMC7507607

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