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Schierenbeck M, Alqudah AM, Lantos E, Avogadro EG, Simón MR, Börner A. Green Revolution dwarfing Rht genes negatively affected wheat floral traits related to cross-pollination efficiency. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2024; 118:1071-1085. [PMID: 38294345 DOI: 10.1111/tpj.16652] [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: 08/08/2023] [Revised: 01/08/2024] [Accepted: 01/17/2024] [Indexed: 02/01/2024]
Abstract
Hybrid breeding is a promising strategy to quickly improve wheat yield and stability. Due to the usefulness of the Rht 'Green Revolution' dwarfing alleles, it is important to gain a better understanding of their impact on traits related to hybrid development. Traits associated with cross-pollination efficiency were studied using Near Isogenic Lines carrying the different sets of alleles in Rht genes: Rht1 (semi-dwarf), Rht2 (semi-dwarf), Rht1 + 2 (dwarf), Rht3 (extreme dwarf), Rht2 + 3 (extreme dwarf), and rht (tall) during four growing seasons. Results showed that the extreme dwarfing alleles Rht2 + 3, Rht3, and Rht1 + 2 presented the greatest effects in all the traits analyzed. Plant height showed reductions up to 64% (Rht2 + 3) compared to rht. Decreases up to 20.2% in anther length and 33% in filament length (Rht2 + 3) were observed. Anthers extrusion decreased from 40% (rht) to 20% (Rht1 and Rht2), 11% (Rht3), 8.3% (Rht1 + 2), and 6.5% (Rht2 + 3). Positive correlations were detected between plant height and anther extrusion, anther, and anther filament lengths, suggesting the negative effect of dwarfing alleles. Moreover, the magnitude of these negative impacts depends on the combination of the alleles: Rht2 + 3 > Rht3/Rht1 + 2 > Rht2/Rht1 > rht (tall). Reductions were consistent across genotypes and environments with interactions due to magnitude effects. Our results indicate that Rht alleles are involved in multiple traits of interest for hybrid wheat production and the need to select alternative sources for reduced height/lodging resistance for hybrid breeding programs.
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Affiliation(s)
- Matías Schierenbeck
- Genebank Department, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstraße 3, D-06466 Seeland, OT Gatersleben, Germany
- Cereals, Faculty of Agricultural Sciences and Forestry, National University of La Plata, La Plata, Argentina
- CONICET CCT La Plata, La Plata, Buenos Aires, Argentina
| | - Ahmad M Alqudah
- Biological Science Program, Department of Biological and Environmental Sciences, College of Art and Science, Qatar University, Doha, Qatar
| | - Edit Lantos
- Genebank Department, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstraße 3, D-06466 Seeland, OT Gatersleben, Germany
| | - Evangelina G Avogadro
- Genebank Department, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstraße 3, D-06466 Seeland, OT Gatersleben, Germany
| | - María Rosa Simón
- Cereals, Faculty of Agricultural Sciences and Forestry, National University of La Plata, La Plata, Argentina
- CONICET CCT La Plata, La Plata, Buenos Aires, Argentina
| | - Andreas Börner
- Genebank Department, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstraße 3, D-06466 Seeland, OT Gatersleben, Germany
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Wang Z, Lai X, Wang C, Yang H, Liu Z, Fan Z, Li J, Zhang H, Liu M, Zhang Y. Exploring the Drought Tolerant Quantitative Trait Loci in Spring Wheat. PLANTS (BASEL, SWITZERLAND) 2024; 13:898. [PMID: 38592925 PMCID: PMC10975456 DOI: 10.3390/plants13060898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Revised: 01/24/2024] [Accepted: 03/01/2024] [Indexed: 04/11/2024]
Abstract
Drought-induced stress poses a significant challenge to wheat throughout its growth, underscoring the importance of identifying drought-stable quantitative trait loci (QTLs) for enhancing grain yield. Here, we evaluated 18 yield-related agronomic and physiological traits, along with their drought tolerance indices, in a recombinant inbred line population derived from the XC7 × XC21 cross. These evaluations were conducted under both non-stress and drought-stress conditions. Drought stress significantly reduced grain weight per spike and grain yield per plot. Genotyping the recombinant inbred line population using the wheat 90K single nucleotide polymorphism array resulted in the identification of 131 QTLs associated with the 18 traits. Drought stress also exerted negative impacts on grain formation and filling, directly leading to reductions in grain weight per spike and grain yield per plot. Among the identified QTLs, 43 were specifically associated with drought tolerance across the 18 traits, with 6 showing direct linkages to drought tolerance in wheat. These results provide valuable insights into the genetic mechanisms governing wheat growth and development, as well as the traits contributing to the drought tolerance index. Moreover, they serve as a theoretical foundation for the development of new wheat cultivars having exceptional drought tolerance and high yield potentials under both drought-prone and drought-free conditions.
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Affiliation(s)
- Zhong Wang
- Institute of Nuclear and Biological Technologies, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China; (Z.W.); (C.W.); (Z.F.); (J.L.); (H.Z.)
- Key Laboratory of Crop Ecophysiology and Farming System in Desert Oasis Region, Ministry of Agriculture, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
- Xinjiang Key Laboratory of Crop Biotechnology, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
- Xinjiang Crop Chemical Control Engineering Technology Research Center, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
| | - Xiangjun Lai
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling 712100, China;
| | - Chunsheng Wang
- Institute of Nuclear and Biological Technologies, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China; (Z.W.); (C.W.); (Z.F.); (J.L.); (H.Z.)
- Key Laboratory of Crop Ecophysiology and Farming System in Desert Oasis Region, Ministry of Agriculture, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
- Xinjiang Key Laboratory of Crop Biotechnology, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
- Xinjiang Crop Chemical Control Engineering Technology Research Center, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
| | - Hongmei Yang
- Institute of Applied Microbiology, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China;
- Xinjiang Laboratory of Special Environmental Microbiology, Institute of Applied Microbiology, Urumqi 830091, China
| | - Zihui Liu
- Department of Biochemistry, Baoding University, Baoding 071000, China;
| | - Zheru Fan
- Institute of Nuclear and Biological Technologies, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China; (Z.W.); (C.W.); (Z.F.); (J.L.); (H.Z.)
- Key Laboratory of Crop Ecophysiology and Farming System in Desert Oasis Region, Ministry of Agriculture, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
- Xinjiang Key Laboratory of Crop Biotechnology, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
- Xinjiang Crop Chemical Control Engineering Technology Research Center, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
| | - Jianfeng Li
- Institute of Nuclear and Biological Technologies, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China; (Z.W.); (C.W.); (Z.F.); (J.L.); (H.Z.)
- Key Laboratory of Crop Ecophysiology and Farming System in Desert Oasis Region, Ministry of Agriculture, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
- Xinjiang Key Laboratory of Crop Biotechnology, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
- Xinjiang Crop Chemical Control Engineering Technology Research Center, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
| | - Hongzhi Zhang
- Institute of Nuclear and Biological Technologies, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China; (Z.W.); (C.W.); (Z.F.); (J.L.); (H.Z.)
- Key Laboratory of Crop Ecophysiology and Farming System in Desert Oasis Region, Ministry of Agriculture, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
- Xinjiang Key Laboratory of Crop Biotechnology, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
- Xinjiang Crop Chemical Control Engineering Technology Research Center, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
| | - Manshuang Liu
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling 712100, China;
| | - Yueqiang Zhang
- Institute of Nuclear and Biological Technologies, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China; (Z.W.); (C.W.); (Z.F.); (J.L.); (H.Z.)
- Key Laboratory of Crop Ecophysiology and Farming System in Desert Oasis Region, Ministry of Agriculture, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
- Xinjiang Key Laboratory of Crop Biotechnology, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
- Xinjiang Crop Chemical Control Engineering Technology Research Center, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
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Hlisnikovský L, Menšík L, Roman M, Kunzová E. The Evaluation of a Long-Term Experiment on the Relationships between Weather, Nitrogen Fertilization, Preceding Crop, and Winter Wheat Grain Yield on Cambisol. PLANTS (BASEL, SWITZERLAND) 2024; 13:802. [PMID: 38592816 PMCID: PMC10974760 DOI: 10.3390/plants13060802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 03/07/2024] [Accepted: 03/08/2024] [Indexed: 04/11/2024]
Abstract
In this paper, a sequence (1979-2022) of a long-term trial established in Lukavec in 1956 (Czech Republic) focusing on the effect of weather, various nitrogen (N) fertilization methods (control, PK, N1PK, N2PK, and N3PK) and preceding crops (cereals, legumes, and oil plants) on winter wheat grain yield is presented. The weather significantly changed at the site of the long-term trial. While the trend in the mean temperature significantly increased, precipitation did not change significantly over the long term. Four relationships between weather and grain yield were evaluated to be significant: (a) the mean temperature in February (r = -0.4) and the precipitation in (b) February (r = -0.4), (c) March (r = -0.4), and (d) May (r = 0.5). The yield trends for all the fertilizer treatments increased, including the unfertilized control. The N3PK treatment provided the highest mean grain yields, while the unfertilized control had the lowest yields. Comparing the preceding crops, the highest yields were harvested when the wheat followed the legumes. On the other hand, the cereals were evaluated as the least suitable preceding crop in terms of grain yield. According to the linear-plateau model, the optimal nitrogen (N) dose for modern wheat varieties, following legumes and under the trial's soil climate conditions, was 131 kg ha-1 N, corresponding to a mean grain yield of 8.2 t ha-1.
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Affiliation(s)
- Lukáš Hlisnikovský
- Department of Nutrition Management, Crop Research Institute, Drnovská 507, Ruzyně, 161 01 Prague, Czech Republic; (L.M.); (E.K.)
| | - Ladislav Menšík
- Department of Nutrition Management, Crop Research Institute, Drnovská 507, Ruzyně, 161 01 Prague, Czech Republic; (L.M.); (E.K.)
| | - Muhammad Roman
- Department of Environment, Faculty of Environment, Jan Evangelista Purkyně University in Ústí nad Labem, Pasteurova 15, 400 96 Ústí nad Labem, Czech Republic;
| | - Eva Kunzová
- Department of Nutrition Management, Crop Research Institute, Drnovská 507, Ruzyně, 161 01 Prague, Czech Republic; (L.M.); (E.K.)
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Koua AP, Siddiqui MN, Heß K, Klag N, Kambona CM, Duarte-Delgado D, Oyiga BC, Léon J, Ballvora A. Genome-wide dissection and haplotype analysis identified candidate loci for nitrogen use efficiency under drought conditions in winter wheat. THE PLANT GENOME 2024; 17:e20394. [PMID: 37880495 DOI: 10.1002/tpg2.20394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 09/07/2023] [Accepted: 09/11/2023] [Indexed: 10/27/2023]
Abstract
Climate change causes extreme conditions like prolonged drought, which results in yield reductions due to its effects on nutrient balances such as nitrogen uptake and utilization by plants. Nitrogen (N) is a crucial nutrient element for plant growth and productivity. Understanding the mechanistic basis of nitrogen use efficiency (NUE) under drought conditions is essential to improve wheat (Triticum aestivum L.) yield. Here, we evaluated the genetic variation of NUE-related traits and photosynthesis response in a diversity panel of 200 wheat genotypes under drought and nitrogen stress conditions to uncover the inherent genetic variation and identify quantitative trait loci (QTLs) underlying these traits. The results revealed significant genetic variations among the genotypes in response to drought stress and nitrogen deprivation. Drought impacted plant performance more than N deprivation due to its effect on water and nutrient uptake. GWAS identified a total of 27 QTLs with a significant main effect on the drought-related traits, while 10 QTLs were strongly associated with the NUE traits. Haplotype analysis revealed two different haplotype blocks within the associated region on chromosomes 1B and 5A. The two haplotypes showed contrasting effects on N uptake and use efficiency traits. The in silico and transcript analyses implicated candidate gene coding for cold shock protein. This gene was the most highly expressed gene under several stress conditions, including drought stress. Upon validation, these QTLs on 1B and 5A could be used as a diagnostic marker for NUE and drought tolerance screening in wheat.
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Affiliation(s)
- Ahossi Patrice Koua
- INRES Pflanzenzüchtung, Rheinische Friedrich-Wilhelms-University, Bonn, Germany
| | - Md Nurealam Siddiqui
- INRES Pflanzenzüchtung, Rheinische Friedrich-Wilhelms-University, Bonn, Germany
- Department of Biochemistry and Molecular Biology, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh
| | - Katrin Heß
- INRES Pflanzenzüchtung, Rheinische Friedrich-Wilhelms-University, Bonn, Germany
| | - Nikko Klag
- INRES Pflanzenzüchtung, Rheinische Friedrich-Wilhelms-University, Bonn, Germany
| | | | | | | | - Jens Léon
- INRES Pflanzenzüchtung, Rheinische Friedrich-Wilhelms-University, Bonn, Germany
- Field Lab Campus Klein-Altendorf, University of Bonn, Rheinbach, Germany
| | - Agim Ballvora
- INRES Pflanzenzüchtung, Rheinische Friedrich-Wilhelms-University, Bonn, Germany
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Basu U, Parida SK. Restructuring plant types for developing tailor-made crops. PLANT BIOTECHNOLOGY JOURNAL 2023; 21:1106-1122. [PMID: 34260135 DOI: 10.1111/pbi.13666] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 07/08/2021] [Accepted: 07/12/2021] [Indexed: 05/27/2023]
Abstract
Plants have adapted to different environmental niches by fine-tuning the developmental factors working together to regulate traits. Variations in the developmental factors result in a wide range of quantitative variations in these traits that helped plants survive better. The major developmental pathways affecting plant architecture are also under the control of such pathways. Most notable are the CLAVATA-WUSCHEL pathway regulating shoot apical meristem fate, GID1-DELLA module influencing plant height and tillering, LAZY1-TAC1 module controlling branch/tiller angle and the TFL1-FT determining the floral fate in plants. Allelic variants of these key regulators selected during domestication shaped the crops the way we know them today. There is immense yield potential in the 'ideal plant architecture' of a crop. With the available genome-editing techniques, possibilities are not restricted to naturally occurring variations. Using a transient reprogramming system, one can screen the effect of several developmental gene expressions in novel ecosystems to identify the best targets. We can use the plant's fine-tuning mechanism for customizing crops to specific environments. The process of crop domestication can be accelerated with a proper understanding of these developmental pathways. It is time to step forward towards the next-generation molecular breeding for restructuring plant types in crops ensuring yield stability.
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Affiliation(s)
- Udita Basu
- Genomics-Assisted Breeding and Crop Improvement Laboratory, National Institute of Plant Genome Research (NIPGR), New Delhi, India
| | - Swarup K Parida
- Genomics-Assisted Breeding and Crop Improvement Laboratory, National Institute of Plant Genome Research (NIPGR), New Delhi, India
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Chen L, Xu Z, Fan X, Zhou Q, Yu Q, Liu X, Liao S, Jiang C, Lin D, Ma F, Feng B, Wang T. Genetic dissection of quantitative trait loci for flag leaf size in bread wheat ( Triticum aestivum L.). FRONTIERS IN PLANT SCIENCE 2022; 13:1047899. [PMID: 36600920 PMCID: PMC9807109 DOI: 10.3389/fpls.2022.1047899] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 11/21/2022] [Indexed: 06/17/2023]
Abstract
Flag leaf size is a crucial trait influencing plant architecture and yield potential in wheat. A recombinant inbred line (RIL) population derived from the cross of W7268 and Chuanyu 12 was employed to identify quantitative trait loci (QTL) controlling flag leaf length (FLL), flag leaf width (FLW), and flag leaf area (FLA) in six environments and the best linear unbiased estimator (BLUE) datasets. Using a 55 K SNP-based genetic map, six major and stable QTL were detected with 6.33-53.12% of explained phenotypic variation. Except for QFlw.cib-4B.3, the other five major QTL were co-located within two intervals on chromosomes 2B and 2D, namely QFll/Fla.cib-2B and QFll/Flw/Fla.cib-2D, respectively. Their interactions and effects on the corresponding traits and yield-related traits were also assessed based on flanking markers. QFll/Fla.cib-2B showed pleiotropic effects on spikelet number per spike (SNS). QFlw.cib-4B.3 and QFll/Flw/Fla.cib-2D had effects on grain number per spike (GNS) and thousand-grain weight (TGW). Comparison analysis suggested that QFll/Fla.cib-2B was likely a new locus. Two candidate genes, TraesCS2B03G0222800 and TraesCS2B03G0230000, associated with leaf development within the interval of QFll/Fla.cib-2B were identified based on expression-pattern analysis, gene annotation, ortholog analysis, and sequence variation. The major QTL and markers reported here provide valuable information for understanding the genetic mechanism underlying flag leaf size as well as breeding utilization in wheat.
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Affiliation(s)
- Liangen Chen
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Zhibin Xu
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Xiaoli Fan
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Qiang Zhou
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Qin Yu
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xiaofeng Liu
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Simin Liao
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Cheng Jiang
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Dian Lin
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Fang Ma
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Bo Feng
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Tao Wang
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
- The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
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A Flashforward Look into Solutions for Fruit and Vegetable Production. Genes (Basel) 2022; 13:genes13101886. [PMID: 36292770 PMCID: PMC9602186 DOI: 10.3390/genes13101886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 09/26/2022] [Accepted: 10/13/2022] [Indexed: 12/02/2022] Open
Abstract
One of the most important challenges facing current and future generations is how climate change and continuous population growth adversely affect food security. To address this, the food system needs a complete transformation where more is produced in non-optimal and space-limited areas while reducing negative environmental impacts. Fruits and vegetables, essential for human health, are high-value-added crops, which are grown in both greenhouses and open field environments. Here, we review potential practices to reduce the impact of climate variation and ecosystem damages on fruit and vegetable crop yield, as well as highlight current bottlenecks for indoor and outdoor agrosystems. To obtain sustainability, high-tech greenhouses are increasingly important and biotechnological means are becoming instrumental in designing the crops of tomorrow. We discuss key traits that need to be studied to improve agrosystem sustainability and fruit yield.
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Ingvordsen CH, Hendriks PW, Smith DJ, Bechaz KM, Rebetzke GJ. Seedling and field assessment of wheat (Triticum aestivum L.) dwarfing genes and their influence on root traits in multiple genetic backgrounds. JOURNAL OF EXPERIMENTAL BOTANY 2022; 73:6292-6306. [PMID: 35802045 PMCID: PMC9578352 DOI: 10.1093/jxb/erac306] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 07/07/2022] [Indexed: 06/15/2023]
Abstract
Deployment of the Rht-B1b and Rht-D1b dwarfing genes helped facilitate the Green Revolution to increase wheat yields globally. Much is known of the influence of these genes on plant height and agronomic performance, but not of their effects on root architecture. We assessed 29 near-isogenic lines (NILs) representing 11 Green Revolution and alternative dwarfing genes across multiple genetic backgrounds for root architecture characteristics in controlled and field environments. Genetic background did not influence plant height, but had a small and significant (P<0.05) effect on root architecture. All dwarfing gene NILs were significantly (P<0.01) shorter compared with tall controls. The Green Revolution Rht-B1b and Rht-D1b sometimes had longer seedling roots but were not different from their respective tall controls for root depth in the field. The Rht8, Rht12, and Rht18 dwarfing gene NILs produced long seminal roots in seedling pouches, and a greater maximum rooting depth (MRD) and root penetration rate (RPR) in the field. Genotypic increases in MRD and RPR were strongly correlated with increased harvest index and grain yield, particularly in dry environments. Careful root phenotyping highlights the potential of novel dwarfing genes for wheat genetic improvement under water-limited conditions.
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Affiliation(s)
| | - Pieter-Willem Hendriks
- CSIRO, Agriculture and Food, Canberra ACTAustralia
- Charles Sturt University, School of Agriculture and Wine Sciences, Wagga-Wagga NSWAustralia
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Geyer M, Mohler V, Hartl L. Genetics of the Inverse Relationship between Grain Yield and Grain Protein Content in Common Wheat. PLANTS 2022; 11:plants11162146. [PMID: 36015449 PMCID: PMC9413592 DOI: 10.3390/plants11162146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 08/05/2022] [Accepted: 08/16/2022] [Indexed: 12/01/2022]
Abstract
Grain protein content (GPC) is one of the most important criteria to determine the quality of common wheat (Triticum aestivum). One of the major obstacles for bread wheat production is the negative correlation between GPC and grain yield (GY). Previous studies demonstrated that the deviation from this inverse relationship is highly heritable. However, little is known about the genetics controlling these deviations in common wheat. To fill this gap, we performed quantitative trait locus (QTL) analysis for GY, GPC, and four derived GY-GPC indices using an eight-way multiparent advanced generation intercross population comprising 394 lines. Interval mapping was conducted using phenotypic data from up to nine environments and genotypic data from a 20k single-nucleotide polymorphism array. The four indices were highly heritable (0.76–0.88) and showed distinct correlations to GY and GPC. Interval mapping revealed that GY, GPC, and GY-GPC indices were controlled by 6, 12, and 12 unique QTL, of which each explained only a small amount of phenotypic variance (R2 ≤ 10%). Ten of the 12 index QTL were independent of loci affecting GY and GPC. QTL regions harboured several candidate genes, including Rht-1, WAPO-A1, TaTEF-7A, and NRT2.6-7A. The study confirmed the usefulness of indices to mitigate the inverse GY-GPC relationship in breeding, though the selection method should reflect their polygenic inheritance.
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10
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Population structure, allelic variation at Rht-B1 and Ppd-A1 loci and its effects on agronomic traits in Argentinian durum wheat. Sci Rep 2022; 12:9629. [PMID: 35688907 PMCID: PMC9187632 DOI: 10.1038/s41598-022-13563-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 05/25/2022] [Indexed: 12/22/2022] Open
Abstract
Exploring the genetic variability in yield and yield-related traits is essential to continue improving genetic gains. Fifty-nine Argentinian durum wheat cultivars were analyzed for important agronomic traits in three field experiments. The collection was genotyped with 3565 genome-wide SNPs and functional markers in order to determine the allelic variation at Rht-B1 and Ppd-A1 genes. Population structure analyses revealed the presence of three main groups, composed by old, modern and genotypes with European or CIMMYT ancestry. The photoperiod sensitivity Ppd-A1b allele showed higher frequency (75%) than the insensitivity one Ppd-A1a (GS105). The semi-dwarfism Rht-B1b and the Ppd-A1a (GS105) alleles were associated with increases in harvest index and decreases in plant height, grain protein content and earlier heading date, although only the varieties carrying the Rht-B1 variants showed differences in grain yield. Out of the two main yield components, grain number per plant was affected by allelic variants at Rht-B1 and Ppd-A1 loci, while no differences were observed in thousand kernel weight. The increases in grain number per spike associated with Rht-B1b were attributed to a higher grain number per spikelet, whereas Ppd-A1a (GS105) was associated with higher grain number per spikelet, but also with lower spikelets per spike.
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Balla MY, Gorafi YSA, Kamal NM, Abdalla MGA, Tahir ISA, Tsujimoto H. Harnessing the diversity of wild emmer wheat for genetic improvement of durum wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:1671-1684. [PMID: 35257197 PMCID: PMC9110450 DOI: 10.1007/s00122-022-04062-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 02/12/2022] [Indexed: 05/02/2023]
Abstract
The multiple derivative lines (MDLs) characterized in this study offer a promising strategy for harnessing the diversity of wild emmer wheat for durum and bread wheat improvement. Crop domestication has diminished genetic diversity and reduced phenotypic plasticity and adaptation. Exploring the adaptive capacity of wild progenitors offer promising opportunities to improve crops. We developed a population of 178 BC1F6 durum wheat (Triticum turgidum ssp. durum) lines by crossing and backcrossing nine wild emmer wheat (T. turgidum ssp. dicoccoides) accessions with the common durum wheat cultivar 'Miki 3'. Here, we describe the development of this population, which we named as multiple derivative lines (MDLs), and demonstrated its suitability for durum wheat breeding. We genotyped the MDL population, the parents, and 43 Sudanese durum wheat cultivars on a Diversity Array Technology sequencing platform. We evaluated days to heading and plant height in Dongola (Sudan) and in Tottori (Japan). The physical map length of the MDL population was 9 939 Mb with an average of 1.4 SNP/Mb. The MDL population had greater diversity than the Sudanese cultivars. We found high gene exchange between the nine wild emmer accessions and the MDL population, indicating that the MDL captured most of the diversity in the wild emmer accessions. Genome-wide association analysis identified three loci for days to heading on chromosomes 1A and 5A in Dongola and one on chromosome 3B in Tottori. For plant height, common genomic loci were found on chromosomes 4A and 4B in both locations, and one genomic locus on chromosome 7B was found only in Dongola. The results revealed that the MDLs are an effective strategy towards harnessing wild emmer wheat diversity for wheat genetic improvement.
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Affiliation(s)
- Mohammed Yousif Balla
- United Graduate School of Agricultural Sciences, Tottori University, Tottori, 680-8553 Japan
| | - Yasir Serag Alnor Gorafi
- Arid Land Research Center, Tottori University, 1390 Hamasaka, Tottori, 680-0001 Japan
- Agricultural Research Corporation, P.O. Box 126, Wad Medani, Sudan
| | - Nasrein Mohamed Kamal
- Arid Land Research Center, Tottori University, 1390 Hamasaka, Tottori, 680-0001 Japan
- Agricultural Research Corporation, P.O. Box 126, Wad Medani, Sudan
| | | | | | - Hisashi Tsujimoto
- Arid Land Research Center, Tottori University, 1390 Hamasaka, Tottori, 680-0001 Japan
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12
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Nouraei S, Mia MS, Liu H, Turner NC, Yan G. Transcriptome Analyses of Near Isogenic Lines Reveal Putative Drought Tolerance Controlling Genes in Wheat. FRONTIERS IN PLANT SCIENCE 2022; 13:857829. [PMID: 35422827 PMCID: PMC9005202 DOI: 10.3389/fpls.2022.857829] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 02/24/2022] [Indexed: 05/08/2023]
Abstract
Drought stress, especially at the grain-filling stage, is a major constraint for wheat production. Drought tolerance is a complex trait controlled by a large array of genes and pathways. This study conducted gene expression profiling on two pairs of near-isogenic lines (NILs) for an important qDSI.4B.1 QTL conferring drought tolerance on the short arm of chromosome 4B in wheat. Analysis showed 1,614 genome-wide differentially expressed genes (DEGs) between the tolerant and susceptible isolines in both NIL pairs. Six common DEGs were found between NIL1 and NIL2 at both 7 and 14 days after stress induction, with two of them having single nucleotide polymorphism (SNP) variants. These six genes that were confirmed by quantitative real-time PCR (qRT-PCR) expression analysis are considered candidate genes for drought tolerance mediated by qDSI.4B.1 QTL with their main contributions to gene regulation, cell elongation, protein quality control, secondary metabolism, and hormone signaling. These six candidate genes and the highest number of DEGs and variants (SNPs/indels) were located between 49 and 137 Mbp of 4BS, making this interval the most probable location for the qDSI.4B.1 locus. Additionally, 765 and 84 DEGs were detected as responsive genes to drought stress in tolerant and susceptible isolines, respectively. According to gene ontology (GO), protein phosphorylation, oxidation reduction, and regulation of transcription were top biological processes involved in the drought response and tolerance. These results provide insights into stress responses regulated by the 4BS locus and have identified candidate genes and genetic markers that can be used for fine mapping of the qDSI.4B.1 locus and, ultimately, in wheat breeding programs for drought tolerance.
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Affiliation(s)
- Sina Nouraei
- UWA School of Agriculture and Environment, The University of Western Australia, Perth, WA, Australia
- The UWA Institute of Agriculture, The University of Western Australia, Perth, WA, Australia
| | - Md Sultan Mia
- The UWA Institute of Agriculture, The University of Western Australia, Perth, WA, Australia
- Department of Primary Industries and Regional Development, Northam, WA, Australia
| | - Hui Liu
- UWA School of Agriculture and Environment, The University of Western Australia, Perth, WA, Australia
- The UWA Institute of Agriculture, The University of Western Australia, Perth, WA, Australia
| | - Neil C. Turner
- UWA School of Agriculture and Environment, The University of Western Australia, Perth, WA, Australia
- The UWA Institute of Agriculture, The University of Western Australia, Perth, WA, Australia
| | - Guijun Yan
- UWA School of Agriculture and Environment, The University of Western Australia, Perth, WA, Australia
- The UWA Institute of Agriculture, The University of Western Australia, Perth, WA, Australia
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13
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Touzy G, Lafarge S, Redondo E, Lievin V, Decoopman X, Le Gouis J, Praud S. Identification of QTLs affecting post-anthesis heat stress responses in European bread wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:947-964. [PMID: 34984510 PMCID: PMC8942932 DOI: 10.1007/s00122-021-04008-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 11/23/2021] [Indexed: 05/27/2023]
Abstract
The response of a large panel of European elite wheat varieties to post-anthesis heat stress is influenced by 17 QTL linked to grain weight or the stay-green phenotype. Heat stress is a critical abiotic stress for winter bread wheat (Triticum aestivum L.) especially at the flowering and grain filling stages, limiting its growth and productivity in Europe and elsewhere. The breeding of new high-yield and stress-tolerant wheat varieties requires improved understanding of the physiological and genetic bases of heat tolerance. To identify genomic areas associated with plant and grain characteristics under heat stress, a panel of elite European wheat varieties (N = 199) was evaluated under controlled conditions in 2016 and 2017. A split-plot design was used to test the effects of high temperature for ten days after flowering. Flowering time, leaf chlorophyll content, the number of productive spikes, grain number, grain weight and grain size were measured, and the senescence process was modeled. Using genotyping data from a 280 K SNP chip, a genome-wide association study was carried out to test the main effect of each SNP and the effect of SNP × treatment interaction. Genotype × treatment interactions were mainly observed for grain traits measured on the main shoots and tillers. We identified 10 QTLs associated with the main effect of at least one trait and seven QTLs associated with the response to post-anthesis heat stress. Of these, two main QTLs associated with the heat tolerance of thousand-kernel weight were identified on chromosomes 4B and 6B. These QTLs will be useful for breeders to improve grain yield in environments where terminal heat stress is likely to occur.
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Affiliation(s)
- Gaëtan Touzy
- Arvalis-Institut du Végétal, Biopole Clermont Limagne, 63360, Saint-Beauzire, France
- Centre de Recherche de Chappes, Route d'Ennezat CS90216, 63720, Chappes, France
| | - Stéphane Lafarge
- Centre de Recherche de Chappes, Route d'Ennezat CS90216, 63720, Chappes, France
| | - Elise Redondo
- Centre de Recherche de Chappes, Route d'Ennezat CS90216, 63720, Chappes, France
| | - Vincent Lievin
- Centre de Recherche de Chappes, Route d'Ennezat CS90216, 63720, Chappes, France
| | - Xavier Decoopman
- Centre de Recherche de Chappes, Route d'Ennezat CS90216, 63720, Chappes, France
| | - Jacques Le Gouis
- UMR 1095 GDEC, INRAE, Université Clermont Auvergne, Clermont-Ferrand, France.
| | - Sébastien Praud
- Centre de Recherche de Chappes, Route d'Ennezat CS90216, 63720, Chappes, France
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14
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Wang Z, Zhao G, Yang Q, Gao L, Liu C, Ru Z, Wang D, Jia J, Cui D. Helitron and CACTA DNA transposons actively reshape the common bread wheat - AK58 genome. Genomics 2022; 114:110288. [DOI: 10.1016/j.ygeno.2022.110288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 12/01/2021] [Accepted: 01/31/2022] [Indexed: 11/04/2022]
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Semagn K, Iqbal M, Chen H, Perez-Lara E, Bemister DH, Xiang R, Zou J, Asif M, Kamran A, N'Diaye A, Randhawa H, Beres BL, Pozniak C, Spaner D. Physical mapping of QTL associated with agronomic and end-use quality traits in spring wheat under conventional and organic management systems. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:3699-3719. [PMID: 34333664 DOI: 10.1007/s00122-021-03923-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 07/20/2021] [Indexed: 06/13/2023]
Abstract
Using phenotypic data of four biparental spring wheat populations evaluated at multiple environments under two management systems, we discovered 152 QTL and 22 QTL hotspots, of which two QTL accounted for up to 37% and 58% of the phenotypic variance, consistently detected in all environments, and fell within genomic regions harboring known genes. Identification of the physical positions of quantitative trait loci (QTL) would be highly useful for developing functional markers and comparing QTL results across multiple independent studies. The objectives of the present study were to map and characterize QTL associated with nine agronomic and end-use quality traits (tillering ability, plant height, lodging, grain yield, grain protein content, thousand kernel weight, test weight, sedimentation volume, and falling number) in hard red spring wheat recombinant inbred lines (RILs) using the International Wheat Genome Sequencing Consortium (IWGSC) RefSeq v2.0 physical map. We evaluated a total of 698 RILs from four populations derived from crosses involving seven parents at 3-8 conventionally (high N) and organically (low N) managed field environments. Using the phenotypic data combined across all environments per management, and the physical map between 1058 and 6526 markers per population, we identified 152 QTL associated with the nine traits, of which 29 had moderate and 2 with major effects. Forty-nine of the 152 QTL mapped across 22 QTL hotspot regions with each region coincident to 2-6 traits. Some of the QTL hotspots were physically located close to known genes. QSv.dms-1A and QPht.dms-4B.1 individually explained up to 37% and 58% of the variation in sedimentation volume and plant height, respectively, and had very large LOD scores that varied from 19.0 to 35.7 and from 16.7 to 55.9, respectively. We consistently detected both QTL in the combined and all individual environments, laying solid ground for further characterization and possibly for cloning.
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Affiliation(s)
- Kassa Semagn
- Department of Agricultural, Food and Nutritional Science, 4-10 Agriculture-Forestry Centre, University of Alberta, Edmonton, AB, T6G 2P5, Canada
| | - Muhammad Iqbal
- Department of Agricultural, Food and Nutritional Science, 4-10 Agriculture-Forestry Centre, University of Alberta, Edmonton, AB, T6G 2P5, Canada
| | - Hua Chen
- Department of Agricultural, Food and Nutritional Science, 4-10 Agriculture-Forestry Centre, University of Alberta, Edmonton, AB, T6G 2P5, Canada
- Department of Agronomy, School of Life Science and Engineering, Southwest University of Science and Technology, 59 Qinglong Road, Mianyang, 621010, Sichuan, China
| | - Enid Perez-Lara
- Department of Agricultural, Food and Nutritional Science, 4-10 Agriculture-Forestry Centre, University of Alberta, Edmonton, AB, T6G 2P5, Canada
| | - Darcy H Bemister
- Department of Agricultural, Food and Nutritional Science, 4-10 Agriculture-Forestry Centre, University of Alberta, Edmonton, AB, T6G 2P5, Canada
| | - Rongrong Xiang
- Department of Agricultural, Food and Nutritional Science, 4-10 Agriculture-Forestry Centre, University of Alberta, Edmonton, AB, T6G 2P5, Canada
| | - Jun Zou
- Department of Agricultural, Food and Nutritional Science, 4-10 Agriculture-Forestry Centre, University of Alberta, Edmonton, AB, T6G 2P5, Canada
| | - Muhammad Asif
- Department of Agricultural, Food and Nutritional Science, 4-10 Agriculture-Forestry Centre, University of Alberta, Edmonton, AB, T6G 2P5, Canada
- Department of Agronomy, 2004 Throckmorton Plant Science Center, Kansas State University, Manhattan, KS, 66506, USA
- Heartland Plant Innovations, Kansas Wheat Innovation Center, 1990 Kimball Avenue, Manhattan, KS, 66502, USA
| | - Atif Kamran
- Department of Agricultural, Food and Nutritional Science, 4-10 Agriculture-Forestry Centre, University of Alberta, Edmonton, AB, T6G 2P5, Canada
- Department of Botany, Seed Centre, The University of Punjab, New Campus, Lahore, 54590, Pakistan
| | - Amidou N'Diaye
- Crop Development Centre and Department of Plant Sciences, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK, S7N 5A8, Canada
| | - Harpinder Randhawa
- Agriculture, and Agri-Food Canada, 5403-1st Avenue South, Lethbridge, AB, T1J 4B1, Canada
| | - Brian L Beres
- Agriculture, and Agri-Food Canada, 5403-1st Avenue South, Lethbridge, AB, T1J 4B1, Canada
| | - Curtis Pozniak
- Crop Development Centre and Department of Plant Sciences, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK, S7N 5A8, Canada
| | - Dean Spaner
- Department of Agricultural, Food and Nutritional Science, 4-10 Agriculture-Forestry Centre, University of Alberta, Edmonton, AB, T6G 2P5, Canada.
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16
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Salter WT, Shrestha A, Barbour MM. Open source 3D phenotyping of chickpea plant architecture across plant development. PLANT METHODS 2021; 17:95. [PMID: 34530876 PMCID: PMC8444385 DOI: 10.1186/s13007-021-00795-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2020] [Accepted: 08/30/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Being able to accurately assess the 3D architecture of plant canopies can allow us to better estimate plant productivity and improve our understanding of underlying plant processes. This is especially true if we can monitor these traits across plant development. Photogrammetry techniques, such as structure from motion, have been shown to provide accurate 3D reconstructions of monocot crop species such as wheat and rice, yet there has been little success reconstructing crop species with smaller leaves and more complex branching architectures, such as chickpea. RESULTS In this work, we developed a low-cost 3D scanner and used an open-source data processing pipeline to assess the 3D structure of individual chickpea plants. The imaging system we developed consists of a user programmable turntable and three cameras that automatically captures 120 images of each plant and offloads these to a computer for processing. The capture process takes 5-10 min for each plant and the majority of the reconstruction process on a Windows PC is automated. Plant height and total plant surface area were validated against "ground truth" measurements, producing R2 > 0.99 and a mean absolute percentage error < 10%. We demonstrate the ability to assess several important architectural traits, including canopy volume and projected area, and estimate relative growth rate in commercial chickpea cultivars and lines from local and international breeding collections. Detailed analysis of individual reconstructions also allowed us to investigate partitioning of plant surface area, and by proxy plant biomass. CONCLUSIONS Our results show that it is possible to use low-cost photogrammetry techniques to accurately reconstruct individual chickpea plants, a crop with a complex architecture consisting of many small leaves and a highly branching structure. We hope that our use of open-source software and low-cost hardware will encourage others to use this promising technique for more architecturally complex species.
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Affiliation(s)
- William T. Salter
- School of Life and Environmental Sciences, Sydney Institute of Agriculture, The University of Sydney, NSW 2570 Brownlow Hill, Australia
| | - Arjina Shrestha
- School of Life and Environmental Sciences, Sydney Institute of Agriculture, The University of Sydney, NSW 2570 Brownlow Hill, Australia
| | - Margaret M. Barbour
- School of Life and Environmental Sciences, Sydney Institute of Agriculture, The University of Sydney, NSW 2570 Brownlow Hill, Australia
- School of Science, University of Waikato, Hillcrest, Hamilton, 3216 New Zealand
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17
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Wolde GM, Schreiber M, Trautewig C, Himmelbach A, Sakuma S, Mascher M, Schnurbusch T. Genome-wide identification of loci modifying spike-branching in tetraploid wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:1925-1943. [PMID: 33961064 PMCID: PMC8263435 DOI: 10.1007/s00122-020-03743-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 11/27/2020] [Indexed: 05/03/2023]
Abstract
Genetic modification of spike architecture is essential for improving wheat yield. Newly identified loci for the 'Miracle wheat' phenotype on chromosomes 1AS and 2BS have significant effects on spike traits. The wheat (Triticum ssp.) inflorescence, also known as a spike, forms an unbranched inflorescence in which the inflorescence meristem generates axillary spikelet meristems (SMs) destined to become sessile spikelets. Previously, we identified the putatively causative mutation in the branched headt (bht) gene (TtBH-A1) of tetraploid wheat (T. turgidum convar. compositum (L.f.) Filat.) responsible for the loss of SM identity, converting the non-branching spike to a branched wheat spike. In the current study, we performed whole-genome quantitative trait loci (QTL) analysis using 146 recombinant inbred lines (RILs) derived from a cross between spike-branching wheat ('Miracle wheat') and an elite durum wheat cultivar showing broad phenotypic variation for spike architecture. Besides the previously found gene at the bht-A1 locus on the short arm of chromosome 2A, we also mapped two new modifier QTL for spike-branching on the short arm of chromosome 1A, termed bht-A2, and 2BS. Using biparental mapping population and GWAS in 302 diverse accessions, the 2BS locus was highly associated with coding sequence variation found at the homoeo-allele of TtBH-B1 (bht-B1). Thus, RILs that combined both bht-A1 and bht-B1 alleles showed additive genetic effects leading to increased penetrance and expressivity of the supernumerary spikelet and/or mini-spike formation.
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Affiliation(s)
- Gizaw M Wolde
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3, OT Gatersleben, 06466, Seeland, Germany.
- Department of Plant Sciences One Shields Avenue, University of California, Davis, CA, 95616, USA.
| | - Mona Schreiber
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3, OT Gatersleben, 06466, Seeland, Germany
| | - Corinna Trautewig
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3, OT Gatersleben, 06466, Seeland, Germany
| | - Axel Himmelbach
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3, OT Gatersleben, 06466, Seeland, Germany
| | - Shun Sakuma
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3, OT Gatersleben, 06466, Seeland, Germany
- Faculty of Agriculture, Tottori University, 4-101 Koyama-cho Minami, Tottori, 680-8553, Japan
| | - Martin Mascher
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3, OT Gatersleben, 06466, Seeland, Germany
| | - Thorsten Schnurbusch
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3, OT Gatersleben, 06466, Seeland, Germany.
- Faculty of Natural Sciences III, Institute of Agricultural and Nutritional Sciences, Martin Luther University Halle-Wittenberg, 06120, Halle, Germany.
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18
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Mohan A, Grant NP, Schillinger WF, Gill KS. Characterizing reduced height wheat mutants for traits affecting abiotic stress and photosynthesis during seedling growth. PHYSIOLOGIA PLANTARUM 2021; 172:233-246. [PMID: 33421138 DOI: 10.1111/ppl.13321] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 12/18/2020] [Indexed: 06/12/2023]
Abstract
Most high-yielding, semidwarf wheat (Triticum aestivum L.) grown around the world contains either Rht1 or Rht2 genes. The success of these high-yielding cultivars is greatest in the most productive farming environments but provide marginal benefits in less favorable growing conditions such as shallow soils and low-precipitation dryland farming. Further, growing evidence suggests semidwarf genes not only affect early seedling growth but limit grain yield, especially under abiotic stress conditions. There are 23 other reduced-height mutants reported in wheat, most of which have not been functionally characterized. We evaluated these mutants along with their parents for several traits affecting seedling emergence, early seedling growth, and photosynthetic efficiency. Two- to seven-fold differences in coleoptile length, first leaf length, root length, and root angle were observed among the genotypes. Most of the mutations had a positive effect on root length, while the root angle narrowed. Coleoptile and first leaf lengths were strongly correlated with emergence. A specialized deep planting experiment identified Rht5, Rht6, Rht8, and Rht13 with significantly improved seedling emergence compared to the parent. Among the mutants, Rht4, Rht19, and Rht12 ranked highest for photosynthetic traits while Rht9, Rht16, and Rht15 performed best for early seedling growth parameters. Considering all traits collectively, Rht15 showed the most promise for utilization in marginal environments followed by Rht19 and Rht16. These wheat mutants may be useful for deciphering the underlying molecular mechanisms of understudied traits and breeding programs in arid and semiarid regions where deep planting is practiced.
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Affiliation(s)
- Amita Mohan
- Department of Crop and Soil Sciences, Washington State University, Pullman, Washington, USA
- Department of Biology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Nathan P Grant
- Department of Crop and Soil Sciences, Washington State University, Pullman, Washington, USA
| | - William F Schillinger
- Department of Crop and Soil Sciences, Washington State University, Pullman, Washington, USA
| | - Kulvinder S Gill
- Department of Crop and Soil Sciences, Washington State University, Pullman, Washington, USA
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Chidzanga C, Fleury D, Baumann U, Mullan D, Watanabe S, Kalambettu P, Pontre R, Edwards J, Forrest K, Wong D, Langridge P, Chalmers K, Garcia M. Development of an Australian Bread Wheat Nested Association Mapping Population, a New Genetic Diversity Resource for Breeding under Dry and Hot Climates. Int J Mol Sci 2021; 22:4348. [PMID: 33919411 PMCID: PMC8122485 DOI: 10.3390/ijms22094348] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 04/16/2021] [Accepted: 04/20/2021] [Indexed: 12/20/2022] Open
Abstract
Genetic diversity, knowledge of the genetic architecture of the traits of interest and efficient means of transferring the desired genetic diversity into the relevant genetic background are prerequisites for plant breeding. Exotic germplasm is a rich source of genetic diversity; however, they harbor undesirable traits that limit their suitability for modern agriculture. Nested association mapping (NAM) populations are valuable genetic resources that enable incorporation of genetic diversity, dissection of complex traits and providing germplasm to breeding programs. We developed the OzNAM by crossing and backcrossing 73 diverse exotic parents to two Australian elite varieties Gladius and Scout. The NAM parents were genotyped using the iSelect wheat 90K Infinium SNP array, and the progeny were genotyped using a custom targeted genotyping-by-sequencing assay based on molecular inversion probes designed to target 12,179 SNPs chosen from the iSelect wheat 90K Infinium SNP array of the parents. In total, 3535 BC1F4:6 RILs from 125 families with 21 to 76 lines per family were genotyped and we found 4964 polymorphic and multi-allelic haplotype markers that spanned the whole genome. A subset of 530 lines from 28 families were evaluated in multi-environment trials over three years. To demonstrate the utility of the population in QTL mapping, we chose to map QTL for maturity and plant height using the RTM-GWAS approach and we identified novel and known QTL for maturity and plant height.
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Affiliation(s)
- Charity Chidzanga
- School of Agriculture, Food and Wine, The University of Adelaide, Glen Osmond, SA 5064, Australia; (C.C.); (D.F.); (U.B.); (S.W.); (P.K.); (P.L.); (K.C.)
- ARC Industrial Transformation Research Hub for Wheat in a Hot and Dry Climate, Waite Research Institute, The University of Adelaide, Glen Osmond, SA 5064, Australia; (D.M.); (J.E.)
| | - Delphine Fleury
- School of Agriculture, Food and Wine, The University of Adelaide, Glen Osmond, SA 5064, Australia; (C.C.); (D.F.); (U.B.); (S.W.); (P.K.); (P.L.); (K.C.)
- ARC Industrial Transformation Research Hub for Wheat in a Hot and Dry Climate, Waite Research Institute, The University of Adelaide, Glen Osmond, SA 5064, Australia; (D.M.); (J.E.)
| | - Ute Baumann
- School of Agriculture, Food and Wine, The University of Adelaide, Glen Osmond, SA 5064, Australia; (C.C.); (D.F.); (U.B.); (S.W.); (P.K.); (P.L.); (K.C.)
- ARC Industrial Transformation Research Hub for Wheat in a Hot and Dry Climate, Waite Research Institute, The University of Adelaide, Glen Osmond, SA 5064, Australia; (D.M.); (J.E.)
| | - Dan Mullan
- ARC Industrial Transformation Research Hub for Wheat in a Hot and Dry Climate, Waite Research Institute, The University of Adelaide, Glen Osmond, SA 5064, Australia; (D.M.); (J.E.)
- Intergrain 19 Ambitious Link, Bibra Lake, WA 6163, Australia;
| | - Sayuri Watanabe
- School of Agriculture, Food and Wine, The University of Adelaide, Glen Osmond, SA 5064, Australia; (C.C.); (D.F.); (U.B.); (S.W.); (P.K.); (P.L.); (K.C.)
- ARC Industrial Transformation Research Hub for Wheat in a Hot and Dry Climate, Waite Research Institute, The University of Adelaide, Glen Osmond, SA 5064, Australia; (D.M.); (J.E.)
| | - Priyanka Kalambettu
- School of Agriculture, Food and Wine, The University of Adelaide, Glen Osmond, SA 5064, Australia; (C.C.); (D.F.); (U.B.); (S.W.); (P.K.); (P.L.); (K.C.)
- ARC Industrial Transformation Research Hub for Wheat in a Hot and Dry Climate, Waite Research Institute, The University of Adelaide, Glen Osmond, SA 5064, Australia; (D.M.); (J.E.)
| | - Robert Pontre
- Intergrain 19 Ambitious Link, Bibra Lake, WA 6163, Australia;
| | - James Edwards
- ARC Industrial Transformation Research Hub for Wheat in a Hot and Dry Climate, Waite Research Institute, The University of Adelaide, Glen Osmond, SA 5064, Australia; (D.M.); (J.E.)
- Australian Grain Technologies, 20 Leitch Rd, Roseworthy, SA 5371, Australia
| | - Kerrie Forrest
- Genomics & Cell Sciences, Agriculture Victoria Research, Department of Jobs, Precincts and Regions, Agribio, 5 Ring Rd, Bundoora, VIC 3083, Australia; (K.F.); (D.W.)
| | - Debbie Wong
- Genomics & Cell Sciences, Agriculture Victoria Research, Department of Jobs, Precincts and Regions, Agribio, 5 Ring Rd, Bundoora, VIC 3083, Australia; (K.F.); (D.W.)
| | - Peter Langridge
- School of Agriculture, Food and Wine, The University of Adelaide, Glen Osmond, SA 5064, Australia; (C.C.); (D.F.); (U.B.); (S.W.); (P.K.); (P.L.); (K.C.)
| | - Ken Chalmers
- School of Agriculture, Food and Wine, The University of Adelaide, Glen Osmond, SA 5064, Australia; (C.C.); (D.F.); (U.B.); (S.W.); (P.K.); (P.L.); (K.C.)
| | - Melissa Garcia
- School of Agriculture, Food and Wine, The University of Adelaide, Glen Osmond, SA 5064, Australia; (C.C.); (D.F.); (U.B.); (S.W.); (P.K.); (P.L.); (K.C.)
- ARC Industrial Transformation Research Hub for Wheat in a Hot and Dry Climate, Waite Research Institute, The University of Adelaide, Glen Osmond, SA 5064, Australia; (D.M.); (J.E.)
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20
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Shimizu KK, Copetti D, Okada M, Wicker T, Tameshige T, Hatakeyama M, Shimizu-Inatsugi R, Aquino C, Nishimura K, Kobayashi F, Murata K, Kuo T, Delorean E, Poland J, Haberer G, Spannagl M, Mayer KFX, Gutierrez-Gonzalez J, Muehlbauer GJ, Monat C, Himmelbach A, Padmarasu S, Mascher M, Walkowiak S, Nakazaki T, Ban T, Kawaura K, Tsuji H, Pozniak C, Stein N, Sese J, Nasuda S, Handa H. De Novo Genome Assembly of the Japanese Wheat Cultivar Norin 61 Highlights Functional Variation in Flowering Time and Fusarium-Resistant Genes in East Asian Genotypes. PLANT & CELL PHYSIOLOGY 2021; 62:8-27. [PMID: 33244607 PMCID: PMC7991897 DOI: 10.1093/pcp/pcaa152] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 11/22/2020] [Indexed: 05/08/2023]
Abstract
Bread wheat is a major crop that has long been the focus of basic and breeding research. Assembly of its genome has been difficult because of its large size and allohexaploid nature (AABBDD genome). Following the first reported assembly of the genome of the experimental strain Chinese Spring (CS), the 10+ Wheat Genomes Project was launched to produce multiple assemblies of worldwide modern cultivars. The only Asian cultivar in the project is Norin 61, a representative Japanese cultivar adapted to grow across a broad latitudinal range, mostly characterized by a wet climate and a short growing season. Here, we characterize the key aspects of its chromosome-scale genome assembly spanning 15 Gb with a raw scaffold N50 of 22 Mb. Analysis of the repetitive elements identified chromosomal regions unique to Norin 61 that encompass a tandem array of the pathogenesis-related 13 family. We report novel copy-number variations in the B homeolog of the florigen gene FT1/VRN3, pseudogenization of its D homeolog and the association of its A homeologous alleles with the spring/winter growth habit. Furthermore, the Norin 61 genome carries typical East Asian functional variants different from CS, ranging from a single nucleotide to multi-Mb scale. Examples of such variation are the Fhb1 locus, which confers Fusarium head-blight resistance, Ppd-D1a, which confers early flowering, Glu-D1f for Asian noodle quality and Rht-D1b, which introduced semi-dwarfism during the green revolution. The adoption of Norin 61 as a reference assembly for functional and evolutionary studies will enable comprehensive characterization of the underexploited Asian bread wheat diversity.
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Affiliation(s)
- Kentaro K Shimizu
- Kihara Institute for Biological Research, Yokohama City University, Yokohama, Japan
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland
| | - Dario Copetti
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland
- Department of Environmental Systems Science, Molecular Plant Breeding, Institute of Agricultural Sciences, ETH Zurich, Zurich, Switzerland
| | - Moeko Okada
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland
| | - Thomas Wicker
- Department of Plant and Microbial Biology, University of Zurich, Zurich, Switzerland
| | - Toshiaki Tameshige
- Kihara Institute for Biological Research, Yokohama City University, Yokohama, Japan
- Department of Biology, Faculty of Science, Niigata University, Niigata, Japan
| | - Masaomi Hatakeyama
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland
- Functional Genomics Center Zurich, Zurich, Switzerland
| | - Rie Shimizu-Inatsugi
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland
| | | | - Kazusa Nishimura
- Graduate School of Agriculture, Kyoto University, Kizugawa, Japan
| | - Fuminori Kobayashi
- Division of Basic Research, Institute of Crop Science, NARO, Tsukuba, Japan
| | - Kazuki Murata
- Graduate School of Agriculture, Kyoto University, Kyoto, Japan
| | - Tony Kuo
- National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan
- University of Guelph, Centre for Biodiversity Genomics, Guelph, ON, Canada
| | - Emily Delorean
- Department of Plant Pathology, Kansas State University, Manhattan, KS, USA
| | - Jesse Poland
- Department of Plant Pathology, Kansas State University, Manhattan, KS, USA
| | - Georg Haberer
- Helmholtz Zentrum München—Research Center for Environmental Health, Neuherberg, Germany
| | - Manuel Spannagl
- Helmholtz Zentrum München—Research Center for Environmental Health, Neuherberg, Germany
| | - Klaus F X Mayer
- Helmholtz Zentrum München—Research Center for Environmental Health, Neuherberg, Germany
- School of Life Sciences, Technical University Munich, Weihenstephan, Germany
| | | | - Gary J Muehlbauer
- Department of Agronomy and Plant Genetics, University of Minnesota, Saint Paul, MN, USA
| | - Cecile Monat
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland, Germany
| | - Axel Himmelbach
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland, Germany
| | - Sudharsan Padmarasu
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland, Germany
| | - Martin Mascher
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland, Germany
| | - Sean Walkowiak
- Crop Development Centre, University of Saskatchewan, Saskatoon, SK, Canada
- Canadian Grain Commission, Grain Research Laboratory, Winnipeg, MB, Canada
| | - Tetsuya Nakazaki
- Graduate School of Agriculture, Kyoto University, Kizugawa, Japan
| | - Tomohiro Ban
- Kihara Institute for Biological Research, Yokohama City University, Yokohama, Japan
| | - Kanako Kawaura
- Kihara Institute for Biological Research, Yokohama City University, Yokohama, Japan
| | - Hiroyuki Tsuji
- Kihara Institute for Biological Research, Yokohama City University, Yokohama, Japan
| | - Curtis Pozniak
- Crop Development Centre, University of Saskatchewan, Saskatoon, SK, Canada
| | - Nils Stein
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland, Germany
- Department of Crop Science, Center of Integrated Breeding Research (CiBreed), Georg-August-University, Göttingen, Germany
| | - Jun Sese
- National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan
- Humanome Lab, Inc, Tokyo, Japan
| | - Shuhei Nasuda
- Graduate School of Agriculture, Kyoto University, Kyoto, Japan
| | - Hirokazu Handa
- Division of Basic Research, Institute of Crop Science, NARO, Tsukuba, Japan
- Laboratoty of Plant Breeding, Graduate School of Life and Environmental Sciences, Kyoto Prefectural University, Kyoto, Japan
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21
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Sukhikh IS, Vavilova VJ, Blinov AG, Goncharov NP. Diversity and Phenotypical Effect of Allelic Variants of Rht Dwarfing Genes in Wheat. RUSS J GENET+ 2021. [DOI: 10.1134/s1022795421020101] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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22
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Jones BH, Blake NK, Heo HY, Martin JM, Torrion JA, Talbert LE. Allelic response of yield component traits to resource availability in spring wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:603-620. [PMID: 33146737 DOI: 10.1007/s00122-020-03717-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Accepted: 10/26/2020] [Indexed: 05/14/2023]
Abstract
Investigation of resource availability on allele effects for four yield component quantitative trait loci provides guidance for the improvement of grain yield in high and low yielding environments. A greater understanding of grain yield (GY) and yield component traits in spring wheat may increase selection efficiency for improved GY in high and low yielding environments. The objective of this study was to determine allelic response of four yield component quantitative trait loci (QTL) to variable resource levels which were manipulated by varying intraspecific plant competition and seeding density. The four QTL investigated in this study had been previously identified as impacting specific yield components. They included QTn.mst-6B for productive tiller number (PTN), WAPO-A1 for spikelet number per spike (SNS), and QGw.mst-3B and TaGW2-A1 for kernel weight (KWT). Near-isogenic lines for each of the four QTL were grown in multiple locations with three competition (border, no-border and space-planted) and two seeding densities (normal 216 seeds m-2 and low 76 seeds m-2). Allele response at QTn.mst-6B was driven by changes in resource availability, whereas allele response at WAPO-A1 and TaGW2-A1 was relatively unaffected by resource availability. The QTn.mst-6B.1 allele at QTn.mst-6B conferred PTN plasticity resulting in significant GY increases in high resource environments. The gw2-A1 allele at TaGW2-A1 significantly increased KWT, SNS and GPC offering a source of GY improvement without negatively impacting end-use quality. QGw.mst-3B allelic variation did not significantly impact KWT but did significantly impact SPS. Treatment effects in both experiments often resulted in significant positive impacts on GY and yield component traits when resource availability was increased. Results provide guidance for leveraging yield component QTL to improve GY performance in high- and low-yield environments.
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Affiliation(s)
- Brittney H Jones
- Department of Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT, 59717, USA.
| | - Nancy K Blake
- Department of Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT, 59717, USA
| | - Hwa-Young Heo
- Department of Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT, 59717, USA
| | - John M Martin
- Department of Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT, 59717, USA
| | - Jessica A Torrion
- Northwestern Agricultural Research Center, Montana State University, Kalispell, MT, 59901, USA
| | - Luther E Talbert
- Department of Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT, 59717, USA.
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23
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Li C, Tang H, Luo W, Zhang X, Mu Y, Deng M, Liu Y, Jiang Q, Chen G, Wang J, Qi P, Pu Z, Jiang Y, Wei Y, Zheng Y, Lan X, Ma J. A novel, validated, and plant height-independent QTL for spike extension length is associated with yield-related traits in wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:3381-3393. [PMID: 32870326 DOI: 10.1007/s00122-020-03675-0] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 08/21/2020] [Indexed: 05/24/2023]
Abstract
A novel, stably expressed, and plant height-independent QTL for spike extension length on 5AS was identified and validated in different populations using a newly developed and tightly linked KASP marker. As an important component of plant height (PH), spike extension length (SEL) plays a significant role in formation of an ideotype in wheat. Despite the fact that numerous loci for SEL in wheat have been reported, our knowledge on PH-independent loci remains to be limited. In this study, two recombinant inbred line (RIL) populations genotyped using the Wheat55K SNP were used to detect quantitative trait loci (QTL) controlling SEL across six environments. A total of 30 QTL for SEL were detected in these two RIL populations, and four of them, i.e., QSEL.sicau-2CN-4D, QSEL.sicau-2SY-4B.2, QSEL.sicau-2SY-4D.1, and QSEL.sicau-2CN-5A, were stably expressed. Genetic and conditional QTL analysis showed that the first three were significantly associated with PH, while the last one, QSEL.sicau-2CN-5A, is independent of PH. Comparison of genetic and physical maps suggested that only QSEL.sicau-2CN-5A located on chromosome arm 5AS is likely a novel QTL. A Kompetitive Allele-Specific PCR (KASP) marker, KASP-AX-110413733, tightly linked to this novel QTL was developed to successfully confirm its effect in three different genetic populations. Further, in the interval where QSEL.sicau-2CN-5A was located on 'Chinese Spring' wheat reference genome, three promising genes mainly expressed in wheat stem were predicated and they all encode the cytochrome P450 that was demonstrated to be closely associated with SEL elongation in rice. In addition, significant correlations between SEL and PH, spikelet number per spike, and thousand-grain weight were also detected. Altogether, our results broaden our understanding on genetic basis of SEL and will be useful for marker-based selection of lines with different SELs and fine mapping the novel and PH-independent QTL QSEL.sicau-2CN-5A.
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Affiliation(s)
- Cong Li
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Huaping Tang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Wei Luo
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Xuemei Zhang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Yang Mu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Mei Deng
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Yaxi Liu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Qiantao Jiang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Guoyue Chen
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Jirui Wang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Pengfei Qi
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Zhien Pu
- College of Agronomy, Sichuan Agricultural University, Chengdu, China
| | - Yunfeng Jiang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Yuming Wei
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Youliang Zheng
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Xiujin Lan
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China.
| | - Jian Ma
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China.
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24
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Agarwal P, Balyan HS, Gupta PK. Identification of modifiers of the plant height in wheat using an induced dwarf mutant controlled by RhtB4c allele. PHYSIOLOGY AND MOLECULAR BIOLOGY OF PLANTS : AN INTERNATIONAL JOURNAL OF FUNCTIONAL PLANT BIOLOGY 2020; 26:2283-2289. [PMID: 33268929 PMCID: PMC7688886 DOI: 10.1007/s12298-020-00904-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 09/29/2020] [Accepted: 10/19/2020] [Indexed: 06/12/2023]
Abstract
In wheat, 25 Rht genes for dwarfness are known, which include both, GA-insensitive and GA-responsive genes. The GA-insensitive Rht genes have been widely used, although, their suitability under abiotic stress conditions has been questioned. This necessitated a search for alternative GA-responsive, spontaneous and induced dwarfing genes. We earlier reported an induced dwarf mutant ('dwarf mutant-3'; 44 cm), and the mutant allele was named Rht4c allele (2BL). This dwarf mutant was not suitable for cultivation due to its extra dwarf nature. Therefore, we searched for naturally occurring QTLs, which would modify the phenotype of 'dwarf-mutant-3' using 'mutant-assisted gene identification and characterization' (MAGIC) approach. For this purpose, the 'dwarf mutant-3' was crossed with a tall wheat cv. NP114 and homozygous mutant F2 plants (~ 25% of the progeny) were selected, which were phenotyped for plant height and genotyped using SSR markers. The data were utilized for QTL analysis and plant height. Six modifier QTLs were identified on chromosomes 2A, 2B and 4A. Two QTLs each on 2A and 2B were responsible for increase in plant height (described as 'enhancer modifiers'), whereas the remaining two QTLs located on 4A were responsible for reducing the plant height (described as 'suppressor modifiers'). It was hypothesized that the enhancer QTLs could be exploited for the development of semi-dwarf high yielding genotypes containing Rht4c allele. This is the first study of its kind in wheat demontsrating that the MAGIC approach could be used for identification of modifiers of the mutant phenotypes of other traits for wheat improvement.
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Affiliation(s)
- Priyanka Agarwal
- Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, 250004 India
| | - H. S. Balyan
- Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, 250004 India
| | - P. K. Gupta
- Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, 250004 India
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25
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Jatayev S, Sukhikh I, Vavilova V, Smolenskaya SE, Goncharov NP, Kurishbayev A, Zotova L, Absattarova A, Serikbay D, Hu YG, Borisjuk N, Gupta NK, Jacobs B, de Groot S, Koekemoer F, Alharthi B, Lethola K, Cu DT, Schramm C, Anderson P, Jenkins CLD, Soole KL, Shavrukov Y, Langridge P. Green revolution 'stumbles' in a dry environment: Dwarf wheat with Rht genes fails to produce higher grain yield than taller plants under drought. PLANT, CELL & ENVIRONMENT 2020; 43:2355-2364. [PMID: 32515827 DOI: 10.1111/pce.13819] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Accepted: 06/03/2020] [Indexed: 06/11/2023]
Affiliation(s)
- Satyvaldy Jatayev
- Faculty of Agronomy, S. Seifullin Kazakh Agro-Technical University, Nur-Sultan, Kazakhstan
| | - Igor Sukhikh
- Institute of Cytology and Genetics, Russian Academy of Sciences, Siberian Branch, Novosibirsk, Russia
| | - Valeriya Vavilova
- Institute of Cytology and Genetics, Russian Academy of Sciences, Siberian Branch, Novosibirsk, Russia
| | - Svetlana E Smolenskaya
- Institute of Cytology and Genetics, Russian Academy of Sciences, Siberian Branch, Novosibirsk, Russia
| | - Nikolay P Goncharov
- Institute of Cytology and Genetics, Russian Academy of Sciences, Siberian Branch, Novosibirsk, Russia
| | - Akhylbek Kurishbayev
- Faculty of Agronomy, S. Seifullin Kazakh Agro-Technical University, Nur-Sultan, Kazakhstan
| | - Lyudmila Zotova
- Faculty of Agronomy, S. Seifullin Kazakh Agro-Technical University, Nur-Sultan, Kazakhstan
| | - Aiman Absattarova
- Faculty of Agronomy, S. Seifullin Kazakh Agro-Technical University, Nur-Sultan, Kazakhstan
| | - Dauren Serikbay
- Faculty of Agronomy, S. Seifullin Kazakh Agro-Technical University, Nur-Sultan, Kazakhstan
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, China
| | - Yin-Gang Hu
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, China
| | - Nikolai Borisjuk
- School of Life Science, Huaian Normal University, Huai'an, China
| | | | - Bertus Jacobs
- LongReach Plant Breeders Management Pty Ltd, Lonsdale, South Australia, Australia
| | | | | | - Badr Alharthi
- College of Science and Engineering (Biological Sciences), Flinders University, Bedford Park, South Australia, Australia
| | - Katso Lethola
- College of Science and Engineering (Biological Sciences), Flinders University, Bedford Park, South Australia, Australia
| | - Dan T Cu
- College of Science and Engineering (Biological Sciences), Flinders University, Bedford Park, South Australia, Australia
| | - Carly Schramm
- College of Science and Engineering (Biological Sciences), Flinders University, Bedford Park, South Australia, Australia
| | - Peter Anderson
- College of Science and Engineering (Biological Sciences), Flinders University, Bedford Park, South Australia, Australia
| | - Colin L D Jenkins
- College of Science and Engineering (Biological Sciences), Flinders University, Bedford Park, South Australia, Australia
| | - Kathleen L Soole
- College of Science and Engineering (Biological Sciences), Flinders University, Bedford Park, South Australia, Australia
| | - Yuri Shavrukov
- College of Science and Engineering (Biological Sciences), Flinders University, Bedford Park, South Australia, Australia
| | - Peter Langridge
- Wheat Initiative, Julius-Kühn-Institute, Berlin, Germany
- University of Adelaide, Urrbrae, South Australia, Australia
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26
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Guan P, Shen X, Mu Q, Wang Y, Wang X, Chen Y, Zhao Y, Chen X, Zhao A, Mao W, Guo Y, Xin M, Hu Z, Yao Y, Ni Z, Sun Q, Peng H. Dissection and validation of a QTL cluster linked to Rht-B1 locus controlling grain weight in common wheat (Triticum aestivum L.) using near-isogenic lines. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:2639-2653. [PMID: 32488301 DOI: 10.1007/s00122-020-03622-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2019] [Accepted: 05/22/2020] [Indexed: 05/23/2023]
Abstract
This study dissected and validated a QTL cluster associated with thousand grain weight on chromosome 4B using multiple near-isogenic lines in common wheat. Grain size and weight are crucial components of wheat yield. Previously, we identified a QTL cluster for thousand grain weight (TGW) on chromosome 4B using the Nongda3338 (ND3338)/Jingdong6 (JD6) doubled haploid population. Here, near-isogenic lines (NILs) in the ND3338 background were developed to dissect and validate the QTL cluster. Based on six independent BC3F3:4 heterogeneous inbred families, the 4B QTL cluster was divided into two linked QTL intervals (designated 4B.1 and 4B.2 QTL). For the 4B.1 QTL, the Rht-B1 gene, of which Rht-B1b allele reduces plant height (PH) by 21.18-29.34 cm (34.34-53.71%), was demonstrated to be the most likely candidate gene with pleiotropic effects on grain size and TGW. For the 4B.2 QTL, the NILJD6 consistently showed an increase in TGW of 3.51-7.68 g (8.84-22.77%) compared with NILND3338 across different field trials, along with a significant increase in PH of 2.26-6.71 cm (3.92-12.01%). Moreover, both QTL intervals had a larger effect on grain width than on grain length. Additionally, the first significant difference in 100-grain fresh weight and 100-grain dry weight between the NIL pairs of the 4B.1 QTL interval (Rht-B1) was observed at 6 days after pollination (DAP), while the differences were first visible at 30 DAP for the 4B.2 QTL interval. Collectively, our work provides a new example of QTL dissection for grain weight in wheat and lays a foundation for further map-based cloning of the major QTL that have potential applications in wheat molecular breeding for high yield.
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Affiliation(s)
- Panfeng Guan
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement/College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
- College of Biological Sciences, China Agricultural University, Beijing, 100193, China
| | - Xueyi Shen
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement/College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
| | - Qing Mu
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement/College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
| | - Yongfa Wang
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement/College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
| | - Xiaobo Wang
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement/College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
| | - Yongming Chen
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement/College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
| | - Yue Zhao
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement/College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
| | - Xiyong Chen
- Hebei Crop Genetic Breeding Laboratory, Institute of Cereal and Oil Crops of Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, 050035, China
| | - Aiju Zhao
- Hebei Crop Genetic Breeding Laboratory, Institute of Cereal and Oil Crops of Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, 050035, China
| | - Weiwei Mao
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement/College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
| | - Yiwen Guo
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement/College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
| | - Mingming Xin
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement/College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
| | - Zhaorong Hu
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement/College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
| | - Yingyin Yao
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement/College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
| | - Zhongfu Ni
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement/College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
| | - Qixin Sun
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement/College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
| | - Huiru Peng
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement/College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.
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Dixon LE, Pasquariello M, Boden SA. TEOSINTE BRANCHED1 regulates height and stem internode length in bread wheat. JOURNAL OF EXPERIMENTAL BOTANY 2020; 71:4742-4750. [PMID: 32449515 PMCID: PMC7410180 DOI: 10.1093/jxb/eraa252] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Accepted: 05/18/2020] [Indexed: 05/26/2023]
Abstract
Regulation of plant height and stem elongation has contributed significantly to improvement of cereal productivity by reducing lodging and improving distribution of assimilates to the inflorescence and grain. In wheat, genetic control of height has been largely contributed by the Reduced height-1 alleles that confer gibberellin insensitivity; the beneficial effects of these alleles are associated with less favourable effects involving seedling emergence, grain quality, and inflorescence architecture that have driven new research investigating genetic variation of stem growth. Here, we show that TEOSINTE BRANCHED1 (TB1) regulates height of wheat, with TB1 being expressed at low levels in nodes of the main culm prior to elongation, and increased dosage of TB1 restricting elongation of stem internodes. The effect of TB1 on stem growth is not accompanied by poor seedling emergence, as transgenic lines with increased activity of TB1 form longer coleoptiles than null transgenic controls. Analysis of height in a multiparent mapping population also showed that allelic variation for TB1 on the B genome influences height, with plants containing the variant TB-B1b allele being taller than those with the wild-type TB-B1a allele. Our results show that TB1 restricts height and stem elongation in wheat, suggesting that variant alleles that alter the expression or function of TB1 could be used as a new source of genetic diversity for optimizing architecture of wheat in breeding programmes.
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Affiliation(s)
- Laura E Dixon
- Department of Crop Genetics, John Innes Centre, Colney Lane, Norwich, UK
- School of Biology, Faculty of Biological Sciences, University of Leeds, Leeds, UK
| | | | - Scott A Boden
- Department of Crop Genetics, John Innes Centre, Colney Lane, Norwich, UK
- School of Agriculture, Food and Wine, Waite Research Institute, Waite Research Precinct, University of Adelaide, Glen Osmond, SA, Australia
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Teh CK, Ong AL, Mayes S, Massawe F, Appleton DR. Major QTLs for Trunk Height and Correlated Agronomic Traits Provide Insights into Multiple Trait Integration in Oil Palm Breeding. Genes (Basel) 2020; 11:genes11070826. [PMID: 32708151 PMCID: PMC7397176 DOI: 10.3390/genes11070826] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 06/16/2020] [Accepted: 06/16/2020] [Indexed: 11/26/2022] Open
Abstract
Superior oil yield is always the top priority of the oil palm industry. Short trunk height (THT) and compactness traits have become increasingly important to improve harvesting efficiency since the industry started to suffer yield losses due to labor shortages. Breeding populations with low THT and short frond length (FL) are actually available, such as Dumpy AVROS pisifera (DAV) and Gunung Melayu dura (GM). However, multiple trait stacking still remains a challenge for oil palm breeding, which usually requires 12–20 years to complete a breeding cycle. In this study, yield and height increment in the GM × GM (GM-3341) and the GM × DAV (GM-DAV-3461) crossing programs were evaluated and palms with good yield and smaller height increment were identified. In the GM-3341 family, non-linear THT growth between THT_2008 (seven years old) and THT_2014 (13 years old) was revealed by a moderate correlation, suggesting that inter-palm competition becomes increasingly important. In total, 19 quantitative trait loci (QTLs) for THT_2008 (8), oil per palm (O/P) (7) and FL (4) were localized on the GM-3341 linkage map, with an average mapping interval of 2.01 cM. Three major QTLs for THT_2008, O/P and FL are co-located on chromosome 11 and reflect the correlation of THT_2008 with O/P and FL. Multiple trait selection for high O/P and low THT (based on the cumulative effects of positive alleles per trait) identified one palm from 100 palms, but with a large starting population of 1000–1500 seedling per cross, this low frequency could be easily compensated for during breeding selection.
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Affiliation(s)
- Chee-Keng Teh
- Biotechnology & Breeding Department, Sime Darby Plantation R&D Centre, Serdang 43400, Selangor State, Malaysia; (A.-L.O.); (D.R.A.)
- School of Biosciences, University of Nottingham Malaysia, Semenyih 43500, Selangor State, Malaysia;
- Correspondence:
| | - Ai-Ling Ong
- Biotechnology & Breeding Department, Sime Darby Plantation R&D Centre, Serdang 43400, Selangor State, Malaysia; (A.-L.O.); (D.R.A.)
- School of Biosciences, University of Nottingham Malaysia, Semenyih 43500, Selangor State, Malaysia;
| | - Sean Mayes
- School of Biosciences, University of Nottingham, Sutton Bonington Campus, Leicestershire LE12 5RD, UK;
| | - Festo Massawe
- School of Biosciences, University of Nottingham Malaysia, Semenyih 43500, Selangor State, Malaysia;
| | - David Ross Appleton
- Biotechnology & Breeding Department, Sime Darby Plantation R&D Centre, Serdang 43400, Selangor State, Malaysia; (A.-L.O.); (D.R.A.)
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