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Bano N, Mohammad N, Ansari MI, Ansari SA. Genotyping SNPs in lignin biosynthesis gene (CAD1) and transcription factors (MYB1 and MYB2) exhibits association with wood density in teak (Tectona grandis L.f.). Mol Biol Rep 2024; 51:169. [PMID: 38252339 DOI: 10.1007/s11033-023-09006-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 11/13/2023] [Indexed: 01/23/2024]
Abstract
BACKGROUND Teak (Tectona grandis L.f.), an important source of tropical timber with immense economic value, is a highly outcrossing forest tree species. 150 unrelated accessions of teak (Tectona grandis L.f.) plus trees assembled as clones at National Teak Germplasm Bank, Chandrapur, Maharashtra, India was investigated for association mapping of candidate lignin biosynthesis gene (CAD1) and transcription factors (MYB1 and MYB2). METHODS AND RESULTS The CAD1, MYB1 and MYB2 were amplified using specifically designed primers. The amplified sequences were then sequenced and genotyped for 112 SNPs/11 indels. We evaluated the association between SNPs and wood density in teak accessions using GLM and MLM statistical models, with Bonferroni correction applied. The teak accessions recorded an average wood density of 416.69 kg.m-3 (CV 4.97%) and comprised of three loosely structured admixed sub-populations (K = 3), containing 72.05% genetic variation within sub-populations with low intragenic LD (0-21% SNP pairs) at P < 0.05 and high LD decay (33-934 bp) at R2 = 0.1. GLM and MLM models discounting systematic biases (Q and K matrices) to avoid false discovery revealed five loci at rare variants (MAF 0.003) and three loci at common variants (MAF 0.05) to be significantly (P < 0.05) associated with the wood density. However, the stringent Bonferroni correction (4.06-7.04 × 10-4) yielded only a single associated locus (B1485C/A) from exon of MYB1 transcription factor, contributing to about 10.35% phenotypic variation in wood density trait. CONCLUSION Scored SNP locus (B1485C/A) can be developed as a molecular probe for selection of improved planting stock with proven wood density trait for a large-scale teak plantation.
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Affiliation(s)
- Nuzhat Bano
- ICFRE-Institute of Forest Productivity, Ranchi, 835303, India
| | - Naseer Mohammad
- Genetics and Tree Improvement Division, ICFRE-Tropical Forest Research Institute, Jabalpur, 482021, India
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Ghosh Dasgupta M, Abdul Bari MP, Shanmugavel S, Dharanishanthi V, Muthupandi M, Kumar N, Chauhan SS, Kalaivanan J, Mohan H, Krutovsky KV, Rajasugunasekar D. Targeted re-sequencing and genome-wide association analysis for wood property traits in breeding population of Eucalyptus tereticornis × E. grandis. Genomics 2021; 113:4276-4292. [PMID: 34785351 DOI: 10.1016/j.ygeno.2021.11.013] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Revised: 06/20/2021] [Accepted: 11/10/2021] [Indexed: 11/16/2022]
Abstract
Globally, Eucalyptus plantations occupy 22 million ha area and is one of the preferred hardwood species due to their short rotation, rapid growth, adaptability and wood properties. In this study, we present results of GWAS in parents and 100 hybrids of Eucalyptus tereticornis × E. grandis using 762 genes presumably involved in wood formation. Comparative analysis between parents predicted 32,202 polymorphic SNPs with high average read depth of 269-562× per individual per nucleotide. Seventeen wood related traits were phenotyped across three diverse environments and GWAS was conducted using 13,610 SNPs. A total of 45 SNP-trait associations were predicted across two locations. Seven large effect markers were identified which explained more than 80% of phenotypic variation for fibre area. This study has provided an array of candidate genes which may govern fibre morphology in this genus and has predicted potential SNPs which can guide future breeding programs in tropical Eucalyptus.
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Affiliation(s)
| | | | | | | | - Muthusamy Muthupandi
- Institute of Forest Genetics and Tree Breeding, R.S. Puram, Coimbatore 641002, India
| | - Naveen Kumar
- Institute of Wood Science and Technology, 18(th) Cross Malleshwaram, Bangalore 560 003, India
| | - Shakti Singh Chauhan
- Institute of Wood Science and Technology, 18(th) Cross Malleshwaram, Bangalore 560 003, India
| | | | - Haritha Mohan
- Institute of Forest Genetics and Tree Breeding, R.S. Puram, Coimbatore 641002, India
| | - Konstantin V Krutovsky
- Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, 37077 Göttingen, Germany; Center for Integrated Breeding Research, George-August University of Göttingen, 37075 Göttingen, Germany; Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660036 Krasnoyarsk, Russia; Laboratory of Population Genetics, N.I. Vavilov Institute of General Genetics, Russian Academy of Sciences, 119991 Moscow, Russia; Department of Ecosystem Science and Management, Texas A&M University, College Station, TX 77843-2138, USA
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3
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Guo X, He C, Cheng F, Zhong Y, Cheng X, Tao X. Dissection of Allelic Variation Underlying Floral and Fruit Traits in Flare Tree Peony ( Paeonia rockii) Using Association Mapping. Front Genet 2021; 12:664814. [PMID: 34456963 PMCID: PMC8385368 DOI: 10.3389/fgene.2021.664814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Accepted: 06/29/2021] [Indexed: 11/13/2022] Open
Abstract
Allelic variation in floral quantitative traits, including the elements of flowers and fruits, is caused by extremely complex regulatory processes. In the genetic improvement of flare tree peony (Paeonia rockii), a unique ornamental and edible oil woody species in the genus Paeonia, a better understanding of the genetic composition of these complex traits related to flowers and fruits is needed. Therefore, we investigated the genetic diversity and population structure of 160 P. rockii accessions and conducted single-marker association analysis for 19 quantitative flower and fruit traits using 81 EST-SSR markers. The results showed that the population had a high phenotypic diversity (coefficients of variation, 11.87-110.64%) and a high level of genetic diversity (mean number of alleles, N A = 6.09). These accessions were divided into three subgroups by STRUCTURE analysis and a neighbor-joining tree. Furthermore, we also found a low level of linkage disequilibrium between these EST-SSRs and, by single-marker association analysis, identified 134 significant associations, including four flower traits with 11 EST-SSRs and 10 fruit traits with 32 EST-SSRs. Finally, based on the sequence alignment of the associated markers, P280, PS2, PS12, PS27, PS118, PS131, and PS145 may be considered potential loci to increase the yield of flare tree peony. These results laid the foundation for further analysis of the genetic structure of some key traits in P. rockii and had an obvious potential application value in marker-assisted selection breeding.
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Affiliation(s)
- Xin Guo
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, China.,Peony International Institute, School of Landscape Architecture, Beijing Forestry University, Beijing, China.,Beijing Key Laboratory of Ornamental Plants Germplasm Innovation & Molecular Breeding, Beijing Forestry University, Beijing, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants of Ministry of Education, Beijing Forestry University, Beijing, China.,National Engineering Research Center for Floriculture, Beijing Forestry University, Beijing, China
| | - Chunyan He
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, China.,Peony International Institute, School of Landscape Architecture, Beijing Forestry University, Beijing, China.,Beijing Key Laboratory of Ornamental Plants Germplasm Innovation & Molecular Breeding, Beijing Forestry University, Beijing, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants of Ministry of Education, Beijing Forestry University, Beijing, China.,National Engineering Research Center for Floriculture, Beijing Forestry University, Beijing, China
| | - Fangyun Cheng
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, China.,Peony International Institute, School of Landscape Architecture, Beijing Forestry University, Beijing, China.,Beijing Key Laboratory of Ornamental Plants Germplasm Innovation & Molecular Breeding, Beijing Forestry University, Beijing, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants of Ministry of Education, Beijing Forestry University, Beijing, China.,National Engineering Research Center for Floriculture, Beijing Forestry University, Beijing, China
| | - Yuan Zhong
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, China.,Peony International Institute, School of Landscape Architecture, Beijing Forestry University, Beijing, China.,Beijing Key Laboratory of Ornamental Plants Germplasm Innovation & Molecular Breeding, Beijing Forestry University, Beijing, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants of Ministry of Education, Beijing Forestry University, Beijing, China.,National Engineering Research Center for Floriculture, Beijing Forestry University, Beijing, China
| | - Xinyun Cheng
- Beijing Guose Peony Technology Co. Ltd., Beijing, China
| | - Xiwen Tao
- Beijing Guose Peony Technology Co. Ltd., Beijing, China
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Healey AL, Shepherd M, King GJ, Butler JB, Freeman JS, Lee DJ, Potts BM, Silva-Junior OB, Baten A, Jenkins J, Shu S, Lovell JT, Sreedasyam A, Grimwood J, Furtado A, Grattapaglia D, Barry KW, Hundley H, Simmons BA, Schmutz J, Vaillancourt RE, Henry RJ. Pests, diseases, and aridity have shaped the genome of Corymbia citriodora. Commun Biol 2021; 4:537. [PMID: 33972666 PMCID: PMC8110574 DOI: 10.1038/s42003-021-02009-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 03/05/2021] [Indexed: 02/03/2023] Open
Abstract
Corymbia citriodora is a member of the predominantly Southern Hemisphere Myrtaceae family, which includes the eucalypts (Eucalyptus, Corymbia and Angophora; ~800 species). Corymbia is grown for timber, pulp and paper, and essential oils in Australia, South Africa, Asia, and Brazil, maintaining a high-growth rate under marginal conditions due to drought, poor-quality soil, and biotic stresses. To dissect the genetic basis of these desirable traits, we sequenced and assembled the 408 Mb genome of Corymbia citriodora, anchored into eleven chromosomes. Comparative analysis with Eucalyptus grandis reveals high synteny, although the two diverged approximately 60 million years ago and have different genome sizes (408 vs 641 Mb), with few large intra-chromosomal rearrangements. C. citriodora shares an ancient whole-genome duplication event with E. grandis but has undergone tandem gene family expansions related to terpene biosynthesis, innate pathogen resistance, and leaf wax formation, enabling their successful adaptation to biotic/abiotic stresses and arid conditions of the Australian continent.
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Affiliation(s)
- Adam L Healey
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA.
- University of Queensland/QAAFI, Brisbane, QLD, Australia.
| | - Mervyn Shepherd
- Southern Cross Plant Science, Southern Cross University, Lismore, NSW, Australia
| | - Graham J King
- Southern Cross Plant Science, Southern Cross University, Lismore, NSW, Australia
| | - Jakob B Butler
- School of Natural Sciences, University of Tasmania, Hobart, TAS, Australia
| | - Jules S Freeman
- School of Natural Sciences, University of Tasmania, Hobart, TAS, Australia
- ARC Training Centre for Forest Value, University of Tasmania, Hobart, TAS, Australia
- Scion, Rotorua, New Zealand
| | - David J Lee
- Forest Industries Research Centre, University of the Sunshine Coast, Sippy Downs, QLD, Australia
| | - Brad M Potts
- School of Natural Sciences, University of Tasmania, Hobart, TAS, Australia
- ARC Training Centre for Forest Value, University of Tasmania, Hobart, TAS, Australia
| | | | - Abdul Baten
- Southern Cross Plant Science, Southern Cross University, Lismore, NSW, Australia
- Institute of Precision Medicine & Bioinformatics, Camperdown, NSW, Australia
| | - Jerry Jenkins
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Shengqiang Shu
- Department of Energy Joint Genome Institute, Berkeley, CA, USA
| | - John T Lovell
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | | | - Jane Grimwood
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Agnelo Furtado
- University of Queensland/QAAFI, Brisbane, QLD, Australia
| | - Dario Grattapaglia
- EMBRAPA Genetic Resources and Biotechnology, Brasília, Brazil
- Genomic Science Program, Universidade Catolica de Brasilia, Taguatinga, Brazil
| | - Kerrie W Barry
- Department of Energy Joint Genome Institute, Berkeley, CA, USA
| | - Hope Hundley
- Department of Energy Joint Genome Institute, Berkeley, CA, USA
| | - Blake A Simmons
- University of Queensland/QAAFI, Brisbane, QLD, Australia
- Joint BioEnergy Institute, Emeryville, CA, USA
| | - Jeremy Schmutz
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
- Department of Energy Joint Genome Institute, Berkeley, CA, USA
| | - René E Vaillancourt
- School of Natural Sciences, University of Tasmania, Hobart, TAS, Australia
- ARC Training Centre for Forest Value, University of Tasmania, Hobart, TAS, Australia
| | - Robert J Henry
- University of Queensland/QAAFI, Brisbane, QLD, Australia
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Yang Y, He R, Zheng J, Hu Z, Wu J, Leng P. Development of EST-SSR markers and association mapping with floral traits in Syringa oblata. BMC PLANT BIOLOGY 2020; 20:436. [PMID: 32957917 PMCID: PMC7507607 DOI: 10.1186/s12870-020-02652-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Accepted: 09/15/2020] [Indexed: 05/10/2023]
Abstract
BACKGROUND Lilac (Syringa oblata) is an important woody plant with high ornamental value. However, very limited genetic marker resources are currently available, and little is known about the genetic architecture of important ornamental traits for S. oblata, which is hindering its genetic studies. Therefore, it is of great significance to develop effective molecular markers and understand the genetic architecture of complex floral traits for the genetic research of S. oblata. RESULTS In this study, a total of 10,988 SSRs were obtained from 9864 unigene sequences with an average of one SSR per 8.13 kb, of which di-nucleotide repeats were the dominant type (32.86%, 3611). A set of 2042 primer pairs were validated, out of which 932 (45.7%) exhibited successful amplifications, and 248 (12.1%) were polymorphic in eight S. oblata individuals. In addition, 30 polymorphic EST-SSR markers were further used to assess the genetic diversity and the population structure of 192 cultivated S. oblata individuals. Two hundred thirty-four alleles were detected, and the PIC values ranged from 0.23 to 0.88 with an average of 0.51, indicating a high level of genetic diversity within this cultivated population. The analysis of population structure showed two major subgroups in the association population. Finally, 20 significant associations were identified involving 17 markers with nine floral traits using the mixed linear model. Moreover, marker SO104, SO695 and SO790 had significant relationship with more than one trait. CONCLUSION The results showed newly developed markers were valuable resource and provided powerful tools for genetic breeding of lilac. Beyond that, our study could serve an efficient foundation for further facilitate genetic improvement of floral traits for lilac.
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Affiliation(s)
- Yunyao Yang
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing University of Agriculture, Beijing, 102206, China
- College of Landscape Architecture, Beijing University of Agriculture, Beijing, 102206, China
| | - Ruiqing He
- College of Landscape Architecture, Beijing University of Agriculture, Beijing, 102206, China
| | - Jian Zheng
- College of Landscape Architecture, Beijing University of Agriculture, Beijing, 102206, China
- Beijing Laboratory of Urban and Rural Ecological Environment, Beijing, 102206, China
| | - Zenghui Hu
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing University of Agriculture, Beijing, 102206, China
- College of Landscape Architecture, Beijing University of Agriculture, Beijing, 102206, China
- Beijing Laboratory of Urban and Rural Ecological Environment, Beijing, 102206, China
| | - Jing Wu
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing University of Agriculture, Beijing, 102206, China.
- College of Landscape Architecture, Beijing University of Agriculture, Beijing, 102206, China.
- Beijing Laboratory of Urban and Rural Ecological Environment, Beijing, 102206, China.
| | - Pingsheng Leng
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing University of Agriculture, Beijing, 102206, China
- College of Landscape Architecture, Beijing University of Agriculture, Beijing, 102206, China
- Beijing Laboratory of Urban and Rural Ecological Environment, Beijing, 102206, China
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Freeman JS, Hamilton MG, Lee DJ, Pegg GS, Brawner JT, Tilyard PA, Potts BM. Comparison of host susceptibilities to native and exotic pathogens provides evidence for pathogen-imposed selection in forest trees. THE NEW PHYTOLOGIST 2019; 221:2261-2272. [PMID: 30347441 DOI: 10.1111/nph.15557] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2018] [Accepted: 09/25/2018] [Indexed: 06/08/2023]
Abstract
The extent to which spatial structuring of host resistance in wild plant populations reflects direct pathogen-imposed selection is a subject of debate. To examine this issue, genetic susceptibilities to an exotic and a coevolved native fungal pathogen were compared using two Australian host tree species. Damage to common host germplasm of Corymbia citriodora ssp. variegata (CCV) and Eucalyptus globulus, caused by recently introduced (Austropuccinia psidii) and native (Quambalaria pitereka and Teratosphaeria sp.) pathogens was evaluated in common-garden experiments. There was significant additive genetic variation within host species for susceptibility to both the exotic and native pathogens. However, susceptibility to A. psidii was not genetically correlated with susceptibility to either native pathogen, providing support for pathogen-specific rather than general mechanisms of resistance. Population differentiation (QST ) for susceptibility to the native pathogens was greater than neutral expectations (molecular FST ), arguing for divergent selection. Coupled with lower native, but not exotic, pathogen susceptibility in host populations from areas climatically more prone to fungal proliferation, these findings suggest that pathogen-imposed selection has contributed directly to a geographic mosaic of host resistance to native pathogens.
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Affiliation(s)
- Jules S Freeman
- School of Natural Sciences and ARC Training Centre for Forest Value, University of Tasmania, Private Bag 55, Hobart, 7001, Tas, Australia
| | - Matthew G Hamilton
- School of Natural Sciences and ARC Training Centre for Forest Value, University of Tasmania, Private Bag 55, Hobart, 7001, Tas, Australia
| | - David J Lee
- Forest Industries Research Centre, University of the Sunshine Coast, Locked Bag 4, Maroochydore DC, 4558, Qld, Australia
| | - Geoff S Pegg
- Department of Agriculture, Fisheries and Forestry, Ecosciences Precinct, GPO Box 267, Brisbane, 4001, Qld, Australia
| | - Jeremy T Brawner
- Forest Industries Research Centre, University of the Sunshine Coast, Locked Bag 4, Maroochydore DC, 4558, Qld, Australia
| | - Paul A Tilyard
- School of Natural Sciences and ARC Training Centre for Forest Value, University of Tasmania, Private Bag 55, Hobart, 7001, Tas, Australia
| | - Brad M Potts
- School of Natural Sciences and ARC Training Centre for Forest Value, University of Tasmania, Private Bag 55, Hobart, 7001, Tas, Australia
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Telfer E, Graham N, Macdonald L, Sturrock S, Wilcox P, Stanbra L. Approaches to variant discovery for conifer transcriptome sequencing. PLoS One 2018; 13:e0205835. [PMID: 30395612 PMCID: PMC6218030 DOI: 10.1371/journal.pone.0205835] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2018] [Accepted: 10/02/2018] [Indexed: 12/30/2022] Open
Abstract
There is a wide diversity of bioinformatic tools available for the assembly of next generation sequence and subsequence variant calling to identify genetic markers at scale. Integration of genomics tools such as genomic selection, association studies, pedigree analysis and analysis of genetic diversity, into operational breeding is a goal for New Zealand’s most widely planted exotic tree species, Pinus radiata. In the absence of full reference genomes for large megagenomes such as in conifers, RNA sequencing in a range of genotypes and tissue types, offers a rich source of genetic markers for downstream application. We compared nine different assembler and variant calling software combinations in a single transcriptomic library and found that Single Nucleotide Polymorphism (SNPs) discovery could vary by as much as an order of magnitude (8,061 SNPs up to 86,815 SNPs). The assembler with the best realignment of the packages trialled, Trinity, in combination with several variant callers was then applied to a much larger multi-genotype, multi-tissue transcriptome and identified 683,135 in silico SNPs across a predicted 449,951 exons when mapped to the Pinus taeda ver 1.01e reference.
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Affiliation(s)
- Emily Telfer
- New Zealand Forest Research Institute LTD. trading as Scion, Rotorua, New Zealand
- * E-mail:
| | - Natalie Graham
- New Zealand Forest Research Institute LTD. trading as Scion, Rotorua, New Zealand
| | - Lucy Macdonald
- New Zealand Forest Research Institute LTD. trading as Scion, Rotorua, New Zealand
| | - Shane Sturrock
- New Zealand Forest Research Institute LTD. trading as Scion, Rotorua, New Zealand
- Real Time Genomics, Hamilton, New Zealand
| | - Phillip Wilcox
- Department of Mathematics and Statistics, University of Otago, Dunedin, New Zealand
| | - Lisa Stanbra
- New Zealand Forest Research Institute LTD. trading as Scion, Rotorua, New Zealand
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Zhang M, Zhou C, Song Z, Weng Q, Li M, Ji H, Mo X, Huang H, Lu W, Luo J, Li F, Gan S. The first identification of genomic loci in plants associated with resistance to galling insects: a case study in Eucalyptus L'Hér. (Myrtaceae). Sci Rep 2018; 8:2319. [PMID: 29396525 DOI: 10.1038/s41598-41018-20780-41599] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2017] [Accepted: 01/24/2018] [Indexed: 05/28/2023] Open
Abstract
Genomic loci related with resistance to gall-inducing insects have not been identified in any plants. Here, association mapping was used to identify molecular markers for resistance to the gall wasp Leptocybe invasa in two Eucalyptus species. A total of 86 simple sequence repeats (SSR) markers were screened out from 839 SSRs and used for association mapping in E. grandis. By applying the mixed linear model, seven markers were identified to be associated significantly (P ≤ 0.05) with the gall wasp resistance in E. grandis, including two validated with a correction of permutation test (P ≤ 0.008). The proportion of the variance in resistance explained by a significant marker ranged from 3.3% to 37.8%. Four out of the seven significant associations in E. grandis were verified and also validated (P ≤ 0.073 in a permutation test) in E. tereticornis, with the variation explained ranging from 24.3% to 48.5%. Favourable alleles with positive effect were also mined from the significant markers in both species. These results provide insight into the genetic control of gall wasp resistance in plants and have great potential for marker-assisted selection for resistance to L. invasa in the important tree genus Eucalyptus.
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Affiliation(s)
- Miaomiao Zhang
- State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Xiangshan Road, Beijing, 100091, China
- Key Laboratory of State Forestry Administration on Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Longdong, Guangzhou, 510520, China
- College of Forestry, South China Agricultural University, 284 Block, Wushan Street, Guangzhou, 510642, China
| | - Changpin Zhou
- State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Xiangshan Road, Beijing, 100091, China
- Key Laboratory of State Forestry Administration on Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Longdong, Guangzhou, 510520, China
| | - Zhijiao Song
- State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Xiangshan Road, Beijing, 100091, China
- Key Laboratory of State Forestry Administration on Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Longdong, Guangzhou, 510520, China
- Baoshan University, Yuanzheng Road, Baoshan, 678000, China
| | - Qijie Weng
- Key Laboratory of State Forestry Administration on Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Longdong, Guangzhou, 510520, China
| | - Mei Li
- Key Laboratory of State Forestry Administration on Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Longdong, Guangzhou, 510520, China
| | - Hongxia Ji
- Key Laboratory of State Forestry Administration on Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Longdong, Guangzhou, 510520, China
| | - Xiaoyong Mo
- College of Forestry, South China Agricultural University, 284 Block, Wushan Street, Guangzhou, 510642, China
| | - Huanhua Huang
- Guangdong Academy of Forestry, Longdong, Guangzhou, 510520, China
| | - Wanhong Lu
- China Eucalypt Research Centre, Zhanjiang, 524022, China
| | - Jianzhong Luo
- China Eucalypt Research Centre, Zhanjiang, 524022, China
| | - Fagen Li
- State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Xiangshan Road, Beijing, 100091, China.
- Key Laboratory of State Forestry Administration on Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Longdong, Guangzhou, 510520, China.
| | - Siming Gan
- State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Xiangshan Road, Beijing, 100091, China.
- Key Laboratory of State Forestry Administration on Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Longdong, Guangzhou, 510520, China.
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Zhang M, Zhou C, Song Z, Weng Q, Li M, Ji H, Mo X, Huang H, Lu W, Luo J, Li F, Gan S. The first identification of genomic loci in plants associated with resistance to galling insects: a case study in Eucalyptus L'Hér. (Myrtaceae). Sci Rep 2018; 8:2319. [PMID: 29396525 PMCID: PMC5797152 DOI: 10.1038/s41598-018-20780-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2017] [Accepted: 01/24/2018] [Indexed: 01/30/2023] Open
Abstract
Genomic loci related with resistance to gall-inducing insects have not been identified in any plants. Here, association mapping was used to identify molecular markers for resistance to the gall wasp Leptocybe invasa in two Eucalyptus species. A total of 86 simple sequence repeats (SSR) markers were screened out from 839 SSRs and used for association mapping in E. grandis. By applying the mixed linear model, seven markers were identified to be associated significantly (P ≤ 0.05) with the gall wasp resistance in E. grandis, including two validated with a correction of permutation test (P ≤ 0.008). The proportion of the variance in resistance explained by a significant marker ranged from 3.3% to 37.8%. Four out of the seven significant associations in E. grandis were verified and also validated (P ≤ 0.073 in a permutation test) in E. tereticornis, with the variation explained ranging from 24.3% to 48.5%. Favourable alleles with positive effect were also mined from the significant markers in both species. These results provide insight into the genetic control of gall wasp resistance in plants and have great potential for marker-assisted selection for resistance to L. invasa in the important tree genus Eucalyptus.
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Affiliation(s)
- Miaomiao Zhang
- State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Xiangshan Road, Beijing, 100091, China
- Key Laboratory of State Forestry Administration on Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Longdong, Guangzhou, 510520, China
- College of Forestry, South China Agricultural University, 284 Block, Wushan Street, Guangzhou, 510642, China
| | - Changpin Zhou
- State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Xiangshan Road, Beijing, 100091, China
- Key Laboratory of State Forestry Administration on Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Longdong, Guangzhou, 510520, China
| | - Zhijiao Song
- State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Xiangshan Road, Beijing, 100091, China
- Key Laboratory of State Forestry Administration on Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Longdong, Guangzhou, 510520, China
- Baoshan University, Yuanzheng Road, Baoshan, 678000, China
| | - Qijie Weng
- Key Laboratory of State Forestry Administration on Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Longdong, Guangzhou, 510520, China
| | - Mei Li
- Key Laboratory of State Forestry Administration on Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Longdong, Guangzhou, 510520, China
| | - Hongxia Ji
- Key Laboratory of State Forestry Administration on Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Longdong, Guangzhou, 510520, China
| | - Xiaoyong Mo
- College of Forestry, South China Agricultural University, 284 Block, Wushan Street, Guangzhou, 510642, China
| | - Huanhua Huang
- Guangdong Academy of Forestry, Longdong, Guangzhou, 510520, China
| | - Wanhong Lu
- China Eucalypt Research Centre, Zhanjiang, 524022, China
| | - Jianzhong Luo
- China Eucalypt Research Centre, Zhanjiang, 524022, China
| | - Fagen Li
- State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Xiangshan Road, Beijing, 100091, China.
- Key Laboratory of State Forestry Administration on Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Longdong, Guangzhou, 510520, China.
| | - Siming Gan
- State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Xiangshan Road, Beijing, 100091, China.
- Key Laboratory of State Forestry Administration on Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Longdong, Guangzhou, 510520, China.
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10
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Resende RT, Resende MDV, Silva FF, Azevedo CF, Takahashi EK, Silva-Junior OB, Grattapaglia D. Regional heritability mapping and genome-wide association identify loci for complex growth, wood and disease resistance traits in Eucalyptus. THE NEW PHYTOLOGIST 2017; 213:1287-1300. [PMID: 28079935 DOI: 10.1111/nph.14266] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2016] [Accepted: 09/08/2016] [Indexed: 05/18/2023]
Abstract
Although genome-wide association studies (GWAS) have provided valuable insights into the decoding of the relationships between sequence variation and complex phenotypes, they have explained little heritability. Regional heritability mapping (RHM) provides heritability estimates for genomic segments containing both common and rare allelic effects that individually contribute too little variance to be detected by GWAS. We carried out GWAS and RHM for seven growth, wood and disease resistance traits in a breeding population of 768 Eucalyptus hybrid trees using EuCHIP60K. Total genomic heritabilities accounted for large proportions (64-89%) of pedigree-based trait heritabilities, providing additional evidence that complex traits in eucalypts are controlled by many sequence variants across the frequency spectrum, each with small contributions to the phenotypic variance. RHM detected 26 quantitative trait loci (QTLs) encompassing 2191 single nucleotide polymorphisms (SNPs), whereas GWAS detected 13 single SNP-trait associations. RHM and GWAS QTLs individually explained 5-15% and 4-6% of the genomic heritability, respectively. RHM was superior to GWAS in capturing larger proportions of genomic heritability. Equated to previously mapped QTLs, our results highlighted genomic regions for further examination towards gene discovery. RHM-QTLs bearing a combination of common and rare variants could be useful enhancements to incorporate prior knowledge of the underlying genetic architecture in genomic prediction models.
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Affiliation(s)
| | - Marcos Deon Vilela Resende
- Department of Statistics, Universidade Federal de Viçosa, Viçosa, MG, 36570-000, Brazil
- EMBRAPA Forestry Research, Colombo, PR, 83411-000, Brazil
| | - Fabyano Fonseca Silva
- Department of Animal Science, Universidade Federal de Viçosa, Viçosa, MG, 36570-000, Brazil
| | | | | | - Orzenil Bonfim Silva-Junior
- EMBRAPA Genetic Resources and Biotechnology - EPqB, 70770-910, Brasilia, DF, Brazil
- Universidade Católica de Brasília - SGAN, 916 modulo B, Brasilia, DF, 70790-160, Brazil
| | - Dario Grattapaglia
- EMBRAPA Genetic Resources and Biotechnology - EPqB, 70770-910, Brasilia, DF, Brazil
- Universidade Católica de Brasília - SGAN, 916 modulo B, Brasilia, DF, 70790-160, Brazil
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11
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Wu J, Cheng F, Cai C, Zhong Y, Jie X. Association mapping for floral traits in cultivated Paeonia rockii based on SSR markers. Mol Genet Genomics 2016; 292:187-200. [PMID: 27807670 DOI: 10.1007/s00438-016-1266-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2016] [Accepted: 10/25/2016] [Indexed: 01/29/2023]
Abstract
Tree peony (Paeonia Sect. Moutan) is an economically important ornamental plant, but little is known about the genetic architecture of important ornamental traits. To effectively improve ornamental value, we require a better understanding of genetic architecture in the complex traits of the tree peony. Association mapping is a powerful tool for detection of variation associated with traits. Thus, we examined the genetic diversity and the population structure of 462 unrelated cultivated P. rockii individuals, then performed association mapping to identify simple sequence repeat (SSR) markers associated with 12 floral traits. We observed a moderate level of genetic diversity (PIC = 0.459) and low linkage disequilibrium (LD) between markers, demonstrating that the potential value of an LD approach in elucidating the molecular basis of the quantitative variation in this species. An analysis of population structure revealed three subgroups in the association population. Subsequent single-marker association analysis identified 46 significant associations, involving the 11 traits with 37 SSRs. These loci explained a small proportion of the phenotypic variance, ranging from 2.68 to 23.97% (mean 5.50%). We also validated 15 of the 46 associations in a linkage mapping population of 159 individuals. Finally, five associations were further confirmed in the linkage mapping population, involving the four traits with four SSRs. These results can serve as a foundation for further analyses of the genetic architecture of floral traits, and the SSRs associated in this work have potential applications in marker-assisted breeding in tree peony.
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Affiliation(s)
- Jing Wu
- National Flower Engineering Research Centre, Beijing Key Laboratory of Ornamental Plants Germplasm Innovation and Molecular Breeding, College of Landscape Architecture, Beijing Forestry University, Beijing, China
| | - Fangyun Cheng
- National Flower Engineering Research Centre, Beijing Key Laboratory of Ornamental Plants Germplasm Innovation and Molecular Breeding, College of Landscape Architecture, Beijing Forestry University, Beijing, China.
| | - Changfu Cai
- National Flower Engineering Research Centre, Beijing Key Laboratory of Ornamental Plants Germplasm Innovation and Molecular Breeding, College of Landscape Architecture, Beijing Forestry University, Beijing, China
| | - Yuan Zhong
- National Flower Engineering Research Centre, Beijing Key Laboratory of Ornamental Plants Germplasm Innovation and Molecular Breeding, College of Landscape Architecture, Beijing Forestry University, Beijing, China
| | - Xiao Jie
- National Flower Engineering Research Centre, Beijing Key Laboratory of Ornamental Plants Germplasm Innovation and Molecular Breeding, College of Landscape Architecture, Beijing Forestry University, Beijing, China
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12
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Wang L, Wang B, Du Q, Chen J, Tian J, Yang X, Zhang D. Allelic variation in PtoPsbW associated with photosynthesis, growth, and wood properties in Populus tomentosa. Mol Genet Genomics 2016; 292:77-91. [PMID: 27722913 DOI: 10.1007/s00438-016-1257-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2016] [Accepted: 10/03/2016] [Indexed: 02/06/2023]
Abstract
Photosynthesis is one of the most important reactions on earth. PsbW, a nuclear-encoded subunit of photosystem II (PSII), stabilizes PSII structure and plays an important role in photosynthesis. Here, we used candidate gene-based linkage disequilibrium (LD) mapping to detect significant associations between allelic variations of PtoPsbW and traits related to photosynthesis, growth, and wood properties in Populus tomentosa. PtoPsbW showed the highest expression in leaves and it increased during the development of these leaves, suggesting that PtoPsbW may play an important role in plant growth and development. Analysis of nucleotide diversity and LD revealed that PtoPsbW has low single-nucleotide polymorphism (SNP) diversity (π tot = 0.0048 and θ w = 0.0050) and relatively low average value of LD (0.1500), indicating that PtoPsbW is conserved due to its indispensable function. Using single-SNP associations in an association population of 435 individuals, we identified five significant associations at the threshold of P ≤ 0.05, explaining 3.28-15.98 % of the phenotypic variation. Haplotype-based association analyses indicated that 13 haplotypes (P ≤ 0.05) from six blocks were associated with photosynthesis, growth, and wood properties. Our work shows that identifying allelic variation and LD can help to decipher the genetic basis of photosynthesis and could potentially be applied for molecular marker-assisted selection in Populus.
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Affiliation(s)
- Longxin Wang
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China
| | - Bowen Wang
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China
| | - Qingzhang Du
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China
| | - Jinhui Chen
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China
| | - Jiaxing Tian
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China
| | - Xiaohui Yang
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China
| | - Deqiang Zhang
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China. .,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.
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13
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PoplarGene: poplar gene network and resource for mining functional information for genes from woody plants. Sci Rep 2016; 6:31356. [PMID: 27515999 PMCID: PMC4981870 DOI: 10.1038/srep31356] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2016] [Accepted: 07/18/2016] [Indexed: 01/05/2023] Open
Abstract
Poplar is not only an important resource for the production of paper, timber and other wood-based products, but it has also emerged as an ideal model system for studying woody plants. To better understand the biological processes underlying various traits in poplar, e.g., wood development, a comprehensive functional gene interaction network is highly needed. Here, we constructed a genome-wide functional gene network for poplar (covering ~70% of the 41,335 poplar genes) and created the network web service PoplarGene, offering comprehensive functional interactions and extensive poplar gene functional annotations. PoplarGene incorporates two network-based gene prioritization algorithms, neighborhood-based prioritization and context-based prioritization, which can be used to perform gene prioritization in a complementary manner. Furthermore, the co-functional information in PoplarGene can be applied to other woody plant proteomes with high efficiency via orthology transfer. In addition to poplar gene sequences, the webserver also accepts Arabidopsis reference gene as input to guide the search for novel candidate functional genes in PoplarGene. We believe that PoplarGene (http://bioinformatics.caf.ac.cn/PoplarGene and http://124.127.201.25/PoplarGene) will greatly benefit the research community, facilitating studies of poplar and other woody plants.
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14
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Xu B, Tian J, Du Q, Gong C, Pan W, Zhang D. Single nucleotide polymorphisms in a cellulose synthase gene (PtoCesA3) are associated with growth and wood properties in Populus tomentosa. PLANTA 2014; 240:1269-86. [PMID: 25143249 DOI: 10.1007/s00425-014-2149-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2014] [Accepted: 08/08/2014] [Indexed: 05/21/2023]
Abstract
In plants, the composition and organization of the cell wall determine cell shape, enable cell expansion, and affect the properties of woody tissues. Cellulose synthase (CesA) genes encode the enzymes involved in the synthesis of cellulose which is the major component of plant primary and secondary cell walls. Here, we isolated a full-length PtoCesA3 cDNA from the stem cambium tissue of Populus tomentosa. Tissue-specific expression profiling showed that PtoCesA3 is highly expressed during primary cell wall formation. Estimation of single nucleotide polymorphism (SNP) diversity and linkage disequilibrium (LD) revealed that PtoCesA3 harbors high SNP diversity (π(T) = 0.00995 and θ(w) = 0.0102) and low LD (r(2) ≥ 0.1, within 1,280 bp). Association analysis in a P. tomentosa association population (460 individuals) showed that seven SNPs (false discovery rate Q < 0.10) and five haplotypes (Q < 0.10) were significantly associated with growth and wood properties, explaining 4.09-7.02% of the phenotypic variance. All significant marker-trait associations were validated in at least one of the three smaller subsets (climatic regions) while five associations were repeated in the linkage population. Variation in RNA transcript abundance among genotypic classes of significant loci was also confirmed in the association or linkage populations. Identification of PtoCesA3 and examining its allelic polymorphisms using association studies open an avenue to understand the mechanism of cellulose synthesis in the primary cell wall and its effects on the properties of woody tissues.
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Affiliation(s)
- Baohua Xu
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, 100083, People's Republic of China
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15
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Dillon S, McEvoy R, Baldwin DS, Rees GN, Parsons Y, Southerton S. Characterisation of adaptive genetic diversity in environmentally contrasted populations of Eucalyptus camaldulensis Dehnh. (river red gum). PLoS One 2014; 9:e103515. [PMID: 25093589 PMCID: PMC4122390 DOI: 10.1371/journal.pone.0103515] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2014] [Accepted: 06/30/2014] [Indexed: 12/02/2022] Open
Abstract
As an increasing number of ecosystems face departures from long standing environmental conditions under climate change, our understanding of the capacity of species to adapt will become important for directing conservation and management of biodiversity. Insights into the potential for genetic adaptation might be gained by assessing genomic signatures of adaptation to historic or prevailing environmental conditions. The river red gum (Eucalyptus camaldulensis Dehnh.) is a widespread Australian eucalypt inhabiting riverine and floodplain habitats which spans strong environmental gradients. We investigated the effects of adaptation to environment on population level genetic diversity of E. camaldulensis, examining SNP variation in candidate gene loci sampled across 20 climatically diverse populations approximating the species natural distribution. Genetic differentiation among populations was high (F(ST) = 17%), exceeding previous estimates based on neutral markers. Complementary statistical approaches identified 6 SNP loci in four genes (COMT, Dehydrin, ERECTA and PIP2) which, after accounting for demographic effects, exhibited higher than expected levels of genetic differentiation among populations and whose allelic variation was associated with local environment. While this study employs but a small proportion of available diversity in the eucalyptus genome, it draws our attention to the potential for application of wide spread eucalypt species to test adaptive hypotheses.
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Affiliation(s)
| | - Rachel McEvoy
- Department of Genetics, La Trobe University, Bundoora, VIC, Australia
| | - Darren S. Baldwin
- Murray Darling Freshwater Research Centre, Wodonga, VIC, Australia
- CSIRO Land and Water Flagship, Wodonga, VIC, Australia
| | - Gavin N. Rees
- Murray Darling Freshwater Research Centre, Wodonga, VIC, Australia
- CSIRO Land and Water Flagship, Wodonga, VIC, Australia
| | - Yvonne Parsons
- Department of Genetics, La Trobe University, Bundoora, VIC, Australia
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16
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Du Q, Wang L, Zhou D, Yang H, Gong C, Pan W, Zhang D. Allelic variation within the S-adenosyl-L-homocysteine hydrolase gene family is associated with wood properties in Chinese white poplar (Populus tomentosa). BMC Genet 2014; 15 Suppl 1:S4. [PMID: 25079429 PMCID: PMC4118623 DOI: 10.1186/1471-2156-15-s1-s4] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Background S-adenosyl-l-homocysteine hydrolase (SAHH) is the only eukaryotic enzyme capable of S-adenosyl-l-homocysteine (SAH) catabolism for the maintenance of cellular transmethylation potential. Recently, biochemical and genetic studies in herbaceous species have obtained important discoveries in the function of SAHH, and an extensive characterization of SAHH family in even one tree species is essential, but currently lacking. Results Here, we first identified the SAHH family from Populus tomentosa using molecular cloning method. Phylogenetic analyses of 28 SAHH proteins from dicotyledons, monocotyledons, and lower plants revealed that the sequences formed two monophyletic groups: the PtrSAHHA with PtoSAHHA and PtrSAHHB with PtoSAHHB. Examination of tissue-specific expression profiles of the PtoSAHH family revealed similar expression patterns; high levels of expression in xylem were found. Nucleotide diversity and linkage disequilibrium (LD) in the PtoSAHH family, sampled from P. tomentosa natural distribution, revealed that PtoSAHH harbors high single-nucleotide polymorphism (SNP) diversity (π=0.01059±0.00122 and 0.00930±0.00079,respectively) and low LD (r2 > 0.1, within 800 bp and 2,200 bp, respectively). Using an LD-linkage analysis approach, two noncoding SNPs (PtoSAHHB_1065 and PtoSAHHA_2203) and the corresponding haplotypes were found to significantly associate with α-cellulose content, and a nonsynonymous SNP (PtoSAHHB_410) within the SAHH signature motifs showed significant association with fiber length, with an average of 3.14% of the phenotypic variance explained. Conclusions The present study demonstrates that PtoSAHHs were split off prior to the divergence of interspecies in Populus, and SAHHs may play a key role promoting transmethylation reactions in the secondary cell walls biosynthesis in trees. Hence, our findings provide insights into SAHH function and evolution in woody species and also offer a theoretical basis for marker-aided selection breeding to improve the wood quality of Populus.
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17
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Tian J, Chang M, Du Q, Xu B, Zhang D. Single-nucleotide polymorphisms in PtoCesA7 and their association with growth and wood properties in Populus tomentosa. Mol Genet Genomics 2014; 289:439-55. [PMID: 24549852 DOI: 10.1007/s00438-014-0824-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2013] [Accepted: 02/04/2014] [Indexed: 12/30/2022]
Abstract
Cellulose synthase (CesA) genes encode the enzymes that synthesize cellulose; therefore, CesAs play central roles in plant development and affect the yield and quality of wood, essential properties for industrial applications of plant biomass. To effectively manipulate wood biosynthesis in trees and improve wood quality, we thus require a better understanding of the natural variation in CesAs. Association studies have emerged as a powerful tool for identification of variation associated with quantitative traits. Here, we used a candidate gene-based association mapping approach to identify PtoCesA7 allelic variants that associate with growth and wood quality traits in Populus tomentosa. We isolated a full-length PtoCesA7 cDNA and observed high PtoCesA7 expression in xylem, consistent with the xylem-specific expression of CesA7. Nucleotide diversity and linkage disequilibrium (LD) in PtoCesA7, sampled from the P. tomentosa natural distribution, revealed that PtoCesA7 harbors high nucleotide diversity (π(T) = 0.0091) and low LD (r(2) ≥ 0.1, within 800 bp). By association analysis, we identified seven single-nucleotide polymorphisms (SNPs) (false discovery rate Q < 0.10) and 12 haplotypes (Q < 0.10) that associated with growth and wood properties, explaining 3.62-10.59 % of the phenotypic variance. We also validated 9 of the 10 significant marker-trait associations in at least one of three smaller subsets (climatic regions) or in a linkage-mapping population. Thus, our study identified functional PtoCesA7 allelic variants associated with growth and wood quality traits, giving new insights into genes affecting wood quality and quantity. From an applied perspective, the SNPs revealed in this study have potential applications in marker-assisted breeding.
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Affiliation(s)
- Jiaxing Tian
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, People's Republic of China
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18
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Du Q, Xu B, Pan W, Gong C, Wang Q, Tian J, Li B, Zhang D. Allelic variation in a cellulose synthase gene (PtoCesA4) associated with growth and wood properties in Populus tomentosa. G3 (BETHESDA, MD.) 2013; 3:2069-84. [PMID: 24048648 PMCID: PMC3815066 DOI: 10.1534/g3.113.007724] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/15/2013] [Accepted: 09/11/2013] [Indexed: 12/12/2022]
Abstract
Lignocellulosic biomass from trees provides a renewable feedstock for biofuels, lumber, pulp, paper, and other uses. Dissecting the mechanism underlying natural variation of the complex traits controlling growth and lignocellulose biosynthesis in trees can enable marker-assisted breeding to improve wood quality and yield. Here, we combined linkage disequilibrium (LD)-based association analysis with traditional linkage analysis to detect the genetic effect of a Populus tomentosa cellulose synthase gene, PtoCesA4. PtoCesA4 is strongly expressed in developing xylem and leaves. Nucleotide diversity and LD in PtoCesA4, sampled from the P. tomentosa natural distribution, revealed that PtoCesA4 harbors high single nucleotide polymorphism (SNP) diversity (πT = 0.0080 and θw = 0.0098) and low LD (r(2) ≥ 0.1, within 1400 bp), demonstrating that the potential of a candidate-gene-based LD approach in understanding the molecular basis underlying quantitative variation in this species. By combining single SNP, multi-SNP, and haplotype-based associations in an association population of 460 individuals with single SNP linkage analysis in a family-based linkage populations (1200 individuals), we identified three strong associations (false discovery rate Q < 0.05) in both populations. These include two nonsynonymous markers (SNP49 associated with α-cellulose content and SNP59 associated with fiber width) and a noncoding marker (SNP18 associated with α-cellulose content). Variation in RNA transcript abundance among genotypic classes of SNP49 was confirmed in these two populations. Therefore, combining different methods allowed us to examine functional PtoCesA4 allelic variation underlying natural variation in complex quantitative traits related to growth and lignocellulosic biosynthesis.
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Affiliation(s)
- Qingzhang Du
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, People’s Republic of China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, People’s Republic of China
| | - Baohua Xu
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, People’s Republic of China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, People’s Republic of China
| | - Wei Pan
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, People’s Republic of China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, People’s Republic of China
| | - Chenrui Gong
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, People’s Republic of China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, People’s Republic of China
| | - Qingshi Wang
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, People’s Republic of China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, People’s Republic of China
| | - Jiaxing Tian
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, People’s Republic of China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, People’s Republic of China
| | - Bailian Li
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, People’s Republic of China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, People’s Republic of China
- Department of Forestry, North Carolina State University, Raleigh, North Carolina 27695-8203
| | - Deqiang Zhang
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, People’s Republic of China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, People’s Republic of China
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19
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Du Q, Pan W, Tian J, Li B, Zhang D. The UDP-glucuronate decarboxylase gene family in Populus: structure, expression, and association genetics. PLoS One 2013; 8:e60880. [PMID: 23613749 PMCID: PMC3629030 DOI: 10.1371/journal.pone.0060880] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2012] [Accepted: 03/04/2013] [Indexed: 12/01/2022] Open
Abstract
In woody crop plants, the oligosaccharide components of the cell wall are essential for important traits such as bioenergy content, growth, and structural wood properties. UDP-glucuronate decarboxylase (UXS) is a key enzyme in the synthesis of UDP-xylose for the formation of xylans during cell wall biosynthesis. Here, we isolated a multigene family of seven members (PtUXS1-7) encoding UXS from Populus tomentosa, the first investigation of UXSs in a tree species. Analysis of gene structure and phylogeny showed that the PtUXS family could be divided into three groups (PtUXS1/4, PtUXS2/5, and PtUXS3/6/7), consistent with the tissue-specific expression patterns of each PtUXS. We further evaluated the functional consequences of nucleotide polymorphisms in PtUXS1. In total, 243 single-nucleotide polymorphisms (SNPs) were identified, with a high frequency of SNPs (1/18 bp) and nucleotide diversity (πT = 0.01033, θw = 0.01280). Linkage disequilibrium (LD) analysis showed that LD did not extend over the entire gene (r2<0.1, P<0.001, within 700 bp). SNP- and haplotype-based association analysis showed that nine SNPs (Q <0.10) and 12 haplotypes (P<0.05) were significantly associated with growth and wood property traits in the association population (426 individuals), with 2.70% to 12.37% of the phenotypic variation explained. Four significant single-marker associations (Q <0.10) were validated in a linkage mapping population of 1200 individuals. Also, RNA transcript accumulation varies among genotypic classes of SNP10 was further confirmed in the association population. This is the first comprehensive study of the UXS gene family in woody plants, and lays the foundation for genetic improvements of wood properties and growth in trees using genetic engineering or marker-assisted breeding.
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Affiliation(s)
- Qingzhang Du
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Wei Pan
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Jiaxing Tian
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Bailian Li
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Deqiang Zhang
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
- * E-mail:
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Du Q, Pan W, Xu B, Li B, Zhang D. Polymorphic simple sequence repeat (SSR) loci within cellulose synthase (PtoCesA) genes are associated with growth and wood properties in Populus tomentosa. THE NEW PHYTOLOGIST 2013; 197:763-776. [PMID: 23278184 DOI: 10.1111/nph.12072] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2012] [Accepted: 10/27/2012] [Indexed: 05/02/2023]
Abstract
Chinese white poplar (Populus tomentosa), an important commercial tree species for timber and pulp production in northern China, has been used to examine the individual genes and allelic diversity responsible for complex traits controlling growth and lignocellulosic biosynthesis. Taking advantage of the low degree of linkage disequilibrium (LD) within P. tomentosa association populations, we examined associations between 15 cellulose synthase (PtoCesA) genes and traits including growth and wood properties. Thirty-six novel simple sequence repeat (SSR) markers within PtoCesA genes were detected by re-sequencing and genotyped in an association population (460 individuals). Single-marker and haplotype-based LD approaches were used to identify significant marker-trait associations. Family-based linkage studies and real-time PCR testing were conducted to validate the functional significance of SSR variation. Fifteen single-marker associations from seven PtoCesA genes and nine haplotype-based associations within six genes were identified in the association population (false discovery rate Q < 0.05). Next, five SSR marker-trait associations (Q < 0.05) from four PtoCesA genes were successfully validated in a linkage mapping population (1200 individuals). The results imply a functional role for these genes in mediating wood properties, demonstrating the potential of combining single-marker and haplotype-based LD approaches to detect functional allelic variation underlying quantitative traits in a low-LD population.
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Affiliation(s)
- Qingzhang Du
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, 100083, China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, 100083, China
| | - Wei Pan
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, 100083, China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, 100083, China
| | - Baohua Xu
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, 100083, China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, 100083, China
| | - Bailian Li
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, 100083, China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, 100083, China
- Department of Forestry, North Carolina State University, Raleigh, NC, 27695-8203, USA
| | - Deqiang Zhang
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, 100083, China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, 100083, China
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Tian J, Du Q, Chang M, Zhang D. Allelic variation in PtGA20Ox associates with growth and wood properties in Populus spp. PLoS One 2012; 7:e53116. [PMID: 23300875 PMCID: PMC3534044 DOI: 10.1371/journal.pone.0053116] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2012] [Accepted: 11/27/2012] [Indexed: 12/03/2022] Open
Abstract
Populus tomentosa is an economically important tree crop that produces wood for lumber, pulp, paper, and biofuels. Wood quality traits are likely to be strongly affected by the plant hormone gibberellic acid (GA), which regulates growth. GA20Ox encodes one of the major regulatory enzymes of GA biosynthesis and may therefore play a large role in growth and wood quality. Here, linkage disequilibrium (LD) studies were used to identify significant associations between single nucleotide polymorphisms (SNPs) within PtGA20Ox and growth and wood-quality traits of P. tomentosa. We isolated a full-length GA20Ox cDNA from Populus tomentosa by reverse transcription (RT)-PCR; this 1401 bp cDNA clone had an open reading frame of 1158 bp and encoded a protein of 385 amino acids. PtGA20Ox transcripts were maximally expressed in the mature xylem of vascular tissues, suggesting that PtGA20Ox is highly expressed and specifically associated with secondary xylem formation. Resequencing the PtGA20Ox locus of 36 individuals identified 55 SNPs, and the frequency of SNPs was 1/31 bp. The 29 most common SNPs (frequency>0.1) were genotyped in an association population (426 individuals) that was also phenotyped for key growth and wood quality traits. LD did not extend over the entire gene (r(2)<0.1, within 500 bp), demonstrating that a candidate-gene-based LD approach may the best way to understand the molecular basis underlying quantitative variation in this species. SNP- and haplotype-based association analyses indicated that four SNPs (false discovery rate Q<0.05) and 14 haplotypes (P<0.05) were significantly associated with growth and wood properties. The phenotypic variance explained by each SNP ranged from 3.44% to 14.47%. The SNP markers identified in this study can be applied to breeding programs for the improvement of growth and wood-property traits by marker-assisted selection.
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Affiliation(s)
- Jiaxing Tian
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Qingzhang Du
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Mengqi Chang
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Deqiang Zhang
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
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