Gene Classification and Mining of Molecular Markers Useful in Red Clover (Trifolium pratense) Breeding
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F26296080%3A_____%2F17%3AN0000123" target="_blank" >RIV/26296080:_____/17:N0000123 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14310/17:00094337
Result on the web
<a href="https://doi.org/10.3389/fpls.2017.00367" target="_blank" >https://doi.org/10.3389/fpls.2017.00367</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3389/fpls.2017.00367" target="_blank" >10.3389/fpls.2017.00367</a>
Alternative languages
Result language
angličtina
Original language name
Gene Classification and Mining of Molecular Markers Useful in Red Clover (Trifolium pratense) Breeding
Original language description
Gene Classification and Mining of Molecular Markers Useful in Red Clover (Trifolium pratense) Breeding. Red clover (Trifolium pratense) is an important forage plant worldwide. This study was directed to broadening current knowledge of red clover's coding regions and enhancing its utilization in practice by specific reanalysis of previously published assembly. A total of 42,996 genes were characterized using Illumina paired-end sequencing after manual revision of Blast2GO annotation. Genes were classified into metabolic and biosynthetic pathways in response to biological processes, with 7,517 genes being assigned to specific pathways. Moreover, 17,727 enzymatic nodes in all pathways were described. We identified 6,749 potential microsatellite loci in red clover coding sequences, and we characterized 4,005 potential simple sequence repeat (SSR) markers as generating polymerase chain reaction products preferentially within 100–350 bp. Marker density of 1 SSR marker per 12.39 kbp was achieved. Aligning reads against predicted coding sequences resulted in the identification of 343,027 single nucleotide polymorphism (SNP) markers, providing marker density of one SNP marker per 144.6 bp. Altogether, 95 SSRs in coding sequences were analyzed for 50 red clover varieties and a collection of 22 highly polymorphic SSRs with pooled polymorphism information content >0.9 was generated, thus obtaining primer pairs for application to diversity studies in T. pratense. A set of 8,623 genome-wide distributed SNPs was developed and used for polymorphism evaluation in individual plants. The polymorphic information content ranged from 0 to 0.375. Temperature switch PCR was successfully used in single-marker SNP genotyping for targeted coding sequences and for heterozygosity or homozygosity confirmation in validated five loci. Predicted large sets of SSRs and SNPs throughout the genome are key to rapidly implementing genome-based breeding approaches, for identifying genes underlying key traits, and for genome-wide association studies. Detailed knowledge of genetic relationships among breeding material can also be useful for breeders in planning crosses or for plant variety protection. Single-marker assays are useful for diagnostic applications.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
40106 - Agronomy, plant breeding and plant protection; (Agricultural biotechnology to be 4.4)
Result continuities
Project
<a href="/en/project/QI111A019" target="_blank" >QI111A019: New genomic technology for the alogamic cultivated plant breeding for improving utility traits.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Frontiers in Plant Sci.
ISSN
1664-462X
e-ISSN
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Volume of the periodical
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Issue of the periodical within the volume
8
Country of publishing house
CH - SWITZERLAND
Number of pages
16
Pages from-to
1-16
UT code for WoS article
000397084200001
EID of the result in the Scopus database
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