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Shu M, Yates TB, John C, Harman-Ware AE, Happs RM, Bryant N, Jawdy SS, Ragauskas AJ, Tuskan GA, Muchero W, Chen JG. Providing biological context for GWAS results using eQTL regulatory and co-expression networks in Populus. THE NEW PHYTOLOGIST 2024. [PMID: 39169686 DOI: 10.1111/nph.20026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Accepted: 07/16/2024] [Indexed: 08/23/2024]
Abstract
Our study utilized genome-wide association studies (GWAS) to link nucleotide variants to traits in Populus trichocarpa, a species with rapid linkage disequilibrium decay. The aim was to overcome the challenge of interpreting statistical associations at individual loci without sufficient biological context, which often leads to reliance solely on gene annotations from unrelated model organisms. We employed an integrative approach that included GWAS targeting multiple traits using three individual techniques for lignocellulose phenotyping, expression quantitative trait loci (eQTL) analysis to construct transcriptional regulatory networks around each candidate locus and co-expression analysis to provide biological context for these networks, using lignocellulose biosynthesis in Populus trichocarpa as a case study. The research identified three candidate genes potentially involved in lignocellulose formation, including one previously recognized gene (Potri.005G116800/VND1, a critical regulator of secondary cell wall formation) and two genes (Potri.012G130000/AtSAP9 and Potri.004G202900/BIC1) with newly identified putative roles in lignocellulose biosynthesis. Our integrative approach offers a framework for providing biological context to loci associated with trait variation, facilitating the discovery of new genes and regulatory networks.
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Affiliation(s)
- Mengjun Shu
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, 37831, TN, USA
- Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, 37831, TN, USA
| | - Timothy B Yates
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, 37831, TN, USA
- Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, 37831, TN, USA
| | - Cai John
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, 37831, TN, USA
- Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, 37831, TN, USA
- Department of Chemical and Biomolecular Engineering, University of Tennessee, Knoxville, 37996, TN, USA
| | - Anne E Harman-Ware
- Renewable Resources and Enabling Sciences Center, National Renewable Energy Laboratory, Golden, 80401, CO, USA
| | - Renee M Happs
- Renewable Resources and Enabling Sciences Center, National Renewable Energy Laboratory, Golden, 80401, CO, USA
| | - Nathan Bryant
- Department of Chemical and Biomolecular Engineering, University of Tennessee, Knoxville, 37996, TN, USA
| | - Sara S Jawdy
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, 37831, TN, USA
- Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, 37831, TN, USA
| | - Arthur J Ragauskas
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, 37831, TN, USA
- Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, 37831, TN, USA
- Department of Chemical and Biomolecular Engineering, University of Tennessee, Knoxville, 37996, TN, USA
| | - Gerald A Tuskan
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, 37831, TN, USA
- Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, 37831, TN, USA
| | - Wellington Muchero
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, 37831, TN, USA
- Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, 37831, TN, USA
| | - Jin-Gui Chen
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, 37831, TN, USA
- Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, 37831, TN, USA
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Li P, Xiao L, Du Q, Quan M, Song Y, He Y, Huang W, Xie J, Lv C, Wang D, Zhou J, Li L, Liu Q, El‐Kassaby YA, Zhang D. Genomic insights into selection for heterozygous alleles and woody traits in Populus tomentosa. PLANT BIOTECHNOLOGY JOURNAL 2023; 21:2002-2018. [PMID: 37392407 PMCID: PMC10502748 DOI: 10.1111/pbi.14108] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 05/03/2023] [Accepted: 06/12/2023] [Indexed: 07/03/2023]
Abstract
Heterozygous alleles are widespread in outcrossing and clonally propagated woody plants. The variation in heterozygosity that underlies population adaptive evolution and phenotypic variation, however, remains largely unknown. Here, we describe a de novo chromosome-level genome assembly of Populus tomentosa, an economic and ecologically important native tree in northern China. By resequencing 302 natural accessions, we determined that the South subpopulation (Pop_S) encompasses the ancestral strains of P. tomentosa, while the Northwest subpopulation (Pop_NW) and Northeast subpopulation (Pop_NE) experienced different selection pressures during population evolution, resulting in significant population differentiation and a decrease in the extent of heterozygosity. Analysis of heterozygous selective sweep regions (HSSR) suggested that selection for lower heterozygosity contributed to the local adaptation of P. tomentosa by dwindling gene expression and genetic load in the Pop_NW and Pop_NE subpopulations. Genome-wide association studies (GWAS) revealed that 88 single nucleotide polymorphisms (SNPs) within 63 genes are associated with nine wood composition traits. Among them, the selection for the homozygous AA allele in PtoARF8 is associated with reductions in cellulose and hemicellulose contents by attenuating PtoARF8 expression, and the increase in lignin content is attributable to the selection for decreases in exon heterozygosity in PtoLOX3 during adaptive evolution of natural populations. This study provides novel insights into allelic variations in heterozygosity associated with adaptive evolution of P. tomentosa in response to the local environment and identifies a series of key genes for wood component traits, thereby facilitating genomic-based breeding of important traits in perennial woody plants.
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Affiliation(s)
- Peng Li
- National Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
| | - Liang Xiao
- National Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
| | - Qingzhang Du
- National Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
| | - Mingyang Quan
- National Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
| | - Yuepeng Song
- National Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
| | - Yuling He
- National Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
| | - Weixiong Huang
- National Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
| | - Jianbo Xie
- National Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
| | - Chenfei Lv
- National Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
| | - Dan Wang
- National Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
| | - Jiaxuan Zhou
- National Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
| | - Lianzheng Li
- National Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
| | - Qing Liu
- CSIRO Agriculture and Food, Black MountainCanberraAustralian Capital TerritoryAustralia
| | - Yousry A. El‐Kassaby
- Department of Forest and Conservation Sciences, Faculty of Forestry, Forest Sciences CentreUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | - Deqiang Zhang
- National Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
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Escamez S, Robinson KM, Luomaranta M, Gandla ML, Mähler N, Yassin Z, Grahn T, Scheepers G, Stener LG, Jansson S, Jönsson LJ, Street NR, Tuominen H. Genetic markers and tree properties predicting wood biorefining potential in aspen (Populus tremula) bioenergy feedstock. BIOTECHNOLOGY FOR BIOFUELS AND BIOPRODUCTS 2023; 16:65. [PMID: 37038157 PMCID: PMC10088276 DOI: 10.1186/s13068-023-02315-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 03/31/2023] [Indexed: 04/12/2023]
Abstract
BACKGROUND Wood represents the majority of the biomass on land and constitutes a renewable source of biofuels and other bioproducts. However, wood is recalcitrant to bioconversion, raising a need for feedstock improvement in production of, for instance, biofuels. We investigated the properties of wood that affect bioconversion, as well as the underlying genetics, to help identify superior tree feedstocks for biorefining. RESULTS We recorded 65 wood-related and growth traits in a population of 113 natural aspen genotypes from Sweden ( https://doi.org/10.5061/dryad.gtht76hrd ). These traits included three growth and field performance traits, 20 traits for wood chemical composition, 17 traits for wood anatomy and structure, and 25 wood saccharification traits as indicators of bioconversion potential. Glucose release after saccharification with acidic pretreatment correlated positively with tree stem height and diameter and the carbohydrate content of the wood, and negatively with the content of lignin and the hemicellulose sugar units. Most of these traits displayed extensive natural variation within the aspen population and high broad-sense heritability, supporting their potential in genetic improvement of feedstocks towards improved bioconversion. Finally, a genome-wide association study (GWAS) revealed 13 genetic loci for saccharification yield (on a whole-tree-biomass basis), with six of them intersecting with associations for either height or stem diameter of the trees. CONCLUSIONS The simple growth traits of stem height and diameter were identified as good predictors of wood saccharification yield in aspen trees. GWAS elucidated the underlying genetics, revealing putative genetic markers for bioconversion of bioenergy tree feedstocks.
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Affiliation(s)
- Sacha Escamez
- Department of Plant Physiology, Umeå Plant Science Centre (UPSC), Umeå University, 901 87, Umeå, Sweden
| | - Kathryn M Robinson
- Department of Plant Physiology, Umeå Plant Science Centre (UPSC), Umeå University, 901 87, Umeå, Sweden
| | - Mikko Luomaranta
- Department of Plant Physiology, Umeå Plant Science Centre (UPSC), Umeå University, 901 87, Umeå, Sweden
| | | | - Niklas Mähler
- Department of Plant Physiology, Umeå Plant Science Centre (UPSC), Umeå University, 901 87, Umeå, Sweden
| | - Zakiya Yassin
- RISE AB, Drottning Kristinas Väg 61 B, 114 28, Stockholm, Sweden
| | - Thomas Grahn
- RISE AB, Drottning Kristinas Väg 61 B, 114 28, Stockholm, Sweden
| | | | - Lars-Göran Stener
- The Forestry Research Institute of Sweden, Ekebo, 268 90, Svalöv, Sweden
| | - Stefan Jansson
- Department of Plant Physiology, Umeå Plant Science Centre (UPSC), Umeå University, 901 87, Umeå, Sweden
| | - Leif J Jönsson
- Department of Chemistry, Umeå University, 901 87, Umeå, Sweden
| | - Nathaniel R Street
- Department of Plant Physiology, Umeå Plant Science Centre (UPSC), Umeå University, 901 87, Umeå, Sweden
| | - Hannele Tuominen
- Department of Plant Physiology, Umeå Plant Science Centre (UPSC), Umeå University, 901 87, Umeå, Sweden.
- Department of Forest Genetics and Plant Physiology, Umeå Plant Science Centre (UPSC), Swedish University of Agricultural Sciences, 901 83, Umeå, Sweden.
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Singh R, Kumar K, Bharadwaj C, Verma PK. Broadening the horizon of crop research: a decade of advancements in plant molecular genetics to divulge phenotype governing genes. PLANTA 2022; 255:46. [PMID: 35076815 DOI: 10.1007/s00425-022-03827-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 01/08/2022] [Indexed: 06/14/2023]
Abstract
Advancements in sequencing, genotyping, and computational technologies during the last decade (2011-2020) enabled new forward-genetic approaches, which subdue the impediments of precise gene mapping in varied crops. The modern crop improvement programs rely heavily on two major steps-trait-associated QTL/gene/marker's identification and molecular breeding. Thus, it is vital for basic and translational crop research to identify genomic regions that govern the phenotype of interest. Until the advent of next-generation sequencing, the forward-genetic techniques were laborious and time-consuming. Over the last 10 years, advancements in the area of genome assembly, genotyping, large-scale data analysis, and statistical algorithms have led faster identification of genomic variations regulating the complex agronomic traits and pathogen resistance. In this review, we describe the latest developments in genome sequencing and genotyping along with a comprehensive evaluation of the last 10-year headways in forward-genetic techniques that have shifted the focus of plant research from model plants to diverse crops. We have classified the available molecular genetic methods under bulk-segregant analysis-based (QTL-seq, GradedPool-Seq, QTG-Seq, Exome QTL-seq, and RapMap), target sequence enrichment-based (RenSeq, AgRenSeq, and TACCA), and mutation-based groups (MutMap, NIKS algorithm, MutRenSeq, MutChromSeq), alongside improvements in classical mapping and genome-wide association analyses. Newer methods for outcrossing, heterozygous, and polyploid plant genetics have also been discussed. The use of k-mers has enriched the nature of genetic variants which can be utilized to identify the phenotype-causing genes, independent of reference genomes. We envisage that the recent methods discussed herein will expand the repertoire of useful alleles and help in developing high-yielding and climate-resilient crops.
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Affiliation(s)
- Ritu Singh
- Plant Immunity Laboratory, National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Kamal Kumar
- Plant Immunity Laboratory, National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Chellapilla Bharadwaj
- Division of Genetics, ICAR-Indian Agricultural Research Institute (IARI), New Delhi, 110020, India
| | - Praveen Kumar Verma
- Plant Immunity Laboratory, National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, 110067, India.
- Plant Immunity Laboratory, School of Life Sciences, Jawaharlal Nehru University, New Delhi, 110067, India.
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5
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Ahmar S, Ballesta P, Ali M, Mora-Poblete F. Achievements and Challenges of Genomics-Assisted Breeding in Forest Trees: From Marker-Assisted Selection to Genome Editing. Int J Mol Sci 2021; 22:10583. [PMID: 34638922 PMCID: PMC8508745 DOI: 10.3390/ijms221910583] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 09/26/2021] [Accepted: 09/27/2021] [Indexed: 12/23/2022] Open
Abstract
Forest tree breeding efforts have focused mainly on improving traits of economic importance, selecting trees suited to new environments or generating trees that are more resilient to biotic and abiotic stressors. This review describes various methods of forest tree selection assisted by genomics and the main technological challenges and achievements in research at the genomic level. Due to the long rotation time of a forest plantation and the resulting long generation times necessary to complete a breeding cycle, the use of advanced techniques with traditional breeding have been necessary, allowing the use of more precise methods for determining the genetic architecture of traits of interest, such as genome-wide association studies (GWASs) and genomic selection (GS). In this sense, main factors that determine the accuracy of genomic prediction models are also addressed. In turn, the introduction of genome editing opens the door to new possibilities in forest trees and especially clustered regularly interspaced short palindromic repeats and CRISPR-associated protein 9 (CRISPR/Cas9). It is a highly efficient and effective genome editing technique that has been used to effectively implement targetable changes at specific places in the genome of a forest tree. In this sense, forest trees still lack a transformation method and an inefficient number of genotypes for CRISPR/Cas9. This challenge could be addressed with the use of the newly developing technique GRF-GIF with speed breeding.
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Affiliation(s)
- Sunny Ahmar
- Institute of Biological Sciences, University of Talca, 1 Poniente 1141, Talca 3460000, Chile;
| | - Paulina Ballesta
- The National Fund for Scientific and Technological Development, Av. del Agua 3895, Talca 3460000, Chile
| | - Mohsin Ali
- Department of Forestry and Range Management, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan;
| | - Freddy Mora-Poblete
- Institute of Biological Sciences, University of Talca, 1 Poniente 1141, Talca 3460000, Chile;
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6
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Liu H, Song H, Jiang Y, Jiang Y, Zhang F, Liu Y, Shi Y, Ding X, Wang C. A Single-Step Genome Wide Association Study on Body Size Traits Using Imputation-Based Whole-Genome Sequence Data in Yorkshire Pigs. Front Genet 2021; 12:629049. [PMID: 34276758 PMCID: PMC8283822 DOI: 10.3389/fgene.2021.629049] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 05/10/2021] [Indexed: 11/13/2022] Open
Abstract
The body shape of a pig is the most direct production index, which can fully reflect the pig’s growth status and is closely related to important economic traits. In this study, a genome-wide association study on seven body size traits, the body length (BL), height (BH), chest circumference (CC), abdominal circumference (AC), cannon bone circumference (CBC), rump width (RW), and chest width (CW), were conducted in Yorkshire pigs. Illumina Porcine 80K SNP chips were used to genotype 589 of 5,572 Yorkshire pigs with body size records, and then the chip data was imputed to sequencing data. After quality control of imputed sequencing data, 784,267 SNPs were obtained, and the averaged linkage disequilibrium (r2) was 0.191. We used the single-trait model and the two-trait model to conduct single-step genome wide association study (ssGWAS) on seven body size traits; a total of 198 significant SNPS were finally identified according to the P-value and the contribution to the genetic variance of individual SNP. 11 candidate genes (CDH13, SIL1, CDC14A, TMRPSS15, TRAPPC9, CTNND2, KDM6B, CHD3, MUC13, MAPK4, and HMGA1) were found to be associated with body size traits in pigs; KDM6B and CHD3 jointly affect AC and CC, and MUC13 jointly affect RW and CW. These genes are involved in the regulation of bone growth and development as well as the absorption of nutrients and are associated with obesity. HMGA1 is proposed as a strong candidate gene for body size traits because of its important function and high consistency with other studies regarding the regulation of body size traits. Our results could provide valuable information for pig breeding based on molecular breeding.
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Affiliation(s)
- Huatao Liu
- National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Hailiang Song
- National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Yifan Jiang
- National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Yao Jiang
- National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Fengxia Zhang
- National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Yibing Liu
- National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Yong Shi
- National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Xiangdong Ding
- National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Chuduan Wang
- National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China
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7
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Balmant KM, Noble JD, C Alves F, Dervinis C, Conde D, Schmidt HW, Vazquez AI, Barbazuk WB, Campos GDL, Resende MFR, Kirst M. Xylem systems genetics analysis reveals a key regulator of lignin biosynthesis in Populus deltoides. Genome Res 2020; 30:1131-1143. [PMID: 32817237 PMCID: PMC7462072 DOI: 10.1101/gr.261438.120] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Accepted: 07/13/2020] [Indexed: 02/01/2023]
Abstract
Despite the growing resources and tools for high-throughput characterization and analysis of genomic information, the discovery of the genetic elements that regulate complex traits remains a challenge. Systems genetics is an emerging field that aims to understand the flow of biological information that underlies complex traits from genotype to phenotype. In this study, we used a systems genetics approach to identify and evaluate regulators of the lignin biosynthesis pathway in Populus deltoides by combining genome, transcriptome, and phenotype data from a population of 268 unrelated individuals of P. deltoides The discovery of lignin regulators began with the quantitative genetic analysis of the xylem transcriptome and resulted in the detection of 6706 and 4628 significant local- and distant-eQTL associations, respectively. Among the locally regulated genes, we identified the R2R3-MYB transcription factor MYB125 (Potri.003G114100) as a putative trans-regulator of the majority of genes in the lignin biosynthesis pathway. The expression of MYB125 in a diverse population positively correlated with lignin content. Furthermore, overexpression of MYB125 in transgenic poplar resulted in increased lignin content, as well as altered expression of genes in the lignin biosynthesis pathway. Altogether, our findings indicate that MYB125 is involved in the control of a transcriptional coexpression network of lignin biosynthesis genes during secondary cell wall formation in P. deltoides.
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Affiliation(s)
- Kelly M Balmant
- School of Forest Resources and Conservation, University of Florida, Gainesville, Florida 32611, USA
| | - Jerald D Noble
- Plant Molecular and Cellular Biology Graduate Program, University of Florida, Gainesville, Florida 32611, USA
| | - Filipe C Alves
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan 48824, USA
| | - Christopher Dervinis
- School of Forest Resources and Conservation, University of Florida, Gainesville, Florida 32611, USA
| | - Daniel Conde
- School of Forest Resources and Conservation, University of Florida, Gainesville, Florida 32611, USA
| | - Henry W Schmidt
- School of Forest Resources and Conservation, University of Florida, Gainesville, Florida 32611, USA
| | - Ana I Vazquez
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan 48824, USA
| | - William B Barbazuk
- Plant Molecular and Cellular Biology Graduate Program, University of Florida, Gainesville, Florida 32611, USA
- Department of Biology, University of Florida, Gainesville, Florida 32611, USA
- Genetics Institute, University of Florida, Gainesville, Florida 32611, USA
| | - Gustavo de Los Campos
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan 48824, USA
- Statistics Department, Michigan State University, East Lansing, Michigan 48824, USA
| | - Marcio F R Resende
- Plant Molecular and Cellular Biology Graduate Program, University of Florida, Gainesville, Florida 32611, USA
- Horticulture Sciences Department, University of Florida, Gainesville, Florida 32611, USA
| | - Matias Kirst
- School of Forest Resources and Conservation, University of Florida, Gainesville, Florida 32611, USA
- Plant Molecular and Cellular Biology Graduate Program, University of Florida, Gainesville, Florida 32611, USA
- Genetics Institute, University of Florida, Gainesville, Florida 32611, USA
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8
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Fu L, Jiang Y, Wang C, Mei M, Zhou Z, Jiang Y, Song H, Ding X. A Genome-Wide Association Study on Feed Efficiency Related Traits in Landrace Pigs. Front Genet 2020; 11:692. [PMID: 32719719 PMCID: PMC7350416 DOI: 10.3389/fgene.2020.00692] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 06/05/2020] [Indexed: 12/27/2022] Open
Abstract
Feed efficiency (FE) traits in pigs are of utmost economic importance. Genetic improvement of FE related traits in pigs might significantly reduce production cost and energy consumption. Hence, our study aimed at identifying SNPs and candidate genes associated with FE related traits, including feed conversion ratio (FCR), average daily gain (ADG), average daily feed intake (ADFI), and residual feed intake (RFI). A genome-wide association study (GWAS) was performed for the four FE related traits in 296 Landrace pigs genotyped with PorcineSNP50 BeadChip. Two different single-trait methods, single SNP linear model GWAS (LM-GWAS) and single-step GWAS (ssGWAS), were implemented. Our results showed that the two methods showed high consistency with respect to SNP identification. A total of 32 common significant SNPs associated with the four FE related traits were identified. Bioinformatics analysis revealed eight common QTL regions, of which three QTL regions related to ADFI and RFI traits were overlapped. Gene ontology analysis revealed six common candidate genes (PRELID2, GPER1, PDX1, TEX2, PLCL2, ICAM2) relevant for the four FE related traits. These genes are involved in the processes of fat synthesis and decomposition, lipid transport process, insulin metabolism, among others. Our results provide, new insights into the genetic mechanisms and candidate function genes of FE related traits in pigs. However, further investigations to validate these results are warranted.
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Affiliation(s)
- Lu Fu
- National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Yao Jiang
- National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Chonglong Wang
- Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Sciences, Hefei, China
| | - Mengran Mei
- National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Ziwen Zhou
- National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Yifan Jiang
- National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Hailiang Song
- National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Xiangdong Ding
- National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China
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