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Cosenza F, Shrestha A, Van Inghelandt D, Casale FA, Wu PY, Weisweiler M, Li J, Wespel F, Stich B. Genetic mapping reveals new loci and alleles for flowering time and plant height using the double round-robin population of barley. JOURNAL OF EXPERIMENTAL BOTANY 2024; 75:2385-2402. [PMID: 38330219 PMCID: PMC11016846 DOI: 10.1093/jxb/erae010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 02/07/2024] [Indexed: 02/10/2024]
Abstract
Flowering time and plant height are two critical determinants of yield potential in barley (Hordeum vulgare). Despite their role in plant physiological regulation, a complete overview of the genetic complexity of flowering time and plant height regulation in barley is still lacking. Using a double round-robin population originated from the crossings of 23 diverse parental inbred lines, we aimed to determine the variance components in the regulation of flowering time and plant height in barley as well as to identify new genetic variants by single and multi-population QTL analyses and allele mining. Despite similar genotypic variance, we observed higher environmental variance components for plant height than flowering time. Furthermore, we detected new QTLs for flowering time and plant height. Finally, we identified a new functional allelic variant of the main regulatory gene Ppd-H1. Our results show that the genetic architecture of flowering time and plant height might be more complex than reported earlier and that a number of undetected, small effect, or low-frequency genetic variants underlie the control of these two traits.
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Affiliation(s)
- Francesco Cosenza
- Institute for Quantitative Genetics and Genomics of Plants, Heinrich Heine University, 40225 Düsseldorf, Germany
| | - Asis Shrestha
- Institute for Quantitative Genetics and Genomics of Plants, Heinrich Heine University, 40225 Düsseldorf, Germany
| | - Delphine Van Inghelandt
- Institute for Quantitative Genetics and Genomics of Plants, Heinrich Heine University, 40225 Düsseldorf, Germany
| | - Federico A Casale
- Institute for Quantitative Genetics and Genomics of Plants, Heinrich Heine University, 40225 Düsseldorf, Germany
| | - Po-Ya Wu
- Institute for Quantitative Genetics and Genomics of Plants, Heinrich Heine University, 40225 Düsseldorf, Germany
| | - Marius Weisweiler
- Institute for Quantitative Genetics and Genomics of Plants, Heinrich Heine University, 40225 Düsseldorf, Germany
| | - Jinquan Li
- Max Planck Institute for Plant Breeding Research, 50829 Köln, Germany
| | - Franziska Wespel
- Saatzucht Josef Breun GmbH Co. KG, Amselweg 1, 91074 Herzogenaurach, Germany
| | - Benjamin Stich
- Institute for Quantitative Genetics and Genomics of Plants, Heinrich Heine University, 40225 Düsseldorf, Germany
- Max Planck Institute for Plant Breeding Research, 50829 Köln, Germany
- Cluster of Excellence on Plant Sciences (CEPLAS), Heinrich Heine University, 40225 Düsseldorf, Germany
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Makhtoum S, Sabouri H, Gholizadeh A, Ahangar L, Katouzi M. QTLs Controlling Physiological and Morphological Traits of Barley (Hordeum vulgare L.) Seedlings under Salinity, Drought, and Normal Conditions. BIOTECH 2022; 11:biotech11030026. [PMID: 35892931 PMCID: PMC9326576 DOI: 10.3390/biotech11030026] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 07/09/2022] [Accepted: 07/12/2022] [Indexed: 11/16/2022] Open
Abstract
To identify the genomic regions for the physiological and morphological traits of barley genotypes under normal salinity and drought, a set of 103 recombinant inbred line (RIL) populations, developed between Badia and Kavir crosses, was evaluated under phytotron conditions in a completely randomized design in 2019. Linkage maps were prepared using 152 SSR markers, 72 ISSR, 7 IRAP, 29 CAAT, 27 SCoT, and 15 iPBS alleles. The markers were assigned to seven barley chromosomes and covered 999.29 centimorgans (cM) of the barley genome. In addition, composite interval mapping showed 8, 9, and 26 quantitative trait loci (QTLs) under normal, drought, and salinity stress conditions, respectively. Our results indicate the importance of chromosomes 1, 4, 5, and 7 in salinity stress. These regions were involved in genes controlling stomata length (LR), leaf number (LN), leaf weight (LW), and genetic score (SCR). Three major stable pleiotropic QTLs (i.e., qSCS-1, qRLS-1, and qLNN-1) were associated with SCR, root length (RL), and root number (RN) in both treatments (i.e., normal and salinity), and two major stable pleiotropic QTLs (i.e., qSNN-3 and qLWS-3) associated with the stomata number (SN) and LW appeared to be promising for marker-assisted selection (MAS). Two major-effect QTLs (i.e., SCot8-B-CAAT5-D and HVM54-Bmag0571) on chromosomes 1 and 2 were characterized for their positive allele effect, which can be used to develop barley varieties concerning drought conditions. The new alleles (i.e., qLWS-4a, qSLS-4, qLNS-7b, qSCS-7, and qLNS-7a) identified in this study are useful in pyramiding elite alleles for molecular breeding and marker assisted selection for improving salinity tolerance in barley.
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Affiliation(s)
- Somayyeh Makhtoum
- Department of Plant Production, Faculty of Agriculture Science and Natural Resources, Gonbad Kavous University, Gonbad 4971799151, Iran; (S.M.); (A.G.); (L.A.)
| | - Hossein Sabouri
- Department of Plant Production, Faculty of Agriculture Science and Natural Resources, Gonbad Kavous University, Gonbad 4971799151, Iran; (S.M.); (A.G.); (L.A.)
- Correspondence: or (H.S.); (M.K.); Tel.: +98-91-1143-8917 (H.S.); +41-77-9660486 (M.K.)
| | - Abdollatif Gholizadeh
- Department of Plant Production, Faculty of Agriculture Science and Natural Resources, Gonbad Kavous University, Gonbad 4971799151, Iran; (S.M.); (A.G.); (L.A.)
| | - Leila Ahangar
- Department of Plant Production, Faculty of Agriculture Science and Natural Resources, Gonbad Kavous University, Gonbad 4971799151, Iran; (S.M.); (A.G.); (L.A.)
| | - Mahnaz Katouzi
- Crop Génome Dynamics Group, Agroscope Changins, 1260 Nyon, Switzerland
- Correspondence: or (H.S.); (M.K.); Tel.: +98-91-1143-8917 (H.S.); +41-77-9660486 (M.K.)
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Dreccer MF, Macdonald B, Farnsworth CA, Paccapelo MV, Awasi MA, Condon AG, Forrest K, Lee Long I, McIntyre CL. Multi-donor × elite-based populations reveal QTL for low-lodging wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:1685-1703. [PMID: 35312799 PMCID: PMC9110543 DOI: 10.1007/s00122-022-04063-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Accepted: 02/12/2022] [Indexed: 05/15/2023]
Abstract
Low-lodging high-yielding wheat germplasm and SNP-tagged novel alleles for lodging were identified in a process that involved selecting donors through functional phenotyping for underlying traits with a designed phenotypic screen, and a crossing strategy involving multiple-donor × elite populations. Lodging is a barrier to achieving high yield in wheat. As part of a study investigating the potential to breed low-lodging high-yielding wheat, populations were developed crossing four low-lodging high-yielding donors selected based on lodging related traits, with three cultivars. Lodging was evaluated in single rows in an early generation and subsequently in plots in 2 years with contrasting lodging environment. A large number of lines lodged less than their recurrent parents, and some were also higher yielding. Heritability for lodging was high, but the genetic correlation between contrasting environments was intermediate-low. Lodging genotypic rankings in single rows did not correlate well with plots. Populations from the highest lodging background were genotyped (90 K iSelect BeadChip array). Fourteen markers on nine chromosomes were associated with lodging, differing under high- versus low-lodging conditions. Of the fourteen markers, ten were found to co-locate with previously identified QTL for lodging-related traits or at homoeologous locations for previously identified lodging-related QTL, while the remaining four markers (in chromosomes 2D, 4D, 7B and 7D) appear to map to novel QTL for lodging. Lines with more favourable markers lodged less, suggesting value in these markers as a selection tool. This study demonstrates that the combination of donor functional phenotyping, screen design and crossing strategy can help identify novel alleles in germplasm without requiring extensive bi-parental populations.
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Affiliation(s)
- M Fernanda Dreccer
- CSIRO Agriculture and Food, Queensland Bioscience Precinct, 306 Carmody Road, Saint Lucia, QLD, 4067, Australia.
| | - Bethany Macdonald
- Department of Agriculture and Fisheries, Leslie Research Facility, Toowoomba, QLD, 4350, Australia
| | - Claire A Farnsworth
- CSIRO Cooper Laboratory, University of Queensland Gatton Campus, Gatton, QLD, 4343, Australia
| | - M Valeria Paccapelo
- Department of Agriculture and Fisheries, Leslie Research Facility, Toowoomba, QLD, 4350, Australia
| | - Mary Anne Awasi
- CSIRO Cooper Laboratory, University of Queensland Gatton Campus, Gatton, QLD, 4343, Australia
| | - Anthony G Condon
- CSIRO Agriculture and Food, Building 101, Clunies Ross Street, Black Mountain, ACT, 2600, Australia
| | - Kerrie Forrest
- Agriculture Victoria Research, Department of Jobs, Precincts and Regions, Agribio, 5 Ring Rd., Bundoora, VIC, 3083, Australia
| | - Ian Lee Long
- CSIRO Cooper Laboratory, University of Queensland Gatton Campus, Gatton, QLD, 4343, Australia
| | - C Lynne McIntyre
- CSIRO Agriculture and Food, Queensland Bioscience Precinct, 306 Carmody Road, Saint Lucia, QLD, 4067, Australia
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Kreszies T, Eggels S, Kreszies V, Osthoff A, Shellakkutti N, Baldauf JA, Zeisler-Diehl VV, Hochholdinger F, Ranathunge K, Schreiber L. Seminal roots of wild and cultivated barley differentially respond to osmotic stress in gene expression, suberization, and hydraulic conductivity. PLANT, CELL & ENVIRONMENT 2020; 43:344-357. [PMID: 31762057 DOI: 10.1111/pce.13675] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2019] [Revised: 10/23/2019] [Accepted: 11/03/2019] [Indexed: 05/13/2023]
Abstract
Wild barley, Hordeum vulgare spp. spontaneum, has a wider genetic diversity than its cultivated progeny, Hordeum vulgare spp. vulgare. Osmotic stress leads to a series of different responses in wild barley seminal roots, ranging from no changes in suberization to enhanced endodermal suberization of certain zones and the formation of a suberized exodermis, which was not observed in the modern cultivars studied so far. Further, as a response to osmotic stress, the hydraulic conductivity of roots was not affected in wild barley, but it was 2.5-fold reduced in cultivated barley. In both subspecies, osmotic adjustment by increasing proline concentration and decreasing osmotic potential in roots was observed. RNA-sequencing indicated that the regulation of suberin biosynthesis and water transport via aquaporins were different between wild and cultivated barley. These results indicate that wild barley uses different strategies to cope with osmotic stress compared with cultivated barley. Thus, it seems that wild barley is better adapted to cope with osmotic stress by maintaining a significantly higher hydraulic conductivity of roots during water deficit.
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Affiliation(s)
- Tino Kreszies
- Department of Ecophysiology, Institute of Cellular and Molecular Botany, University of Bonn, Bonn, 53115, Germany
| | - Stella Eggels
- Department of Ecophysiology, Institute of Cellular and Molecular Botany, University of Bonn, Bonn, 53115, Germany
- Plant Breeding, TUM School of Life Sciences Weihenstephan, Technical University of Munich, Munich, 85354, Germany
| | - Victoria Kreszies
- Department of Ecophysiology, Institute of Cellular and Molecular Botany, University of Bonn, Bonn, 53115, Germany
| | - Alina Osthoff
- Crop Functional Genomics, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Bonn, 53113, Germany
| | - Nandhini Shellakkutti
- Department of Ecophysiology, Institute of Cellular and Molecular Botany, University of Bonn, Bonn, 53115, Germany
| | - Jutta A Baldauf
- Crop Functional Genomics, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Bonn, 53113, Germany
| | - Viktoria V Zeisler-Diehl
- Department of Ecophysiology, Institute of Cellular and Molecular Botany, University of Bonn, Bonn, 53115, Germany
| | - Frank Hochholdinger
- Crop Functional Genomics, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Bonn, 53113, Germany
| | - Kosala Ranathunge
- School of Biological Sciences, Faculty of Science, University of Western Australia, Perth, 6009, Australia
| | - Lukas Schreiber
- Department of Ecophysiology, Institute of Cellular and Molecular Botany, University of Bonn, Bonn, 53115, Germany
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Soriano JM, Alvaro F. Discovering consensus genomic regions in wheat for root-related traits by QTL meta-analysis. Sci Rep 2019; 9:10537. [PMID: 31332216 PMCID: PMC6646344 DOI: 10.1038/s41598-019-47038-2] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Accepted: 07/09/2019] [Indexed: 11/25/2022] Open
Abstract
Root system architecture is crucial for wheat adaptation to drought stress, but phenotyping for root traits in breeding programmes is difficult and time-consuming owing to the belowground characteristics of the system. Identifying quantitative trait loci (QTLs) and linked molecular markers and using marker-assisted selection is an efficient way to increase selection efficiency and boost genetic gains in breeding programmes. Hundreds of QTLs have been identified for different root traits in the last few years. In the current study, consensus QTL regions were identified through QTL meta-analysis. First, a consensus map comprising 7352 markers was constructed. For the meta-analysis, 754 QTLs were retrieved from the literature and 634 of them were projected onto the consensus map. Meta-analysis grouped 557 QTLs in 94 consensus QTL regions, or meta-QTLs (MQTLs), and 18 QTLs remained as singletons. The recently published genome sequence of wheat was used to search for gene models within the MQTL peaks. As a result, gene models for 68 of the 94 Root_MQTLs were found, 35 of them related to root architecture and/or drought stress response. This work will facilitate QTL cloning and pyramiding to develop new cultivars with specific root architecture for coping with environmental constraints.
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Affiliation(s)
- Jose Miguel Soriano
- Sustainable Field Crops Programme, IRTA (Institute for Food and Agricultural Research and Technology), Lleida, Spain.
| | - Fanny Alvaro
- Sustainable Field Crops Programme, IRTA (Institute for Food and Agricultural Research and Technology), Lleida, Spain
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Jia Z, Liu Y, Gruber BD, Neumann K, Kilian B, Graner A, von Wirén N. Genetic Dissection of Root System Architectural Traits in Spring Barley. FRONTIERS IN PLANT SCIENCE 2019; 10:400. [PMID: 31001309 PMCID: PMC6454135 DOI: 10.3389/fpls.2019.00400] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Accepted: 03/18/2019] [Indexed: 05/19/2023]
Abstract
Breeding new crop cultivars with efficient root systems carries great potential to enhance resource use efficiency and plant adaptation to unstable climates. Here, we evaluated the natural variation of root system architectural traits in a diverse spring barley association panel and conducted genome-wide association mapping to identify genomic regions associated with root traits. For six studied traits, root system depth, root spreading angle, seminal root number, total seminal root length, and average seminal root length 1.9- to 4.2-fold variations were recorded. Using a mixed linear model, 55 QTLs were identified cumulatively explaining between 12.1% of the phenotypic variance for seminal root number to 48.1% of the variance for root system depth. Three major QTLs controlling root system depth, root spreading angle and total seminal root length were found on Chr 2H (56.52 cM), Chr 3H (67.92 cM), and Chr 2H (76.20 cM) and explained 12.4%, 18.4%, and 22.2% of the phenotypic variation, respectively. Meta-analysis and allele combination analysis indicated that root system depth and root spreading angle are valuable candidate traits for improving grain yield by pyramiding of favorable alleles.
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Affiliation(s)
- Zhongtao Jia
- Molecular Plant Nutrition, Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben, Germany
| | - Ying Liu
- Molecular Plant Nutrition, Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben, Germany
| | - Benjamin D. Gruber
- Molecular Plant Nutrition, Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben, Germany
| | - Kerstin Neumann
- Genome Diversity, Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben, Germany
| | - Benjamin Kilian
- Genome Diversity, Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben, Germany
| | - Andreas Graner
- Genome Diversity, Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben, Germany
| | - Nicolaus von Wirén
- Molecular Plant Nutrition, Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben, Germany
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Voss-Fels KP, Robinson H, Mudge SR, Richard C, Newman S, Wittkop B, Stahl A, Friedt W, Frisch M, Gabur I, Miller-Cooper A, Campbell BC, Kelly A, Fox G, Christopher J, Christopher M, Chenu K, Franckowiak J, Mace ES, Borrell AK, Eagles H, Jordan DR, Botella JR, Hammer G, Godwin ID, Trevaskis B, Snowdon RJ, Hickey LT. VERNALIZATION1 Modulates Root System Architecture in Wheat and Barley. MOLECULAR PLANT 2018; 11:226-229. [PMID: 29056533 DOI: 10.1016/j.molp.2017.10.005] [Citation(s) in RCA: 72] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2017] [Revised: 10/09/2017] [Accepted: 10/11/2017] [Indexed: 05/18/2023]
Affiliation(s)
- Kai P Voss-Fels
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany
| | - Hannah Robinson
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD 4072, Australia
| | - Stephen R Mudge
- School of Agriculture and Food Sciences, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Cecile Richard
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD 4072, Australia
| | - Saul Newman
- CSIRO, Agriculture, Canberra, ACT 2601, Australia
| | - Benjamin Wittkop
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany
| | - Andreas Stahl
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany
| | - Wolfgang Friedt
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany
| | - Matthias Frisch
- Department of Biometry and Population Genetics, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany
| | - Iulian Gabur
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany
| | - Anika Miller-Cooper
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD 4072, Australia
| | - Bradley C Campbell
- School of Agriculture and Food Sciences, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Alison Kelly
- Department of Agriculture and Fisheries, Leslie Research Facility, Toowoomba, QLD 4350, Australia
| | - Glen Fox
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Toowoomba, QLD 4350, Australia
| | - Jack Christopher
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Toowoomba, QLD 4350, Australia
| | - Mandy Christopher
- Department of Agriculture and Fisheries, Leslie Research Facility, Toowoomba, QLD 4350, Australia
| | - Karine Chenu
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Toowoomba, QLD 4350, Australia
| | - Jerome Franckowiak
- Department of Agronomy and Plant Genetics, University of Minnesota, St Paul, MN, USA
| | - Emma S Mace
- Department of Agriculture and Fisheries, Hermitage Research Facility, Warwick, QLD 4370, Australia
| | - Andrew K Borrell
- Queensland Alliance for Agriculture and Food Innovation, Hermitage Research Facility, The University of Queensland, Warwick, QLD 4370, Australia
| | | | - David R Jordan
- Queensland Alliance for Agriculture and Food Innovation, Hermitage Research Facility, The University of Queensland, Warwick, QLD 4370, Australia
| | - José R Botella
- School of Agriculture and Food Sciences, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Graeme Hammer
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD 4072, Australia
| | - Ian D Godwin
- School of Agriculture and Food Sciences, The University of Queensland, Brisbane, QLD 4072, Australia
| | | | - Rod J Snowdon
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany.
| | - Lee T Hickey
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD 4072, Australia.
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Wang Q, Sun G, Ren X, Wang J, Du B, Li C, Sun D. Detection of QTLs for seedling characteristics in barley (Hordeum vulgare L.) grown under hydroponic culture condition. BMC Genet 2017; 18:94. [PMID: 29115942 PMCID: PMC5678765 DOI: 10.1186/s12863-017-0562-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2017] [Accepted: 10/30/2017] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Seedling characteristics play significant roles in the growth and development of barley (Hordeum vulgare L.), including stable stand establishment, water and nutrients uptake, biotic resistance and abiotic stresses, and can influence yield and quality. However, the genetic mechanisms underlying seedling characteristics in barley are largely unknown and little research has been done. In the present work, 21 seedling-related characteristics are assessed in a barley double haploid (DH) population, grown under hydroponic conditions. Of them, leaf age (LAG), shoot height (SH), maximum root length (MRL), main root number (MRN) and seedling fresh weight (SFW) were investigated at the 13th, 20th, 27th, and 34th day after germination. The objectives were to identify quantitative trait loci (QTLs) underlying these seedling characteristics using a high-density linkage map and to reveal the QTL expression pattern by comparing the QTLs among four different seedling growth stages. RESULTS A total of 70 QTLs were distributed over all chromosomes except 4H, and, individually, accounted for 5.01%-77.78% of phenotypic variation. Out of the 70 detected QTLs, 23 showed a major effect on 14 seedling-related characteristics. Ten co-localized chromosomal regions on 2H (five regions), 3H (two regions) and 7H (three regions) involved 39 QTLs (55.71%), each simultaneously influenced more than one trait. Meanwhile, 9 co-localized genomic regions involving 22 QTLs for five seedling characteristics (LAG, SH, MRL, MRN and SFW) at the 13th, 20th, 27th and 34th day-old seedling were common for two or more growth stages of seedling. QTL in the vicinity of Vrs1 locus on chromosome 2H with the favorable alleles from Huadamai 6 was found to have the largest main effects on multiple seedling-related traits. CONCLUSIONS Six QTL cluster regions associated with 16 seedling-related characteristics were observed on chromosome 2H, 3H and 7H. The majority of the 29 regions identified for five seedling characteristics were selectively expressed at different developmental stages. The genetic effects of 9 consecutive expression regions displayed different developmental influences at different developmental stages. These findings enhanced our understanding of a genetic basis underlying seedling characteristics in barley. Some QTLs detected here could be used for marker-assisted selection (MAS) in barley breeding.
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Affiliation(s)
- Qifei Wang
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070 China
| | - Genlou Sun
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070 China
- Biology Department, Saint Mary’s University, 923 Robie Street, Halifax, NS B3H 3C3 Canada
| | - Xifeng Ren
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070 China
| | - Jibin Wang
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070 China
| | - Binbin Du
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070 China
| | - Chengdao Li
- Department of Agriculture & Food/Agricultural Research Western Australia, 3 Baron-Hay Court, South Perth, WA 6155 Australia
| | - Dongfa Sun
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070 China
- Hubei Collaborative Innovation Center for Grain Industry, Jingzhou, Hubei 434025 China
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Arifuzzaman M, Günal S, Bungartz A, Muzammil S, Afsharyan NP, Léon J, Naz AA. Correction: Genetic Mapping Reveals Broader Role of Vrn-H3 Gene in Root and Shoot Development beyond Heading in Barley. PLoS One 2017; 12:e0177612. [PMID: 28486540 PMCID: PMC5423692 DOI: 10.1371/journal.pone.0177612] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
[This corrects the article DOI: 10.1371/journal.pone.0158718.].
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