Literature DB >> 34172936

Major QTL confer race-nonspecific resistance in the co-evolved Cronartium quercuum f. sp. fusiforme-Pinus taeda pathosystem.

Edwin Lauer1, Fikret Isik2.   

Abstract

Fusiform rust disease, caused by the endemic fungus Cronartium quercuum f. sp. fusiforme, is the most damaging disease affecting economically important pine species in the southeast United States. Unlike the major epidemics of agricultural crops, the co-evolved pine-rust pathosystem is characterized by steady-state dynamics and high levels of genetic diversity within environments. This poses a unique challenge and opportunity for the deployment of large-effect resistance genes. We used trait dissection to study the genetic architecture of disease resistance in two P. taeda parents that showed high resistance across multiple environments. Two mapping populations (full-sib families), each with ~1000 progeny, were challenged with a complex inoculum consisting of 150 pathogen isolates. High-density linkage mapping revealed three major-effect QTL distributed on two linkage groups. All three QTL were validated using a population of 2057 cloned pine genotypes in a 6-year-old multi-environmental field trial. As a complement to the QTL mapping approach, bulked segregant RNAseq analysis revealed a small number of candidate nucleotide binding leucine-rich repeat genes harboring SNP associated with disease resistance. The results of this study show that in P. taeda, a small number of major QTL can provide effective resistance against genetically diverse mixtures of an endemic pathogen. These QTL vary in their impact on disease liability and exhibit additivity in combination.
© 2021. The Author(s), under exclusive licence to The Genetics Society.

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Year:  2021        PMID: 34172936      PMCID: PMC8405641          DOI: 10.1038/s41437-021-00451-8

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.832


  31 in total

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Authors:  B A Roy; J W Kirchner
Journal:  Evolution       Date:  2000-02       Impact factor: 3.694

2.  Efficient methods to compute genomic predictions.

Authors:  P M VanRaden
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Journal:  Science       Date:  2017-02-02       Impact factor: 47.728

4.  About Ganoderma boninense in oil palm plantations of Sumatra and peninsular Malaysia: Ancient population expansion, extensive gene flow and large scale dispersion ability.

Authors:  Maxime Mercière; Romain Boulord; Catherine Carasco-Lacombe; Christophe Klopp; Yang-Ping Lee; Joon-Sheong Tan; Sharifah S R Syed Alwee; Alba Zaremski; Hubert De Franqueville; Frédéric Breton; Létizia Camus-Kulandaivelu
Journal:  Fungal Biol       Date:  2017-02-01

5.  A consensus map for loblolly pine (Pinus taeda L.). I. Construction and integration of individual linkage maps from two outbred three-generation pedigrees.

Authors:  M M Sewell; B K Sherman; D B Neale
Journal:  Genetics       Date:  1999-01       Impact factor: 4.562

6.  Genetic diversity in Cronartium quercuum f.sp. fusiforme on loblolly pines in southern U.S.

Authors:  R C Hamelin; R L Doudrick; W L Nance
Journal:  Curr Genet       Date:  1994-10       Impact factor: 3.886

7.  An annotated genetic map of loblolly pine based on microsatellite and cDNA markers.

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Journal:  BMC Genet       Date:  2011-01-26       Impact factor: 2.797

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Journal:  Sci Rep       Date:  2019-08-12       Impact factor: 4.379

9.  Identification of wheat gene Sr35 that confers resistance to Ug99 stem rust race group.

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Journal:  Science       Date:  2013-06-27       Impact factor: 47.728

10.  Toward genomic selection in Pinus taeda: Integrating resources to support array design in a complex conifer genome.

Authors:  Madison Caballero; Edwin Lauer; Jeremy Bennett; Sumaira Zaman; Susan McEvoy; Juan Acosta; Colin Jackson; Laura Townsend; Andrew Eckert; Ross W Whetten; Carol Loopstra; Jason Holliday; Mihir Mandal; Jill L Wegrzyn; Fikret Isik
Journal:  Appl Plant Sci       Date:  2021-07-02       Impact factor: 1.936

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  3 in total

1.  Prediction ability of genome-wide markers in Pinus taeda L. within and between population is affected by relatedness to the training population and trait genetic architecture.

Authors:  Edwin Lauer; James Holland; Fikret Isik
Journal:  G3 (Bethesda)       Date:  2022-02-04       Impact factor: 3.542

2.  NLR diversity and candidate fusiform rust resistance genes in loblolly pine.

Authors:  Daniel Ence; Katherine E Smith; Shenghua Fan; Leandro Gomide Neves; Robin Paul; Jill Wegrzyn; Gary F Peter; Matias Kirst; Jeremy Brawner; C Dana Nelson; John M Davis
Journal:  G3 (Bethesda)       Date:  2022-02-04       Impact factor: 3.542

3.  Multiple-trait analyses improved the accuracy of genomic prediction and the power of genome-wide association of productivity and climate change-adaptive traits in lodgepole pine.

Authors:  Eduardo P Cappa; Charles Chen; Jennifer G Klutsch; Jaime Sebastian-Azcona; Blaise Ratcliffe; Xiaojing Wei; Letitia Da Ros; Aziz Ullah; Yang Liu; Andy Benowicz; Shane Sadoway; Shawn D Mansfield; Nadir Erbilgin; Barb R Thomas; Yousry A El-Kassaby
Journal:  BMC Genomics       Date:  2022-07-23       Impact factor: 4.547

  3 in total

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