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Wang D, Yang L, Shi C, Li S, Tang H, He C, Cai N, Duan A, Gong H. QTL mapping for growth-related traits by constructing the first genetic linkage map in Simao pine. BMC PLANT BIOLOGY 2022; 22:48. [PMID: 35065611 PMCID: PMC8783431 DOI: 10.1186/s12870-022-03425-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Accepted: 01/04/2022] [Indexed: 05/31/2023]
Abstract
BACKGROUND Simao pine is one of the primary economic tree species for resin and timber production in southwest China. The exploitation and utilization of Simao pine are constrained by the relatively lacking of genetic information. Construction a fine genetic linkage map and detecting quantitative trait locis (QTLs) for growth-related traits is a prerequisite section of Simao Pine's molecular breeding program. RESULTS In our study, a high-resolution Simao pine genetic map employed specific locus amplified fragment sequencing (SLAF-seq) technology and based on an F1 pseudo-testcross population has been constructed. There were 11,544 SNPs assigned to 12 linkage groups (LGs), and the total length of the map was 2,062.85 cM with a mean distance of 0.37 cM between markers. According to the phenotypic variation analysis for three consecutive years, a total of seventeen QTLs for four traits were detected. Among 17 QTLs, there were six for plant height (Dh.16.1, Dh16.2, Dh17.1, Dh18.1-3), five for basal diameter (Dbd.17.1-5), four for needle length (Dnl17.1-3, Dnl18.1) and two for needle diameter (Dnd17.1 and Dnd18.1) respectively. These QTLs individually explained phenotypic variance from 11.0-16.3%, and the logarithm of odds (LOD) value ranged from 2.52 to 3.87. CONCLUSIONS In our study, a fine genetic map of Simao pine applied the technology of SLAF-seq has been constructed for the first time. Based on the map, a total of 17 QTLs for four growth-related traits were identified. It provides helpful information for genomic studies and marker-assisted selection (MAS) in Simao pine.
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Affiliation(s)
- Dawei Wang
- Key Laboratory for Forest Resource Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, China
- Key Laboratory for Forest Genetic and Tree Improvement & Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming, China
| | - Lin Yang
- Key Laboratory for Forest Resource Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, China
- Key Laboratory for Forest Genetic and Tree Improvement & Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming, China
| | - Chen Shi
- Key Laboratory for Forest Resource Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, China
- Key Laboratory for Forest Genetic and Tree Improvement & Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming, China
| | - Siguang Li
- Yunnan Academy of Forestry, Kunming, China
| | - Hongyan Tang
- Puer City Institute of Forestry Sciences, Puer, China
| | - Chengzhong He
- Key Laboratory for Forest Resource Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, China
- Key Laboratory for Forest Genetic and Tree Improvement & Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming, China
| | - Nianhui Cai
- Key Laboratory for Forest Resource Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, China
- Key Laboratory for Forest Genetic and Tree Improvement & Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming, China
| | - Anan Duan
- Key Laboratory for Forest Resource Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, China
- Key Laboratory for Forest Genetic and Tree Improvement & Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming, China
| | - Hede Gong
- School of Geography, Southwest Forestry University, Kunming, China.
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Li Y, Dungey HS, Carson M, Carson S. Genotype by environment interaction for growth and Dothistroma resistance and clonal connectivity between environments in radiata pine in New Zealand and Australia. PLoS One 2018; 13:e0205402. [PMID: 30312360 PMCID: PMC6185738 DOI: 10.1371/journal.pone.0205402] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Accepted: 09/25/2018] [Indexed: 11/19/2022] Open
Abstract
Twenty-eight clonal trials of radiata pine planted across Australia and New Zealand were used to investigate genetic variation and genotype by environment (G×E) interaction for diameter-at-breast-height (DBH), height and Dothistroma resistance (DO_R). The average narrow-sense heritabilities were 0.11, 0.21 and 0.30 while the average broad-sense heritabilities were 0.27, 0.34 and 0.40 for DBH, height and Dothistroma resistance, respectively. Dothistroma resistance was assessed as the percentage of needles that were not affected by Dothistroma needle blight. G×E interactions were analysed using an approximate reduced factor analytic model. Apparent G×E interactions were estimated for DBH, height and Dothistroma resistance. Estimates of G×E interactions and their standard errors were strongly influenced by the level of connectivity between trials, in terms of common clones and common parents. When there was sufficient connectivity between trials (more than 30% common clones between trials), a high level of G×E interaction was found for DBH and height but not for Dothistroma resistance. In two simulated clonal trials planted in two environments, low connectivity between environments resulted in a lower estimated genetic correlation between environments with an increased standard error. These results suggest that the number of clones in common between clonal trials is a key factor for inclusion in future experimental designs for estimating G×E interaction. When designing clonal trials for use in multiple environments for accurately estimating the level of G×E, if the resource for creating connectivity between environments is limited, at least 30% of the clones need to be in common between environments.
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Affiliation(s)
- Yongjun Li
- Scion (New Zealand Forest Research Institute), Rotorua, New Zealand
- Agriculture Victoria, AgriBio Centre, Bundoora, Victoria, Australia
- * E-mail:
| | - Heidi S. Dungey
- Scion (New Zealand Forest Research Institute), Rotorua, New Zealand
| | - Mike Carson
- Forest Genetics Ltd., Ngongotaha, Rotorua, New Zealand
- Carson Associates Ltd, Ngongotaha, Rotorua, New Zealand
| | - Sue Carson
- Forest Genetics Ltd., Ngongotaha, Rotorua, New Zealand
- Carson Associates Ltd, Ngongotaha, Rotorua, New Zealand
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Perry A, Brown AV, Cavers S, Cottrell JE, Ennos RA. Has Scots pine (Pinus sylvestris) co-evolved with Dothistroma septosporum in Scotland? Evidence for spatial heterogeneity in the susceptibility of native provenances. Evol Appl 2016; 9:982-93. [PMID: 27606006 PMCID: PMC4999528 DOI: 10.1111/eva.12395] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2015] [Accepted: 04/14/2016] [Indexed: 11/29/2022] Open
Abstract
Spatial heterogeneity in pathogen pressure leads to genetic variation in, and evolution of, disease-related traits among host populations. In contrast, hosts are expected to be highly susceptible to exotic pathogens as there has been no evolution of defence responses. Host response to pathogens can therefore be an indicator of a novel or endemic pathosystem. Currently, the most significant threat to native British Scots pine (Pinus sylvestris) forests is Dothistroma needle blight (DNB) caused by the foliar pathogen Dothistroma septosporum which is presumed to be exotic. A progeny-provenance trial of 6-year-old Scots pine, comprising eight native provenances each with four families in six blocks, was translocated in April 2013 to a clear-fell site in Galloway adjacent to a DNB-infected forest. Susceptibility to D. septosporum, measured as DNB severity (estimated percentage nongreen current-year needles), was assessed visually over 2 years (2013-2014 and 2014-2015; two assessments per year). There were highly significant differences in susceptibility among provenances but not among families for each annual assessment. Provenance mean susceptibility to D. septosporum was negatively and significantly associated with water-related variables at site of origin, potentially due to the evolution of low susceptibility in the host in response to high historical pathogen pressure.
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Affiliation(s)
| | | | | | | | - Richard A. Ennos
- Institute of Evolutionary BiologyUniversity of EdinburghEdinburghUK
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Perry A, Wachowiak W, Brown AV, Ennos RA, Cottrell JE, Cavers S. Substantial heritable variation for susceptibility to Dothistroma septosporum within populations of native British Scots pine ( Pinus sylvestris). PLANT PATHOLOGY 2016; 65:987-996. [PMID: 27587900 PMCID: PMC4984854 DOI: 10.1111/ppa.12528] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
The threat from pests and pathogens to native and commercially planted forest trees is unprecedented and expected to increase under climate change. The degree to which forests respond to threats from pathogens depends on their adaptive capacity, which is determined largely by genetically controlled variation in susceptibility of the individual trees within them and the heritability and evolvability of this trait. The most significant current threat to the economically and ecologically important species Scots pine (Pinus sylvestris) is dothistroma needle blight (DNB), caused by the foliar pathogen Dothistroma septosporum. A progeny-population trial of 4-year-old Scots pine trees, comprising six populations from native Caledonian pinewoods each with three to five families in seven blocks, was artificially inoculated using a single isolate of D. septosporum. Susceptibility to D. septosporum, assessed as the percentage of non-green needles, was measured regularly over a period of 61 days following inoculation, during which plants were maintained in conditions ideal for DNB development (warm; high humidity; high leaf wetness). There were significant differences in susceptibility to D. septosporum among families indicating that variation in this trait is heritable, with high estimates of narrow-sense heritability (0.38-0.75) and evolvability (genetic coefficient of variation, 23.47). It is concluded that native Scots pine populations contain sufficient genetic diversity to evolve lower susceptibility to D. septosporum through natural selection in response to increased prevalence of this pathogen.
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Affiliation(s)
- A Perry
- Centre for Ecology and Hydrology Bush Estate Penicuik Midlothian EH26 0QB UK
| | - W Wachowiak
- Centre for Ecology and Hydrology Bush Estate Penicuik Midlothian EH26 0QB UK; Institute of Dendrology Polish Academy of Sciences Parkowa 562-035 Kórnik Poland
| | - A V Brown
- Forestry Commission 231 Corstorphine Road EH12 7AT UK
| | - R A Ennos
- Institute of Evolutionary Biology The University of Edinburgh Ashworth Building Charlotte Auerbach Road, King's Buildings Edinburgh EH9 3JF UK
| | - J E Cottrell
- Forest Research Northern Research Station Roslin Midlothian EH25 9SY UK
| | - S Cavers
- Centre for Ecology and Hydrology Bush Estate Penicuik Midlothian EH26 0QB UK
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Lind M, Källman T, Chen J, Ma XF, Bousquet J, Morgante M, Zaina G, Karlsson B, Elfstrand M, Lascoux M, Stenlid J. A Picea abies linkage map based on SNP markers identifies QTLs for four aspects of resistance to Heterobasidion parviporum infection. PLoS One 2014; 9:e101049. [PMID: 25036209 PMCID: PMC4103950 DOI: 10.1371/journal.pone.0101049] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2013] [Accepted: 06/03/2014] [Indexed: 02/05/2023] Open
Abstract
A consensus linkage map of Picea abies, an economically important conifer, was constructed based on the segregation of 686 SNP markers in a F1 progeny population consisting of 247 individuals. The total length of 1889.2 cM covered 96.5% of the estimated genome length and comprised 12 large linkage groups, corresponding to the number of haploid P. abies chromosomes. The sizes of the groups (from 5.9 to 9.9% of the total map length) correlated well with previous estimates of chromosome sizes (from 5.8 to 10.8% of total genome size). Any locus in the genome has a 97% probability to be within 10 cM from a mapped marker, which makes the map suited for QTL mapping. Infecting the progeny trees with the root rot pathogen Heterobasidion parviporum allowed for mapping of four different resistance traits: lesion length at the inoculation site, fungal spread within the sapwood, exclusion of the pathogen from the host after initial infection, and ability to prevent the infection from establishing at all. These four traits were associated with two, four, four and three QTL regions respectively of which none overlapped between the traits. Each QTL explained between 4.6 and 10.1% of the respective traits phenotypic variation. Although the QTL regions contain many more genes than the ones represented by the SNP markers, at least four markers within the confidence intervals originated from genes with known function in conifer defence; a leucoanthocyanidine reductase, which has previously been shown to upregulate during H. parviporum infection, and three intermediates of the lignification process; a hydroxycinnamoyl CoA shikimate/quinate hydroxycinnamoyltransferase, a 4-coumarate CoA ligase, and a R2R3-MYB transcription factor.
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Affiliation(s)
- Mårten Lind
- Department of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Thomas Källman
- Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Jun Chen
- Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Xiao-Fei Ma
- Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Jean Bousquet
- Institute for Systems and Integrative Biology, Université Laval, Québec City, Québec, Canada
| | - Michele Morgante
- Dipartimento di Scienze Agrarie e Ambientali, Universita di Udine, Udine, Italy
| | - Giusi Zaina
- Dipartimento di Scienze Agrarie e Ambientali, Universita di Udine, Udine, Italy
| | | | - Malin Elfstrand
- Department of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Martin Lascoux
- Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Jan Stenlid
- Department of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, Uppsala, Sweden
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Abstract
In accordance with pseudo-testcross strategy, the first genetic linkage map of Eucommia ulmoides Oliv. was constructed by an F1 population of 122 plants using amplified fragment length polymorphism (AFLP) markers. A total of 22 AFLP primer combinations generated 363 polymorphic markers. We selected 289 markers segregating as 1:1 and used them for constructing the parent-specific linkage maps. Among the candidate markers, 127 markers were placed on the maternal map LF and 108 markers on the paternal map Q1. The maternal map LF spanned 1116.1 cM in 14 linkage groups with a mean map distance of 8.78 cM; the paternal map Q1 spanned 929.6 cM in 12 linkage groups with an average spacing of 8.61 cM. The estimated coverage of the genome through two methods was 78.5 and 73.9% for LF, and 76.8 and 71.2% for Q1, respectively. This map is the first linkage map of E. ulmoides and provides a basis for mapping quantitative-trait loci and breeding applications.
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Affiliation(s)
- Dawei Wang
- College of Forestry, Northwest A and F University, Yangling, Shaanxi 712100, People's Republic of China.
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Allelic variation in cell wall candidate genes affecting solid wood properties in natural populations and land races of Pinus radiata. Genetics 2010; 185:1477-87. [PMID: 20498299 DOI: 10.1534/genetics.110.116582] [Citation(s) in RCA: 69] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Forest trees are ideally suited to association mapping due to their high levels of diversity and low genomic linkage disequilibrium. Using an association mapping approach, single-nucleotide polymorphism (SNP) markers influencing quantitative variation in wood quality were identified in a natural population of Pinus radiata. Of 149 sites examined, 10 demonstrated significant associations (P < 0.05, q < 0.1) with one or more traits after accounting for population structure and experimentwise error. Without accounting for marker interactions, phenotypic variation attributed to individual SNPs ranged from 2 to 6.5%. Undesirable negative correlations between wood quality and growth were not observed, indicating potential to break negative correlations by selecting for individual SNPs in breeding programs. Markers that yielded significant associations were reexamined in an Australian land race. SNPs from three genes (PAL1, PCBER, and SUSY) yielded significant associations. Importantly, associations with two of these genes validated associations with density previously observed in the discovery population. In both cases, decreased wood density was associated with the minor allele, suggesting that these SNPs may be under weak negative purifying selection for density in the natural populations. These results demonstrate the utility of LD mapping to detect associations, even when the power to detect SNPs with small effect is anticipated to be low.
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Schwelm A, Barron NJ, Zhang S, Bradshaw RE. Early expression of aflatoxin-like dothistromin genes in the forest pathogen Dothistroma septosporum. ACTA ACUST UNITED AC 2007; 112:138-46. [PMID: 18262779 DOI: 10.1016/j.mycres.2007.03.018] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2007] [Revised: 02/22/2007] [Accepted: 03/20/2007] [Indexed: 11/30/2022]
Abstract
The forest pathogen Dothistroma septosporum produces the polyketide dothistromin, a mycotoxin very similar in structure to versicolorin B, a precursor of aflatoxin (AF). Dothistromin is a broad-range toxin and possibly involved in red-band needle blight disease. As the role of dothistromin in the disease is unknown the expression of dothistromin genes was studied to reveal clues to its function. Although the genes of AF and dothistromin biosynthesis are very similar, this study revealed remarkable differences in the timing of their expression. Secondary metabolites, like AF, are usually produced during late exponential phase. Previously identified dothistromin genes, as well as a newly reported versicolorin B synthase gene, vbsA, showed high levels of expression during the onset of exponential growth. This unusual early expression was also seen in transformants containing a green fluorescent protein (GFP) gene regulated by a dothistromin gene promoter, where the highest GFP expression occurred in young mycelium. Two hypotheses for the biological role of dothistromin are proposed based on these results. The study of dothistromin genes will improve current knowledge about secondary metabolite genes, their putative biological roles, and their regulation.
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Affiliation(s)
- Arne Schwelm
- National Centre for Advanced Bio-Protection Technologies, Institute of Molecular BioSciences, Massey University, Private Bag 11222, Palmerston North, New Zealand
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González-Martínez SC, Krutovsky KV, Neale DB. Forest-tree population genomics and adaptive evolution. THE NEW PHYTOLOGIST 2006; 170:227-38. [PMID: 16608450 DOI: 10.1111/j.1469-8137.2006.01686.x] [Citation(s) in RCA: 82] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
Forest trees have gained much attention in recent years as nonclassical model eukaryotes for population, evolutionary and ecological genomic studies. Because of low domestication, large open-pollinated native populations, and high levels of both genetic and phenotypic variation, they are ideal organisms to unveil the molecular basis of population adaptive divergence in nature. Population genomics, in its broad-sense definition, is an emerging discipline that combines genome-wide sampling with traditional population genetic approaches to understanding evolution. Here we briefly review traditional methods of studying adaptive genetic variation in forest trees, and describe a new, integrated population genomics approach. First, alleles (haplotypes) at candidate genes for adaptive traits and their effects on phenotypes need to be characterized via sequencing and association mapping. At this stage, functional genomics can assist in understanding gene action and regulation by providing detailed transcriptional profiles. Second, frequencies of alleles in native populations for causative single-nucleotide polymorphisms are estimated to identify patterns of adaptive variation across heterogeneous environments. Population genomics, through deciphering allelic effects on phenotypes and identifying patterns of adaptive variation at the landscape level, will in the future constitute a useful tool, if cost-effective, to design conservation strategies for forest trees.
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