مورد إلكتروني
Leveraging breeding programs and genomic data in Norway spruce (Picea abies L. Karst) for GWAS analysis
| العنوان: | Leveraging breeding programs and genomic data in Norway spruce (Picea abies L. Karst) for GWAS analysis |
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| بيانات النشر: | Uppsala universitet, Växtekologi och evolution Uppsala universitet, Science for Life Laboratory, SciLifeLab Swedish Univ Agr Sci, Umeå Plant Sci Ctr, Dept Forest Genet & Plant Physiol, SE-90183 Umeå, Sweden. Swedish Univ Agr Sci, Umeå Plant Sci Ctr, Dept Forest Genet & Plant Physiol, SE-90183 Umeå, Sweden. Swedish Univ Agr Sci, Umeå Plant Sci Ctr, Dept Forest Genet & Plant Physiol, SE-90183 Umeå, Sweden. Zhejiang Univ, Coll Life Sci, Hangzhou 310058, Zhejiang, Peoples R China. Baoding Univ, Coll Biochem & Environm Engn, Baoding 071000, Hebei, Peoples R China. Beijing Forestry Univ, Beijing Adv Innovat Ctr Tree Breeding Mol Design, Beijing, Peoples R China. Skogforsk, Box 3, SE-91821 Savar, Sweden.;Swedish Univ Agr Sci, Unit Field Based Forest Res, SE-90183 Umeå, Sweden. Skogforsk, Ekebo 2250, SE-26890 Svalov, Sweden. Swedish Univ Agr Sci, Umeå Plant Sci Ctr, Dept Forest Genet & Plant Physiol, SE-90183 Umeå, Sweden. Swedish Univ Agr Sci, Umeå Plant Sci Ctr, Dept Forest Genet & Plant Physiol, SE-90183 Umeå, Sweden.;Beijing Forestry Univ, Beijing Adv Innovat Ctr Tree Breeding Mol Design, Beijing, Peoples R China.;CSIRO Natl Collect Res Australia, Black Mt Lab, Canberra, ACT 2601, Australia. BMC 2021 |
| تفاصيل مُضافة: | Chen, Zhi-Qiang Zan, Yanjun Milesi, Pascal Zhou, Linghua Chen, Jun Li, Lili Cui, BinBin Niu, Shihui Westin, Johan Karlsson, Bo Garcia-Gil, Maria Rosario Lascoux, Martin Wu, Harry X. |
| نوع الوثيقة: | Electronic Resource |
| مستخلص: | Background: Genome-wide association studies (GWAS) identify loci underlying the variation of complex traits. One of the main limitations of GWAS is the availability of reliable phenotypic data, particularly for long-lived tree species. Although an extensive amount of phenotypic data already exists in breeding programs, accounting for its high heterogeneity is a great challenge. We combine spatial and factor-analytics analyses to standardize the heterogeneous data from 120 field experiments of 483,424 progenies of Norway spruce to implement the largest reported GWAS for trees using 134 605 SNPs from exome sequencing of 5056 parental trees. Results: We identify 55 novel quantitative trait loci (QTLs) that are associated with phenotypic variation. The largest number of QTLs is associated with the budburst stage, followed by diameter at breast height, wood quality, and frost damage. Two QTLs with the largest effect have a pleiotropic effect for budburst stage, frost damage, and diameter and are associated with MAP3K genes. Genotype data called from exome capture, recently developed SNP array and gene expression data indirectly support this discovery. Conclusion: Several important QTLs associated with growth and frost damage have been verified in several southern and northern progeny plantations, indicating that these loci can be used in QTL-assisted genomic selection. Our study also demonstrates that existing heterogeneous phenotypic data from breeding programs, collected over several decades, is an important source for GWAS and that such integration into GWAS should be a major area of inquiry in the future. Correction in: Genome Biology, Volume: 22, Issue: 1, Article Number: 210, DOI:10.1186/s13059-021-02421-z |
| مصطلحات الفهرس: | Norway spruce, Frost damage, Genome-wide association study, Wood quality, Budburst stage, MAP3K gene, Genetics and Breeding in Agricultural Sciences, Genetik och förädling inom lantbruksvetenskap, Article in journal, info:eu-repo/semantics/article, text |
| DOI: | 10.1186.s13059-021-02392-1 |
| URL: | Genome Biology, 1465-6906, 2021, 22:1 |
| الإتاحة: | Open access content. Open access content info:eu-repo/semantics/openAccess |
| ملاحظة: | application/pdf English |
| أرقام أخرى: | UPE oai:DiVA.org:uu-449209 0000-0001-8580-4291 0000-0003-1699-9042 doi:10.1186/s13059-021-02392-1 PMID 34120648 ISI:000664094600002 1266223143 |
| المصدر المساهم: | UPPSALA UNIV LIBR From OAIster®, provided by the OCLC Cooperative. |
| رقم الأكسشن: | edsoai.on1266223143 |
| قاعدة البيانات: | OAIster |
| DOI: | 10.1186.s13059-021-02392-1 |
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