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Title: NLR diversity and candidate fusiform rust resistance genes in loblolly pine

Abstract

Resistance to fusiform rust disease in loblolly pine (Pinus taeda) is a classic gene-for-gene system. Early resistance gene mapping in the P. taeda family 10-5 identified RAPD markers for a major fusiform rust resistance gene, Fr1. More recently, single nucleotide polymorphism (SNP) markers associated with resistance were mapped to a full-length gene model in the loblolly pine genome encoding for a nucleotide-binding site leucine-rich repeat (NLR) protein. NLR genes are one of the most abundant gene families in plant genomes and are involved in effector-triggered immunity. Inter- and intraspecies studies of NLR gene diversity and expression have resulted in improved disease resistance. To characterize NLR gene diversity and discover potential resistance genes, we assembled de novo transcriptomes from 92 loblolly genotypes from across the natural range of the species. In these transcriptomes, we identified novel NLR transcripts that are not present in the loblolly pine reference genome and found significant geographic diversity of NLR genes providing evidence of gene family evolution. We designed capture probes for these NLRs to identify and map SNPs that stably cosegregate with resistance to the SC20-21 isolate of Cronartium quercuum f.sp. fusiforme (Cqf) in half-sib progeny of the 10-5 family. We identified 10 SNPs andmore » 2 quantitative trait loci associated with resistance to SC20-21 Cqf. The geographic diversity of NLR genes provides evidence of NLR gene family evolution in loblolly pine. The SNPs associated with rust resistance provide a resource to enhance breeding and deployment of resistant pine seedlings.« less

Authors:
 [1];  [2];  [3];  [4];  [5]; ORCiD logo [5];  [1];  [1];  [1];  [6];  [1]
  1. Univ. of Florida, Gainesville, FL (United States)
  2. Univ. of Florida, Gainesville, FL (United States); USDA Forest Service, Saucier, MS (United States). Southern Institute of Forest Genetics
  3. Univ. of Kentucky, Lexington, KY (United States)
  4. Rapid Genomics, Gainesville, FL (United States)
  5. Univ. of Connecticut, Storrs, CT (United States)
  6. USDA Forest Service, Saucier, MS (United States). Southern Institute of Forest Genetics; USDA Forest Service, Lexington, KY (United States). Southern Research Station, Forest Health Research and Education Center
Publication Date:
Research Org.:
Univ. of Florida, Gainesville, FL (United States)
Sponsoring Org.:
USDOE Office of Science (SC); USDA
OSTI Identifier:
1904366
Grant/Contract Number:  
SC0019099; 2017-67012-26097
Resource Type:
Accepted Manuscript
Journal Name:
G3
Additional Journal Information:
Journal Volume: 12; Journal Issue: 2; Journal ID: ISSN 2160-1836
Publisher:
Genetics Society of America
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; NLR; RNAseq; fusiform rust; resistance genes; Pinus taeda; Fr genes; sequence-capture; pan-NLRome

Citation Formats

Ence, Daniel, Smith, Katherine E., Fan, Shenghua, Gomide Neves, Leandro, Paul, Robin, Wegrzyn, Jill, Peter, Gary F., Kirst, Matias, Brawner, Jeremy, Nelson, C. Dana, and Davis, John M. NLR diversity and candidate fusiform rust resistance genes in loblolly pine. United States: N. p., 2021. Web. doi:10.1093/g3journal/jkab421.
Ence, Daniel, Smith, Katherine E., Fan, Shenghua, Gomide Neves, Leandro, Paul, Robin, Wegrzyn, Jill, Peter, Gary F., Kirst, Matias, Brawner, Jeremy, Nelson, C. Dana, & Davis, John M. NLR diversity and candidate fusiform rust resistance genes in loblolly pine. United States. https://doi.org/10.1093/g3journal/jkab421
Ence, Daniel, Smith, Katherine E., Fan, Shenghua, Gomide Neves, Leandro, Paul, Robin, Wegrzyn, Jill, Peter, Gary F., Kirst, Matias, Brawner, Jeremy, Nelson, C. Dana, and Davis, John M. Mon . "NLR diversity and candidate fusiform rust resistance genes in loblolly pine". United States. https://doi.org/10.1093/g3journal/jkab421. https://www.osti.gov/servlets/purl/1904366.
@article{osti_1904366,
title = {NLR diversity and candidate fusiform rust resistance genes in loblolly pine},
author = {Ence, Daniel and Smith, Katherine E. and Fan, Shenghua and Gomide Neves, Leandro and Paul, Robin and Wegrzyn, Jill and Peter, Gary F. and Kirst, Matias and Brawner, Jeremy and Nelson, C. Dana and Davis, John M.},
abstractNote = {Resistance to fusiform rust disease in loblolly pine (Pinus taeda) is a classic gene-for-gene system. Early resistance gene mapping in the P. taeda family 10-5 identified RAPD markers for a major fusiform rust resistance gene, Fr1. More recently, single nucleotide polymorphism (SNP) markers associated with resistance were mapped to a full-length gene model in the loblolly pine genome encoding for a nucleotide-binding site leucine-rich repeat (NLR) protein. NLR genes are one of the most abundant gene families in plant genomes and are involved in effector-triggered immunity. Inter- and intraspecies studies of NLR gene diversity and expression have resulted in improved disease resistance. To characterize NLR gene diversity and discover potential resistance genes, we assembled de novo transcriptomes from 92 loblolly genotypes from across the natural range of the species. In these transcriptomes, we identified novel NLR transcripts that are not present in the loblolly pine reference genome and found significant geographic diversity of NLR genes providing evidence of gene family evolution. We designed capture probes for these NLRs to identify and map SNPs that stably cosegregate with resistance to the SC20-21 isolate of Cronartium quercuum f.sp. fusiforme (Cqf) in half-sib progeny of the 10-5 family. We identified 10 SNPs and 2 quantitative trait loci associated with resistance to SC20-21 Cqf. The geographic diversity of NLR genes provides evidence of NLR gene family evolution in loblolly pine. The SNPs associated with rust resistance provide a resource to enhance breeding and deployment of resistant pine seedlings.},
doi = {10.1093/g3journal/jkab421},
journal = {G3},
number = 2,
volume = 12,
place = {United States},
year = {Mon Dec 13 00:00:00 EST 2021},
month = {Mon Dec 13 00:00:00 EST 2021}
}

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