Literature DB >> 33654140

SNP-based analysis reveals unexpected features of genetic diversity, parental contributions and pollen contamination in a white spruce breeding program.

Esteban Galeano1, Jean Bousquet2, Barb R Thomas3.   

Abstract

Accurate monitoring of genetic diversity levels of seedlots and mating patterns of parents from seed orchards are crucial to ensure that tree breeding programs are long-lasting and will deliver anticipated genetic gains. We used SNP genotyping to characterize founder trees, five bulk seed orchard seedlots, and trees from progeny trials to assess pollen contamination and the impact of severe roguing on genetic diversity and parental contributions in a first-generation open-pollinated white spruce clonal seed orchard. After severe roguing (eliminating 65% of the seed orchard trees), we found a slight reduction in the Shannon Index and a slightly negative inbreeding coefficient, but a sharp decrease in effective population size (eightfold) concomitant with sharp increase in coancestry (eightfold). Pedigree reconstruction showed unequal parental contributions across years with pollen contamination levels between 12 and 51% (average 27%) among seedlots, and 7-68% (average 30%) among individual genotypes within a seedlot. These contamination levels were not correlated with estimates obtained using pollen flight traps. Levels of pollen contamination also showed a Pearson's correlation of 0.92 with wind direction, likely from a pollen source 1 km away from the orchard under study. The achievement of 5% genetic gain in height at rotation through eliminating two-thirds of the orchard thus generated a loss in genetic diversity as determined by the reduction in effective population size. The use of genomic profiles revealed the considerable impact of roguing on genetic diversity, and pedigree reconstruction of full-sib families showed the unanticipated impact of pollen contamination from a previously unconsidered source.

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Mesh:

Year:  2021        PMID: 33654140      PMCID: PMC7925517          DOI: 10.1038/s41598-021-84566-2

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  32 in total

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Journal:  J Hered       Date:  2010-01-15       Impact factor: 2.645

2.  Levels of genetic diversity at different stages of the domestication cycle of interior spruce in British Columbia.

Authors:  M U Stoehr; Y A El-Kassaby
Journal:  Theor Appl Genet       Date:  1997-01       Impact factor: 5.699

3.  Retrospective selection of elite parent trees using paternity testing with microsatellite markers: an alternative short term breeding tactic for Eucalyptus.

Authors:  D Grattapaglia; V J Ribeiro; G D S P Rezende
Journal:  Theor Appl Genet       Date:  2004-03-05       Impact factor: 5.699

4.  GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research--an update.

Authors:  Rod Peakall; Peter E Smouse
Journal:  Bioinformatics       Date:  2012-07-20       Impact factor: 6.937

5.  Pollen gene flow, male reproductive success, and genetic correlations among offspring in a northern red oak (Quercus rubra L.) seed orchard.

Authors:  Lisa Alexander; Keith Woeste
Journal:  PLoS One       Date:  2017-02-06       Impact factor: 3.240

6.  Pollen flow and paternity in an isolated and non-isolated black walnut (Juglans nigra L.) timber seed orchard.

Authors:  Aziz Ebrahimi; Shaneka S Lawson; Graham S Frank; Mark V Coggeshall; Keith E Woeste; James R McKenna
Journal:  PLoS One       Date:  2018-12-04       Impact factor: 3.240

7.  Genetic diversity in populations of African mahogany (Khaya grandioliola C. DC.) introduced in Brazil.

Authors:  Sabrina Delgado Soares; Ludmila Ferreira Bandeira; Stela Barros Ribeiro; Mariana Pires de Campos Telles; João Augusto da Silva; Canrobert Tormin Borges; Alexandre Siqueira Guedes Coelho; Evandro Novaes
Journal:  Genet Mol Biol       Date:  2020-04-27       Impact factor: 1.771

8.  Genetic diversity and differentiation of Juniperus thurifera in Spain and Morocco as determined by SSR.

Authors:  Helena Teixeira; Susana Rodríguez-Echeverría; Cristina Nabais
Journal:  PLoS One       Date:  2014-02-12       Impact factor: 3.240

9.  Estimating the Effective Population Size from Temporal Allele Frequency Changes in Experimental Evolution.

Authors:  Ágnes Jónás; Thomas Taus; Carolin Kosiol; Christian Schlötterer; Andreas Futschik
Journal:  Genetics       Date:  2016-08-19       Impact factor: 4.562

10.  Do estimates of contemporary effective population size tell us what we want to know?

Authors:  Nils Ryman; Linda Laikre; Ola Hössjer
Journal:  Mol Ecol       Date:  2019-04-26       Impact factor: 6.185

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  1 in total

1.  Metadata analysis indicates biased estimation of genetic parameters and gains using conventional pedigree information instead of genomic-based approaches in tree breeding.

Authors:  Jean Beaulieu; Patrick Lenz; Jean Bousquet
Journal:  Sci Rep       Date:  2022-03-10       Impact factor: 4.996

  1 in total

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