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Cortés AJ. Abiotic Stress Tolerance Boosted by Genetic Diversity in Plants. Int J Mol Sci 2024; 25:5367. [PMID: 38791404 PMCID: PMC11121514 DOI: 10.3390/ijms25105367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Accepted: 03/14/2024] [Indexed: 05/26/2024] Open
Abstract
Plant breeding [...].
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Affiliation(s)
- Andrés J. Cortés
- Corporación Colombiana de Investigación Agropecuaria AGROSAVIA, C.I. La Selva, Km 7 vía Rionegro—Las Palmas, Rionegro 054048, Colombia;
- Facultad de Ciencias Agrarias—de Ciencias Forestales, Universidad Nacional de Colombia—Sede Medellín, Medellín 050034, Colombia
- Department of Plant Breeding, Swedish University of Agricultural Sciences, Lomma 23436, Sweden
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Peng Y, Yuan Y, Chang W, Zheng L, Ma W, Ren H, Liu P, Zhu L, Su J, Ma F, Li M, Ma B. Transcriptional repression of MdMa1 by MdMYB21 in Ma locus decreases malic acid content in apple fruit. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2023; 115:1231-1242. [PMID: 37219375 DOI: 10.1111/tpj.16314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 05/08/2023] [Accepted: 05/18/2023] [Indexed: 05/24/2023]
Abstract
Malic acid is a major organic acid component of apples and a crucial determinant of fruit organoleptic quality. A candidate gene for malic acid content, designated MdMa1, was previously identified in the Ma locus, which is a major quantitative trait locus (QTL) for apple fruit acidity located on the linkage group 16. Region-based association mapping to detect candidate genes in the Ma locus identified MdMa1 and an additional MdMYB21 gene putatively associated with malic acid. MdMYB21 was significantly associated with fruit malic acid content, accounting for ~7.48% of the observed phenotypic variation in the apple germplasm collection. Analyses of transgenic apple calli, fruits and tomatoes demonstrated that MdMYB21 negatively regulated malic acid accumulation. The apple fruit acidity-related MdMa1 and its tomato ortholog, SlALMT9, exhibited lower expression profiles in apple calli, mature fruits and tomatoes in which MdMYB21 was overexpressed, compared with their corresponding wild-type variety. MdMYB21 directly binds to the MdMa1 promoter and represses its expression. Interestingly, a 2-bp variation in the MdMYB21 promoter region altered its expression and regulation of its target gene, MdMa1, expression. Our findings not only demonstrate the efficiency of integrating QTL and association mapping in the identification of candidate genes controlling complex traits in apples, but also provide insights into the complex regulatory mechanism of fruit malic acid accumulation.
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Affiliation(s)
- Yunjing Peng
- State Key Laboratory of Crop Stress Biology for Arid Areas/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Yangyang Yuan
- State Key Laboratory of Crop Stress Biology for Arid Areas/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Wenjing Chang
- State Key Laboratory of Crop Stress Biology for Arid Areas/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Litong Zheng
- State Key Laboratory of Crop Stress Biology for Arid Areas/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Wenfang Ma
- State Key Laboratory of Crop Stress Biology for Arid Areas/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Hang Ren
- State Key Laboratory of Crop Stress Biology for Arid Areas/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Peipei Liu
- State Key Laboratory of Crop Stress Biology for Arid Areas/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Lingcheng Zhu
- State Key Laboratory of Crop Stress Biology for Arid Areas/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Jing Su
- State Key Laboratory of Crop Stress Biology for Arid Areas/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Fengwang Ma
- State Key Laboratory of Crop Stress Biology for Arid Areas/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Mingjun Li
- State Key Laboratory of Crop Stress Biology for Arid Areas/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Baiquan Ma
- State Key Laboratory of Crop Stress Biology for Arid Areas/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling, 712100, Shaanxi, China
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Siddiqui N, Gabi MT, Kamruzzaman M, Ambaw AM, Teferi TJ, Dadshani S, Léon J, Ballvora A. Genetic dissection of root architectural plasticity and identification of candidate loci in response to drought stress in bread wheat. BMC Genom Data 2023; 24:38. [PMID: 37495985 PMCID: PMC10373353 DOI: 10.1186/s12863-023-01140-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 07/14/2023] [Indexed: 07/28/2023] Open
Abstract
BACKGROUND The frequency of droughts has dramatically increased over the last 50 years, causing yield declines in cereals, including wheat. Crop varieties with efficient root systems show great potential for plant adaptation to drought stress, however; genetic control of root systems in wheat under field conditions is not yet well understood. RESULTS Natural variation in root architecture plasticity (phenotypic alteration due to changing environments) was dissected under field-based control (well-irrigated) and drought (rain-out shelter) conditions by a genome-wide association study using 200 diverse wheat cultivars. Our results revealed root architecture and plasticity traits were differentially responded to drought stress. A total of 25 marker-trait associations (MTAs) underlying natural variations in root architectural plasticity were identified in response to drought stress. They were abundantly distributed on chromosomes 1 A, 1B, 2 A, 2B, 3 A, 3B, 4B, 5 A, 5D, 7 A and 7B of the wheat genome. Gene ontology annotation showed that many candidate genes associated with plasticity were involved in water-transport and water channel activity, cellular response to water deprivation, scavenging reactive oxygen species, root growth and development and hormone-activated signaling pathway-transmembrane transport, indicating their response to drought stress. Further, in silico transcript abundance analysis demonstrated that root plasticity-associated candidate genes were highly expressed in roots across different root growth stages and under drought treatments. CONCLUSION Our results suggest that root phenotypic plasticity is highly quantitative, and the corresponding loci are associated with drought stress that may provide novel ways to enable root trait breeding.
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Affiliation(s)
- Nurealam Siddiqui
- Institute of Crop Science and Resource Conservation (INRES)-Plant Breeding, University of Bonn, 53115, Bonn, Germany
- Department of Biochemistry and Molecular Biology, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, 1706, Bangladesh
| | - Melesech T Gabi
- Institute of Crop Science and Resource Conservation (INRES)-Plant Breeding, University of Bonn, 53115, Bonn, Germany
| | - Mohammad Kamruzzaman
- Institute of Crop Science and Resource Conservation (INRES)-Plant Breeding, University of Bonn, 53115, Bonn, Germany
- Plant Breeding Division, Bangladesh Institute of Nuclear Agriculture (BINA), Mymensingh-2202, Bangladesh
| | - Abebaw M Ambaw
- Institute of Crop Science and Resource Conservation (INRES)-Plant Breeding, University of Bonn, 53115, Bonn, Germany
| | - Tesfaye J Teferi
- Institute of Crop Science and Resource Conservation (INRES)-Plant Breeding, University of Bonn, 53115, Bonn, Germany
| | - Said Dadshani
- INRES-Plant Nutrition, University of Bonn, 53115, Bonn, Germany
| | - Jens Léon
- Institute of Crop Science and Resource Conservation (INRES)-Plant Breeding, University of Bonn, 53115, Bonn, Germany
- Field Lab Campus Klein-Altendorf, University of Bonn, Klein-Altendorf 2, 53359, Rheinbach, Germany
| | - Agim Ballvora
- Institute of Crop Science and Resource Conservation (INRES)-Plant Breeding, University of Bonn, 53115, Bonn, Germany.
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Marchesini A, Silverj A, Torre S, Rota-Stabelli O, Girardi M, Passeri I, Fracasso I, Sebastiani F, Vernesi C. First genome-wide data from Italian European beech (Fagus sylvatica L.): Strong and ancient differentiation between Alps and Apennines. PLoS One 2023; 18:e0288986. [PMID: 37471380 PMCID: PMC10358878 DOI: 10.1371/journal.pone.0288986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 07/10/2023] [Indexed: 07/22/2023] Open
Abstract
The European beech (Fagus sylvatica L.) is one of the most widespread forest trees in Europe whose distribution and intraspecific diversity has been largely shaped by repeated glacial cycles. Previous studies, mainly based on palaeobotanical evidence and a limited set of chloroplast and nuclear genetic markers, highlighted a complex phylogeographic scenario, with southern and western Europe characterized by a rather heterogeneous genetic structure, as a result of recolonization from different glacial refugia. Despite its ecological and economic importance, the genome of this broad-leaved tree has only recently been assembled, and its intra-species genomic diversity is still largely unexplored. Here, we performed whole-genome resequencing of nine Italian beech individuals sampled from two stands located in the Alpine and Apennine mountain ranges. We investigated patterns of genetic diversity at chloroplast, mitochondrial and nuclear genomes and we used chloroplast genomes to reconstruct a temporally-resolved phylogeny. Results allowed us to test European beech differentiation on a whole-genome level and to accurately date their divergence time. Our results showed comparable, relatively high levels of genomic diversity in the two populations and highlighted a clear differentiation at chloroplast, mitochondrial and nuclear genomes. The molecular clock analysis indicated an ancient split between the Alpine and Apennine populations, occurred between the Günz and the Riss glaciations (approximately 660 kyrs ago), suggesting a long history of separation for the two gene pools. This information has important conservation implications in the context of adaptation to ongoing climate changes.
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Affiliation(s)
- Alexis Marchesini
- Institute for Sustainable Plant Protection (IPSP), The National Research Council of Italy (CNR), Sesto Fiorentino (Florence), Italy
- Research Institute on Terrestrial Ecosystems (IRET), The National Research Council of Italy (CNR), Porano (Terni), Italy
- NBFC, National Biodiversity Future Center, Palermo, Italy
| | - Andrea Silverj
- Centre Agriculture Food Environment, University of Trento, San Michele all’Adige, Italy
- Department CIBIO, University of Trento, Trento, Italy
| | - Sara Torre
- Institute for Sustainable Plant Protection (IPSP), The National Research Council of Italy (CNR), Sesto Fiorentino (Florence), Italy
| | - Omar Rota-Stabelli
- Centre Agriculture Food Environment, University of Trento, San Michele all’Adige, Italy
- Department CIBIO, University of Trento, Trento, Italy
- Plant Protection Unit, Research and Innovation Centre, Fondazione Edmund Mach, S. Michele all’Adige (Trento), Italy
| | - Matteo Girardi
- Conservation Genomics Unit, Research and Innovation Centre- Fondazione Edmund Mach, S. Michele all’Adige (Trento), Italy
| | - Iacopo Passeri
- Institute for Sustainable Plant Protection (IPSP), The National Research Council of Italy (CNR), Sesto Fiorentino (Florence), Italy
| | - Ilaria Fracasso
- Forest Ecology Unit, Research and Innovation Centre- Fondazione Edmund Mach, S. Michele all’Adige (Trento), Italy
- Faculty of Science and Technology, Free University of Bolzano-Bozen, Bolzano, Italy
| | - Federico Sebastiani
- Institute for Sustainable Plant Protection (IPSP), The National Research Council of Italy (CNR), Sesto Fiorentino (Florence), Italy
| | - Cristiano Vernesi
- Forest Ecology Unit, Research and Innovation Centre- Fondazione Edmund Mach, S. Michele all’Adige (Trento), Italy
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Khan A, Korban SS. Breeding and genetics of disease resistance in temperate fruit trees: challenges and new opportunities. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:3961-3985. [PMID: 35441862 DOI: 10.1007/s00122-022-04093-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 03/29/2022] [Indexed: 06/14/2023]
Abstract
Climate change, large monocultures of disease-susceptible cultivars, overuse of pesticides, and the emergence of new pathogens or pathogenic strains causing economic losses are all major threats to our environment, health, food, and nutritional supply. Temperate tree fruit crops belonging to the Rosaceae family are the most economically important and widely grown fruit crops. These long-lived crops are under attack from many different pathogens, incurring major economic losses. Multiple chemical sprays to control various diseases annually is a common practice, resulting in significant input costs, as well as environmental and health concerns. Breeding for disease resistance has been undertaken primarily in pome fruit crops (apples and pears) for a few fungal and bacterial diseases, and to a lesser extent in some stone fruit crops. These breeding efforts have taken multiple decades due to the biological constraints and complex genetics of these tree fruit crops. Over the past couple of decades, major advances have been made in genetic and physical mapping, genomics, biotechnology, genome sequencing, and phenomics, along with accumulation of large germplasm collections in repositories. These valuable resources offer opportunities to make significant advances in greatly reducing the time needed to either develop new cultivars or modify existing economic cultivars for enhanced resistance to multiple diseases. This review will cover current knowledge, challenges, and opportunities in breeding for disease resistance in temperate tree fruit crops.
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Affiliation(s)
- Awais Khan
- Plant Pathology and Plant-Microbe Biology Section, Cornell University, Geneva, NY, 14456, USA.
| | - Schuyler S Korban
- Department of Natural Sciences and Environmental Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
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Wang Z, Ma B, Yang N, Jin L, Wang L, Ma S, Ruan YL, Ma F, Li M. Variation in the promoter of the sorbitol dehydrogenase gene MdSDH2 affects binding of the transcription factor MdABI3 and alters fructose content in apple fruit. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2022; 109:1183-1198. [PMID: 34888978 DOI: 10.1111/tpj.15624] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Revised: 11/14/2021] [Accepted: 12/06/2021] [Indexed: 06/13/2023]
Abstract
Fructose (Fru) content is a key determinant of fruit sweetness and quality. An F1 hybrid population of the apple cultivars 'Honeycrisp' × 'Qinguan' was used to investigate the quantitative trait locus (QTL) regions and genes controlling Fru content in fruit. A stable QTL on linkage group (LG) 01 in 'Honeycrisp' was detected on the single nucleotide polymorphism (SNP) genetic linkage maps. In this region, a sorbitol dehydrogenase (SDH) gene, MdSDH2, was detected and showed promoter variations and differential expression patterns between 'Honeycrisp' and 'Qinguan' fruits as well as their hybrids. A SNP variant (A/G) in the MdSDH2 promoter region (SDH2p-491) affected the binding ability of the transcription factor MdABI3, which can affect the expression of MdSDH2. Promoter sequences with an A nucleotide at SDH2p-491 had stronger binding affinity for MdABI3 than those with a G. Among 27 domesticated apple cultivars and wild relatives, this SNP (A/G) was associated with Fru content. Our results indicate that MdSDH2 can alter Fru content as the major regulatory gene and that ABA signaling might be involved in Fru content accumulation in apple fruit.
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Affiliation(s)
- Zhengyang Wang
- State Key Laboratory of Crop Stress Biology for Arid Areas/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Baiquan Ma
- State Key Laboratory of Crop Stress Biology for Arid Areas/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Nanxiang Yang
- State Key Laboratory of Crop Stress Biology for Arid Areas/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Ling Jin
- State Key Laboratory of Crop Stress Biology for Arid Areas/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Lan Wang
- State Key Laboratory of Crop Stress Biology for Arid Areas/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Songya Ma
- State Key Laboratory of Crop Stress Biology for Arid Areas/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Yong-Ling Ruan
- School of Environmental and Life Sciences, The University of Newcastle, Callaghan, NSW, 2308, Australia
| | - Fengwang Ma
- State Key Laboratory of Crop Stress Biology for Arid Areas/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Mingjun Li
- State Key Laboratory of Crop Stress Biology for Arid Areas/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling, Shaanxi, 712100, China
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Mattia MR, Du D, Yu Q, Kahn T, Roose M, Hiraoka Y, Wang Y, Munoz P, Gmitter FG. Genome-Wide Association Study of Healthful Flavonoids among Diverse Mandarin Accessions. PLANTS 2022; 11:plants11030317. [PMID: 35161299 PMCID: PMC8839032 DOI: 10.3390/plants11030317] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 01/13/2022] [Accepted: 01/17/2022] [Indexed: 11/16/2022]
Abstract
Mandarins have many unique flavonoids with documented health benefits and that help to prevent chronic human diseases. Flavonoids are difficult to measure and cannot be phenotyped without the use of specialized equipment; consequently, citrus breeders have not used flavonoid contents as selection criteria to develop cultivars with increased benefits for human health or increased tolerance to diseases. In this study, peel, pulp, and seed samples collected from many mandarin accessions and their hybrids were analyzed for the presence of selected flavonoids with documented human health benefits. A genome-wide association study (GWAS) was used to identify SNPs associated with biosynthesis of flavonoids in these mandarin accessions, and there were 420 significant SNPs were found to be associated with 28 compounds in peel, pulp, or seed samples. Four candidate genes involved in flavonoid biosynthesis were identified by enrichment analysis. SNPs that were found to be associated with compounds in pulp samples have the potential to be used as markers to select mandarins with improved phytonutrient content to benefit human health. Mandarin cultivars bred with increased flavonoid content may provide value to growers and consumers.
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Affiliation(s)
- Matthew R. Mattia
- Citrus Research and Education Center, Department of Horticultural Sciences, University of Florida, Lake Alfred, FL 33850, USA; (M.R.M.); (D.D.); (Q.Y.); (Y.W.)
| | - Dongliang Du
- Citrus Research and Education Center, Department of Horticultural Sciences, University of Florida, Lake Alfred, FL 33850, USA; (M.R.M.); (D.D.); (Q.Y.); (Y.W.)
| | - Qibin Yu
- Citrus Research and Education Center, Department of Horticultural Sciences, University of Florida, Lake Alfred, FL 33850, USA; (M.R.M.); (D.D.); (Q.Y.); (Y.W.)
| | - Tracy Kahn
- Department of Botany and Plant Sciences, University of California, Riverside, CA 92521, USA; (T.K.); (M.R.); (Y.H.)
| | - Mikeal Roose
- Department of Botany and Plant Sciences, University of California, Riverside, CA 92521, USA; (T.K.); (M.R.); (Y.H.)
| | - Yoko Hiraoka
- Department of Botany and Plant Sciences, University of California, Riverside, CA 92521, USA; (T.K.); (M.R.); (Y.H.)
| | - Yu Wang
- Citrus Research and Education Center, Department of Horticultural Sciences, University of Florida, Lake Alfred, FL 33850, USA; (M.R.M.); (D.D.); (Q.Y.); (Y.W.)
| | - Patricio Munoz
- Department of Horticultural Sciences, University of Florida, Gainesville, FL 32611, USA;
| | - Fred G. Gmitter
- Citrus Research and Education Center, Department of Horticultural Sciences, University of Florida, Lake Alfred, FL 33850, USA; (M.R.M.); (D.D.); (Q.Y.); (Y.W.)
- Correspondence:
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Zahid G, Aka Kaçar Y, Dönmez D, Küden A, Giordani T. Perspectives and recent progress of genome-wide association studies (GWAS) in fruits. Mol Biol Rep 2022; 49:5341-5352. [PMID: 35064403 DOI: 10.1007/s11033-021-07055-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 12/06/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND Earlier next-generation sequencing technologies are being vastly used to explore, administer, and investigate the gene space with accurate profiling of nucleotide variations in the germplasm. OVERVIEW AND PROGRESS: Recently, novel advancements in high-throughput sequencing technologies allow a genotyping-by-sequencing approach that has opened up new horizons for extensive genotyping exploiting single-nucleotide-polymorphisms (SNPs). This method acts as a bridge to support and minimize a genotype to phenotype gap allowing genetic selection at the genome-wide level, named genomic selection that could facilitate the selection of traits also in the pomology sector. In addition to this, genome-wide genotyping is a prerequisite for genome-wide association studies that have been used successfully to discover the genes, which control polygenic traits including the genetic loci, associated with the trait of interest in fruit crops. AIMS AND PROSPECTS This review article emphasizes the role of genome-wide approaches to unlock and explore the genetic potential along with the detection of SNPs affecting the phenotype of fruit crops and highlights the prospects of genome-wide association studies in fruits.
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Affiliation(s)
- Ghassan Zahid
- Department of Biotechnology, Institute of Natural and Applied Sciences, Çukurova University, 01330, Adana, Turkey.
| | - Yıldız Aka Kaçar
- Department of Horticulture, Faculty of Agriculture, Çukurova University, 01330, Adana, Turkey
| | - Dicle Dönmez
- Biotechnology Research and Application Center, Çukurova University, 01330, Adana, Turkey
| | - Ayzin Küden
- Department of Horticulture, Faculty of Agriculture, Çukurova University, 01330, Adana, Turkey
| | - Tommaso Giordani
- Department of Agriculture, Food and Environment, University of Pisa, 56124, Pisa, Italy
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Cañas-Gutiérrez GP, Sepulveda-Ortega S, López-Hernández F, Navas-Arboleda AA, Cortés AJ. Inheritance of Yield Components and Morphological Traits in Avocado cv. Hass From "Criollo" "Elite Trees" via Half-Sib Seedling Rootstocks. FRONTIERS IN PLANT SCIENCE 2022; 13:843099. [PMID: 35685008 PMCID: PMC9171141 DOI: 10.3389/fpls.2022.843099] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Accepted: 02/10/2022] [Indexed: 05/11/2023]
Abstract
Grafting induces precocity and maintains clonal integrity in fruit tree crops. However, the complex rootstock × scion interaction often precludes understanding how the tree phenotype is shaped, limiting the potential to select optimum rootstocks. Therefore, it is necessary to assess (1) how seedling progenies inherit trait variation from elite 'plus trees', and (2) whether such family superiority may be transferred after grafting to the clonal scion. To bridge this gap, we quantified additive genetic parameters (i.e., narrow sense heritability-h 2, and genetic-estimated breeding values-GEBVs) across landraces, "criollo", "plus trees" of the super-food fruit tree crop avocado (Persea americana Mill.), and their open-pollinated (OP) half-sib seedling families. Specifically, we used a genomic best linear unbiased prediction (G-BLUP) model to merge phenotypic characterization of 17 morpho-agronomic traits with genetic screening of 13 highly polymorphic SSR markers in a diverse panel of 104 avocado "criollo" "plus trees." Estimated additive genetic parameters were validated at a 5-year-old common garden trial (i.e., provenance test), in which 22 OP half-sib seedlings from 82 elite "plus trees" served as rootstocks for the cv. Hass clone. Heritability (h 2) scores in the "criollo" "plus trees" ranged from 0.28 to 0.51. The highest h 2 values were observed for ribbed petiole and adaxial veins with 0.47 (CI 95%0.2-0.8) and 0.51 (CI 0.2-0.8), respectively. The h 2 scores for the agronomic traits ranged from 0.34 (CI 0.2-0.6) to 0.39 (CI 0.2-0.6) for seed weight, fruit weight, and total volume, respectively. When inspecting yield variation across 5-year-old grafted avocado cv. Hass trees with elite OP half-sib seedling rootstocks, the traits total number of fruits and fruits' weight, respectively, exhibited h 2 scores of 0.36 (± 0.23) and 0.11 (± 0.09). Our results indicate that elite "criollo" "plus trees" may serve as promissory donors of seedling rootstocks for avocado cv. Hass orchards due to the inheritance of their outstanding trait values. This reinforces the feasibility to leverage natural variation from "plus trees" via OP half-sib seedling rootstock families. By jointly estimating half-sib family effects and rootstock-mediated heritability, this study promises boosting seedling rootstock breeding programs, while better discerning the consequences of grafting in fruit tree crops.
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Affiliation(s)
- Gloria Patricia Cañas-Gutiérrez
- Corporación Colombiana de Investigación Agropecuaria AGROSAVIA, C.I. La Selva, Rionegro, Colombia
- Corporation for Biological Research (CIB), Unit of Phytosanity and Biological Control, Medellín, Colombia
- *Correspondence: Gloria Patricia Cañas-Gutiérrez,
| | - Stella Sepulveda-Ortega
- Corporación Colombiana de Investigación Agropecuaria AGROSAVIA, C.I. La Selva, Rionegro, Colombia
| | - Felipe López-Hernández
- Corporación Colombiana de Investigación Agropecuaria AGROSAVIA, C.I. La Selva, Rionegro, Colombia
| | | | - Andrés J. Cortés
- Corporación Colombiana de Investigación Agropecuaria AGROSAVIA, C.I. La Selva, Rionegro, Colombia
- Andrés J. Cortés,
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Gene Frequency Shift in Relict Abies pinsapo Forests Associated with Drought-Induced Mortality: Preliminary Evidence of Local-Scale Divergent Selection. FORESTS 2021. [DOI: 10.3390/f12091220] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Current climate change constitutes a challenge for the survival of several drought-sensitive forests. The study of the genetic basis of adaptation offers a suitable way to understand how tree species may respond to future climatic conditions, as well as to design suitable conservation and management strategies. Here, we focus on selected genetic signatures of the drought-sensitive relict fir, Abies pinsapo Boiss. Field sampling of 156 individuals was performed in two elevation ecotones, characterized by widespread A. pinsapo decline and mortality. The DNA from dead trees was investigated and compared to living individuals, accounting for different ages and elevations. We studied the genes gated outwardly-rectifying K+ (GORK) channel and Plasma membrane Intrinsic Protein (PIP1) aquaporin, previously related to drought response in plant model species, to test whether drought was the main abiotic factor driving the decline of A. pinsapo forests. A combination of linear regression and factor models were used to test these selection signatures, as well as a fixation index (Fst), used here to analyze the genetic structure. The results were consistent among these approaches, supporting a statistically significant association of the GORK gene with survival in one of the A. pinsapo populations. These results provide preliminary evidence for the potential role of the GORK gene in the resilience to drought of A. pinsapo.
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Thapa R, Singh J, Gutierrez B, Arro J, Khan A. Genome-wide association mapping identifies novel loci underlying fire blight resistance in apple. THE PLANT GENOME 2021; 14:e20087. [PMID: 33650322 DOI: 10.1002/tpg2.20087] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Accepted: 12/17/2020] [Indexed: 05/12/2023]
Abstract
Fire blight, caused by epiphytotic gram-negative bacteria Erwinia amylovora, is the most destructive bacterial disease of apple (Malus spp.). Genetic mechanisms of fire blight resistance have mainly been studied using traditional biparental quantitative trait loci (QTL) mapping approaches. Here, we use large-scale historic shoot and blossom fire blight data collected over multiple years and genotyping-by-sequencing (GBS) markers to identify significant marker-trait associations in a diverse set of 566 apple [Malus domestica (Suckow) Borkh.] accessions. There was large variation in fire blight resistance and susceptibility in these accessions. We identified 23 and 38 QTL significantly (p < .001) associated with shoot and blossom blight resistance, respectively. The QTL are distributed across all 17 chromosomes of apple. Four shoot blight and 19 blossom blight QTL identified in this study colocalized with previously identified QTL associated with resistance to fire blight or apple scab. Using transcriptomics data of two apple cultivars with contrasting fire blight responses, we also identified candidate genes for fire blight resistance that are differentially expressed between resistant and susceptible cultivars and located within QTL intervals for fire blight resistance. However, further experiments are needed to confirm and validate these marker-trait associations and develop diagnostic markers before use in marker-assisted breeding to develop apple cultivars with decreased fire blight susceptibility.
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Affiliation(s)
- Ranjita Thapa
- Plant Pathology and Plant-Microbe Biology Section, Cornell University, Geneva, NY, 14456, USA
| | - Jugpreet Singh
- Plant Pathology and Plant-Microbe Biology Section, Cornell University, Geneva, NY, 14456, USA
| | - Benjamin Gutierrez
- USDA-ARS Plant Genetic Resources Unit, New York State Agricultural Experiment Station, 630 West North Street, Geneva, NY, 14456, USA
| | - Jie Arro
- USDA-ARS Plant Genetic Resources Unit, New York State Agricultural Experiment Station, 630 West North Street, Geneva, NY, 14456, USA
| | - Awais Khan
- Plant Pathology and Plant-Microbe Biology Section, Cornell University, Geneva, NY, 14456, USA
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12
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Mohammadi Alaghuz R, Darvishzadeh R, Alijanpour A, Razi M. Toward the identification of molecular markers associated with phytochemical traits in the Iranian sumac ( Rhus coriaria L.) population. Food Sci Nutr 2021; 9:3142-3154. [PMID: 34136179 PMCID: PMC8194943 DOI: 10.1002/fsn3.2273] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 03/09/2021] [Accepted: 03/14/2021] [Indexed: 02/04/2023] Open
Abstract
Sumac (Rhus coriaria L.) is one of the important forest species dispersed in the northwest of Iran. It is one of the important spice in Iran and the Middle East because of active components containing organic acids, phenolic acids, flavonoids, anthocyanins, tannins and terpenoids. This study aimed to investigate population structure and linkage disequilibrium (LD) extent within Rhus coriaria L. genotypes using ISSR markers and identify molecular markers associated with phytochemical traits using association analysis. In the molecular part of the experiment, the genetic diversity of 75 sumac genotypes from five different areas of northwest Iran was assessed by 18 ISSR primers. In the phenotypic assessment, the fruits of the sumac genotypes were analyzed using HPLC-LC/MSMS for determining phytochemical components including maleic acid, ellagic acid, maleic acid hexoside, gallic acid, coumaric acid, quercetin, caftaric acid, and linoleic acid. The phenotypic data analysis revealed the great phenotypic diversity among and within Iranian sumac populations for the studied phytochemical traits. The studied sumac genotypes were divided into two subpopulations based on molecular marker-based structure analysis. A significant level of LD was observed in 11.64% of the ISSR marker pairs (p < .05). The mixed linear model procedure showed that 12 loci had a significant association with investigated traits. The ISSR loci identified in this study can be potentially used in marker-assisted selection in sumac breeding programs.
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Affiliation(s)
- Rasoul Mohammadi Alaghuz
- Agricultural BiotechnologyDepartment of Plant Production and GeneticsFaculty of Agriculture and Natural ResourcesUrmia UniversityUrmiaIran
| | - Reza Darvishzadeh
- Department of Plant Production and GeneticsFaculty of Agriculture and Natural ResourcesUrmia UniversityUrmiaIran
| | - Ahmad Alijanpour
- Department of ForestryFaculty of Agriculture and Natural ResourcesUrmia UniversityUrmiaIran
| | - Mitra Razi
- Department of Plant Production and GeneticsFaculty of Agriculture and Natural ResourcesUrmia UniversityUrmiaIran
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O'Connor KM, Hayes BJ, Hardner CM, Alam M, Henry RJ, Topp BL. Genomic selection and genetic gain for nut yield in an Australian macadamia breeding population. BMC Genomics 2021; 22:370. [PMID: 34016055 PMCID: PMC8139092 DOI: 10.1186/s12864-021-07694-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 05/10/2021] [Indexed: 02/06/2023] Open
Abstract
Background Improving yield prediction and selection efficiency is critical for tree breeding. This is vital for macadamia trees with the time from crossing to production of new cultivars being almost a quarter of a century. Genomic selection (GS) is a useful tool in plant breeding, particularly with perennial trees, contributing to an increased rate of genetic gain and reducing the length of the breeding cycle. We investigated the potential of using GS methods to increase genetic gain and accelerate selection efficiency in the Australian macadamia breeding program with comparison to traditional breeding methods. This study evaluated the prediction accuracy of GS in a macadamia breeding population of 295 full-sib progeny from 32 families (29 parents, reciprocals combined), along with a subset of parents. Historical yield data for tree ages 5 to 8years were used in the study, along with a set of 4113 SNP markers. The traits of focus were average nut yield from tree ages 5 to 8years and yield stability, measured as the standard deviation of yield over these 4 years. GBLUP GS models were used to obtain genomic estimated breeding values for each genotype, with a five-fold cross-validation method and two techniques: prediction across related populations and prediction across unrelated populations. Results Narrow-sense heritability of yield and yield stability was low (h2=0.30 and 0.04, respectively). Prediction accuracy for yield was 0.57 for predictions across related populations and 0.14 when predicted across unrelated populations. Accuracy of prediction of yield stability was high (r=0.79) for predictions across related populations. Predicted genetic gain of yield using GS in related populations was 474g/year, more than double that of traditional breeding methods (226g/year), due to the halving of generation length from 8 to 4years. Conclusions The results of this study indicate that the incorporation of GS for yield into the Australian macadamia breeding program may accelerate genetic gain due to reduction in generation length, though the cost of genotyping appears to be a constraint at present. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-021-07694-z.
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Affiliation(s)
- Katie M O'Connor
- Queensland Department of Agriculture and Fisheries, Maroochy Research Facility, 47 Mayers Road, Nambour, QLD, 4560, Australia. .,Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Maroochy Research Facility, 47 Mayers Road, Nambour, QLD, 4560, Australia.
| | - Ben J Hayes
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, St Lucia, QLD, 4072, Australia
| | - Craig M Hardner
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, St Lucia, QLD, 4072, Australia
| | - Mobashwer Alam
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Maroochy Research Facility, 47 Mayers Road, Nambour, QLD, 4560, Australia
| | - Robert J Henry
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, St Lucia, QLD, 4072, Australia
| | - Bruce L Topp
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Maroochy Research Facility, 47 Mayers Road, Nambour, QLD, 4560, Australia
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Santini F, Kefauver SC, Araus JL, Resco de Dios V, Martín García S, Grivet D, Voltas J. Bridging the genotype-phenotype gap for a Mediterranean pine by semi-automatic crown identification and multispectral imagery. THE NEW PHYTOLOGIST 2021; 229:245-258. [PMID: 32893885 DOI: 10.1111/nph.16862] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Accepted: 07/31/2020] [Indexed: 06/11/2023]
Abstract
Progress in high-throughput phenotyping and genomics provides the potential to understand the genetic basis of plant functional differentiation. We developed a semi-automatic methodology based on unmanned aerial vehicle (UAV) imagery for deriving tree-level phenotypes followed by genome-wide association study (GWAS). An RGB-based point cloud was used for tree crown identification in a common garden of Pinus halepensis in Spain. Crowns were combined with multispectral and thermal orthomosaics to retrieve growth traits, vegetation indices and canopy temperature. Thereafter, GWAS was performed to analyse the association between phenotypes and genomic variation at 235 single nucleotide polymorphisms (SNPs). Growth traits were associated with 12 SNPs involved in cellulose and carbohydrate metabolism. Indices related to transpiration and leaf water content were associated with six SNPs involved in stomata dynamics. Indices related to leaf pigments and leaf area were associated with 11 SNPs involved in signalling and peroxisome metabolism. About 16-20% of trait variance was explained by combinations of several SNPs, indicating polygenic control of morpho-physiological traits. Despite a limited availability of markers and individuals, this study is provides a successful proof-of-concept for the combination of high-throughput UAV-based phenotyping with cost-effective genotyping to disentangle the genetic architecture of phenotypic variation in a widespread conifer.
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Affiliation(s)
- Filippo Santini
- Joint Research Unit CTFC - AGROTECNIO, Av. Alcalde Rovira Roure 191, Lleida, E-25198, Spain
- Department of Crop and Forest Sciences, University of Lleida, Av. Alcalde Rovira Roure 191, Lleida, E-25198, Spain
| | - Shawn Carlisle Kefauver
- AGROTECNIO (Center for Research in Agrotechnology), Av. Alcalde Rovira Roure 191, Lleida, E-25198, Spain
- Integrative Crop Ecophysiology Group, Plant Physiology Section, Faculty of Biology, University of Barcelona, Barcelona, E-08028, Spain
| | - José Luis Araus
- AGROTECNIO (Center for Research in Agrotechnology), Av. Alcalde Rovira Roure 191, Lleida, E-25198, Spain
- Integrative Crop Ecophysiology Group, Plant Physiology Section, Faculty of Biology, University of Barcelona, Barcelona, E-08028, Spain
| | - Víctor Resco de Dios
- Joint Research Unit CTFC - AGROTECNIO, Av. Alcalde Rovira Roure 191, Lleida, E-25198, Spain
- Department of Crop and Forest Sciences, University of Lleida, Av. Alcalde Rovira Roure 191, Lleida, E-25198, Spain
- School of Life Science and Engineering, Southwest University of Science and Technology, 59 Qinglong Ave., Mianyang, 621010, China
| | | | - Delphine Grivet
- Department of Forest Ecology and Genetics, Forest Research Centre, INIA, Carretera A Coruña km 7.5, Madrid, E-28040, Spain
| | - Jordi Voltas
- Joint Research Unit CTFC - AGROTECNIO, Av. Alcalde Rovira Roure 191, Lleida, E-25198, Spain
- Department of Crop and Forest Sciences, University of Lleida, Av. Alcalde Rovira Roure 191, Lleida, E-25198, Spain
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Reyes-Herrera PH, Muñoz-Baena L, Velásquez-Zapata V, Patiño L, Delgado-Paz OA, Díaz-Diez CA, Navas-Arboleda AA, Cortés AJ. Inheritance of Rootstock Effects in Avocado ( Persea americana Mill.) cv. Hass. FRONTIERS IN PLANT SCIENCE 2020; 11:555071. [PMID: 33424874 PMCID: PMC7785968 DOI: 10.3389/fpls.2020.555071] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 11/17/2020] [Indexed: 05/16/2023]
Abstract
Grafting is typically utilized to merge adapted seedling rootstocks with highly productive clonal scions. This process implies the interaction of multiple genomes to produce a unique tree phenotype. However, the interconnection of both genotypes obscures individual contributions to phenotypic variation (rootstock-mediated heritability), hampering tree breeding. Therefore, our goal was to quantify the inheritance of seedling rootstock effects on scion traits using avocado (Persea americana Mill.) cv. Hass as a model fruit tree. We characterized 240 diverse rootstocks from 8 avocado cv. Hass orchards with similar management in three regions of the province of Antioquia, northwest Andes of Colombia, using 13 microsatellite markers simple sequence repeats (SSRs). Parallel to this, we recorded 20 phenotypic traits (including morphological, biomass/reproductive, and fruit yield and quality traits) in the scions for 3 years (2015-2017). Relatedness among rootstocks was inferred through the genetic markers and inputted in a "genetic prediction" model to calculate narrow-sense heritabilities (h 2) on scion traits. We used three different randomization tests to highlight traits with consistently significant heritability estimates. This strategy allowed us to capture five traits with significant heritability values that ranged from 0.33 to 0.45 and model fits (r) that oscillated between 0.58 and 0.73 across orchards. The results showed significance in the rootstock effects for four complex harvest and quality traits (i.e., total number of fruits, number of fruits with exportation quality, and number of fruits discarded because of low weight or thrips damage), whereas the only morphological trait that had a significant heritability value was overall trunk height (an emergent property of the rootstock-scion interaction). These findings suggest the inheritance of rootstock effects, beyond root phenotype, on a surprisingly wide spectrum of scion traits in "Hass" avocado. They also reinforce the utility of polymorphic SSRs for relatedness reconstruction and genetic prediction of complex traits. This research is, up to date, the most cohesive evidence of narrow-sense inheritance of rootstock effects in a tropical fruit tree crop. Ultimately, our work highlights the importance of considering the rootstock-scion interaction to broaden the genetic basis of fruit tree breeding programs while enhancing our understanding of the consequences of grafting.
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Affiliation(s)
- Paula H. Reyes-Herrera
- Corporación Colombiana de Investigación Agropecuaria (AGROSAVIA)—CI Tibaitatá, Mosquera, Colombia
| | - Laura Muñoz-Baena
- Department of Microbiology and Immunology, Western University, London, ON, Canada
| | - Valeria Velásquez-Zapata
- Department of Plant Pathology and Microbiology, Interdepartmental Bioinformatics and Computational Biology, Iowa State University, Ames, IA, United States
| | - Laura Patiño
- Corporación Colombiana de Investigación Agropecuaria (AGROSAVIA)—CI La Selva, Rionegro, Colombia
| | - Oscar A. Delgado-Paz
- Facultad de Ingenierías, Universidad Católica de Oriente—UCO, Rionegro, Antioquia
| | - Cipriano A. Díaz-Diez
- Corporación Colombiana de Investigación Agropecuaria (AGROSAVIA)—CI La Selva, Rionegro, Colombia
| | | | - Andrés J. Cortés
- Corporación Colombiana de Investigación Agropecuaria (AGROSAVIA)—CI La Selva, Rionegro, Colombia
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16
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Cortés AJ, Restrepo-Montoya M, Bedoya-Canas LE. Modern Strategies to Assess and Breed Forest Tree Adaptation to Changing Climate. FRONTIERS IN PLANT SCIENCE 2020; 11:583323. [PMID: 33193532 PMCID: PMC7609427 DOI: 10.3389/fpls.2020.583323] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 09/29/2020] [Indexed: 05/02/2023]
Abstract
Studying the genetics of adaptation to new environments in ecologically and industrially important tree species is currently a major research line in the fields of plant science and genetic improvement for tolerance to abiotic stress. Specifically, exploring the genomic basis of local adaptation is imperative for assessing the conditions under which trees will successfully adapt in situ to global climate change. However, this knowledge has scarcely been used in conservation and forest tree improvement because woody perennials face major research limitations such as their outcrossing reproductive systems, long juvenile phase, and huge genome sizes. Therefore, in this review we discuss predictive genomic approaches that promise increasing adaptive selection accuracy and shortening generation intervals. They may also assist the detection of novel allelic variants from tree germplasm, and disclose the genomic potential of adaptation to different environments. For instance, natural populations of tree species invite using tools from the population genomics field to study the signatures of local adaptation. Conventional genetic markers and whole genome sequencing both help identifying genes and markers that diverge between local populations more than expected under neutrality, and that exhibit unique signatures of diversity indicative of "selective sweeps." Ultimately, these efforts inform the conservation and breeding status capable of pivoting forest health, ecosystem services, and sustainable production. Key long-term perspectives include understanding how trees' phylogeographic history may affect the adaptive relevant genetic variation available for adaptation to environmental change. Encouraging "big data" approaches (machine learning-ML) capable of comprehensively merging heterogeneous genomic and ecological datasets is becoming imperative, too.
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Affiliation(s)
- Andrés J. Cortés
- Corporación Colombiana de Investigación Agropecuaria AGROSAVIA, Rionegro, Colombia
- Departamento de Ciencias Forestales, Facultad de Ciencias Agrarias, Universidad Nacional de Colombia – Sede Medellín, Medellín, Colombia
| | - Manuela Restrepo-Montoya
- Departamento de Ciencias Forestales, Facultad de Ciencias Agrarias, Universidad Nacional de Colombia – Sede Medellín, Medellín, Colombia
| | - Larry E. Bedoya-Canas
- Departamento de Ciencias Forestales, Facultad de Ciencias Agrarias, Universidad Nacional de Colombia – Sede Medellín, Medellín, Colombia
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Wang H, Yan A, Sun L, Zhang G, Wang X, Ren J, Xu H. Novel stable QTLs identification for berry quality traits based on high-density genetic linkage map construction in table grape. BMC PLANT BIOLOGY 2020; 20:411. [PMID: 32883214 PMCID: PMC7470616 DOI: 10.1186/s12870-020-02630-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 08/30/2020] [Indexed: 05/18/2023]
Abstract
BACKGROUND Aroma, berry firmness and berry shape are three main quality traits in table grape production, and also the important target traits in grapevine breeding. However, the information about their genetic mechanisms is limited, which results in low accuracy and efficiency of quality breeding in grapevine. Mapping and isolation of quantitative trait locus (QTLs) based on the construction of genetic linkage map is a powerful approach to decipher the genetic determinants of complex quantitative traits. RESULTS In the present work, a final integrated map consisting of 3411 SLAF markers on 19 linkage groups (LGs) with an average distance of 0.98 cM between adjacent markers was generated using the specific length amplified fragment sequencing (SLAF-seq) technique. A total of 9 significant stable QTLs for Muscat flavor, berry firmness and berry shape were identified on two linkage groups among the hybrids analyzed over three consecutive years from 2016 to 2018. Notably, new stable QTLs for berry firmness and berry shape were found on LG 8 respectively for the first time. Based on biological function and expression profiles of candidate genes in the major QTL regions, 3 genes (VIT_08s0007g00440, VIT_08s0040g02740 and VIT_08s0040g02350) related to berry firmness and 3 genes (VIT_08s0032g01110, VIT_08s0032g01150 and VIT_08s0105g00200) linked to berry shape were highlighted. Overexpression of VIT_08s0032g01110 in transgenic Arabidopsis plants caused the change of pod shape. CONCLUSIONS A new high-density genetic map with total 3411 markers was constructed with SLAF-seq technique, and thus enabled the detection of narrow interval QTLs for relevant traits in grapevine. VIT_08s0007g00440, VIT_08s0040g02740 and VIT_08s0040g02350 were found to be related to berry firmness, while VIT_08s0032g01110, VIT_08s0032g01150 and VIT_08s0105g00200 were linked to berry shape.
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Affiliation(s)
- Huiling Wang
- Beijing Academy of Forestry and Pomology Sciences, Beijing, 100093, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture and Rural Affairs, Beijing, 100093, P.R. China
| | - Ailing Yan
- Beijing Academy of Forestry and Pomology Sciences, Beijing, 100093, China
- Beijing Engineering Research Center for Deciduous Fruit Trees, Beijing, 100093, P.R. China
| | - Lei Sun
- Beijing Academy of Forestry and Pomology Sciences, Beijing, 100093, China
| | - Guojun Zhang
- Beijing Academy of Forestry and Pomology Sciences, Beijing, 100093, China
| | - Xiaoyue Wang
- Beijing Academy of Forestry and Pomology Sciences, Beijing, 100093, China
| | - Jiancheng Ren
- Beijing Academy of Forestry and Pomology Sciences, Beijing, 100093, China
| | - Haiying Xu
- Beijing Academy of Forestry and Pomology Sciences, Beijing, 100093, China.
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Hazzouri KM, Flowers JM, Nelson D, Lemansour A, Masmoudi K, Amiri KMA. Prospects for the Study and Improvement of Abiotic Stress Tolerance in Date Palms in the Post-genomics Era. FRONTIERS IN PLANT SCIENCE 2020; 11:293. [PMID: 32256513 PMCID: PMC7090123 DOI: 10.3389/fpls.2020.00293] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2019] [Accepted: 02/26/2020] [Indexed: 05/05/2023]
Abstract
Date palm (Phoenix dactylifera L.) is a socio-economically important crop in the Middle East and North Africa and a major contributor to food security in arid regions of the world. P. dactylifera is both drought and salt tolerant, but recent water shortages and increases in groundwater and soil salinity have threatened the continued productivity of the crop. Recent studies of date palm have begun to elucidate the physiological mechanisms of abiotic stress tolerance and the genes and biochemical pathways that control the response to these stresses. Here we review recent studies on tolerance of date palm to salinity and drought stress, the role of the soil and root microbiomes in abiotic stress tolerance, and highlight recent findings of omic-type studies. We present a perspective on future research of abiotic stress in date palm that includes improving existing genome resources, application of genetic mapping to determine the genetic basis of variation in tolerances among cultivars, and adoption of gene-editing technologies to the study of abiotic stress in date palms. Development of necessary resources and application of the proposed methods will provide a foundation for future breeders and genetic engineers aiming to develop more stress-tolerant cultivars of date palm.
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Affiliation(s)
- Khaled Michel Hazzouri
- Khalifa Center for Genetic Engineering and Biotechnology, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Jonathan M. Flowers
- Center for Genomics and Systems Biology (CGSB), New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
- Center for Genomics and Systems Biology, New York University, New York, NY, United States
| | - David Nelson
- Center for Genomics and Systems Biology (CGSB), New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
| | | | - Khaled Masmoudi
- College of Food and Agriculture, Department of Integrative Agriculture, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Khaled M. A. Amiri
- Khalifa Center for Genetic Engineering and Biotechnology, United Arab Emirates University, Al Ain, United Arab Emirates
- College of Science, Department of Biology, United Arab Emirates University, Al Ain, United Arab Emirates
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19
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O'Connor K, Hayes B, Hardner C, Nock C, Baten A, Alam M, Henry R, Topp B. Genome-wide association studies for yield component traits in a macadamia breeding population. BMC Genomics 2020; 21:199. [PMID: 32131725 PMCID: PMC7057592 DOI: 10.1186/s12864-020-6575-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Accepted: 02/10/2020] [Indexed: 11/12/2022] Open
Abstract
Background Breeding for new macadamia cultivars with high nut yield is expensive in terms of time, labour and cost. Most trees set nuts after four to five years, and candidate varieties for breeding are evaluated for at least eight years for various traits. Genome-wide association studies (GWAS) are promising methods to reduce evaluation and selection cycles by identifying genetic markers linked with key traits, potentially enabling early selection through marker-assisted selection. This study used 295 progeny from 32 full-sib families and 29 parents (18 phenotyped) which were planted across four sites, with each tree genotyped for 4113 SNPs. ASReml-R was used to perform association analyses with linear mixed models including a genomic relationship matrix to account for population structure. Traits investigated were: nut weight (NW), kernel weight (KW), kernel recovery (KR), percentage of whole kernels (WK), tree trunk circumference (TC), percentage of racemes that survived from flowering through to nut set, and number of nuts per raceme. Results Seven SNPs were significantly associated with NW (at a genome-wide false discovery rate of < 0.05), and four with WK. Multiple regression, as well as mapping of markers to genome assembly scaffolds suggested that some SNPs were detecting the same QTL. There were 44 significant SNPs identified for TC although multiple regression suggested detection of 16 separate QTLs. Conclusions These findings have important implications for macadamia breeding, and highlight the difficulties of heterozygous populations with rapid LD decay. By coupling validated marker-trait associations detected through GWAS with MAS, genetic gain could be increased by reducing the selection time for economically important nut characteristics. Genomic selection may be a more appropriate method to predict complex traits like tree size and yield.
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Affiliation(s)
- Katie O'Connor
- Queensland Department of Agriculture and Fisheries, Maroochy Research Facility, Nambour, Qld, Australia. .,Queensland Alliance for Agriculture and Food Innovation, University of Queensland, St Lucia, Qld, Australia.
| | - Ben Hayes
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, St Lucia, Qld, Australia
| | - Craig Hardner
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, St Lucia, Qld, Australia
| | - Catherine Nock
- Southern Cross Plant Science, Southern Cross University, Lismore, NSW, Australia
| | - Abdul Baten
- Southern Cross Plant Science, Southern Cross University, Lismore, NSW, Australia.,AgResearch, Grasslands Research Centre, Palmerston North, New Zealand
| | - Mobashwer Alam
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, St Lucia, Qld, Australia
| | - Robert Henry
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, St Lucia, Qld, Australia
| | - Bruce Topp
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, St Lucia, Qld, Australia
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20
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Potential of Genome-Wide Association Studies and Genomic Selection to Improve Productivity and Quality of Commercial Timber Species in Tropical Rainforest, a Case Study of Shorea platyclados. FORESTS 2020. [DOI: 10.3390/f11020239] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Shorea platyclados (Dark Red Meranti) is a commercially important timber tree species in Southeast Asia. However, its stocks have dramatically declined due, inter alia, to excessive logging, insufficient natural regeneration and a slow recovery rate. Thus, there is a need to promote enrichment planting and develop effective technique to support its rehabilitation and improve timber production through implementation of Genome-Wide Association Studies (GWAS) and Genomic Selection (GS). To assist such efforts, plant materials were collected from a half-sib progeny population in Sari Bumi Kusuma forest concession, Kalimantan, Indonesia. Using 5900 markers in sequences obtained from 356 individuals, we detected high linkage disequilibrium (LD) extending up to >145 kb, suggesting that associations between phenotypic traits and markers in LD can be more easily and feasibly detected with GWAS than with analysis of quantitative trait loci (QTLs). However, the detection power of GWAS seems low, since few single nucleotide polymorphisms linked to any focal traits were detected with a stringent false discovery rate, indicating that the species’ phenotypic traits are mostly under polygenic quantitative control. Furthermore, Machine Learning provided higher prediction accuracies than Bayesian methods. We also found that stem diameter, branch diameter ratio and wood density were more predictable than height, clear bole, branch angle and wood stiffness traits. Our study suggests that GS has potential for improving the productivity and quality of S. platyclados, and our genomic heritability estimates may improve the selection of traits to target in future breeding of this species.
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Okada Y, Monden Y, Nokihara K, Shirasawa K, Isobe S, Tahara M. Genome-Wide Association Studies (GWAS) for Yield and Weevil Resistance in Sweet potato (Ipomoea batatas (L.) Lam). PLANT CELL REPORTS 2019; 38:1383-1392. [PMID: 31342081 DOI: 10.1007/s00299-019-02445-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Accepted: 07/17/2019] [Indexed: 05/14/2023]
Abstract
We apply the GWAS to sweet potato genome, and identified the SNPs associated with yield and weevil resistance. The sweet potato (Ipomoea batatas (L.) Lam) is a highly heterozygous, outcrossing, polyploid species, which presents challenges for genetic analysis. Therefore, we considered that genome-wide association studies (GWAS) may be applied to the study of the sweet potato genome. The yield of two sweet potato varieties [Purple Sweet Lord (PSL) and 90IDN-47] was assessed at two locations (Kumamoto and Okinawa prefectures) in Japan in 2013 and the yield scores were used for GWAS. The results showed that there were several single nucleotide polymorphisms (SNP) above the significance thresholds in PSL; two peaks were detected in Kumamoto and Okinawa on the Ib03-3 and Ib01-4 linkage groups of PSL, respectively. As for 90IDN-47, one relatively high peak was detected in Kumamoto on the Ib13-8 linkage group. Interestingly, although high peaks above significance thresholds were detected in Kumamoto and Okinawa in PSL, the peaks were located in different linkage groups. This result suggests that the genetic regions controlling yield may change in response to environmental conditions. Additionally, we investigated the degree of weevil damage to the plants, which is the greatest problem in sweet potato cultivation in Okinawa. In this experiment, no SNPs were identified above the significance thresholds. However, one relatively high peak was found in the 90IDN-47 genotype, which showed resistance to weevils. On the other hand, one relatively high peak was also detected in the PSL genotype, which showed susceptibility to weevils. These results suggest that two regions could affect weevil resistance and may contain the gene(s) controlling weevil resistance.
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Affiliation(s)
- Yoshihiro Okada
- Kyushu Okinawa Agricultural Research Center, NARO, 820 Makabe, Itoman, Okinawa, 901-0336, Japan.
| | - Yuki Monden
- Graduate School of Environmental and Life Science, Okayama University, 1-1-1 Tsushimanaka Kitaku, Okayama, Okayama, 700-8530, Japan
| | - Kanoko Nokihara
- Graduate School of Environmental and Life Science, Okayama University, 1-1-1 Tsushimanaka Kitaku, Okayama, Okayama, 700-8530, Japan
| | - Kenta Shirasawa
- Kazusa DNA Research Institute, 2-6-7 Kazusa-kamatari, Kisarazu, Chiba, 292-0818, Japan
| | - Sachiko Isobe
- Kazusa DNA Research Institute, 2-6-7 Kazusa-kamatari, Kisarazu, Chiba, 292-0818, Japan
| | - Makoto Tahara
- Graduate School of Environmental and Life Science, Okayama University, 1-1-1 Tsushimanaka Kitaku, Okayama, Okayama, 700-8530, Japan
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Carlson CH, Gouker FE, Crowell CR, Evans L, DiFazio SP, Smart CD, Smart LB. Joint linkage and association mapping of complex traits in shrub willow (Salix purpurea L.). ANNALS OF BOTANY 2019; 124:701-716. [PMID: 31008500 PMCID: PMC6821232 DOI: 10.1093/aob/mcz047] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2018] [Accepted: 03/08/2019] [Indexed: 05/25/2023]
Abstract
BACKGROUND AND AIMS Increasing energy demands and the necessity to reduce greenhouse gas emissions are key motivating factors driving the development of lignocellulosic crops as an alternative to non-renewable energy sources. The effects of global climate change will require a better understanding of the genetic basis of complex adaptive traits to breed more resilient bioenergy feedstocks, like willow (Salix spp.). Shrub willow is a sustainable and dedicated bioenergy crop, bred to be fast-growing and high-yielding on marginal land without competing with food crops. In a rapidly changing climate, genomic advances will be vital for the sustained improvement of willow and other non-model bioenergy crops. Here, joint genetic mapping was used to exploit genetic variation garnered from both recent and historical recombination events in S. purpurea. METHODS A panel of North American naturalized S. purpurea accessions and full-sib F2S. purpurea population were genotyped and phenotyped for a suite of morphological, physiological, pest and disease resistance, and wood chemical composition traits, collected from multi-environment and multi-year replicated field trials. Controlling for population stratification and kinship in the association panel and spatial variation in the F2, a comprehensive mixed model analysis was used to dissect the complex genetic architecture and plasticity of these important traits. KEY RESULTS Individually, genome-wide association (GWAS) models differed in terms of power, but the combined approach, which corrects for yearly and environmental co-factors across datasets, improved the overall detection and resolution of associated loci. Although there were few significant GWAS hits located within support intervals of QTL for corresponding traits in the F2, many large-effect QTL were identified, as well as QTL hotspots. CONCLUSIONS This study provides the first comparison of linkage analysis and linkage disequilibrium mapping approaches in Salix, and highlights the complementarity and limits of these two methods for elucidating the genetic architecture of complex bioenergy-related traits of a woody perennial breeding programme.
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Affiliation(s)
- Craig H Carlson
- Horticulture Section, School of Integrative Plant Science, Cornell University, Cornell AgriTech, Geneva, NY, USA
| | - Fred E Gouker
- Horticulture Section, School of Integrative Plant Science, Cornell University, Cornell AgriTech, Geneva, NY, USA
| | - Chase R Crowell
- Plant Pathology and Plant-Microbe Biology Section, School of Integrative Plant Science, Cornell University, Cornell AgriTech, Geneva, NY, USA
| | - Luke Evans
- Institute for Behavioral Genetics and Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO, USA
| | - Stephen P DiFazio
- Department of Biology, West Virginia University, Morgantown, WV, USA
| | - Christine D Smart
- Plant Pathology and Plant-Microbe Biology Section, School of Integrative Plant Science, Cornell University, Cornell AgriTech, Geneva, NY, USA
| | - Lawrence B Smart
- Horticulture Section, School of Integrative Plant Science, Cornell University, Cornell AgriTech, Geneva, NY, USA
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Nantawan U, Kanchana-udomkan C, Bar I, Ford R. Linkage mapping and quantitative trait loci analysis of sweetness and other fruit quality traits in papaya. BMC PLANT BIOLOGY 2019; 19:449. [PMID: 31655544 PMCID: PMC6815024 DOI: 10.1186/s12870-019-2043-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Accepted: 09/20/2019] [Indexed: 05/09/2023]
Abstract
BACKGROUND The identification and characterisation of quantitative trait loci (QTL) is an important step towards identifying functional sequences underpinning important crop traits and for developing accurate markers for selective breeding strategies. In this study, a genotyping-by-sequencing (GBS) approach detected QTL conditioning desirable fruit quality traits in papaya. RESULTS For this, a linkage map was constructed comprising 219 single nucleotide polymorphism (SNP) loci across 10 linkage groups and covering 509 centiMorgan (cM). In total, 21 QTLs were identified for seven key fruit quality traits, including flesh sweetness, fruit weight, fruit length, fruit width skin freckle, flesh thickness and fruit firmness. Several QTL for flesh sweetness, fruit weight, length, width and firmness were stable across harvest years and individually explained up to 19.8% of the phenotypic variance of a particular trait. Where possible, candidate genes were proposed and explored further for their application to marker-assisted breeding. CONCLUSIONS This study has extended knowledge on the inheritance and genetic control for key papaya physiological and fruit quality traits. Candidate genes together with associated SNP markers represent a valuable resource for the future of strategic selective breeding of elite Australian papaya cultivars.
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Affiliation(s)
- Usana Nantawan
- Environmental Futures Research Institute, School of Environment and Sciences, Griffith University, 170 Kessels Road Nathan, Nathan, QLD 4111 Australia
| | - Chutchamas Kanchana-udomkan
- Environmental Futures Research Institute, School of Environment and Sciences, Griffith University, 170 Kessels Road Nathan, Nathan, QLD 4111 Australia
| | - Ido Bar
- Environmental Futures Research Institute, School of Environment and Sciences, Griffith University, 170 Kessels Road Nathan, Nathan, QLD 4111 Australia
| | - Rebecca Ford
- Environmental Futures Research Institute, School of Environment and Sciences, Griffith University, 170 Kessels Road Nathan, Nathan, QLD 4111 Australia
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Baison J, Vidalis A, Zhou L, Chen Z, Li Z, Sillanpää MJ, Bernhardsson C, Scofield D, Forsberg N, Grahn T, Olsson L, Karlsson B, Wu H, Ingvarsson PK, Lundqvist S, Niittylä T, García‐Gil MR. Genome-wide association study identified novel candidate loci affecting wood formation in Norway spruce. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2019; 100:83-100. [PMID: 31166032 PMCID: PMC6852177 DOI: 10.1111/tpj.14429] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 04/16/2019] [Accepted: 05/20/2019] [Indexed: 05/26/2023]
Abstract
Norway spruce is a boreal forest tree species of significant ecological and economic importance. Hence there is a strong imperative to dissect the genetics underlying important wood quality traits in the species. We performed a functional genome-wide association study (GWAS) of 17 wood traits in Norway spruce using 178 101 single nucleotide polymorphisms (SNPs) generated from exome genotyping of 517 mother trees. The wood traits were defined using functional modelling of wood properties across annual growth rings. We applied a Least Absolute Shrinkage and Selection Operator (LASSO-based) association mapping method using a functional multilocus mapping approach that utilizes latent traits, with a stability selection probability method as the hypothesis testing approach to determine a significant quantitative trait locus. The analysis provided 52 significant SNPs from 39 candidate genes, including genes previously implicated in wood formation and tree growth in spruce and other species. Our study represents a multilocus GWAS for complex wood traits in Norway spruce. The results advance our understanding of the genetics influencing wood traits and identifies candidate genes for future functional studies.
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Affiliation(s)
- John Baison
- Department of Forest Genetics and Plant PhysiologyUmeå Plant Science CentreSwedish University of Agricultural ScienceParallellvägen 21Umeå907 36Sweden
| | - Amaryllis Vidalis
- Section of Population Epigenetics and EpigenomicsCentre of Life and Food Sciences WeihenstephanTechnische Universität MünchenLichtenbergstr. 2aMünchen85748Germany
| | - Linghua Zhou
- Department of Forest Genetics and Plant PhysiologyUmeå Plant Science CentreSwedish University of Agricultural ScienceParallellvägen 21Umeå907 36Sweden
| | - Zhi‐Qiang Chen
- Department of Forest Genetics and Plant PhysiologyUmeå Plant Science CentreSwedish University of Agricultural ScienceParallellvägen 21Umeå907 36Sweden
| | - Zitong Li
- Ecological Genetics Research UnitDepartment of BiosciencesUniversity of HelsinkiP.O. Box 65FI‐00014HelsinkiFinland
| | - Mikko J. Sillanpää
- Department of Mathematical SciencesBiocenter OuluUniversity of OuluPentti Kaiteran katu 1OuluFinland
| | - Carolina Bernhardsson
- Department of Forest Genetics and Plant PhysiologyUmeå Plant Science CentreSwedish University of Agricultural ScienceParallellvägen 21Umeå907 36Sweden
- Department of Ecology and Environmental ScienceUmeå UniversityLinnaeus väg 4-6Umeå907 36Sweden
| | - Douglas Scofield
- Uppsala Multidisciplinary Centre for Advanced Computational ScienceUppsala UniversityLägerhyddsvägen 2Uppsala752 37Sweden
| | - Nils Forsberg
- Department of Forest Genetics and Plant PhysiologyUmeå Plant Science CentreSwedish University of Agricultural ScienceParallellvägen 21Umeå907 36Sweden
| | - Thomas Grahn
- RISE BioeconomyDrottning Kristinas väg 61SE‐114 86StockholmSweden
| | - Lars Olsson
- RISE BioeconomyDrottning Kristinas väg 61SE‐114 86StockholmSweden
| | | | - Harry Wu
- Department of Forest Genetics and Plant PhysiologyUmeå Plant Science CentreSwedish University of Agricultural ScienceParallellvägen 21Umeå907 36Sweden
| | - Pär K. Ingvarsson
- Department of Ecology and Environmental ScienceUmeå UniversityLinnaeus väg 4-6Umeå907 36Sweden
- Department of Ecology and Genetics: Evolutionary BiologyUppsala UniversityKåbovägen 4Uppsala752 36Sweden
| | - Sven‐Olof Lundqvist
- RISE BioeconomyDrottning Kristinas väg 61SE‐114 86StockholmSweden
- IICRosenlundsgatan 48BSE‐118 63StockholmSweden
| | - Totte Niittylä
- Department of Forest Genetics and Plant PhysiologyUmeå Plant Science CentreSwedish University of Agricultural ScienceParallellvägen 21Umeå907 36Sweden
| | - M Rosario García‐Gil
- Department of Forest Genetics and Plant PhysiologyUmeå Plant Science CentreSwedish University of Agricultural ScienceParallellvägen 21Umeå907 36Sweden
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Hallingbäck HR, Berlin S, Nordh NE, Weih M, Rönnberg-Wästljung AC. Genome Wide Associations of Growth, Phenology, and Plasticity Traits in Willow [ Salix viminalis (L.)]. FRONTIERS IN PLANT SCIENCE 2019; 10:753. [PMID: 31249579 PMCID: PMC6582754 DOI: 10.3389/fpls.2019.00753] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Accepted: 05/23/2019] [Indexed: 05/10/2023]
Abstract
The short rotation biomass crop willow (Salix genera) has been of interest for bioenergy but recently also for biofuel production. For a faster development of new varieties molecular markers could be used as selection tool in an early stage of the breeding cycle. To identify markers associated with growth traits, genome-wide association mapping was conducted using a population of 291 Salix viminalis accessions collected across Europe and Russia and a large set of genotyping-by-sequencing markers. The accessions were vegetatively propagated and planted in replicated field experiments, one in Southern Sweden and one in Central Sweden. Phenology data, including bud burst and leaf senescence, as well as different growth traits were collected and measured repeatedly between 2010 and 2017 at both field environments. A value of the plasticity for each accession was calculated for all traits that were measured the same year in both environments as the normalized accession value in one environment subtracted by the corresponding value in the other environment. Broad-sense accession heritabilities and narrow-sense chip heritabilities ranged from 0.68 to 0.95 and 0.45 to 0.99, respectively for phenology traits and from 0.56 to 0.85 and 0.24 to 0.97 for growth traits indicating a considerable genetic component for most traits. Population structure and kinship between accessions were taken into account in the association analyses. In total, 39 marker-trait associations were found where four were specifically connected to plasticity and interestingly one particular marker was associated to several different plasticity growth traits. Otherwise association consistency was poor, possibly due to accession by environment interactions which were demonstrated by the low structure adjusted accession correlations across environments (ranging from 0.40 to 0.58). However, one marker association with biomass fresh weight was repeatedly observed in the same environment over two harvest years. For some traits where several associations were found, the markers jointly explained over 20% of the accession variation. The result from this study using a population of unrelated accessions has given useful information about marker-trait associations especially highlighting marker-plasticity associations and genotype-by-environment interactions as important factors to take account of in future strategies of Salix breeding.
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Affiliation(s)
- Henrik R. Hallingbäck
- Department of Plant Biology, Uppsala BioCenter, Linnean Centre for Plant Biology, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Sofia Berlin
- Department of Plant Biology, Uppsala BioCenter, Linnean Centre for Plant Biology, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Nils-Erik Nordh
- Department of Crop Production Ecology, Linnean Centre for Plant Biology, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Martin Weih
- Department of Crop Production Ecology, Linnean Centre for Plant Biology, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Ann-Christin Rönnberg-Wästljung
- Department of Plant Biology, Uppsala BioCenter, Linnean Centre for Plant Biology, Swedish University of Agricultural Sciences, Uppsala, Sweden
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Otyama PI, Wilkey A, Kulkarni R, Assefa T, Chu Y, Clevenger J, O'Connor DJ, Wright GC, Dezern SW, MacDonald GE, Anglin NL, Cannon EKS, Ozias-Akins P, Cannon SB. Evaluation of linkage disequilibrium, population structure, and genetic diversity in the U.S. peanut mini core collection. BMC Genomics 2019; 20:481. [PMID: 31185892 PMCID: PMC6558826 DOI: 10.1186/s12864-019-5824-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Accepted: 05/21/2019] [Indexed: 12/03/2022] Open
Abstract
Background Due to the recent domestication of peanut from a single tetraploidization event, relatively little genetic diversity underlies the extensive morphological and agronomic diversity in peanut cultivars today. To broaden the genetic variation in future breeding programs, it is necessary to characterize germplasm accessions for new sources of variation and to leverage the power of genome-wide association studies (GWAS) to discover markers associated with traits of interest. We report an analysis of linkage disequilibrium (LD), population structure, and genetic diversity, and examine the ability of GWA to infer marker-trait associations in the U.S. peanut mini core collection genotyped with a 58 K SNP array. Results LD persists over long distances in the collection, decaying to r2 = half decay distance at 3.78 Mb. Structure within the collection is best explained when separated into four or five groups (K = 4 and K = 5). At K = 4 and 5, accessions loosely clustered according to market type and subspecies, though with numerous exceptions. Out of 107 accessions, 43 clustered in correspondence to the main market type subgroup whereas 34 did not. The remaining 30 accessions had either missing taxonomic classification or were classified as mixed. Phylogenetic network analysis also clustered accessions into approximately five groups based on their genotypes, with loose correspondence to subspecies and market type. Genome wide association analysis was performed on these lines for 12 seed composition and quality traits. Significant marker associations were identified for arachidic and behenic fatty acid compositions, which despite having low bioavailability in peanut, have been reported to raise cholesterol levels in humans. Other traits such as blanchability showed consistent associations in multiple tests, with plausible candidate genes. Conclusions Based on GWA, population structure as well as additional simulation results, we find that the primary limitations of this collection for GWAS are a small collection size, significant remaining structure/genetic similarity and long LD blocks that limit the resolution of association mapping. These results can be used to improve GWAS in peanut in future studies – for example, by increasing the size and reducing structure in the collections used for GWAS. Electronic supplementary material The online version of this article (10.1186/s12864-019-5824-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Paul I Otyama
- Agronomy Department, Iowa State University, Ames, IA, USA
| | - Andrew Wilkey
- ORISE Fellow, Corn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, USA
| | - Roshan Kulkarni
- Agronomy Department, Iowa State University, Ames, IA, USA.,ORISE Fellow, Corn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, USA
| | - Teshale Assefa
- Agronomy Department, Iowa State University, Ames, IA, USA.,ORISE Fellow, Corn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, USA
| | - Ye Chu
- Institute of Plant Breeding, Genetics, and Genomics, University of Georgia, Tifton, GA, USA
| | - Josh Clevenger
- Mars-Wrigley Confectionery, Center for Applied Genetic Technologies, Athens, GA, USA
| | | | | | | | | | | | | | - Peggy Ozias-Akins
- Institute of Plant Breeding, Genetics, and Genomics, University of Georgia, Tifton, GA, USA
| | - Steven B Cannon
- Corn Insects and Crop Genetics Research Unit, USDA - Agricultural Research Service, 1017 Crop Genome Lab 819 Wallace Rd, Ames, IA, 50011-4014, USA.
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Omrani M, Roth M, Roch G, Blanc A, Morris CE, Audergon JM. Genome-wide association multi-locus and multi-variate linear mixed models reveal two linked loci with major effects on partial resistance of apricot to bacterial canker. BMC PLANT BIOLOGY 2019; 19:31. [PMID: 30665361 PMCID: PMC6341767 DOI: 10.1186/s12870-019-1631-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Accepted: 01/04/2019] [Indexed: 05/10/2023]
Abstract
BACKGROUND Diseases caused by Pseudomonas syringae (Ps) are recognized as the most damaging factors in fruit trees with a significant economic and sanitary impact on crops. Among them, bacterial canker of apricot is exceedingly difficult to control due to a lack of efficient prophylactic measures. Several sources of partial resistance have been identified among genetic resources but the underlying genetic pattern has not been elucidated thus far. In this study, we phenotyped bacterial canker susceptibility in an apricot core-collection of 73 accessions over 4 years by measuring canker and superficial browning lengths issued from artificial inoculations in the orchard. In order to investigate the genetic architecture of partial resistance, we performed a genome-wide association study using best linear unbiased predictors on genetic (G) and genetic x year (G × Y) interaction effects extracted from linear mixed models. Using a set of 63,236 single-nucleotide polymorphism markers genotyped in the germplasm over the whole genome, multi-locus and multi-variate mixed models aimed at mapping the resistance while controlling for relatedness between individuals. RESULTS We detected 11 significant associations over 7 candidate loci linked to disease resistance under the two most severe years. Colocalizations between G and G × Y terms indicated a modulation on allelic effect depending on environmental conditions. Among the candidate loci, two loci on chromosomes 5 and 6 had a high impact on both canker length and superficial browning, explaining 41 and 26% of the total phenotypic variance, respectively. We found unexpected long-range linkage disequilibrium (LD) between these two markers revealing an inter-chromosomal LD block linking the two underlying genes. This result supports the hypothesis of a co-adaptation effect due to selection through population demography. Candidate genes annotations suggest a functional pathway involving abscisic acid, a hormone mainly known for mediating abiotic stress responses but also reported as a potential factor in plant-pathogen interactions. CONCLUSIONS Our study contributed to the first detailed characterization of the genetic determinants of partial resistance to bacterial canker in a Rosaceae species. It provided tools for fruit tree breeding by identifying progenitors with favorable haplotypes and by providing major-effect markers for a marker-assisted selection strategy.
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Affiliation(s)
- Mariem Omrani
- INRA, UR1052 Génétique et Amélioration des Fruits et Légumes, Centre de Recherche PACA, Montfavet, France
- INRA, UR407 Pathologie Végétale, Centre de Recherche PACA, Montfavet, France
- ENGREF, AgroParisTech, Paris, France
| | - Morgane Roth
- INRA, UR1052 Génétique et Amélioration des Fruits et Légumes, Centre de Recherche PACA, Montfavet, France
- Present Address: Agroscope, Research Division Plant Breeding, Wädenswil, Switzerland
| | - Guillaume Roch
- INRA, UR1052 Génétique et Amélioration des Fruits et Légumes, Centre de Recherche PACA, Montfavet, France
- CEP Innovation, Lyon, France
| | - Alain Blanc
- INRA, UR1052 Génétique et Amélioration des Fruits et Légumes, Centre de Recherche PACA, Montfavet, France
| | - Cindy E. Morris
- INRA, UR407 Pathologie Végétale, Centre de Recherche PACA, Montfavet, France
| | - Jean-Marc Audergon
- INRA, UR1052 Génétique et Amélioration des Fruits et Légumes, Centre de Recherche PACA, Montfavet, France
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Müller BSF, de Almeida Filho JE, Lima BM, Garcia CC, Missiaggia A, Aguiar AM, Takahashi E, Kirst M, Gezan SA, Silva-Junior OB, Neves LG, Grattapaglia D. Independent and Joint-GWAS for growth traits in Eucalyptus by assembling genome-wide data for 3373 individuals across four breeding populations. THE NEW PHYTOLOGIST 2019; 221:818-833. [PMID: 30252143 DOI: 10.1111/nph.15449] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Accepted: 08/13/2018] [Indexed: 05/18/2023]
Abstract
Genome-wide association studies (GWAS) in plants typically suffer from limited statistical power. An alternative to the logistical and cost challenge of increasing sample sizes is to gain power by meta-analysis using information from independent studies. We carried out GWAS for growth traits with six single-marker models and regional heritability mapping (RHM) in four Eucalyptus breeding populations independently and by Joint-GWAS, using gene and segment-based models, with data for 3373 individuals genotyped with a communal EUChip60KSNP platform. While single-single nucleotide polymorphism (SNP) GWAS hardly detected significant associations at high-stringency in each population, gene-based Joint-GWAS revealed nine genes significantly associated with tree height. Associations detected using single-SNP GWAS, RHM and Joint-GWAS set-based models explained on average 3-20% of the phenotypic variance. Whole-genome regression, conversely, captured 64-89% of the pedigree-based heritability in all populations. Several associations independently detected for the same SNPs in different populations provided unprecedented GWAS validation results in forest trees. Rare and common associations were discovered in eight genes involved in cell wall biosynthesis and lignification. With the increasing adoption of genomic prediction of complex phenotypes using shared SNPs and much larger tree breeding populations, Joint-GWAS approaches should provide increasing power to pinpoint discrete associations potentially useful toward tree breeding and molecular applications.
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Affiliation(s)
- Bárbara S F Müller
- Molecular Biology Program, Cell Biology Department, Biological Sciences Institute, University of Brasília, Campus Darcy Ribeiro, Brasília, DF, 70910-900, Brazil
- EMBRAPA Genetic Resources and Biotechnology - EPqB, Brasília, DF, 70770-910, Brazil
| | - Janeo E de Almeida Filho
- Plant Breeding Laboratory, State University of North Fluminense "Darcy Ribeiro", Campos dos Goytacazes, RJ, 28013-602, Brazil
| | - Bruno M Lima
- FIBRIA S.A. Technology Center, Jacareí, SP, 12340-010, Brazil
| | - Carla C Garcia
- International Paper of Brazil, Rodovia SP 340 KM 171, Mogi Guaçu, SP, 13840-970, Brazil
| | | | | | - Elizabete Takahashi
- Celulose Nipo-Brasileira (CENIBRA) S.A., Belo Oriente, MG, 35196-000, Brazil
| | - Matias Kirst
- School of Forest Resources and Conservation, University of Florida, Gainesville, FL, 32611, USA
| | - Salvador A Gezan
- School of Forest Resources and Conservation, University of Florida, Gainesville, FL, 32611, USA
| | - Orzenil B Silva-Junior
- EMBRAPA Genetic Resources and Biotechnology - EPqB, Brasília, DF, 70770-910, Brazil
- Genomic Sciences and Biotechnology Program, SGAN, Catholic University of Brasília, 916 modulo B, Brasília, DF, 70790-160, Brazil
| | | | - Dario Grattapaglia
- Molecular Biology Program, Cell Biology Department, Biological Sciences Institute, University of Brasília, Campus Darcy Ribeiro, Brasília, DF, 70910-900, Brazil
- EMBRAPA Genetic Resources and Biotechnology - EPqB, Brasília, DF, 70770-910, Brazil
- Genomic Sciences and Biotechnology Program, SGAN, Catholic University of Brasília, 916 modulo B, Brasília, DF, 70790-160, Brazil
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Molecular characterization of a diverse Iranian table grapevine germplasm using REMAP markers: population structure, linkage disequilibrium and association mapping of berry yield and quality traits. Biologia (Bratisl) 2018. [DOI: 10.2478/s11756-018-0158-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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D'Agostino N, Taranto F, Camposeo S, Mangini G, Fanelli V, Gadaleta S, Miazzi MM, Pavan S, di Rienzo V, Sabetta W, Lombardo L, Zelasco S, Perri E, Lotti C, Ciani E, Montemurro C. GBS-derived SNP catalogue unveiled wide genetic variability and geographical relationships of Italian olive cultivars. Sci Rep 2018; 8:15877. [PMID: 30367101 PMCID: PMC6203791 DOI: 10.1038/s41598-018-34207-y] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2017] [Accepted: 10/12/2018] [Indexed: 11/08/2022] Open
Abstract
Information on the distribution of genetic variation is essential to preserve olive germplasm from erosion and to recover alleles lost through selective breeding. In addition, knowledge on population structure and genotype-phenotype associations is crucial to support modern olive breeding programs that must respond to new environmental conditions imposed by climate change and novel biotic/abiotic stressors. To further our understanding of genetic variation in the olive, we performed genotype-by-sequencing on a panel of 94 Italian olive cultivars. A reference-based and a reference-independent SNP calling pipeline generated 22,088 and 8,088 high-quality SNPs, respectively. Both datasets were used to model population structure via parametric and non parametric clustering. Although the two pipelines yielded a 3-fold difference in the number of SNPs, both described wide genetic variability among our study panel and allowed individuals to be grouped based on fruit weight and the geographical area of cultivation. Multidimensional scaling analysis on identity-by-state allele-sharing values as well as inference of population mixtures from genome-wide allele frequency data corroborated the clustering pattern we observed. These findings allowed us to formulate hypotheses about geographical relationships of Italian olive cultivars and to confirm known and uncover novel cases of synonymy.
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Affiliation(s)
- Nunzio D'Agostino
- CREA Research Centre for Vegetable and Ornamental Crops, Pontecagnano Faiano, Italy.
| | - Francesca Taranto
- SINAGRI S.r.l. - Spin Off of the University of Bari "Aldo Moro", Bari, Italy.
| | - Salvatore Camposeo
- Department of Agricultural and Environmental sciences, University of Bari "Aldo Moro", Bari, Italy
| | - Giacomo Mangini
- Department of Soil, Plant and Food Sciences, University of Bari "Aldo Moro", Bari, Italy
| | - Valentina Fanelli
- SINAGRI S.r.l. - Spin Off of the University of Bari "Aldo Moro", Bari, Italy
| | - Susanna Gadaleta
- SINAGRI S.r.l. - Spin Off of the University of Bari "Aldo Moro", Bari, Italy
| | - Monica Marilena Miazzi
- Department of Soil, Plant and Food Sciences, University of Bari "Aldo Moro", Bari, Italy
| | - Stefano Pavan
- Department of Soil, Plant and Food Sciences, University of Bari "Aldo Moro", Bari, Italy
| | - Valentina di Rienzo
- SINAGRI S.r.l. - Spin Off of the University of Bari "Aldo Moro", Bari, Italy
| | - Wilma Sabetta
- SINAGRI S.r.l. - Spin Off of the University of Bari "Aldo Moro", Bari, Italy
| | - Luca Lombardo
- Center for Agriculture, Food ad Environment (C3A), University of Trento, San Michele all'Adige, Italy
| | - Samanta Zelasco
- CREA Research Centre for Olive, Citrus and Tree Fruit, Rende, Italy
| | - Enzo Perri
- CREA Research Centre for Olive, Citrus and Tree Fruit, Rende, Italy
| | - Concetta Lotti
- Department of the Sciences of Agriculture, Food and Environment, University of Foggia, Foggia, Italy
| | - Elena Ciani
- Department of Biosciences, Biotechnologies and Biopharmaceutics, University of Bari "Aldo Moro", Bari, Italy
| | - Cinzia Montemurro
- SINAGRI S.r.l. - Spin Off of the University of Bari "Aldo Moro", Bari, Italy
- Department of Soil, Plant and Food Sciences, University of Bari "Aldo Moro", Bari, Italy
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Minamikawa MF, Takada N, Terakami S, Saito T, Onogi A, Kajiya-Kanegae H, Hayashi T, Yamamoto T, Iwata H. Genome-wide association study and genomic prediction using parental and breeding populations of Japanese pear (Pyrus pyrifolia Nakai). Sci Rep 2018; 8:11994. [PMID: 30097588 PMCID: PMC6086889 DOI: 10.1038/s41598-018-30154-w] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Accepted: 07/25/2018] [Indexed: 12/13/2022] Open
Abstract
Breeding of fruit trees is hindered by their large size and long juvenile period. Genome-wide association study (GWAS) and genomic selection (GS) are promising methods for circumventing this hindrance, but preparing new large datasets for these methods may not always be practical. Here, we evaluated the potential of breeding populations evaluated routinely in breeding programs for GWAS and GS. We used a pear parental population of 86 varieties and breeding populations of 765 trees from 16 full-sib families, which were phenotyped for 18 traits and genotyped for 1,506 single nucleotide polymorphisms (SNPs). The power of GWAS and accuracy of genomic prediction were improved when we combined data from the breeding populations and the parental population. The accuracy of genomic prediction was improved further when full-sib data of the target family were available. The results suggest that phenotype data collected in breeding programs can be beneficial for GWAS and GS when they are combined with genome-wide marker data. The potential of GWAS and GS will be further extended if we can build a system for routine collection of the phenotype and marker genotype data for breeding populations.
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Affiliation(s)
- Mai F Minamikawa
- Laboratory of Biometry and Bioinformatics, Department of Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo, Tokyo, 113-8657, Japan
| | - Norio Takada
- Institute of Fruit Tree and Tea Science, National Agriculture and Food Research Organization (NARO), 2-1 Fujimoto, Tsukuba, Ibaraki, 305-8605, Japan
| | - Shingo Terakami
- Institute of Fruit Tree and Tea Science, National Agriculture and Food Research Organization (NARO), 2-1 Fujimoto, Tsukuba, Ibaraki, 305-8605, Japan
| | - Toshihiro Saito
- Institute of Fruit Tree and Tea Science, National Agriculture and Food Research Organization (NARO), 2-1 Fujimoto, Tsukuba, Ibaraki, 305-8605, Japan
| | - Akio Onogi
- Laboratory of Biometry and Bioinformatics, Department of Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo, Tokyo, 113-8657, Japan
| | - Hiromi Kajiya-Kanegae
- Laboratory of Biometry and Bioinformatics, Department of Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo, Tokyo, 113-8657, Japan
| | - Takeshi Hayashi
- Institute of Crop Science, NARO, 2-1-2 Kannondai, Tsukuba, Ibaraki, 305-8518, Japan
| | - Toshiya Yamamoto
- Institute of Fruit Tree and Tea Science, National Agriculture and Food Research Organization (NARO), 2-1 Fujimoto, Tsukuba, Ibaraki, 305-8605, Japan
| | - Hiroyoshi Iwata
- Laboratory of Biometry and Bioinformatics, Department of Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo, Tokyo, 113-8657, Japan.
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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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Chanroj V, Rattanawong R, Phumichai T, Tangphatsornruang S, Ukoskit K. Genome-wide association mapping of latex yield and girth in Amazonian accessions of Hevea brasiliensis grown in a suboptimal climate zone. Genomics 2017; 109:475-484. [PMID: 28751185 DOI: 10.1016/j.ygeno.2017.07.005] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2017] [Revised: 07/07/2017] [Accepted: 07/21/2017] [Indexed: 12/29/2022]
Abstract
Latex yield and growth are the key complex traits in commercial rubber production. The present study is the first to report genome-wide association mapping of latex yield and girth, for 170 Amazonian accessions grown in a suboptimal area characterized by limited rainfall and a lengthy dry season. Targeted sequence enrichment to capture gene transcripts generated 14,155 high quality filtered single nucleotide polymorphisms (SNPs) of which 94.3% resided in coding regions. The rapid decay of linkage disequilibrium over physical and genetic distance found in the accessions was comparable to those previously reported for several outcrossing species. A mixed linear model detected three significant SNPs in three candidate genes involved in plant adaptation to drought stress, individually explaining 12.7-15.7% of the phenotypic variance. The SNPs identified in the study will help to extend understanding, and to support genetic improvement of rubber trees grown in drought-affected regions.
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Affiliation(s)
- Vipavee Chanroj
- Department of Biotechnology, Faculty of Science and Technology, Thammasat University, Rangsit Campus, Klong Luang, Pathumtani 12121, Thailand
| | - Ratchanee Rattanawong
- Nong Khai Rubber Research Center, Rubber Research Institute of Thailand, Rattanawapi District, Nong Khai, 43120, Thailand
| | | | - Sithichoke Tangphatsornruang
- National Center for Genetic Engineering and Biotechnology, 113 Phaholyothin Rd., Klong 1, Klong Luang, Pathumthani 12120, Thailand
| | - Kittipat Ukoskit
- Department of Biotechnology, Faculty of Science and Technology, Thammasat University, Rangsit Campus, Klong Luang, Pathumtani 12121, Thailand.
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Ćalić I, Koch J, Carey D, Addo-Quaye C, Carlson JE, Neale DB. Genome-wide association study identifies a major gene for beech bark disease resistance in American beech (Fagus grandifolia Ehrh.). BMC Genomics 2017; 18:547. [PMID: 28728575 PMCID: PMC5520234 DOI: 10.1186/s12864-017-3931-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2017] [Accepted: 07/07/2017] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND The American Beech tree (Fagus grandifolia Ehrh.), native to eastern North America, is ecologically important and provides high quality wood products. This species is susceptible to beech bark disease (BBD) and is facing high rates of mortality in North America. The disease occurs from an interaction between the woolly beech scale insect (Cryptococcus fagisuga), one of two species of the fungus Neonectria (N. faginata or N. ditissima), and American Beech trees. METHODS In this case-control genome-wide association study (GWAS), we tested 16 K high quality SNPs using the Affymetrix Axiom 1.5 K - 50 K assay to genotype an association population of 514 individuals. We also conducted linkage analysis in a full-sib family of 115 individuals. Fisher's exact test and logistic regression tests were performed to test associations between SNPs and phenotypes. RESULTS Association tests revealed four highly significant SNPs on chromosome (Chr) 5 for a single gene (Mt), which encodes a mRNA for metallothionein-like protein (metal ion binding) in Fagus sylvatica. Metallothioneins represent Cys-rich metal chelators able to coordinate metal atoms and may play an important role in the resistance mechanisms against beech scale insect. CONCLUSION The GWAS study has identified a single locus of major effect contributing to beech bark disease resistance. Knowledge of this genetic locus contributing to resistance might be used in applied breeding, conservation and restoration programs.
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Affiliation(s)
- Irina Ćalić
- Department of Plant Sciences, University of California, Davis, CA 95616 USA
| | - Jennifer Koch
- USDA Forest Service, Northern Research Station, Forestry Sciences Laboratory, Delaware, OH 43015 USA
| | - David Carey
- USDA Forest Service, Northern Research Station, Forestry Sciences Laboratory, Delaware, OH 43015 USA
| | - Charles Addo-Quaye
- Department of Horticulture and Landscape Architecture, Purdue University, West Lafayette, Indiana, 47907 USA
- Present address: Division of Natural Sciences and Mathematics, Lewis-Clark State College, 500 8th Avenue, Lewiston, ID 83501 USA
| | - John E. Carlson
- Schatz Center for Tree Molecular Genetics, Department of Ecosystem Science and Management, Pennsylvania State University, University Park, PA 16802 USA
| | - David B. Neale
- Department of Plant Sciences, University of California, Davis, CA 95616 USA
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Minamikawa MF, Nonaka K, Kaminuma E, Kajiya-Kanegae H, Onogi A, Goto S, Yoshioka T, Imai A, Hamada H, Hayashi T, Matsumoto S, Katayose Y, Toyoda A, Fujiyama A, Nakamura Y, Shimizu T, Iwata H. Genome-wide association study and genomic prediction in citrus: Potential of genomics-assisted breeding for fruit quality traits. Sci Rep 2017; 7:4721. [PMID: 28680114 PMCID: PMC5498537 DOI: 10.1038/s41598-017-05100-x] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2017] [Accepted: 05/24/2017] [Indexed: 01/08/2023] Open
Abstract
Novel genomics-based approaches such as genome-wide association studies (GWAS) and genomic selection (GS) are expected to be useful in fruit tree breeding, which requires much time from the cross to the release of a cultivar because of the long generation time. In this study, a citrus parental population (111 varieties) and a breeding population (676 individuals from 35 full-sib families) were genotyped for 1,841 single nucleotide polymorphisms (SNPs) and phenotyped for 17 fruit quality traits. GWAS power and prediction accuracy were increased by combining the parental and breeding populations. A multi-kernel model considering both additive and dominance effects improved prediction accuracy for acidity and juiciness, implying that the effects of both types are important for these traits. Genomic best linear unbiased prediction (GBLUP) with linear ridge kernel regression (RR) was more robust and accurate than GBLUP with non-linear Gaussian kernel regression (GAUSS) in the tails of the phenotypic distribution. The results of this study suggest that both GWAS and GS are effective for genetic improvement of citrus fruit traits. Furthermore, the data collected from breeding populations are beneficial for increasing the detection power of GWAS and the prediction accuracy of GS.
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Affiliation(s)
- Mai F Minamikawa
- Laboratory of Biometry and Bioinformatics, Department of Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo, Tokyo, 113-8657, Japan
| | - Keisuke Nonaka
- Institute of Fruit Tree and Tea Science, National Agriculture and Food Research Organization (NARO), 485-6 Okitsu Nakacho, Shimizu, Shizuoka, 424-0292, Japan
| | - Eli Kaminuma
- Genome Informatics Laboratory, National Institute of Genetics, Research Organization of Information and Systems, 1111 Yata, Mishima, Shizuoka, 411-8540, Japan
| | - Hiromi Kajiya-Kanegae
- Laboratory of Biometry and Bioinformatics, Department of Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo, Tokyo, 113-8657, Japan
| | - Akio Onogi
- Laboratory of Biometry and Bioinformatics, Department of Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo, Tokyo, 113-8657, Japan
| | - Shingo Goto
- Institute of Fruit Tree and Tea Science, National Agriculture and Food Research Organization (NARO), 485-6 Okitsu Nakacho, Shimizu, Shizuoka, 424-0292, Japan
| | - Terutaka Yoshioka
- Institute of Fruit Tree and Tea Science, National Agriculture and Food Research Organization (NARO), 485-6 Okitsu Nakacho, Shimizu, Shizuoka, 424-0292, Japan
| | - Atsushi Imai
- Institute of Fruit Tree and Tea Science, NARO, 2-1 Fujimoto, Tsukuba, Ibaraki, 305-8605, Japan
| | - Hiroko Hamada
- Institute of Fruit Tree and Tea Science, National Agriculture and Food Research Organization (NARO), 485-6 Okitsu Nakacho, Shimizu, Shizuoka, 424-0292, Japan
| | - Takeshi Hayashi
- Institute of Crop Science, NARO, 2-1-2 Kannondai, Tsukuba, Ibaraki, 305-8518, Japan
| | - Satomi Matsumoto
- Institute of Crop Science, NARO, 1-2 Ohwashi, Tsukuba, Ibaraki, 305-8634, Japan
| | - Yuichi Katayose
- Institute of Crop Science, NARO, 1-2 Ohwashi, Tsukuba, Ibaraki, 305-8634, Japan
| | - Atsushi Toyoda
- Comparative Genomics Laboratory, National Institute of Genetics, Research Organization of Information and Systems, 1111 Yata, Mishima, Shizuoka, 411-8540, Japan
- Advanced Genomics Center, National Institute of Genetics, Research Organization of Information and Systems, 1111 Yata, Mishima, Shizuoka, 411-8540, Japan
| | - Asao Fujiyama
- Advanced Genomics Center, National Institute of Genetics, Research Organization of Information and Systems, 1111 Yata, Mishima, Shizuoka, 411-8540, Japan
| | - Yasukazu Nakamura
- Genome Informatics Laboratory, National Institute of Genetics, Research Organization of Information and Systems, 1111 Yata, Mishima, Shizuoka, 411-8540, Japan
| | - Tokurou Shimizu
- Institute of Fruit Tree and Tea Science, National Agriculture and Food Research Organization (NARO), 485-6 Okitsu Nakacho, Shimizu, Shizuoka, 424-0292, Japan
| | - Hiroyoshi Iwata
- Laboratory of Biometry and Bioinformatics, Department of Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo, Tokyo, 113-8657, Japan.
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Migicovsky Z, Myles S. Exploiting Wild Relatives for Genomics-assisted Breeding of Perennial Crops. FRONTIERS IN PLANT SCIENCE 2017; 8:460. [PMID: 28421095 PMCID: PMC5379136 DOI: 10.3389/fpls.2017.00460] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2017] [Accepted: 03/16/2017] [Indexed: 05/18/2023]
Abstract
Perennial crops are vital contributors to global food production and nutrition. However, the breeding of new perennial crops is an expensive and time-consuming process due to the large size and lengthy juvenile phase of many species. Genomics provides a valuable tool for improving the efficiency of breeding by allowing progeny possessing a trait of interest to be selected at the seed or seedling stage through marker-assisted selection (MAS). The benefits of MAS to a breeder are greatest when the targeted species takes a long time to reach maturity and is expensive to grow and maintain. Thus, MAS holds particular promise in perennials since they are often costly and time-consuming to grow to maturity and evaluate. Well-characterized germplasm that breeders can tap into for improving perennials is often limited in genetic diversity. Wild relatives are a largely untapped source of desirable traits including disease resistance, fruit quality, and rootstock characteristics. This review focuses on the use of genomics-assisted breeding in perennials, especially as it relates to the introgression of useful traits from wild relatives. The identification of genetic markers predictive of beneficial phenotypes derived from wild relatives is hampered by genomic tools designed for domesticated species that are often ill-suited for use in wild relatives. There is therefore an urgent need for better genomic resources from wild relatives. A further barrier to exploiting wild diversity through genomics is the phenotyping bottleneck: well-powered genetic mapping requires accurate and cost-effective characterization of large collections of diverse wild germplasm. While genomics will always be used in combination with traditional breeding methods, it is a powerful tool for accelerating the speed and reducing the costs of breeding while harvesting the potential of wild relatives for improving perennial crops.
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Affiliation(s)
- Zoë Migicovsky
- Department of Plant, Food and Environmental Sciences, Faculty of Agriculture, Dalhousie University,Truro, NS, Canada
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Amyotte B, Bowen AJ, Banks T, Rajcan I, Somers DJ. Mapping the sensory perception of apple using descriptive sensory evaluation in a genome wide association study. PLoS One 2017; 12:e0171710. [PMID: 28231290 PMCID: PMC5322975 DOI: 10.1371/journal.pone.0171710] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2016] [Accepted: 01/12/2017] [Indexed: 01/27/2023] Open
Abstract
Breeding apples is a long-term endeavour and it is imperative that new cultivars are selected to have outstanding consumer appeal. This study has taken the approach of merging sensory science with genome wide association analyses in order to map the human perception of apple flavour and texture onto the apple genome. The goal was to identify genomic associations that could be used in breeding apples for improved fruit quality. A collection of 85 apple cultivars was examined over two years through descriptive sensory evaluation by a trained sensory panel. The trained sensory panel scored randomized sliced samples of each apple cultivar for seventeen taste, flavour and texture attributes using controlled sensory evaluation practices. In addition, the apple collection was subjected to genotyping by sequencing for marker discovery. A genome wide association analysis suggested significant genomic associations for several sensory traits including juiciness, crispness, mealiness and fresh green apple flavour. The findings include previously unreported genomic regions that could be used in apple breeding and suggest that similar sensory association mapping methods could be applied in other plants.
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Affiliation(s)
- Beatrice Amyotte
- Vineland Research and Innovation Centre, Victoria Avenue North, Vineland Station, ON, Canada
| | - Amy J. Bowen
- Vineland Research and Innovation Centre, Victoria Avenue North, Vineland Station, ON, Canada
| | - Travis Banks
- Vineland Research and Innovation Centre, Victoria Avenue North, Vineland Station, ON, Canada
| | - Istvan Rajcan
- University of Guelph, Department of Plant Agriculture, Guelph, ON, Canada
| | - Daryl J. Somers
- Vineland Research and Innovation Centre, Victoria Avenue North, Vineland Station, ON, Canada
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Cuenca J, Aleza P, Garcia-Lor A, Ollitrault P, Navarro L. Fine Mapping for Identification of Citrus Alternaria Brown Spot Candidate Resistance Genes and Development of New SNP Markers for Marker-Assisted Selection. FRONTIERS IN PLANT SCIENCE 2016; 7:1948. [PMID: 28066498 PMCID: PMC5179576 DOI: 10.3389/fpls.2016.01948] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Accepted: 12/07/2016] [Indexed: 05/20/2023]
Abstract
Alternaria brown spot (ABS) is a serious disease affecting susceptible citrus genotypes, which is a strong concern regarding citrus breeding programs. Resistance is conferred by a recessive locus (ABSr) previously located by our group within a 3.3 Mb genome region near the centromere in chromosome III. This work addresses fine-linkage mapping of this region for identifying candidate resistance genes and develops new molecular markers for ABS-resistance effective marker-assisted selection (MAS). Markers closely linked to ABSr locus were used for fine mapping using a 268-segregating diploid progeny derived from a heterozygous susceptible × resistant cross. Fine mapping limited the genomic region containing the ABSr resistance gene to 366 kb, flanked by markers at 0.4 and 0.7 cM. This region contains nine genes related to pathogen resistance. Among them, eight are resistance (R) gene homologs, with two of them harboring a serine/threonine protein kinase domain. These two genes along with a gene encoding a S-adenosyl-L-methionine-dependent-methyltransferase protein, should be considered as strong candidates for ABS-resistance. Moreover, the closest SNP was genotyped in 40 citrus varieties, revealing very high association with the resistant/susceptible phenotype. This new marker is currently used in our citrus breeding program for ABS-resistant parent and cultivar selection, at diploid, triploid and tetraploid level.
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Affiliation(s)
- Jose Cuenca
- Centro de Citricultura y Producción Vegetal, Instituto Valenciano de Investigaciones AgrariasValencia, Spain
| | - Pablo Aleza
- Centro de Citricultura y Producción Vegetal, Instituto Valenciano de Investigaciones AgrariasValencia, Spain
| | - Andres Garcia-Lor
- Centro de Citricultura y Producción Vegetal, Instituto Valenciano de Investigaciones AgrariasValencia, Spain
| | | | - Luis Navarro
- Centro de Citricultura y Producción Vegetal, Instituto Valenciano de Investigaciones AgrariasValencia, Spain
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Genome-wide association study of 12 agronomic traits in peach. Nat Commun 2016; 7:13246. [PMID: 27824331 PMCID: PMC5105138 DOI: 10.1038/ncomms13246] [Citation(s) in RCA: 109] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2015] [Accepted: 09/15/2016] [Indexed: 12/31/2022] Open
Abstract
Peach (Prunus persica L.) is a highly valuable crop species and is recognized by molecular researchers as a model fruit for the Rosaceae family. Using whole-genome sequencing data generated from 129 peach accessions, here we perform a comprehensive genome-wide association study for 12 key agronomic traits. We show that among the 10 qualitative traits investigated, nine exhibit consistent and more precise association signals than previously identified by linkage analysis. For two of the qualitative traits, we describe candidate genes, one potentially involved in cell death and another predicted to encode an auxin-efflux carrier, that are highly associated with fruit shape and non-acidity, respectively. Furthermore, we find that several genomic regions harbouring association signals for fruit weight and soluble solid content overlapped with predicted selective sweeps that occurred during peach domestication and improvement. Our findings contribute to the large-scale characterization of genes controlling agronomic traits in peach. Peach is both an economically important crop species and a model for Rosaceae fruit development research. Here, the authors perform genome-wide association analysis in peach and find candidate genes associated with variation in agronomically important fruit phenotypes.
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Bartholomé J, Bink MCAM, van Heerwaarden J, Chancerel E, Boury C, Lesur I, Isik F, Bouffier L, Plomion C. Linkage and Association Mapping for Two Major Traits Used in the Maritime Pine Breeding Program: Height Growth and Stem Straightness. PLoS One 2016; 11:e0165323. [PMID: 27806077 PMCID: PMC5091878 DOI: 10.1371/journal.pone.0165323] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2016] [Accepted: 10/10/2016] [Indexed: 01/26/2023] Open
Abstract
Background Increasing our understanding of the genetic architecture of complex traits, through analyses of genotype-phenotype associations and of the genes/polymorphisms accounting for trait variation, is crucial, to improve the integration of molecular markers into forest tree breeding. In this study, two full-sib families and one breeding population of maritime pine were used to identify quantitative trait loci (QTLs) for height growth and stem straightness, through linkage analysis (LA) and linkage disequilibrium (LD) mapping approaches. Results The populations used for LA consisted of two unrelated three-generation full-sib families (n = 197 and n = 477). These populations were assessed for height growth or stem straightness and genotyped for 248 and 217 markers, respectively. The population used for LD mapping consisted of 661 founders of the first and second generations of the breeding program. This population was phenotyped for the same traits and genotyped for 2,498 single-nucleotide polymorphism (SNP) markers corresponding to 1,652 gene loci. The gene-based reference genetic map of maritime pine was used to localize and compare the QTLs detected by the two approaches, for both traits. LA identified three QTLs for stem straightness and two QTLs for height growth. The LD study yielded seven significant associations (P ≤ 0.001): four for stem straightness and three for height growth. No colocalisation was found between QTLs identified by LA and SNPs detected by LD mapping for the same trait. Conclusions This study provides the first comparison of LA and LD mapping approaches in maritime pine, highlighting the complementary nature of these two approaches for deciphering the genetic architecture of two mandatory traits of the breeding program.
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Affiliation(s)
| | - Marco CAM Bink
- Biometris, Wageningen University and Research Centre, NL-6700 AC, Wageningen, Netherlands
| | - Joost van Heerwaarden
- Biometris, Wageningen University and Research Centre, NL-6700 AC, Wageningen, Netherlands
| | | | | | - Isabelle Lesur
- BIOGECO, INRA, Univ. Bordeaux, 33610, Cestas, France
- HelixVenture, Mérignac, France
| | - Fikret Isik
- North Carolina State University, Department of Forestry and Environmental Resources, Raleigh, NC, United States of America
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Migicovsky Z, Gardner KM, Money D, Sawler J, Bloom JS, Moffett P, Chao CT, Schwaninger H, Fazio G, Zhong GY, Myles S. Genome to Phenome Mapping in Apple Using Historical Data. THE PLANT GENOME 2016; 9. [PMID: 27898813 DOI: 10.3835/plantgenome2015.11.0113] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
Apple ( X Borkh.) is one of the world's most valuable fruit crops. Its large size and long juvenile phase make it a particularly promising candidate for marker-assisted selection (MAS). However, advances in MAS in apple have been limited by a lack of phenotype and genotype data from sufficiently large samples. To establish genotype-phenotype relationships and advance MAS in apple, we extracted over 24,000 phenotype scores from the USDA-Germplasm Resources Information Network (GRIN) database and linked them with over 8000 single nucleotide polymorphisms (SNPs) from 689 apple accessions from the USDA apple germplasm collection clonally preserved in Geneva, NY. We find significant genetic differentiation between Old World and New World cultivars and demonstrate that the genetic structure of the domesticated apple also reflects the time required for ripening. A genome-wide association study (GWAS) of 36 phenotypes confirms the association between fruit color and the MYB1 locus, and we also report a novel association between the transcription factor, NAC18.1, and harvest date and fruit firmness. We demonstrate that harvest time and fruit size can be predicted with relatively high accuracies ( > 0.46) using genomic prediction. Rapid decay of linkage disequilibrium (LD) in apples means millions of SNPs may be required for well-powered GWAS. However, rapid LD decay also promises to enable extremely high resolution mapping of causal variants, which holds great potential for advancing MAS.
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Nicolas SD, Péros JP, Lacombe T, Launay A, Le Paslier MC, Bérard A, Mangin B, Valière S, Martins F, Le Cunff L, Laucou V, Bacilieri R, Dereeper A, Chatelet P, This P, Doligez A. Genetic diversity, linkage disequilibrium and power of a large grapevine (Vitis vinifera L) diversity panel newly designed for association studies. BMC PLANT BIOLOGY 2016; 16:74. [PMID: 27005772 PMCID: PMC4802926 DOI: 10.1186/s12870-016-0754-z] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2015] [Accepted: 03/14/2016] [Indexed: 05/19/2023]
Abstract
BACKGROUND As for many crops, new high-quality grapevine varieties requiring less pesticide and adapted to climate change are needed. In perennial species, breeding is a long process which can be speeded up by gaining knowledge about quantitative trait loci linked to agronomic traits variation. However, due to the long juvenile period of these species, establishing numerous highly recombinant populations for high resolution mapping is both costly and time-consuming. Genome wide association studies in germplasm panels is an alternative method of choice, since it allows identifying the main quantitative trait loci with high resolution by exploiting past recombination events between cultivars. Such studies require adequate panel design to represent most of the available genetic and phenotypic diversity. Assessing linkage disequilibrium extent and panel power is also needed to determine the marker density required for association studies. RESULTS Starting from the largest grapevine collection worldwide maintained in Vassal (France), we designed a diversity panel of 279 cultivars with limited relatedness, reflecting the low structuration in three genetic pools resulting from different uses (table vs wine) and geographical origin (East vs West), and including the major founders of modern cultivars. With 20 simple sequence repeat markers and five quantitative traits, we showed that our panel adequately captured most of the genetic and phenotypic diversity existing within the entire Vassal collection. To assess linkage disequilibrium extent and panel power, we genotyped single nucleotide polymorphisms: 372 over four genomic regions and 129 distributed over the whole genome. Linkage disequilibrium, measured by correlation corrected for kinship, reached 0.2 for a physical distance between 9 and 458 Kb depending on genetic pool and genomic region, with varying size of linkage disequilibrium blocks. This panel achieved reasonable power to detect associations between traits with high broad-sense heritability (> 0.7) and causal loci with intermediate allelic frequency and strong effect (explaining > 10 % of total variance). CONCLUSIONS Our association panel constitutes a new, highly valuable resource for genetic association studies in grapevine, and deserves dissemination to diverse field and greenhouse trials to gain more insight into the genetic control of many agronomic traits and their interaction with the environment.
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Affiliation(s)
- Stéphane D. Nicolas
- />INRA, UMR AGAP, F-34060 Montpellier, France
- />GQE-Le Moulon, INRA - Univ. Paris-Sud - CNRS - AgroParisTech - Université Paris-Saclay, Ferme du Moulon, F-91190 Gif-sur-Yvette, France
| | | | | | | | | | | | | | - Sophie Valière
- />INRA, Plateforme Génomique, F-31326 Castanet-Tolosan, France
| | - Frédéric Martins
- />INRA, Plateforme Génomique, F-31326 Castanet-Tolosan, France
- />INSERM, UMR1048, F-31432 Toulouse, France
| | | | | | | | - Alexis Dereeper
- />INRA, UMR AGAP, F-34060 Montpellier, France
- />IRD, UMR IPME, F-34394 Montpellier 5, France
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Yang S, Fresnedo-Ramírez J, Wang M, Cote L, Schweitzer P, Barba P, Takacs EM, Clark M, Luby J, Manns DC, Sacks G, Mansfield AK, Londo J, Fennell A, Gadoury D, Reisch B, Cadle-Davidson L, Sun Q. A next-generation marker genotyping platform (AmpSeq) in heterozygous crops: a case study for marker-assisted selection in grapevine. HORTICULTURE RESEARCH 2016; 3:16002. [PMID: 27257505 PMCID: PMC4879517 DOI: 10.1038/hortres.2016.2] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2015] [Revised: 01/06/2016] [Accepted: 01/08/2016] [Indexed: 05/07/2023]
Abstract
Marker-assisted selection (MAS) is often employed in crop breeding programs to accelerate and enhance cultivar development, via selection during the juvenile phase and parental selection prior to crossing. Next-generation sequencing and its derivative technologies have been used for genome-wide molecular marker discovery. To bridge the gap between marker development and MAS implementation, this study developed a novel practical strategy with a semi-automated pipeline that incorporates trait-associated single nucleotide polymorphism marker discovery, low-cost genotyping through amplicon sequencing (AmpSeq) and decision making. The results document the development of a MAS package derived from genotyping-by-sequencing using three traits (flower sex, disease resistance and acylated anthocyanins) in grapevine breeding. The vast majority of sequence reads (⩾99%) were from the targeted regions. Across 380 individuals and up to 31 amplicons sequenced in each lane of MiSeq data, most amplicons (83 to 87%) had <10% missing data, and read depth had a median of 220-244×. Several strengths of the AmpSeq platform that make this approach of broad interest in diverse crop species include accuracy, flexibility, speed, high-throughput, low-cost and easily automated analysis.
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Affiliation(s)
- Shanshan Yang
- Horticulture Section, School of Integrative Plant Science, Cornell University, Geneva, NY 14456, USA
| | | | - Minghui Wang
- Bioinformatics Facility, Cornell University, Ithaca, NY 14853, USA
| | - Linda Cote
- Institute of Biotechnology, Cornell University, Ithaca, NY 14853, USA
| | - Peter Schweitzer
- Institute of Biotechnology, Cornell University, Ithaca, NY 14853, USA
| | - Paola Barba
- Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, NY 14853, USA
| | - Elizabeth M Takacs
- Horticulture Section, School of Integrative Plant Science, Cornell University, Geneva, NY 14456, USA
| | - Matthew Clark
- Department of Horticultural Science, University of Minnesota, St Paul, MN 55108, USA
| | - James Luby
- Department of Horticultural Science, University of Minnesota, St Paul, MN 55108, USA
| | - David C Manns
- Department of Food Science, Cornell University, Geneva, NY 14456, USA
| | - Gavin Sacks
- Department of Food Science, Cornell University, Ithaca, NY 14853, USA
| | | | - Jason Londo
- USDA-ARS Grape Genetics Research Unit, Geneva, NY 14456, USA
| | - Anne Fennell
- Plant Science Department, South Dakota State University, Brookings, SD 57007, USA
| | - David Gadoury
- Plant Pathology and Plant-Microbe Biology Section, School of Integrative Plant Science, Cornell University, Geneva, NY 14456, USA
| | - Bruce Reisch
- Horticulture Section, School of Integrative Plant Science, Cornell University, Geneva, NY 14456, USA
| | | | - Qi Sun
- Bioinformatics Facility, Cornell University, Ithaca, NY 14853, USA
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Scossa F, Brotman Y, de Abreu E Lima F, Willmitzer L, Nikoloski Z, Tohge T, Fernie AR. Genomics-based strategies for the use of natural variation in the improvement of crop metabolism. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2016; 242:47-64. [PMID: 26566824 DOI: 10.1016/j.plantsci.2015.05.021] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2015] [Revised: 05/29/2015] [Accepted: 05/31/2015] [Indexed: 05/08/2023]
Abstract
Next-generation genomics holds great potential in the study of plant phenotypic variation. With several crop reference genomes now available, the affordable costs of de novo genome assembly or target resequencing offer the opportunity to mine the enormous amount of genetic diversity hidden in crop wild relatives. Wide introgressions from these wild ancestors species or land races represent a possible strategy to improve cultivated varieties. In this review, we discuss the mechanisms underlying metabolic diversity within plant species and the possible strategies (and barriers) to introgress novel metabolic traits into cultivated varieties. We show how deep genomic surveys uncover various types of structural variants from extended gene pools of major crops and highlight how this variation may be used for the improvement of crop metabolism.
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Affiliation(s)
- Federico Scossa
- Max-Planck-Institut für Molekulare Pflanzenphysiologie, Am Mühlenberg 1, 14476 Potsdam, Germany; Consiglio per la Ricerca e la Sperimentazione in Agricoltura, Centro di Ricerca per la Frutticoltura, Via di Fioranello 52, 00134 Rome, Italy.
| | - Yariv Brotman
- Max-Planck-Institut für Molekulare Pflanzenphysiologie, Am Mühlenberg 1, 14476 Potsdam, Germany.
| | | | - Lothar Willmitzer
- Max-Planck-Institut für Molekulare Pflanzenphysiologie, Am Mühlenberg 1, 14476 Potsdam, Germany.
| | - Zoran Nikoloski
- Max-Planck-Institut für Molekulare Pflanzenphysiologie, Am Mühlenberg 1, 14476 Potsdam, Germany.
| | - Takayuki Tohge
- Max-Planck-Institut für Molekulare Pflanzenphysiologie, Am Mühlenberg 1, 14476 Potsdam, Germany.
| | - Alisdair R Fernie
- Max-Planck-Institut für Molekulare Pflanzenphysiologie, Am Mühlenberg 1, 14476 Potsdam, Germany.
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Iwata H, Minamikawa MF, Kajiya-Kanegae H, Ishimori M, Hayashi T. Genomics-assisted breeding in fruit trees. BREEDING SCIENCE 2016; 66:100-15. [PMID: 27069395 PMCID: PMC4780794 DOI: 10.1270/jsbbs.66.100] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2015] [Accepted: 01/12/2016] [Indexed: 05/03/2023]
Abstract
Recent advancements in genomic analysis technologies have opened up new avenues to promote the efficiency of plant breeding. Novel genomics-based approaches for plant breeding and genetics research, such as genome-wide association studies (GWAS) and genomic selection (GS), are useful, especially in fruit tree breeding. The breeding of fruit trees is hindered by their long generation time, large plant size, long juvenile phase, and the necessity to wait for the physiological maturity of the plant to assess the marketable product (fruit). In this article, we describe the potential of genomics-assisted breeding, which uses these novel genomics-based approaches, to break through these barriers in conventional fruit tree breeding. We first introduce the molecular marker systems and whole-genome sequence data that are available for fruit tree breeding. Next we introduce the statistical methods for biparental linkage and quantitative trait locus (QTL) mapping as well as GWAS and GS. We then review QTL mapping, GWAS, and GS studies conducted on fruit trees. We also review novel technologies for rapid generation advancement. Finally, we note the future prospects of genomics-assisted fruit tree breeding and problems that need to be overcome in the breeding.
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Affiliation(s)
- Hiroyoshi Iwata
- Department of Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo,
1-1-1 Yayoi, Bunkyo, Tokyo 113-8657,
Japan
- Corresponding author (e-mail: )
| | - Mai F. Minamikawa
- Department of Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo,
1-1-1 Yayoi, Bunkyo, Tokyo 113-8657,
Japan
| | - Hiromi Kajiya-Kanegae
- Department of Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo,
1-1-1 Yayoi, Bunkyo, Tokyo 113-8657,
Japan
| | - Motoyuki Ishimori
- Department of Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo,
1-1-1 Yayoi, Bunkyo, Tokyo 113-8657,
Japan
| | - Takeshi Hayashi
- Agroinfomatics Division, NARO Agricultural Research Center (NARC),
3-1-1 Kannondai, Tsukuba, Ibaraki 305-8666,
Japan
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Ma B, Liao L, Zheng H, Chen J, Wu B, Ogutu C, Li S, Korban SS, Han Y. Genes Encoding Aluminum-Activated Malate Transporter II and their Association with Fruit Acidity in Apple. THE PLANT GENOME 2015; 8:eplantgenome2015.03.0016. [PMID: 33228269 DOI: 10.3835/plantgenome2015.03.0016] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2015] [Accepted: 05/27/2015] [Indexed: 05/25/2023]
Abstract
A gene encoding aluminum-activated malate transporter (ALMT) was previously reported as a candidate for the Ma locus controlling acidity in apple (Malus × domestica Borkh.). In this study, we found that apple ALMT genes can be divided into three families and the Ma1 gene belongs to the ALMTII family. Duplication of ALMTII genes in apple is related to the polyploid origin of the apple genome. Divergence in expression has occurred between the Ma1 gene and its homologs in the ALMTII family and only the Ma1 gene is significantly associated with malic acid content. The Ma locus consists of two alleles, Ma1 and ma1. Ma1 resides in the tonoplast and its ectopic expression in yeast was found to increase the influx of malic acid into yeast cells significantly, suggesting it may function as a vacuolar malate channel. In contrast, ma1 encodes a truncated protein because of a single nucleotide substitution of G with A in the last exon. As this truncated protein resides within the cell membrane, it is deemed to be nonfunctional as a vacuolar malate channel. The frequency of the Ma1Ma1 genotype is very low in apple cultivars but is high in wild relatives, which suggests that apple domestication may be accompanied by selection for the Ma1 gene. In addition, variations in the malic acid content of mature fruits were also observed between accessions with the same genotype in the Ma locus. This suggests that the Ma gene is not the only genetic determinant of fruit acidity in apple.
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Affiliation(s)
- Baiquan Ma
- Key Lab. of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden of the Chinese Academy of Sciences, Wuhan, 430074, P.R. China
- Graduate Univ. of Chinese Academy of Sciences, 19A Yuquanlu, Beijing, 100049, P.R. China
| | - Liao Liao
- Key Lab. of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden of the Chinese Academy of Sciences, Wuhan, 430074, P.R. China
| | - Hongyu Zheng
- Key Lab. of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden of the Chinese Academy of Sciences, Wuhan, 430074, P.R. China
- Graduate Univ. of Chinese Academy of Sciences, 19A Yuquanlu, Beijing, 100049, P.R. China
| | - Jie Chen
- Beijing Key Lab. of Grape Sciences and Enology, and Key Lab. of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- Graduate Univ. of Chinese Academy of Sciences, 19A Yuquanlu, Beijing, 100049, P.R. China
| | - Benhong Wu
- Beijing Key Lab. of Grape Sciences and Enology, and Key Lab. of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Collins Ogutu
- Key Lab. of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden of the Chinese Academy of Sciences, Wuhan, 430074, P.R. China
- Graduate Univ. of Chinese Academy of Sciences, 19A Yuquanlu, Beijing, 100049, P.R. China
| | - Shaohua Li
- Key Lab. of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden of the Chinese Academy of Sciences, Wuhan, 430074, P.R. China
| | - Schuyler S Korban
- Dep. of Biology, Univ. of Massachusetts-Boston, Boston, MA, 02184, USA
| | - Yuepeng Han
- Key Lab. of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden of the Chinese Academy of Sciences, Wuhan, 430074, P.R. China
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Sun R, Chang Y, Yang F, Wang Y, Li H, Zhao Y, Chen D, Wu T, Zhang X, Han Z. A dense SNP genetic map constructed using restriction site-associated DNA sequencing enables detection of QTLs controlling apple fruit quality. BMC Genomics 2015; 16:747. [PMID: 26437648 PMCID: PMC4595315 DOI: 10.1186/s12864-015-1946-x] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2014] [Accepted: 09/22/2015] [Indexed: 02/05/2023] Open
Abstract
Background Genetic map based quantitative trait locus (QTL) analysis is an important method for studying important horticultural traits in apple. To facilitate molecular breeding studies of fruit quality traits in apple, we aim to construct a high density map which was efficient for QTL mapping and possible to search for candidate genes directly in mapped QTLs regions. Methods A total of 1733 F1 seedlings derived from ‘Jonathan’ × ‘Golden Delicious’ was used for the map constructionand QTL analysis. The SNP markers were developed by restriction site-associated DNA sequencing (RADseq). Phenotyping data of fruit quality traits were calculated in 2008-2011. Once QTLs were mapped, candidate genes were searched for in the corresponding regions of the apple genome sequence underlying the QTLs. Then some of the candidate genes were validated using real-time PCR. Results A high-density genetic map with 3441 SNP markers from 297 individuals was generated. Of the 3441 markers, 2017 were mapped to ‘Jonathan’ with a length of 1343.4 cM and the average distance between markers was 0.67 cM, 1932 were mapped to ‘Golden Delicious’ with a length of 1516.0 cM and the average distance between markers was 0.78 cM. Twelve significant QTLs linked to the control of fruit weight, fruit firmness, sugar content and fruit acidity were mapped to seven linkage groups. Based on gene annotation, 80, 64 and 17 genes related to fruit weight, fruit firmness and fruit acidity, respectively, were analyzed.Among the 17 candidate genes associated with control of fruit acidity, changes in the expression of MDP0000582174 (MdMYB4) were in agreement with the pattern of changes in malic acid content in apple during ripening, and the relative expression of MDP0000239624 (MdME) was significantly correlated withfruit acidity. Conclusions We demonstrated the construction of a dense SNP genetic map in apple using next generation sequencing and that the increased resolution enabled the detection of narrow interval QTLs linked to the three fruit quality traits assessed. The candidate genes MDP0000582174 and MDP0000239624 were found to be related to fruit acidity regulation. We conclude that application of RADseq for genetic map construction improved the precision of QTL detection and should be utilized in future studies on the regulatory mechanisms of important fruit traits in apple. Electronic supplementary material The online version of this article (doi:10.1186/s12864-015-1946-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Rui Sun
- Institute for Horticultural Plants, College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.
| | - Yuansheng Chang
- Institute for Horticultural Plants, College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.
| | - Fengqiu Yang
- Changli Institute for Pomology, Hebei Academy of Agricultural and Forestry Science, Changli, Heibei 066600, China.
| | - Yi Wang
- Institute for Horticultural Plants, College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.
| | - Hui Li
- Institute for Horticultural Plants, College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.
| | - Yongbo Zhao
- Changli Institute for Pomology, Hebei Academy of Agricultural and Forestry Science, Changli, Heibei 066600, China.
| | - Dongmei Chen
- Changli Institute for Pomology, Hebei Academy of Agricultural and Forestry Science, Changli, Heibei 066600, China.
| | - Ting Wu
- Institute for Horticultural Plants, College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.
| | - Xinzhong Zhang
- Institute for Horticultural Plants, College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.
| | - Zhenhai Han
- Institute for Horticultural Plants, College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.
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Font i Forcada C, Oraguzie N, Reyes-Chin-Wo S, Espiau MT, Socias i Company R, Fernández i Martí A. Identification of Genetic Loci Associated with Quality Traits in Almond via Association Mapping. PLoS One 2015; 10:e0127656. [PMID: 26111146 PMCID: PMC4482440 DOI: 10.1371/journal.pone.0127656] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2015] [Accepted: 04/17/2015] [Indexed: 01/15/2023] Open
Abstract
To design an appropriate association study, we need to understand population structure and the structure of linkage disequilibrium within and among populations as well as in different regions of the genome in an organism. In this study, we have used a total of 98 almond accessions, from five continents located and maintained at the Centro de Investigación y Tecnología Agroalimentaria de Aragón (CITA; Spain), and 40 microsatellite markers. Population structure analysis performed in 'Structure' grouped the accessions into two principal groups; the Mediterranean (Western-Europe) and the non-Mediterranean, with K = 3, being the best fit for our data. There was a strong subpopulation structure with linkage disequilibrium decaying with increasing genetic distance resulting in lower levels of linkage disequilibrium between more distant markers. A significant impact of population structure on linkage disequilibrium in the almond cultivar groups was observed. The mean r2 value for all intra-chromosomal loci pairs was 0.040, whereas, the r2 for the inter-chromosomal loci pairs was 0.036. For analysis of association between the markers and phenotypic traits, five models comprising both general linear models and mixed linear models were selected to test the marker trait associations. The mixed linear model (MLM) approach using co-ancestry values from population structure and kinship estimates (K model) as covariates identified a maximum of 16 significant associations for chemical traits and 12 for physical traits. This study reports for the first time the use of association mapping for determining marker-locus trait associations in a world-wide almond germplasm collection. It is likely that association mapping will have the most immediate and largest impact on the tier of crops such as almond with the greatest economic value.
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Affiliation(s)
- Carolina Font i Forcada
- Genome Center, 451 Health Sciences Dr, University of California Davis, Davis, CA 95616, United States of America
| | - Nnadozie Oraguzie
- Washington State University, Irrigated Agriculture Research and Extension Center, 24106 N Bunn Road, Prosser, WA 99350, United States of America
| | - Sebastian Reyes-Chin-Wo
- Genome Center, 451 Health Sciences Dr, University of California Davis, Davis, CA 95616, United States of America
| | - Maria Teresa Espiau
- Unidad de Hortofruticultura, Centro de Investigación y Tecnología Agroalimentaria de Aragón (CITA), Av. Montañana 930, 50059, Zaragoza, Spain
| | - Rafael Socias i Company
- Unidad de Hortofruticultura, Centro de Investigación y Tecnología Agroalimentaria de Aragón (CITA), Av. Montañana 930, 50059, Zaragoza, Spain
| | - Angel Fernández i Martí
- Genome Center, 451 Health Sciences Dr, University of California Davis, Davis, CA 95616, United States of America
- Unidad de Hortofruticultura, Centro de Investigación y Tecnología Agroalimentaria de Aragón (CITA), Av. Montañana 930, 50059, Zaragoza, Spain
- * E-mail:
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50
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Ultrahigh-density linkage map for cultivated cucumber (Cucumis sativus L.) using a single-nucleotide polymorphism genotyping array. PLoS One 2015; 10:e0124101. [PMID: 25874931 PMCID: PMC4395401 DOI: 10.1371/journal.pone.0124101] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2014] [Accepted: 02/26/2015] [Indexed: 01/30/2023] Open
Abstract
Genotyping arrays are tools for high-throughput genotyping, which is beneficial in constructing saturated genetic maps and therefore high-resolution mapping of complex traits. Since the report of the first cucumber genome draft, genetic maps have been constructed mainly based on simple-sequence repeats (SSRs) or on combinations of SSRs and sequence-related amplified polymorphism (SRAP). In this study, we developed the first cucumber genotyping array consisting of 32,864 single-nucleotide polymorphisms (SNPs). These markers cover the cucumber genome with a median interval of ~2 Kb and have expected genotype calls in parents/F1 hybridizations as a training set. The training set was validated with Fluidigm technology and showed 96% concordance with the genotype calls in the parents/F1 hybridizations. Application of the genotyping array was illustrated by constructing a 598.7 cM genetic map based on a ‘9930’ × ‘Gy14’ recombinant inbred line (RIL) population comprised of 11,156 SNPs. Marker collinearity between the genetic map and reference genomes of the two parents was estimated at R2 = 0.97. We also used the array-derived genetic map to investigate chromosomal rearrangements, regional recombination rate, and specific regions with segregation distortions. Finally, 82% of the linkage-map bins were polymorphic in other cucumber variants, suggesting that the array can be applied for genotyping in other lines. The genotyping array presented here, together with the genotype calls of the parents/F1 hybridizations as a training set, should be a powerful tool in future studies with high-throughput cucumber genotyping. An ultrahigh-density linkage map constructed by this genotyping array on RIL population may be invaluable for assembly improvement, and for mapping important cucumber QTLs.
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