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Vicentin L, Canales J, Calderini DF. The trade-off between grain weight and grain number in wheat is explained by the overlapping of the key phases determining these major yield components. FRONTIERS IN PLANT SCIENCE 2024; 15:1380429. [PMID: 38919825 PMCID: PMC11196766 DOI: 10.3389/fpls.2024.1380429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 05/20/2024] [Indexed: 06/27/2024]
Abstract
Enhancing grain yield is a primary goal in the cultivation of major staple crops, including wheat. Recent research has focused on identifying the physiological and molecular factors that influence grain weight, a critical determinant of crop yield. However, a bottleneck has arisen due to the trade-off between grain weight and grain number, whose underlying causes remain elusive. In a novel approach, a wheat expansin gene, TaExpA6, known for its expression in root tissues, was engineered to express in the grains of the spring wheat cultivar Fielder. This modification led to increases in both grain weight and yield without adversely affecting grain number. Conversely, a triple mutant line targeting the gene TaGW2, a known negative regulator of grain weight, resulted in increased grain weight but decreased grain number, potentially offsetting yield gains. This study aimed to evaluate the two aforementioned modified wheat genotypes (TaExpA6 and TaGW2) alongside their respective wild-type counterparts. Conducted in southern Chile, the study employed a Complete Randomized Block Design with four replications, under well-managed field conditions. The primary metrics assessed were grain yield, grain number, and average grain weight per spike, along with detailed measurements of grain weight and dimensions across the spike, ovary weight at pollination (Waddington's scale 10), and post-anthesis expression levels of TaExpA6 and TaGW2. Results indicated that both the TaExpA6 and the triple mutant lines achieved significantly higher average grain weights compared to their respective wild types. Notably, the TaExpA6 line did not exhibit a reduction in grain number, thereby enhancing grain yield per spike. By contrast, the triple mutant line showed a reduced grain number per spike, with no significant change in overall yield. TaExpA6 expression peaked at 10 days after anthesis (DAA), and its effect on grain weight over the WT became apparent after 15 DAA. In contrast, TaGW2 gene disruption in the triple mutant line increased ovary size at anthesis, leading to improved grain weight above the WT from the onset of grain filling. These findings suggest that the trade-off between grain weight and number could be attributed to the overlapping of the critical periods for the determination of these traits.
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Affiliation(s)
- Lucas Vicentin
- Graduate School, Faculty of Agricultural Science, Universidad Austral de Chile, Valdivia, Chile
- Institute of Plant Production and Protection, Universidad Austral de Chile, Valdivia, Chile
| | - Javier Canales
- Institute of Biochemistry and Microbiology, Universidad Austral de Chile, Valdivia, Chile
- National Agency for Research and Development of Chile-Millennium Science Initiative Program-Millennium Institute for Integrative Biology (iBio), Santiago, Chile
| | - Daniel F. Calderini
- Institute of Plant Production and Protection, Universidad Austral de Chile, Valdivia, Chile
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Kis A, Polgári D, Dalmadi Á, Ahmad I, Rakszegi M, Sági L, Csorba T, Havelda Z. Targeted mutations in the GW2.1 gene modulate grain traits and induce yield loss in barley. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2024; 340:111968. [PMID: 38157889 DOI: 10.1016/j.plantsci.2023.111968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 12/14/2023] [Accepted: 12/26/2023] [Indexed: 01/03/2024]
Abstract
Grain Width and Weight 2 (GW2) is an E3-ubiquitin ligase-encoding gene that negatively regulates the size and weight of the grain in cereal species. Therefore, disabling GW2 gene activity was suggested for enhancing crop productivity. We show here that CRISPR/Cas-mediated mutagenesis of the barley GW2.1 homologue results in the development of elongated grains and increased protein content. At the same time, GW2.1 loss of function induces a significant grain yield deficit caused by reduced spike numbers and low grain setting. We also show that the converse effect caused by GW2.1 absence on crop yield and protein content is largely independent of cultivation conditions. These findings indicate that the barley GW2.1 gene is necessary for the optimization between yield and grain traits. Altogether, our data show that the loss of GW2.1 gene activity in barley is associated with pleiotropic effects negatively affecting the development of generative organs and consequently the grain production. Our findings contribute to the better understanding of grain development and the utilisation of GW2.1 control in quantitative and qualitative genetic improvement of barley.
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Affiliation(s)
- András Kis
- Hungarian University of Agriculture and Life Sciences (MATE), Institute of Genetics and Biotechnology, Gödöllő, Hungary
| | - Dávid Polgári
- Hungarian University of Agriculture and Life Sciences (MATE), Institute of Genetics and Biotechnology, Gödöllő, Hungary; Agricultural Institute, Centre for Agricultural Research, Martonvásár, Hungary; Agribiotechnology and Precision Breeding for Food Security National Laboratory, Plant Biotechnology Section, Hungary
| | - Ágnes Dalmadi
- Hungarian University of Agriculture and Life Sciences (MATE), Institute of Genetics and Biotechnology, Gödöllő, Hungary; Agribiotechnology and Precision Breeding for Food Security National Laboratory, Plant Biotechnology Section, Hungary
| | - Imtiaz Ahmad
- Hungarian University of Agriculture and Life Sciences (MATE), Institute of Genetics and Biotechnology, Gödöllő, Hungary
| | - Marianna Rakszegi
- Agricultural Institute, Centre for Agricultural Research, Martonvásár, Hungary
| | - László Sági
- Agricultural Institute, Centre for Agricultural Research, Martonvásár, Hungary; Agribiotechnology and Precision Breeding for Food Security National Laboratory, Plant Biotechnology Section, Hungary
| | - Tibor Csorba
- Hungarian University of Agriculture and Life Sciences (MATE), Institute of Genetics and Biotechnology, Gödöllő, Hungary
| | - Zoltán Havelda
- Hungarian University of Agriculture and Life Sciences (MATE), Institute of Genetics and Biotechnology, Gödöllő, Hungary; Agribiotechnology and Precision Breeding for Food Security National Laboratory, Plant Biotechnology Section, Hungary.
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Li S, Zhang Y, Liu Y, Zhang P, Wang X, Chen B, Ding L, Nie Y, Li F, Ma Z, Kang Z, Mao H. The E3 ligase TaGW2 mediates transcription factor TaARR12 degradation to promote drought resistance in wheat. THE PLANT CELL 2024; 36:605-625. [PMID: 38079275 PMCID: PMC10896296 DOI: 10.1093/plcell/koad307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 11/07/2023] [Indexed: 02/27/2024]
Abstract
Drought stress limits crop yield, but the molecular modulators and their mechanisms underlying the trade-off between drought resistance and crop growth and development remain elusive. Here, a grain width and weight2 (GW2)-like really interesting new gene finger E3 ligase, TaGW2, was identified as a pivotal regulator of both kernel development and drought responses in wheat (Triticum aestivum). TaGW2 overexpression enhances drought resistance but leads to yield drag under full irrigation conditions. In contrast, TaGW2 knockdown or knockout attenuates drought resistance but remarkably increases kernel size and weight. Furthermore, TaGW2 directly interacts with and ubiquitinates the type-B Arabidopsis response regulator TaARR12, promoting its degradation via the 26S proteasome. Analysis of TaARR12 overexpression and knockdown lines indicated that TaARR12 represses the drought response but does not influence grain yield in wheat. Further DNA affinity purification sequencing combined with transcriptome analysis revealed that TaARR12 downregulates stress-responsive genes, especially group-A basic leucine zipper (bZIP) genes, resulting in impaired drought resistance. Notably, TaARR12 knockdown in the clustered regularly interspaced short palindromic repeat (CRISPR)/CRISPR-associated nuclease 9 (Cas9)-mediated tagw2 knockout mutant leads to significantly higher drought resistance and grain yield compared to wild-type plants. Collectively, these findings show that the TaGW2-TaARR12 regulatory module is essential for drought responses, providing a strategy for improving stress resistance in high-yield wheat varieties.
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Affiliation(s)
- Shumin Li
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yifang Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yuling Liu
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Peiyin Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Xuemin Wang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Bin Chen
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Li Ding
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yingxiong Nie
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Fangfang Li
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Zhenbing Ma
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Zhensheng Kang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
- Yangling Seed Industry Innovation Center, Yangling, Shaanxi 712100, China
| | - Hude Mao
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China
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Bi C, Wei C, Li J, Wen S, Zhao H, Yu J, Shi X, Zhang Y, Liu Q, Zhang Y, Li B, You M. A novel variation of TaGW2-6B increases grain weight without penalty in grain protein content in wheat ( Triticum aestivum L.). MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2024; 44:15. [PMID: 38362529 PMCID: PMC10864231 DOI: 10.1007/s11032-024-01455-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 01/23/2024] [Indexed: 02/17/2024]
Abstract
Yield and quality are two crucial breeding objects of wheat therein grain weight and grain protein content (GPC) are two key relevant factors correspondingly. Investigations of their genetic mechanisms represent special significance for breeding. In this study, 199 F2 plants and corresponding F2:3 families derived from Nongda3753 (ND3753) and its EMS-generated mutant 564 (M564) were used to investigate the genetic basis of larger grain and higher GPC of M564. QTL analysis identified a total of 33 environmentally stable QTLs related to thousand grain weight (TGW), grain area (GA), grain circle (GC), grain length (GL), grain width (GW), and GPC on chromosomes 1B, 2A, 2B, 4D, 6B, and 7D, respectively, among which QGw.cau-6B.1, QTgw.cau-6B.1, QGa.cau-6B.1, and QGc.cau-6B.1 shared overlap confidence interval on chromosome 6B. This interval contained the TaGW2 gene playing the same role as the QTLs, so TaGW2-6B was cloned and sequenced. Sequence alignment revealed two G/A SNPs between two parents, among which the SNP in the seventh exon led to a premature termination in M564. A KASP marker was developed based on the SNP, and single-marker analysis on biparental populations showed that the mutant allele could significantly increase GW and TGW, but had no effect on GPC. Distribution detection of the mutant allele through KASP marker genotyping and sequence alignment against databases ascertained that no materials harbored this allele within natural populations. This allele was subsequently introduced into three different varieties through molecular marker-assisted backcrossing, and it was revealed that the allele had a significant effect on simultaneously increasing GW, TGW, and even GPC in all of three backgrounds. Summing up the above, it could be concluded that a novel elite allele of TaGW2-6B was artificially created and might play an important role in wheat breeding for high yield and quality. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-024-01455-y.
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Affiliation(s)
- Chan Bi
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization, Ministry of Education, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193 China
| | - Chaoxiong Wei
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization, Ministry of Education, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193 China
| | - Jinghui Li
- Wheat Center, Henan Institute of Science and Technology, Henan Provincial Key Laboratory of Hybrid Wheat, Xinxiang, 453003 China
| | - Shaozhe Wen
- Department of Landscape and Garden, Yangzhou Polytechnic College, Yangzhou, 225009 China
| | - Huanhuan Zhao
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization, Ministry of Education, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193 China
| | - Jiazheng Yu
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization, Ministry of Education, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193 China
| | - Xintian Shi
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization, Ministry of Education, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193 China
| | - Yuan Zhang
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization, Ministry of Education, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193 China
| | - Qiaofeng Liu
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization, Ministry of Education, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193 China
| | - Yufeng Zhang
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization, Ministry of Education, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193 China
| | - Baoyun Li
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization, Ministry of Education, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193 China
| | - Mingshan You
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization, Ministry of Education, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193 China
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Gasparis S, Miłoszewski MM. Genetic Basis of Grain Size and Weight in Rice, Wheat, and Barley. Int J Mol Sci 2023; 24:16921. [PMID: 38069243 PMCID: PMC10706642 DOI: 10.3390/ijms242316921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 11/27/2023] [Accepted: 11/27/2023] [Indexed: 12/18/2023] Open
Abstract
Grain size is a key component of grain yield in cereals. It is a complex quantitative trait controlled by multiple genes. Grain size is determined via several factors in different plant development stages, beginning with early tillering, spikelet formation, and assimilates accumulation during the pre-anthesis phase, up to grain filling and maturation. Understanding the genetic and molecular mechanisms that control grain size is a prerequisite for improving grain yield potential. The last decade has brought significant progress in genomic studies of grain size control. Several genes underlying grain size and weight were identified and characterized in rice, which is a model plant for cereal crops. A molecular function analysis revealed most genes are involved in different cell signaling pathways, including phytohormone signaling, transcriptional regulation, ubiquitin-proteasome pathway, and other physiological processes. Compared to rice, the genetic background of grain size in other important cereal crops, such as wheat and barley, remains largely unexplored. However, the high level of conservation of genomic structure and sequences between closely related cereal crops should facilitate the identification of functional orthologs in other species. This review provides a comprehensive overview of the genetic and molecular bases of grain size and weight in wheat, barley, and rice, focusing on the latest discoveries in the field. We also present possibly the most updated list of experimentally validated genes that have a strong effect on grain size and discuss their molecular function.
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Affiliation(s)
- Sebastian Gasparis
- Plant Breeding and Acclimatization Institute—National Research Institute in Radzików, 05-870 Błonie, Poland;
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Zhao K, Wang L, Qiu D, Cao Z, Wang K, Li Z, Wang X, Wang J, Ma Q, Cao D, Qi Y, Zhao K, Gong F, Li Z, Ren R, Ma X, Zhang X, Yu F, Yin D. PSW1, an LRR receptor kinase, regulates pod size in peanut. PLANT BIOTECHNOLOGY JOURNAL 2023; 21:2113-2124. [PMID: 37431286 PMCID: PMC10502750 DOI: 10.1111/pbi.14117] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 05/30/2023] [Accepted: 06/15/2023] [Indexed: 07/12/2023]
Abstract
Pod size is a key agronomic trait that greatly determines peanut yield, the regulatory genes and molecular mechanisms that controlling peanut pod size are still unclear. Here, we used quantitative trait locus analysis to identify a peanut pod size regulator, POD SIZE/WEIGHT1 (PSW1), and characterized the associated gene and protein. PSW1 encoded leucine-rich repeat receptor-like kinase (LRR-RLK) and positively regulated pod stemness. Mechanistically, this allele harbouring a 12-bp insertion in the promoter and a point mutation in the coding region of PSW1 causing a serine-to-isoleucine (S618I) substitution substantially increased mRNA abundance and the binding affinity of PSW1 for BRASSINOSTEROID INSENSITIVE1-ASSOCIATED RECEPTOR KINASE 1 (BAK1). Notably, PSW1HapII (super-large pod allele of PSW1) expression led to up-regulation of a positive regulator of pod stemness PLETHORA 1 (PLT1), thereby resulting in larger pod size. Moreover, overexpression of PSW1HapII increased seed/fruit size in multiple plant species. Our work thus discovers a conserved function of PSW1 that controls pod size and provides a valuable genetic resource for breeding high-yield crops.
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Affiliation(s)
- Kunkun Zhao
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
| | - Long Wang
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, Hunan Key Laboratory of Plant Functional Genomics and Developmental RegulationHunan UniversityChangshaChina
| | - Ding Qiu
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
| | - Zenghui Cao
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
| | - Kuopeng Wang
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
| | - Zhan Li
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
| | - Xiaoxuan Wang
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
| | - Jinzhi Wang
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
| | - Qian Ma
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
| | - Di Cao
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
| | - Yinyao Qi
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, Hunan Key Laboratory of Plant Functional Genomics and Developmental RegulationHunan UniversityChangshaChina
| | - Kai Zhao
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
| | - Fangping Gong
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
| | - Zhongfeng Li
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
| | - Rui Ren
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
| | - Xingli Ma
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
| | - Xingguo Zhang
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
| | - Feng Yu
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, Hunan Key Laboratory of Plant Functional Genomics and Developmental RegulationHunan UniversityChangshaChina
| | - Dongmei Yin
- College of Agronomy & Peanut Functional Genome and Molecular Breeding Engineering, Henan Agricultural UniversityZhengzhouChina
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Wang K, Shi L, Zheng B, He Y. Responses of wheat kernel weight to diverse allelic combinations under projected climate change conditions. FRONTIERS IN PLANT SCIENCE 2023; 14:1138966. [PMID: 36998681 PMCID: PMC10043320 DOI: 10.3389/fpls.2023.1138966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 02/09/2023] [Indexed: 06/19/2023]
Abstract
INTRODUCTION In wheat, kernel weight (KW) is a key determinant of grain yield (GY). However, it is often overlooked when improving wheat productivity under climate warming. Moreover, little is known about the complex effects of genetic and climatic factors on KW. Here, we explored the responses of wheat KW to diverse allelic combinations under projected climate warming conditions. METHODS To focus on KW, we selected a subset of 81 out of 209 wheat varieties with similar GY, biomass, and kernel number (KN) and focused on their thousand-kernel weight (TKW). We genotyped them at eight kompetitive allele-specific polymerase chain reaction markers closely associated with TKW. Subsequently, we calibrated and evaluated the process-based model known as Agricultural Production Systems Simulator (APSIM-Wheat) based on a unique dataset including phenotyping, genotyping, climate, soil physicochemistry, and on-farm management information. We then used the calibrated APSIM-Wheat model to estimate TKW under eight allelic combinations (81 wheat varieties), seven sowing dates, and the shared socioeconomic pathways (SSPs) designated SSP2-4.5 and SSP5-8.5, driven by climate projections from five General Circulation Models (GCMs) BCC-CSM2-MR, CanESM5, EC-Earth3-Veg, MIROC-ES2L, and UKESM1-0-LL. RESULTS The APSIM-Wheat model reliably simulated wheat TKW with a root mean square error (RMSE) of < 3.076 g TK-1 and R2 of > 0.575 (P < 0.001). The analysis of variance based on the simulation output showed that allelic combination, climate scenario, and sowing date extremely significantly affected TKW (P < 0.001). The impact of the interaction allelic combination × climate scenario on TKW was also significant (P < 0.05). Meanwhile, the variety parameters and their relative importance in the APSIM-Wheat model accorded with the expression of the allelic combinations. Under the projected climate scenarios, the favorable allelic combinations (TaCKX-D1b + Hap-7A-1 + Hap-T + Hap-6A-G + Hap-6B-1 + H1g + A1b for SSP2-4.5 and SSP5-8.5) mitigated the negative effects of climate change on TKW. DISCUSSION The present study demonstrated that optimizing favorable allelic combinations can help achieve high wheat TKW. The findings of this study clarify the responses of wheat KW to diverse allelic combinations under projected climate change conditions. Additionally, the present study provides theoretical and practical reference for marker-assisted selection of high TKW in wheat breeding.
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Affiliation(s)
- Keyi Wang
- Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Liping Shi
- Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Bangyou Zheng
- Commonwealth Scientific and Industrial Research Organisation (CSIRO) Agriculture and Food, Queensland Biosciences Precinct, St. Lucia, QLD, Australia
| | - Yong He
- Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing, China
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Shrestha A, Cosenza F, van Inghelandt D, Wu PY, Li J, Casale FA, Weisweiler M, Stich B. The double round-robin population unravels the genetic architecture of grain size in barley. JOURNAL OF EXPERIMENTAL BOTANY 2022; 73:7344-7361. [PMID: 36094852 PMCID: PMC9730814 DOI: 10.1093/jxb/erac369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 09/08/2022] [Indexed: 06/15/2023]
Abstract
Grain number, size and weight primarily determine the yield of barley. Although the genes regulating grain number are well studied in barley, the genetic loci and the causal gene for sink capacity are poorly understood. Therefore, the primary objective of our work was to dissect the genetic architecture of grain size and weight in barley. We used a multi-parent population developed from a genetic cross between 23 diverse barley inbreds in a double round-robin design. Seed size-related parameters such as grain length, grain width, grain area and thousand-grain weight were evaluated in the HvDRR population comprising 45 recombinant inbred line sub-populations. We found significant genotypic variation for all seed size characteristics, and observed 84% or higher heritability across four environments. The quantitative trait locus (QTL) detection results indicate that the genetic architecture of grain size is more complex than previously reported. In addition, both cultivars and landraces contributed positive alleles at grain size QTLs. Candidate genes identified using genome-wide variant calling data for all parental inbred lines indicated overlapping and potential novel regulators of grain size in cereals. Furthermore, our results indicated that sink capacity was the primary determinant of grain weight in barley.
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Affiliation(s)
- Asis Shrestha
- Institute for Quantitative Genetics and Genomics of Plants, Biology Department, Heinrich Heine University, Dusseldorf, Germany
| | - Francesco Cosenza
- Institute for Quantitative Genetics and Genomics of Plants, Biology Department, Heinrich Heine University, Dusseldorf, Germany
| | - Delphine van Inghelandt
- Institute for Quantitative Genetics and Genomics of Plants, Biology Department, Heinrich Heine University, Dusseldorf, Germany
| | - Po-Ya Wu
- Institute for Quantitative Genetics and Genomics of Plants, Biology Department, Heinrich Heine University, Dusseldorf, Germany
| | - Jinquan Li
- Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Federico A Casale
- Institute for Quantitative Genetics and Genomics of Plants, Biology Department, Heinrich Heine University, Dusseldorf, Germany
| | - Marius Weisweiler
- Institute for Quantitative Genetics and Genomics of Plants, Biology Department, Heinrich Heine University, Dusseldorf, Germany
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Tillett BJ, Hale CO, Martin JM, Giroux MJ. Genes Impacting Grain Weight and Number in Wheat ( Triticum aestivum L. ssp. aestivum). PLANTS (BASEL, SWITZERLAND) 2022; 11:plants11131772. [PMID: 35807724 PMCID: PMC9269389 DOI: 10.3390/plants11131772] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Revised: 06/17/2022] [Accepted: 06/27/2022] [Indexed: 05/05/2023]
Abstract
The primary goal of common wheat (T. aestivum) breeding is increasing yield without negatively impacting the agronomic traits or product quality. Genetic approaches to improve the yield increasingly target genes that impact the grain weight and number. An energetic trade-off exists between the grain weight and grain number, the result of which is that most genes that increase the grain weight also decrease the grain number. QTL associated with grain weight and number have been identified throughout the hexaploid wheat genome, leading to the discovery of numerous genes that impact these traits. Genes that have been shown to impact these traits will be discussed in this review, including TaGNI, TaGW2, TaCKX6, TaGS5, TaDA1, WAPO1, and TaRht1. As more genes impacting the grain weight and number are characterized, the opportunity is increasingly available to improve common wheat agronomic yield by stacking the beneficial alleles. This review provides a synopsis of the genes that impact grain weight and number, and the most beneficial alleles of those genes with respect to increasing the yield in dryland and irrigated conditions. It also provides insight into some of the genetic mechanisms underpinning the trade-off between grain weight and number and their relationship to the source-to-sink pathway. These mechanisms include the plant size, the water soluble carbohydrate levels in plant tissue, the size and number of pericarp cells, the cytokinin and expansin levels in developing reproductive tissue, floral architecture and floral fertility.
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Lv Q, Li L, Meng Y, Sun H, Chen L, Wang B, Li X. Wheat E3 ubiquitin ligase TaGW2-6A degrades TaAGPS to affect seed size. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2022; 320:111274. [PMID: 35643616 DOI: 10.1016/j.plantsci.2022.111274] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 03/13/2022] [Accepted: 03/24/2022] [Indexed: 06/15/2023]
Abstract
TaGW2 has been identified as a key determinant of the grain weight in wheat (Triticum aestivum L.). In our previous study, we found that the grain size differs in Chinese Spring (CS) and its TaGW2-6A allelic variant (NIL31). In addition, the expression of the key starch biosynthesis enzyme gene TaAGPS differs significantly in the two materials. However, the underlying molecular mechanism associated with the action of TaGW2-6A has not been reported. In the present study, we found that TaGW2-6A-CS interacted with TaAGPS, whereas TaGW2-6A-NIL31 did not interact with it in vitro and in vivo. Furthermore, we found that the C-terminal LXLX domain (376-424 aa) of TaGW2-6A recognized TaAGPS. However, the TaGW2-6A allelic variant lacked this key interaction region due to premature translation termination. We also found that TaGW2-6A-CS can ubiquitinate TaAGPS and degrade it via the 26 S proteasome pathway. In addition, our analysis of the activity of ADP-glucose pyrophosphorylase (AGPase) indicated that the AGPase level in the endosperm cells was lower in CS than NIL31. Cytological observations demonstrated that the average number of starch granules and the average area of starch granules in endosperm cells were lower in CS than NIL31. The overexpression of TaAGPS positively regulated the seed size in transgenic Arabidopsis. Our findings provide novel insights into the molecular mechanism that allows TaGW2-6A-TaAGPS to regulate seed size via the starch synthesis pathway.
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Affiliation(s)
- Qian Lv
- State Key Laboratory of Crop Stress Biology in Arid Areas and College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Liqun Li
- State Key Laboratory of Crop Stress Biology in Arid Areas and College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Ying Meng
- State Key Laboratory of Crop Stress Biology in Arid Areas and College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Huimin Sun
- State Key Laboratory of Crop Stress Biology in Arid Areas and College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Liuping Chen
- State Key Laboratory of Crop Stress Biology in Arid Areas and College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Bingxin Wang
- State Key Laboratory of Crop Stress Biology in Arid Areas and College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Xuejun Li
- State Key Laboratory of Crop Stress Biology in Arid Areas and College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China.
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11
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Li T, Deng G, Su Y, Yang Z, Tang Y, Wang J, Zhang J, Qiu X, Pu X, Yang W, Li J, Liu Z, Zhang H, Liang J, Yu M, Wei Y, Long H. Genetic dissection of quantitative trait loci for grain size and weight by high-resolution genetic mapping in bread wheat (Triticum aestivum L.). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:257-271. [PMID: 34647130 DOI: 10.1007/s00122-021-03964-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 09/29/2021] [Indexed: 06/13/2023]
Abstract
Six major QTLs for wheat grain size and weight were identified on chromosomes 4A, 4B, 5A and 6A across multiple environments, and were validated in different genetic backgrounds. Grain size and weight are crucial components of wheat yield. Dissection of their genetic control is thus essential for the improvement of yield potential in wheat breeding. We used a doubled haploid (DH) population to detect quantitative trait loci (QTLs) for grain width (GW), grain length (GL), and thousand grain weight (TGW) in five environments. Six major QTLs, QGw.cib-4B.2, QGl.cib-4A, QGl.cib-5A.1, QGl.cib-6A, QTgw.cib-4B, and QTgw.cib-5A, were consistently identified in at least three individual environments and in best linear unbiased prediction (BLUP) datasets, and explained 5.65-34.06% of phenotypic variation. QGw.cib-4B.2, QTgw.cib-4B, QGl.cib-5A.1 and QGl.cib-6A had no effect on grain number per spike (GNS). In addition to QGl.cib-4A, the other major QTLs were further validated by using Kompetitive Allele Specific PCR (KASP) markers in different genetic backgrounds. Moreover, significant interactions between the three major GL QTLs and two major TGW QTLs were observed. Comparison analysis showed that QGl.cib-5A.1 and QGl.cib-6A are likely new loci. Notably, QGw.cib-4B.2 and QTgw.cib-4B were co-located on chromosome 4B and improved TGW by increasing only GW, unlike nearby or overlapped loci reported previously. Three genes associated with grain development within the QGw.cib-4B.2/QTgw.cib-4B interval were identified by searches on sequence similarity, spatial expression patterns, and orthologs. The major QTLs and KASP markers reported here will be useful for elucidating the genetic architecture of grain size and weight and for developing new wheat cultivars with high and stable yield.
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Affiliation(s)
- Tao Li
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, 611130, China
| | - Guangbing Deng
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China
| | - Yan Su
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China
| | - Zhao Yang
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China
| | - Yanyan Tang
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China
| | - Jinhui Wang
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China
| | - Juanyu Zhang
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China
| | - Xvebing Qiu
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China
| | - Xi Pu
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China
| | - Wuyun Yang
- Crop Research Institute, Sichuan Academy of Agricultural Sciences, Chengdu, 610066, Sichuan, China
| | - Jun Li
- Crop Research Institute, Sichuan Academy of Agricultural Sciences, Chengdu, 610066, Sichuan, China
| | - Zehou Liu
- Crop Research Institute, Sichuan Academy of Agricultural Sciences, Chengdu, 610066, Sichuan, China
| | - Haili Zhang
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China
| | - Junjun Liang
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China
| | - Maoqun Yu
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China
| | - Yuming Wei
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China.
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, 611130, China.
| | - Hai Long
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China.
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12
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Mukherjee S, Koramutla MK, Levin DB, Ayele BT. Genetic variation in transcriptional regulation of wheat seed starch content and its conversion to bioethanol. Food Energy Secur 2021. [DOI: 10.1002/fes3.339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Shalini Mukherjee
- Department of Plant Science University of Manitoba Winnipeg Manitoba Canada
| | | | - David B. Levin
- Department of Biosystems Engineering University of Manitoba Winnipeg Manitoba Canada
| | - Belay T. Ayele
- Department of Plant Science University of Manitoba Winnipeg Manitoba Canada
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13
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Genome-wide analysis of RING-type E3 ligase family identifies potential candidates regulating high amylose starch biosynthesis in wheat (Triticum aestivum L.). Sci Rep 2021; 11:11461. [PMID: 34075092 PMCID: PMC8169666 DOI: 10.1038/s41598-021-90685-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 05/10/2021] [Indexed: 12/02/2022] Open
Abstract
In ubiquitin-mediated post-translational modifications, RING finger families are emerged as important E3 ligases in regulating biological processes. Amylose and amylopectin are two major constituents of starch in wheat seed endosperm. Studies have been found the beneficial effects of high amylose or resistant starch on health. The ubiquitin-mediated post-translational regulation of key enzymes for amylose/amylopectin biosynthesis (GBSSI and SBEII) is still unknown. In this study, the genome-wide analysis identified 1272 RING domains in 1255 proteins in wheat, which is not reported earlier. The identified RING domains classified into four groups—RING-H2, RING-HC, RING-v, RING-G, based on the amino acid residues (Cys, His) at metal ligand positions and the number of residues between them with the predominance of RING-H2 type. A total of 1238 RING protein genes were found to be distributed across all 21 wheat chromosomes. Among them, 1080 RING protein genes were identified to show whole genome/segmental duplication within the hexaploid wheat genome. In silico expression analysis using transcriptome data revealed 698 RING protein genes, having a possible role in seed development. Based on differential gene expression and correlation analysis of 36 RING protein genes in diverse (high and low) amylose mutants and parent, 10 potential RING protein genes found to be involved in high amylose biosynthesis and significantly associated with two starch biosynthesis genes; GBSSI and SBEIIa. Characterization of mutant lines using next-generation sequencing method identified unique mutations in 698 RING protein genes. This study signifies the putative role of RING-type E3 ligases in amylose biosynthesis and this information will be helpful for further functional validation and its role in other biological processes in wheat.
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14
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Wang J, Zhang M, Dong R, Liu C, Guan H, Liu Q, Liu T, Wang L, Qi S, He C. Heterologous expression of ZmGS5 enhances organ size and seed weight by regulating cell expansion in Arabidopsis thaliana. Gene 2021; 793:145749. [PMID: 34077776 DOI: 10.1016/j.gene.2021.145749] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 03/30/2021] [Accepted: 05/27/2021] [Indexed: 11/30/2022]
Abstract
Maize ZmGS5 was reported to be positively associated with kernel-related traits, however, its regulatory mechanism on plant development and seed size remains unknown. In this study, ZmGS5 was demonstrated to be widely expressed in various maize tissues with the highest expression level in developing embryos, indicating its critical roles in early kernel development process. The ZmGS5 protein was subcellularly localized to both the nucleus and cytoplasm. Transgenic Arabidopsis plants overexpressing ZmGS5 under the control of either the constitutive maize Ubiquitin1 promotor or native ZmGS5 promoter resulted in increased plant size, biomass, seed size and weight, although no significant difference was observed between transgenic lines harboring the two constructs. In contrast, the antisense-ZmGS5 transgene resulted in opposite phenotypes. Our cytological data suggested that ZmGS5 enlarged petal size through enhancing cell expansion. Quantitative RT-PCR analysis indicated that ZmGS5 might enhance cell expansion and grain filling by upregulating expression levels of particular EXPA or SWEET genes. Collectively, these findings help us further understand the biological function and regulatory mechanism of ZmGS5 in improving organ size and seed weight, which imply its great potential for high-yield breeding in the future.
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Affiliation(s)
- Juan Wang
- Maize Research Institute, Shandong Academy of Agricultural Sciences/National Engineering Laboratory of Wheat and Maize/Key Laboratory of Biology and Genetic Improvement of Maize in Northern Yellow-huai River Plain, Ministry of Agriculture, Jinan 250100, China
| | - Maolin Zhang
- Maize Research Institute, Shandong Academy of Agricultural Sciences/National Engineering Laboratory of Wheat and Maize/Key Laboratory of Biology and Genetic Improvement of Maize in Northern Yellow-huai River Plain, Ministry of Agriculture, Jinan 250100, China
| | - Rui Dong
- Maize Research Institute, Shandong Academy of Agricultural Sciences/National Engineering Laboratory of Wheat and Maize/Key Laboratory of Biology and Genetic Improvement of Maize in Northern Yellow-huai River Plain, Ministry of Agriculture, Jinan 250100, China
| | - Chunxiao Liu
- Maize Research Institute, Shandong Academy of Agricultural Sciences/National Engineering Laboratory of Wheat and Maize/Key Laboratory of Biology and Genetic Improvement of Maize in Northern Yellow-huai River Plain, Ministry of Agriculture, Jinan 250100, China
| | - Haiying Guan
- Maize Research Institute, Shandong Academy of Agricultural Sciences/National Engineering Laboratory of Wheat and Maize/Key Laboratory of Biology and Genetic Improvement of Maize in Northern Yellow-huai River Plain, Ministry of Agriculture, Jinan 250100, China
| | - Qiang Liu
- Maize Research Institute, Shandong Academy of Agricultural Sciences/National Engineering Laboratory of Wheat and Maize/Key Laboratory of Biology and Genetic Improvement of Maize in Northern Yellow-huai River Plain, Ministry of Agriculture, Jinan 250100, China
| | - Tieshan Liu
- Maize Research Institute, Shandong Academy of Agricultural Sciences/National Engineering Laboratory of Wheat and Maize/Key Laboratory of Biology and Genetic Improvement of Maize in Northern Yellow-huai River Plain, Ministry of Agriculture, Jinan 250100, China
| | - Liming Wang
- Maize Research Institute, Shandong Academy of Agricultural Sciences/National Engineering Laboratory of Wheat and Maize/Key Laboratory of Biology and Genetic Improvement of Maize in Northern Yellow-huai River Plain, Ministry of Agriculture, Jinan 250100, China
| | - Shijun Qi
- Maize Research Institute, Shandong Academy of Agricultural Sciences/National Engineering Laboratory of Wheat and Maize/Key Laboratory of Biology and Genetic Improvement of Maize in Northern Yellow-huai River Plain, Ministry of Agriculture, Jinan 250100, China.
| | - Chunmei He
- Maize Research Institute, Shandong Academy of Agricultural Sciences/National Engineering Laboratory of Wheat and Maize/Key Laboratory of Biology and Genetic Improvement of Maize in Northern Yellow-huai River Plain, Ministry of Agriculture, Jinan 250100, China.
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15
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Pretini N, Alonso MP, Vanzetti LS, Pontaroli AC, González FG. The physiology and genetics behind fruiting efficiency: a promising spike trait to improve wheat yield potential. JOURNAL OF EXPERIMENTAL BOTANY 2021; 72:3987-4004. [PMID: 33681978 DOI: 10.1093/jxb/erab080] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 02/17/2021] [Indexed: 06/12/2023]
Abstract
Fruiting efficiency (FE, grains per g of spike dry weight at anthesis) was proposed as a promising spike trait to improve wheat yield potential, based on its functional relationship with grain number determination and the evidence of trait variability in elite germplasm. During the last few years, we have witnessed great advances in the understanding of the physiological and genetic basis of this trait. The present review summarizes the recent heritability estimations and the genetic gains obtained when fruiting efficiency was measured at maturity (FEm, grains per g of chaff) and used as selection criterion. In addition, we propose spike ideotypes for contrasting fruiting efficiencies based on the fertile floret efficiency (FFE, fertile florets per g of spike dry weight at anthesis) and grain set (grains per fertile floret), together with other spike fertility-related traits. We also review novel genes and quantitative trait loci available for using marker-assisted selection for fruiting efficiency and other spike fertility traits. The possible trade-off between FE and grain weight and the genes reported to alter this relation are also considered. Finally, we discuss the benefits and future steps towards the use of fruiting efficiency as a selection criterion in breeding programs.
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Affiliation(s)
- Nicole Pretini
- Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires (CITNOBA, CONICET-UNNOBA-UNSADA), Monteagudo 2772 CP 2700, Pergamino, Buenos Aires, Argentina
| | - María P Alonso
- Unidad Integrada Balcarce [Facultad de Ciencias Agrarias, Universidad Nacional de Mar del Plata -Instituto Nacional de Tecnología Agropecuaria (INTA), EEA INTA Balcarce], Ruta 226 km 73.5 CP 7620, Balcarce, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290 CP C1425FQB, Buenos Aires, Argentina
| | - Leonardo S Vanzetti
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290 CP C1425FQB, Buenos Aires, Argentina
- Instituto Nacional de Tecnología Agropecuaria (INTA). EEA INTA Marcos Juárez, Ruta 12 s/n CP 2850, Marcos Juárez, Córdoba, Argentina
| | - Ana C Pontaroli
- Unidad Integrada Balcarce [Facultad de Ciencias Agrarias, Universidad Nacional de Mar del Plata -Instituto Nacional de Tecnología Agropecuaria (INTA), EEA INTA Balcarce], Ruta 226 km 73.5 CP 7620, Balcarce, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290 CP C1425FQB, Buenos Aires, Argentina
| | - Fernanda G González
- Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires (CITNOBA, CONICET-UNNOBA-UNSADA), Monteagudo 2772 CP 2700, Pergamino, Buenos Aires, Argentina
- Instituto Nacional de Tecnología Agropecuaria (INTA). EEA INTA Pergamino, Ruta 32, km 4,5 CP 2700, Pergamino, Buenos Aires, Argentina
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16
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Zhang L, Liu P, Wu J, Qiao L, Zhao G, Jia J, Gao L, Wang J. Identification of a novel ERF gene, TaERF8, associated with plant height and yield in wheat. BMC PLANT BIOLOGY 2020; 20:263. [PMID: 32513101 PMCID: PMC7282131 DOI: 10.1186/s12870-020-02473-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Accepted: 05/27/2020] [Indexed: 05/15/2023]
Abstract
BACKGROUND Ethylene Responsive Factor (ERF) is involved in various processes of plant development and stress responses. In wheat, several ERFs have been identified and their roles in mediating biotic or abiotic stresses have been elucidated. However, their effects on wheat plant architecture and yield-related traits remain poorly studied. RESULTS In this study, TaERF8, a new member of the ERF family, was isolated in wheat (Triticum aestivum L.). Three homoeologous TaERF8 genes, TaERF8-2A, TaERF8-2B and TaERF8-2D (named according to sub-genomic origin), were cloned from the common wheat cultivar Chinese Spring. The three homoeologs showed highly similar protein sequences, with identical AP2 domain. Whereas homoeologs sequence polymorphism analysis allowed the establishment of ten, two and three haplotypes, respectively. Expression analysis revealed that TaERF8s were constitutively expressed through entire wheat developmental stages. Analysis of related agronomic traits of TaERF8-2B overexpressing transgenic lines showed that TaERF8-2B plays a role in regulating plant architecture and yield-related traits. Association analysis between TaERF8-2B haplotypes (Hap-2B-1 and Hap-2B-2) and agronomic traits showed that TaERF8-2B was associated with plant height, heading date and 1000 kernel weight (TKW). The TaERF8-2B haplotypes distribution analysis revealed that Hap-2B-2 frequency increased in domesticated emmer wheat and modern varieties, being predominant in five major China wheat producing zones. CONCLUSION These results indicated that TaERF8s are differentially involved in the regulation of wheat growth and development. Haplotype Hap-2B-2 was favored during domestication and in Chinese wheat breeding. Unveiling that the here described molecular marker TaERF8-2B-InDel could be used for marker-assisted selection, plant architecture and TKW improvement in wheat breeding.
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Affiliation(s)
- Lei Zhang
- College of Agronomy, Shanxi Agricultural University, Taigu, China
| | - Pan Liu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jing Wu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Linyi Qiao
- College of Agronomy, Shanxi Agricultural University, Taigu, China
| | - Guangyao Zhao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jizeng Jia
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Lifeng Gao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
| | - Jianming Wang
- College of Agronomy, Shanxi Agricultural University, Taigu, China.
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17
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A RING-Type E3 Ubiquitin Ligase, OsGW2, Controls Chlorophyll Content and Dark-Induced Senescence in Rice. Int J Mol Sci 2020; 21:ijms21051704. [PMID: 32131496 PMCID: PMC7084548 DOI: 10.3390/ijms21051704] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Revised: 02/25/2020] [Accepted: 02/27/2020] [Indexed: 02/03/2023] Open
Abstract
Leaf senescence is the final stage of plant development. Many internal and external factors affect the senescence process in rice (Oryza sativa L.). In this study, we identified qCC2, a major quantitative trait locus (QTL) for chlorophyll content using a population derived from an interspecific cross between O. sativa (cv. Hwaseong) and Oryza grandiglumis. The O. grandiglumis allele at qCC2 increased chlorophyll content and delayed senescence. GW2 encoding E3 ubiquitin ligase in the qCC2 region was selected as a candidate for qCC2. To determine if GW2 is allelic to qCC2, a gw2-knockout mutant (gw2-ko) was examined using a dark-induced senescence assay. gw2-ko showed delayed leaf senescence in the dark with down-regulated expression of senescence-associated genes (SAGs) and chlorophyll degradation genes (CDGs). The association of the GW2 genotype with the delayed senescence phenotype was confirmed in an F2 population. RNA-seq analysis was conducted to investigate 30-day-old leaf transcriptome dynamics in Hwaseong and a backcross inbred line-CR2002-under dark treatment. This resulted in the identification of genes involved in phytohormone signaling and associated with senescence. These results suggested that transcriptional regulation was associated with delayed senescence in CR2002, and RING-type E3 ubiquitin ligase GW2 was a positive regulator of leaf senescence in rice.
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18
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Chen L, Zhao J, Song J, Jameson PE. Cytokinin dehydrogenase: a genetic target for yield improvement in wheat. PLANT BIOTECHNOLOGY JOURNAL 2020; 18:614-630. [PMID: 31782596 PMCID: PMC7004901 DOI: 10.1111/pbi.13305] [Citation(s) in RCA: 69] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2019] [Accepted: 11/19/2019] [Indexed: 05/04/2023]
Abstract
The plant hormone group, the cytokinins, is implicated in both qualitative and quantitative components of yield. Cytokinins have opposing actions in shoot and root growth-actions shown to involve cytokinin dehydrogenase (CKX), the enzyme that inactivates cytokinin. We revise and provide unambiguous names for the CKX gene family members in wheat, based on the most recently released wheat genome database, IWGSC RefSeq v1.0 & v2.0. We review expression data of CKX gene family members in wheat, revealing tissue-specific gene family member expression as well as sub-genome-specific expression. Manipulation of CKX in cereals shows clear impacts on yield, root growth and orientation, and Zn nutrition, but this also emphasizes the necessity to unlink promotive effects on grain yield from negative effects of cytokinin on root growth and uptake of mineral nutrients, particularly Zn and Fe. Wheat is the most widely grown cereal crop globally, yet is under-research compared with rice and maize. We highlight gaps in our knowledge of the involvement of CKX for wheat. We also highlight the necessity for accurate analysis of endogenous cytokinins, acknowledging why this is challenging, and provide examples where inadequate analyses of endogenous cytokinins have led to unjustified conclusions. We acknowledge that the allohexaploid nature of bread wheat poses challenges in terms of uncovering useful mutations. However, we predict TILLING followed by whole-exome sequencing will uncover informative mutations and we indicate the potential for stacking mutations within the three genomes to modify yield components. We model a wheat ideotype based on CKX manipulation.
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Affiliation(s)
- Lei Chen
- School of Life SciencesYantai UniversityYantaiChina
| | - Jiqiang Zhao
- School of Life SciencesYantai UniversityYantaiChina
| | | | - Paula E. Jameson
- School of Life SciencesYantai UniversityYantaiChina
- School of Biological SciencesUniversity of CanterburyChristchurchNew Zealand
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19
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Wang Q, Sun G, Ren X, Du B, Cheng Y, Wang Y, Li C, Sun D. Dissecting the Genetic Basis of Grain Size and Weight in Barley ( Hordeum vulgare L.) by QTL and Comparative Genetic Analyses. FRONTIERS IN PLANT SCIENCE 2019; 10:469. [PMID: 31105718 PMCID: PMC6491919 DOI: 10.3389/fpls.2019.00469] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Accepted: 03/28/2019] [Indexed: 05/23/2023]
Abstract
Grain size and weight are crucial components of barley yield and quality and are the target characteristics of domestication and modern breeding. Despite this, little is known about the genetic and molecular mechanisms of grain size and weight in barley. Here, we evaluated nine traits determining grain size and weight, including thousand grain weight (Tgw), grain length (Gl), grain width (Gw), grain length-width ratio (Lwr), grain area (Ga), grain perimeter (Gp), grain diameter (Gd), grain roundness (Gr), and factor form density (Ffd), in a double haploid (DH) population for three consecutive years. Using five mapping methods, we successfully identified 60 reliable QTLs and 27 hotspot regions that distributed on all chromosomes except 6H which controls the nine traits of grain size and weight. Moreover, we also identified 164 barley orthologs of 112 grain size/weight genes from rice, maize, wheat and 38 barley genes that affect grain yield. A total of 45 barley genes or orthologs were identified as potential candidate genes for barley grain size and weight, including 12, 20, 9, and 4 genes or orthologs for barley, rice, maize, and wheat, respectively. Importantly, 20 of them were located in the 14 QTL hotspot regions on chromosome 1H, 2H, 3H, 5H, and 7H, which controls barley grain size and weight. These results indicated that grain size/weight genes of other cereal species might have the same or similar functions in barley. Our findings provide new insights into the understanding of the genetic basis of grain size and weight in barley, and new information to facilitate high-yield breeding in barley. The function of these potential candidate genes identified in this study are worth exploring and studying in detail.
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Affiliation(s)
- Qifei Wang
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Genlou Sun
- Department of Biology, Saint Mary’s University, Halifax, NS, Canada
| | - Xifeng Ren
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Binbin Du
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Yun Cheng
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Yixiang Wang
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Chengdao Li
- School of Veterinary and Life Sciences, Murdoch University, Murdoch, WA, Australia
| | - Dongfa Sun
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
- Hubei Collaborative Innovation Centre for Grain Industry, Yangtze University, Jingzhou, China
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20
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Sestili F, Pagliarello R, Zega A, Saletti R, Pucci A, Botticella E, Masci S, Tundo S, Moscetti I, Foti S, Lafiandra D. Enhancing grain size in durum wheat using RNAi to knockdown GW2 genes. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2019; 132:419-429. [PMID: 30426174 DOI: 10.1007/s00122-018-3229-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Accepted: 11/02/2018] [Indexed: 05/21/2023]
Abstract
Knocking down GW2 enhances grain size by regulating genes encoding the synthesis of cytokinin, gibberellin, starch and cell wall. Raising crop yield is a priority task in the light of the continuing growth of the world's population and the inexorable loss of arable land to urbanization. Here, the RNAi approach was taken to reduce the abundance of Grain Weight 2 (GW2) transcript in the durum wheat cultivar Svevo. The effect of the knockdown was to increase the grains' starch content by 10-40%, their width by 4-13% and their surface area by 3-5%. Transcriptomic profiling, based on a quantitative real-time PCR platform, revealed that the transcript abundance of genes encoding both cytokinin dehydrogenase 1 and the large subunit of ADP-glucose pyrophosphorylase was markedly increased in the transgenic lines, whereas that of the genes encoding cytokinin dehydrogenase 2 and gibberellin 3-oxidase was reduced. A proteomic analysis of the non-storage fraction extracted from mature grains detected that eleven proteins were differentially represented in the transgenic compared to wild-type grain: some of these were involved, or at least potentially involved, in cell wall development, suggesting a role of GW2 in the regulation of cell division in the wheat grain.
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Affiliation(s)
- Francesco Sestili
- Department of Agriculture and Forest Sciences, University of Tuscia, Via S. Camillo de Lellis, 01100, Viterbo, Italy
| | - Riccardo Pagliarello
- Department of Agriculture and Forest Sciences, University of Tuscia, Via S. Camillo de Lellis, 01100, Viterbo, Italy
| | - Alessandra Zega
- Department of Chemical Sciences, University of Catania, Viale A. Doria 6, 95125, Catania, Italy
| | - Rosaria Saletti
- Department of Chemical Sciences, University of Catania, Viale A. Doria 6, 95125, Catania, Italy
| | - Anna Pucci
- Department of Agriculture and Forest Sciences, University of Tuscia, Via S. Camillo de Lellis, 01100, Viterbo, Italy
| | - Ermelinda Botticella
- Department of Agriculture and Forest Sciences, University of Tuscia, Via S. Camillo de Lellis, 01100, Viterbo, Italy
| | - Stefania Masci
- Department of Agriculture and Forest Sciences, University of Tuscia, Via S. Camillo de Lellis, 01100, Viterbo, Italy
| | - Silvio Tundo
- Department of Agriculture and Forest Sciences, University of Tuscia, Via S. Camillo de Lellis, 01100, Viterbo, Italy
| | - Ilaria Moscetti
- Department of Agriculture and Forest Sciences, University of Tuscia, Via S. Camillo de Lellis, 01100, Viterbo, Italy
| | - Salvatore Foti
- Department of Chemical Sciences, University of Catania, Viale A. Doria 6, 95125, Catania, Italy
| | - Domenico Lafiandra
- Department of Agriculture and Forest Sciences, University of Tuscia, Via S. Camillo de Lellis, 01100, Viterbo, Italy.
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Li Y, Song G, Gao J, Zhang S, Zhang R, Li W, Chen M, Liu M, Xia X, Risacher T, Li G. Enhancement of grain number per spike by RNA interference of cytokinin oxidase 2 gene in bread wheat. Hereditas 2018; 155:33. [PMID: 30305809 PMCID: PMC6169005 DOI: 10.1186/s41065-018-0071-7] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2018] [Accepted: 09/21/2018] [Indexed: 11/23/2022] Open
Abstract
Background This study aimed to validate the function of CKX gene on grain numbers in wheat. Methods we constructed and transformed a RNA interference expression vector of TaCKX2.4 in bread wheat line NB1. Southern blotting analysis was used to select transgenic plants with single copy. The expression of TaCKX2.4 gene was estimated by Quantitative real-time PCR (qRT-PCR) analysis. Finally, the relation between expression of TaCKX2.4 gene and grain numbers was validated. Results Totally, 20 positive independent events were obtained. Homozygous lines from 5 events with a single copy of transformed gene each were selected to evaluate the expression of TaCKX2.4 and grain numbers per spike in T3 generation. Compared with the control NB1, the average grain numbers per spike significantly increased by 12.6%, 8.3%, 6.5% and 5.8% in the T3 lines JW39-3A, JW1-2B, JW1-1A and JW5-1A, respectively. Conclusion Our study indicated that the expression level of TaCKX2.4 was negatively correlated with the grain number per spike, indicating that the reduced expression of TaCKX2.4 increased grain numbers per spike in wheat.
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Affiliation(s)
- Yulian Li
- Crop Research Institute, Shandong Academy of Agricultural Sciences; Key Laboratory of Wheat Biology and Genetic Improvement on North Yellow and Huai River Valley, Ministry of Agriculture, National Engineering Laboratory for Wheat and Maize, Jinan, 250100 Shandong China
| | - Guoqi Song
- Crop Research Institute, Shandong Academy of Agricultural Sciences; Key Laboratory of Wheat Biology and Genetic Improvement on North Yellow and Huai River Valley, Ministry of Agriculture, National Engineering Laboratory for Wheat and Maize, Jinan, 250100 Shandong China
| | - Jie Gao
- Crop Research Institute, Shandong Academy of Agricultural Sciences; Key Laboratory of Wheat Biology and Genetic Improvement on North Yellow and Huai River Valley, Ministry of Agriculture, National Engineering Laboratory for Wheat and Maize, Jinan, 250100 Shandong China
| | - Shujuan Zhang
- Crop Research Institute, Shandong Academy of Agricultural Sciences; Key Laboratory of Wheat Biology and Genetic Improvement on North Yellow and Huai River Valley, Ministry of Agriculture, National Engineering Laboratory for Wheat and Maize, Jinan, 250100 Shandong China
| | - Rongzhi Zhang
- Crop Research Institute, Shandong Academy of Agricultural Sciences; Key Laboratory of Wheat Biology and Genetic Improvement on North Yellow and Huai River Valley, Ministry of Agriculture, National Engineering Laboratory for Wheat and Maize, Jinan, 250100 Shandong China
| | - Wei Li
- Crop Research Institute, Shandong Academy of Agricultural Sciences; Key Laboratory of Wheat Biology and Genetic Improvement on North Yellow and Huai River Valley, Ministry of Agriculture, National Engineering Laboratory for Wheat and Maize, Jinan, 250100 Shandong China
| | - Mingli Chen
- Crop Research Institute, Shandong Academy of Agricultural Sciences; Key Laboratory of Wheat Biology and Genetic Improvement on North Yellow and Huai River Valley, Ministry of Agriculture, National Engineering Laboratory for Wheat and Maize, Jinan, 250100 Shandong China
| | - Min Liu
- Crop Research Institute, Shandong Academy of Agricultural Sciences; Key Laboratory of Wheat Biology and Genetic Improvement on North Yellow and Huai River Valley, Ministry of Agriculture, National Engineering Laboratory for Wheat and Maize, Jinan, 250100 Shandong China
| | - Xianchun Xia
- 3Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081 China
| | | | - Genying Li
- Crop Research Institute, Shandong Academy of Agricultural Sciences; Key Laboratory of Wheat Biology and Genetic Improvement on North Yellow and Huai River Valley, Ministry of Agriculture, National Engineering Laboratory for Wheat and Maize, Jinan, 250100 Shandong China
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Henry RJ, Furtado A, Rangan P. Wheat seed transcriptome reveals genes controlling key traits for human preference and crop adaptation. CURRENT OPINION IN PLANT BIOLOGY 2018; 45:231-236. [PMID: 29779965 DOI: 10.1016/j.pbi.2018.05.002] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Revised: 05/02/2018] [Accepted: 05/08/2018] [Indexed: 05/23/2023]
Abstract
Analysis of the transcriptome of the developing wheat grain has associated expression of genes with traits involving production (e.g. yield) and quality (e.g. bread quality). Photosynthesis in the grain may be important in retaining carbon that would be lost in respiration during grain filling and may contribute to yield in the late stages of seed formation under warm and dry environments. A small number of genes have been identified as having been selected by humans to optimize the performance of wheat for foods such as bread. Genes determining flour yield in milling have been discovered. Hardness is explained by variations in expression of pin genes. Knowledge of these genes should dramatically improve the efficiency of breeding better climate adapted wheat genotypes.
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Affiliation(s)
- Robert J Henry
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, QLD 4072, Australia.
| | - Agnelo Furtado
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, QLD 4072, Australia
| | - Parimalan Rangan
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, QLD 4072, Australia; Division of Genomic Resources, ICAR-National Bureau of Plant Genetic Resources, PUSA Campus, New Delhi 110012, India
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23
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Savadi S. Molecular regulation of seed development and strategies for engineering seed size in crop plants. PLANT GROWTH REGULATION 2018; 84:401-422. [PMID: 0 DOI: 10.1007/s10725-017-0355-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
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