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Kiss T, Horváth ÁD, Cseh A, Berki Z, Balla K, Karsai I. Molecular genetic regulation of the vegetative-generative transition in wheat from an environmental perspective. ANNALS OF BOTANY 2025; 135:605-628. [PMID: 39364537 PMCID: PMC11904908 DOI: 10.1093/aob/mcae174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Accepted: 09/30/2024] [Indexed: 10/05/2024]
Abstract
The key to the wide geographical distribution of wheat is its high adaptability. One of the most commonly used methods for studying adaptation is investigation of the transition between the vegetative-generative phase and the subsequent intensive stem elongation process. These processes are determined largely by changes in ambient temperature, the diurnal and annual periodicity of daylength, and the composition of the light spectrum. Many genes are involved in the perception of external environmental signals, forming a complex network of interconnections that are then integrated by a few integrator genes. This hierarchical cascade system ensures the precise occurrence of the developmental stages that enable maximum productivity. This review presents the interrelationship of molecular-genetic pathways (Earliness per se, circadian/photoperiod length, vernalization - cold requirement, phytohormonal - gibberellic acid, light perception, ambient temperature perception and ageing - miRNA) responsible for environmental adaptation in wheat. Detailed molecular genetic mapping of wheat adaptability will allow breeders to incorporate new alleles that will create varieties best adapted to local environmental conditions.
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Affiliation(s)
- Tibor Kiss
- HUN-REN Centre for Agricultural Research, Agricultural Institute, H-2462 Martonvásár, Hungary
- Food and Wine Research Institute, Eszterházy Károly Catholic University, H-3300 Eger, Hungary
| | - Ádám D Horváth
- HUN-REN Centre for Agricultural Research, Agricultural Institute, H-2462 Martonvásár, Hungary
| | - András Cseh
- HUN-REN Centre for Agricultural Research, Agricultural Institute, H-2462 Martonvásár, Hungary
| | - Zita Berki
- HUN-REN Centre for Agricultural Research, Agricultural Institute, H-2462 Martonvásár, Hungary
| | - Krisztina Balla
- HUN-REN Centre for Agricultural Research, Agricultural Institute, H-2462 Martonvásár, Hungary
| | - Ildikó Karsai
- HUN-REN Centre for Agricultural Research, Agricultural Institute, H-2462 Martonvásár, Hungary
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2
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Chen J, Li Q, Jiang D. From Images to Loci: Applying 3D Deep Learning to Enable Multivariate and Multitemporal Digital Phenotyping and Mapping the Genetics Underlying Nitrogen Use Efficiency in Wheat. PLANT PHENOMICS (WASHINGTON, D.C.) 2024; 6:0270. [PMID: 39703939 PMCID: PMC11658601 DOI: 10.34133/plantphenomics.0270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Revised: 08/31/2024] [Accepted: 10/25/2024] [Indexed: 12/21/2024]
Abstract
The selection and promotion of high-yielding and nitrogen-efficient wheat varieties can reduce nitrogen fertilizer application while ensuring wheat yield and quality and contribute to the sustainable development of agriculture; thus, the mining and localization of nitrogen use efficiency (NUE) genes is particularly important, but the localization of NUE genes requires a large amount of phenotypic data support. In view of this, we propose the use of low-altitude aerial photography to acquire field images at a large scale, generate 3-dimensional (3D) point clouds and multispectral images of wheat plots, propose a wheat 3D plot segmentation dataset, quantify the plot canopy height via combination with PointNet++, and generate 4 nitrogen utilization-related vegetation indices via index calculations. Six height-related and 24 vegetation-index-related dynamic digital phenotypes were extracted from the digital phenotypes collected at different time points and fitted to generate dynamic curves. We applied height-derived dynamic numerical phenotypes to genome-wide association studies of 160 wheat cultivars (660,000 single-nucleotide polymorphisms) and found that we were able to locate reliable loci associated with height and NUE, some of which were consistent with published studies. Finally, dynamic phenotypes derived from plant indices can also be applied to genome-wide association studies and ultimately locate NUE- and growth-related loci. In conclusion, we believe that our work demonstrates valuable advances in 3D digital dynamic phenotyping for locating genes for NUE in wheat and provides breeders with accurate phenotypic data for the selection and breeding of nitrogen-efficient wheat varieties.
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Affiliation(s)
| | - Qing Li
- Plant Phenomics Research Centre, Academy for Advanced Interdisciplinary Studies, Collaborative Innovation Centre for Modern Crop Production, Co-sponsored by Province and Ministry, College of Agriculture, State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization,
Nanjing Agricultural University, Nanjing 210095, China
| | - Dong Jiang
- Plant Phenomics Research Centre, Academy for Advanced Interdisciplinary Studies, Collaborative Innovation Centre for Modern Crop Production, Co-sponsored by Province and Ministry, College of Agriculture, State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization,
Nanjing Agricultural University, Nanjing 210095, China
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3
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Liu Y, Xu X, He C, Jin L, Zhou Z, Gao J, Guo M, Wang X, Chen C, Ayaad MH, Li X, Yan W. Chromatin loops gather targets of upstream regulators together for efficient gene transcription regulation during vernalization in wheat. Genome Biol 2024; 25:306. [PMID: 39623466 PMCID: PMC11613916 DOI: 10.1186/s13059-024-03437-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 11/18/2024] [Indexed: 12/06/2024] Open
Abstract
BACKGROUND Plants respond to environmental stimuli by altering gene transcription that is highly related with chromatin status, including histone modification, chromatin accessibility, and three-dimensional chromatin interaction. Vernalization is essential for the transition to reproductive growth for winter wheat. How wheat reshapes its chromatin features, especially chromatin interaction during vernalization, remains unknown. RESULTS Combinatory analysis of gene transcription and histone modifications in winter wheat under different vernalization conditions identifies 17,669 differential expressed genes and thousands of differentially enriched peaks of H3K4me3, H3K27me3, and H3K9ac. We find dynamic gene expression across the vernalization process is highly associated with H3K4me3. More importantly, the dynamic H3K4me3- and H3K9ac-associated chromatin-chromatin interactions demonstrate that vernalization leads to increased chromatin interactions and gene activation. Remarkably, spatially distant targets of master regulators like VRN1 and VRT2 are gathered together by chromatin loops to achieve efficient transcription regulation, which is designated as a "shepherd" model. Furthermore, by integrating gene regulatory network for vernalization and natural variation of flowering time, TaZNF10 is identified as a negative regulator for vernalization-related flowering time in wheat. CONCLUSIONS We reveal dynamic gene transcription network during vernalization and find that the spatially distant genes can be recruited together via chromatin loops associated with active histone mark thus to be more efficiently found and bound by upstream regulator. It provides new insights into understanding vernalization and response to environmental stimuli in wheat and other plants.
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Affiliation(s)
- Yanyan Liu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Xintong Xu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Chao He
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Liujie Jin
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Ziru Zhou
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Jie Gao
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Minrong Guo
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Xin Wang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Chuanye Chen
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Mohammed H Ayaad
- Plant Research Department, Nuclear Research Center, Egyptian Atomic Energy Authority, Cairo, 13759, Egypt
| | - Xingwang Li
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Wenhao Yan
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China.
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4
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Liu X, Deng M, Shi B, Zhu K, Chen J, Xu S, Bie X, Zhang X, Lin X, Xiao J. Distinct roles of H3K27me3 and H3K36me3 in vernalization response, maintenance, and resetting in winter wheat. SCIENCE CHINA. LIFE SCIENCES 2024; 67:2251-2266. [PMID: 38987431 DOI: 10.1007/s11427-024-2664-0] [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: 05/02/2024] [Accepted: 06/25/2024] [Indexed: 07/12/2024]
Abstract
Winter plants rely on vernalization, a crucial process for adapting to cold conditions and ensuring successful reproduction. However, understanding the role of histone modifications in guiding the vernalization process in winter wheat remains limited. In this study, we investigated the transcriptome and chromatin dynamics in the shoot apex throughout the life cycle of winter wheat in the field. Two core histone modifications, H3K27me3 and H3K36me3, exhibited opposite patterns on the key vernalization gene VERNALIZATION1 (VRN1), correlating with its induction during cold exposure. Moreover, the H3K36me3 level remained high at VRN1 after cold exposure, which may maintain its active state. Mutations in FERTILIZATION-INDEPENDENT ENDOSPERM (TaFIE) and SET DOMAIN GROUP 8/EARLY FLOWERING IN SHORT DAYS (TaSDG8/TaEFS), components of the writer complex for H3K27me3 and H3K36me3, respectively, affected flowering time. Intriguingly, VRN1 lost its high expression after the cold exposure memory in the absence of H3K36me3. During embryo development, VRN1 was silenced with the removal of active histone modifications in both winter and spring wheat, with selective restoration of H3K27me3 in winter wheat. The mutant of Tafie-cr-87, a component of H3K27me3 "writer" complex, did not influence the silence of VRN1 during embryo development, but rather attenuated the cold exposure requirement of winter wheat. Integrating gene expression with H3K27me3 and H3K36me3 patterns identified potential regulators of flowering. This study unveils distinct roles of H3K27me3 and H3K36me3 in controlling vernalization response, maintenance, and resetting in winter wheat.
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Affiliation(s)
- Xuemei Liu
- Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Min Deng
- Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Bingxin Shi
- Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Kehui Zhu
- Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jinchao Chen
- Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Shujuan Xu
- Institute of Science and Technology Austria (ISTA), Klosterneuburg, 3400, Austria
| | - Xiaomin Bie
- National Key Laboratory of Wheat Improvement, College of Life Sciences, Shandong Agricultural University, Tai'an, 271018, China
| | - Xiansheng Zhang
- National Key Laboratory of Wheat Improvement, College of Life Sciences, Shandong Agricultural University, Tai'an, 271018, China
| | - Xuelei Lin
- Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Jun Xiao
- Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Centre of Excellence for Plant and Microbial Science (CEPAMS), JIC-CAS, Beijing, 100101, China.
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Manjunath KK, Krishna H, Devate NB, Sunilkumar VP, Patil SP, Chauhan D, Singh S, Kumar S, Jain N, Singh GP, Singh PK. QTL mapping: insights into genomic regions governing component traits of yield under combined heat and drought stress in wheat. Front Genet 2024; 14:1282240. [PMID: 38269367 PMCID: PMC10805833 DOI: 10.3389/fgene.2023.1282240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 12/15/2023] [Indexed: 01/26/2024] Open
Abstract
Drought and heat frequently co-occur during crop growth leading to devastating yield loss. The knowledge of the genetic loci governing component traits of yield under combined drought and heat stress is essential for enhancing the climate resilience. The present study employed a mapping population of 180 recombinant inbred lines (RILs) derived from a cross between GW322 and KAUZ to identify quantitative trait loci (QTLs) governing the component traits of yield under heat and combined stress conditions. Phenotypic evaluation was conducted across two consecutive crop seasons (2021-2022 and 2022-2023) under late sown irrigation (LSIR) and late sown restricted irrigation (LSRI) conditions at the Indian Council of Agricultural Research Institute-Indian Agricultural Research Institute (ICAR-IARI), New Delhi. Various physiological and agronomic traits of importance were measured. Genotyping was carried out with 35K SNP Axiom breeder's genotyping array. The linkage map spanned a length of 6769.45 cM, ranging from 2.28 cM/marker in 1A to 14.21 cM/marker in 5D. A total of 35 QTLs were identified across 14 chromosomes with 6B containing the highest (seven) number of QTLs. Out of 35 QTLs, 16 were major QTLs explaining the phenotypic variance greater than 10%. The study identified eight stable QTLs along with two hotspots on chromosomes 6B and 5B. Five QTLs associated with traits thousand-grain weight (TGW), normalized difference vegetation index (NDVI), and plant height (PH) were successfully validated. Candidate genes encoding antioxidant enzymes, transcription factors, and growth-related proteins were identified in the QTL regions. In silico expression analysis highlighted higher expression of transcripts TraesCS2D02G021000.1, TraesCS2D02G031000, TraesCS6A02G247900, and TraesCS6B02G421700 under stress conditions. These findings contribute to a deeper understanding of the genetic architecture underlying combined heat and drought tolerance in wheat, providing valuable insights for wheat improvement strategies under changing climatic conditions.
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Affiliation(s)
| | - Hari Krishna
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India
| | - Narayana Bhat Devate
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India
| | - V. P. Sunilkumar
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India
| | - Sahana Police Patil
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India
| | - Divya Chauhan
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India
| | - Shweta Singh
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India
| | - Sudhir Kumar
- Division of Plant Physiology, ICAR-Indian Agricultural Research Institute, New Delhi, India
| | - Neelu Jain
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India
| | | | - Pradeep Kumar Singh
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India
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6
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Rehman S, Bahadur S, Xia W. An overview of floral regulatory genes in annual and perennial plants. Gene 2023; 885:147699. [PMID: 37567454 DOI: 10.1016/j.gene.2023.147699] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 07/31/2023] [Accepted: 08/08/2023] [Indexed: 08/13/2023]
Abstract
The floral initiation in angiosperms is a complex process influenced by endogenous and exogenous signals. With this approach, we aim to provide a comprehensive review to integrate this complex floral regulatory process and summarize the regulatory genes and their functions in annuals and perennials. Seven primary paths leading to flowering have been discovered in Arabidopsis under several growth condition that include; photoperiod, ambient temperature, vernalization, gibberellins, autonomous, aging and carbohydrates. These pathways involve a series of interlinked signaling pathways that respond to both internal and external signals, such as light, temperature, hormones, and developmental cues, to coordinate the expression of genes that are involved in flower development. Among them, the photoperiodic pathway was the most important and conserved as some of the fundamental loci and mechanisms are shared even by closely related plant species. The activation of floral regulatory genes such as FLC, FT, LFY, and SOC1 that determine floral meristem identity and the transition to the flowering stage result from the merging of these pathways. Recent studies confirmed that alternative splicing, antisense RNA and epigenetic modification play crucial roles by regulating the expression of genes related to blooming. In this review, we documented recent progress in the floral transition time in annuals and perennials, with emphasis on the specific regulatory mechanisms along with the application of various molecular approaches including overexpression studies, RNA interference and Virus-induced flowering. Furthermore, the similarities and differences between annual and perennial flowering will aid significant contributions to the field by elucidating the mechanisms of perennial plant development and floral initiation regulation.
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Affiliation(s)
- Shazia Rehman
- Sanya Nanfan Research Institution, Hainan University, Haikou 572025, China; College of Tropical Crops, Hainan University, Haikou 570228, China
| | - Saraj Bahadur
- College of Forestry, Hainan University, Haikou 570228 China
| | - Wei Xia
- Sanya Nanfan Research Institution, Hainan University, Haikou 572025, China; College of Tropical Crops, Hainan University, Haikou 570228, China.
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7
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Glenn P, Woods DP, Zhang J, Gabay G, Odle N, Dubcovsky J. Wheat bZIPC1 interacts with FT2 and contributes to the regulation of spikelet number per spike. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:237. [PMID: 37906302 PMCID: PMC10618405 DOI: 10.1007/s00122-023-04484-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 10/09/2023] [Indexed: 11/02/2023]
Abstract
KEY MESSAGE The wheat transcription factor bZIPC1 interacts with FT2 and affects spikelet and grain number per spike. We identified a natural allele with positive effects on these two economically important traits. Loss-of-function mutations and natural variation in the gene FLOWERING LOCUS T2 (FT2) in wheat have previously been shown to affect spikelet number per spike (SNS). However, while other FT-like wheat proteins interact with bZIP-containing transcription factors from the A-group, FT2 does not interact with any of them. In this study, we used a yeast-two-hybrid screen with FT2 as bait and identified a grass-specific bZIP-containing transcription factor from the C-group, designated here as bZIPC1. Within the C-group, we identified four clades including wheat proteins that show Y2H interactions with different sets of FT-like and CEN-like encoded proteins. bZIPC1 and FT2 expression partially overlap in the developing spike, including the inflorescence meristem. Combined loss-of-function mutations in bZIPC-A1 and bZIPC-B1 (bzipc1) in tetraploid wheat resulted in a drastic reduction in SNS with a limited effect on heading date. Analysis of natural variation in the bZIPC-B1 (TraesCS5B02G444100) region revealed three major haplotypes (H1-H3), with the H1 haplotype showing significantly higher SNS, grain number per spike and grain weight per spike than both the H2 and H3 haplotypes. The favorable effect of the H1 haplotype was also supported by its increased frequency from the ancestral cultivated tetraploids to the modern tetraploid and hexaploid wheat varieties. We developed markers for the two non-synonymous SNPs that differentiate the bZIPC-B1b allele in the H1 haplotype from the ancestral bZIPC-B1a allele present in all other haplotypes. These diagnostic markers are useful tools to accelerate the deployment of the favorable bZIPC-B1b allele in pasta and bread wheat breeding programs.
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Affiliation(s)
- Priscilla Glenn
- Department of Plant Sciences, University of California, Davis, CA, 95616, USA
| | - Daniel P Woods
- Department of Plant Sciences, University of California, Davis, CA, 95616, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, 20815, USA
| | - Junli Zhang
- Department of Plant Sciences, University of California, Davis, CA, 95616, USA
| | - Gilad Gabay
- Department of Plant Sciences, University of California, Davis, CA, 95616, USA
| | - Natalie Odle
- Department of Plant Sciences, University of California, Davis, CA, 95616, USA
| | - Jorge Dubcovsky
- Department of Plant Sciences, University of California, Davis, CA, 95616, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, 20815, USA.
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8
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Liu Y, Chen J, Yin C, Wang Z, Wu H, Shen K, Zhang Z, Kang L, Xu S, Bi A, Zhao X, Xu D, He Z, Zhang X, Hao C, Wu J, Gong Y, Yu X, Sun Z, Ye B, Liu D, Zhang L, Shen L, Hao Y, Ma Y, Lu F, Guo Z. A high-resolution genotype-phenotype map identifies the TaSPL17 controlling grain number and size in wheat. Genome Biol 2023; 24:196. [PMID: 37641093 PMCID: PMC10463835 DOI: 10.1186/s13059-023-03044-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 08/21/2023] [Indexed: 08/31/2023] Open
Abstract
BACKGROUND Large-scale genotype-phenotype association studies of crop germplasm are important for identifying alleles associated with favorable traits. The limited number of single-nucleotide polymorphisms (SNPs) in most wheat genome-wide association studies (GWASs) restricts their power to detect marker-trait associations. Additionally, only a few genes regulating grain number per spikelet have been reported due to sensitivity of this trait to variable environments. RESULTS We perform a large-scale GWAS using approximately 40 million filtered SNPs for 27 spike morphology traits. We detect 132,086 significant marker-trait associations and the associated SNP markers are located within 590 associated peaks. We detect additional and stronger peaks by dividing spike morphology into sub-traits relative to GWAS results of spike morphology traits. We propose that the genetic dissection of spike morphology is a powerful strategy to detect signals for grain yield traits in wheat. The GWAS results reveal that TaSPL17 positively controls grain size and number by regulating spikelet and floret meristem development, which in turn leads to enhanced grain yield per plant. The haplotypes at TaSPL17 indicate geographical differentiation, domestication effects, and breeding selection. CONCLUSION Our study provides valuable resources for genetic improvement of spike morphology and a fast-forward genetic solution for candidate gene detection and cloning in wheat.
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Affiliation(s)
- Yangyang Liu
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jun Chen
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
| | - Changbin Yin
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 10011, China
| | - Ziying Wang
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - He Wu
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Kuocheng Shen
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhiliang Zhang
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 10011, China
| | - Lipeng Kang
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 10011, China
| | - Song Xu
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 10011, China
| | - Aoyue Bi
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 10011, China
| | - Xuebo Zhao
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 10011, China
| | - Daxing Xu
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 10011, China
| | - Zhonghu He
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
- International Maize and Wheat Improvement Center (CIMMYT) China Office, c/o CAAS, Beijing, 100081, China
| | - Xueyong Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
| | - Chenyang Hao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
| | - Jianhui Wu
- State Key Laboratory of Crop Stress Biology for Arid Areas, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Yan Gong
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
| | - Xuchang Yu
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhiwen Sun
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Botao Ye
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Danni Liu
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Lili Zhang
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Liping Shen
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Yuanfeng Hao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China.
| | - Youzhi Ma
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China.
| | - Fei Lu
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 10011, China.
- CAS-JIC Centre of Excellence for Plant and Microbial Science (CEPAMS), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100093, China.
| | - Zifeng Guo
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
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Cabral AL, Ruan Y, Cuthbert RD, Li L, Zhang W, Boyle K, Berraies S, Henriquez MA, Burt A, Kumar S, Fobert P, Piche I, Bokore FE, Meyer B, Sangha J, Knox RE. Multi-locus genome-wide association study of fusarium head blight in relation to days to anthesis and plant height in a spring wheat association panel. FRONTIERS IN PLANT SCIENCE 2023; 14:1166282. [PMID: 37457352 PMCID: PMC10346453 DOI: 10.3389/fpls.2023.1166282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 05/03/2023] [Indexed: 07/18/2023]
Abstract
Fusarium head blight (FHB) is a highly destructive fungal disease of wheat to which host resistance is quantitatively inherited and largely influenced by the environment. Resistance to FHB has been associated with taller height and later maturity; however, a further understanding of these relationships is needed. An association mapping panel (AMP) of 192 predominantly Canadian spring wheat was genotyped with the wheat 90K single-nucleotide polymorphism (SNP) array. The AMP was assessed for FHB incidence (INC), severity (SEV) and index (IND), days to anthesis (DTA), and plant height (PLHT) between 2015 and 2017 at three Canadian FHB-inoculated nurseries. Seven multi-environment trial (MET) datasets were deployed in a genome-wide association study (GWAS) using a single-locus mixed linear model (MLM) and a multi-locus random SNP-effect mixed linear model (mrMLM). MLM detected four quantitative trait nucleotides (QTNs) for INC on chromosomes 2D and 3D and for SEV and IND on chromosome 3B. Further, mrMLM identified 291 QTNs: 50 (INC), 72 (SEV), 90 (IND), 41 (DTA), and 38 (PLHT). At two or more environments, 17 QTNs for FHB, DTA, and PLHT were detected. Of these 17, 12 QTNs were pleiotropic for FHB traits, DTA, and PLHT on chromosomes 1A, 1D, 2D, 3B, 5A, 6B, 7A, and 7B; two QTNs for DTA were detected on chromosomes 1B and 7A; and three PLHT QTNs were located on chromosomes 4B and 6B. The 1B DTA QTN and the three pleiotropic QTNs on chromosomes 1A, 3B, and 6B are potentially identical to corresponding quantitative trait loci (QTLs) in durum wheat. Further, the 3B pleiotropic QTN for FHB INC, SEV, and IND co-locates with TraesCS3B02G024900 within the Fhb1 region on chromosome 3B and is ~3 Mb from a cloned Fhb1 candidate gene TaHRC. While the PLHT QTN on chromosome 6B is putatively novel, the 1B DTA QTN co-locates with a disease resistance protein located ~10 Mb from a Flowering Locus T1-like gene TaFT3-B1, and the 7A DTA QTN is ~5 Mb away from a maturity QTL QMat.dms-7A.3 of another study. GWAS and QTN candidate genes enabled the characterization of FHB resistance in relation to DTA and PLHT. This approach should eventually generate additional and reliable trait-specific markers for breeding selection, in addition to providing useful information for FHB trait discovery.
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Affiliation(s)
- Adrian L. Cabral
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Yuefeng Ruan
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Richard D. Cuthbert
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Lin Li
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Wentao Zhang
- Aquatic and Crop Resource Development Research Centre, National Research Council of Canada, Saskatoon, SK, Canada
| | - Kerry Boyle
- Aquatic and Crop Resource Development Research Centre, National Research Council of Canada, Saskatoon, SK, Canada
| | - Samia Berraies
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Maria Antonia Henriquez
- Morden Research and Development Centre, Agriculture and Agri-Food Canada, Morden, MB, Canada
| | - Andrew Burt
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada
| | - Santosh Kumar
- Brandon Research and Development Centre, Agriculture and Agri-Food Canada, Brandon, MB, Canada
| | - Pierre Fobert
- Aquatic and Crop Resource Development Research Centre, National Research Council of Canada, Ottawa, ON, Canada
| | - Isabelle Piche
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Firdissa E. Bokore
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Brad Meyer
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Jatinder Sangha
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Ron E. Knox
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
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10
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Liu Y, Shen K, Yin C, Xu X, Yu X, Ye B, Sun Z, Dong J, Bi A, Zhao X, Xu D, He Z, Zhang X, Hao C, Wu J, Wang Z, Wu H, Liu D, Zhang L, Shen L, Hao Y, Lu F, Guo Z. Genetic basis of geographical differentiation and breeding selection for wheat plant architecture traits. Genome Biol 2023; 24:114. [PMID: 37173729 PMCID: PMC10176713 DOI: 10.1186/s13059-023-02932-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Accepted: 04/10/2023] [Indexed: 05/15/2023] Open
Abstract
BACKGROUND Plant architecture associated with increased grain yield and adaptation to the local environments is selected during wheat (Triticum aestivum) breeding. The internode length of individual stems and tiller length of individual plants are important for the determination of plant architecture. However, few studies have explored the genetic basis of these traits. RESULTS Here, we conduct a genome-wide association study (GWAS) to dissect the genetic basis of geographical differentiation of these traits in 306 worldwide wheat accessions including both landraces and traditional varieties. We determine the changes of haplotypes for the associated genomic regions in frequency in 831 wheat accessions that are either introduced from other countries or developed in China from last two decades. We identify 83 loci that are associated with one trait, while the remaining 247 loci are pleiotropic. We also find 163 associated loci are under strong selective sweep. GWAS results demonstrate independent regulation of internode length of individual stems and consistent regulation of tiller length of individual plants. This makes it possible to obtain ideal haplotype combinations of the length of four internodes. We also find that the geographical distribution of the haplotypes explains the observed differences in internode length among the worldwide wheat accessions. CONCLUSION This study provides insights into the genetic basis of plant architecture. It will facilitate gene functional analysis and molecular design of plant architecture for breeding.
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Affiliation(s)
- Yangyang Liu
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Kuocheng Shen
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Changbin Yin
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100010, China
| | - Xiaowan Xu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
| | - Xuchang Yu
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Botao Ye
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Zhiwen Sun
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Jiayu Dong
- University of Chinese Academy of Sciences, 100049, Beijing, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100010, China
| | - Aoyue Bi
- University of Chinese Academy of Sciences, 100049, Beijing, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100010, China
| | - Xuebo Zhao
- University of Chinese Academy of Sciences, 100049, Beijing, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100010, China
| | - Daxing Xu
- University of Chinese Academy of Sciences, 100049, Beijing, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100010, China
| | - Zhonghu He
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
- International Maize and Wheat Improvement Center (CIMMYT) China Office, c/o CAAS, Beijing, 100081, China
| | - Xueyong Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
| | - Chenyang Hao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
| | - Jianhui Wu
- State Key Laboratory of Crop Stress Biology for Arid Areas, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Ziying Wang
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
| | - He Wu
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Danni Liu
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Lili Zhang
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Liping Shen
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Yuanfeng Hao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China.
| | - Fei Lu
- University of Chinese Academy of Sciences, 100049, Beijing, China.
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100010, China.
- CAS-JIC Centre of Excellence for Plant and Microbial Science (CEPAMS), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.
| | - Zifeng Guo
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
- University of Chinese Academy of Sciences, 100049, Beijing, China.
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11
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Horváth Á, Kiss T, Berki Z, Horváth ÁD, Balla K, Cseh A, Veisz O, Karsai I. Effects of genetic components of plant development on yield-related traits in wheat ( Triticum aestivum L.) under stress-free conditions. FRONTIERS IN PLANT SCIENCE 2023; 13:1070410. [PMID: 36844908 PMCID: PMC9945125 DOI: 10.3389/fpls.2022.1070410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 12/14/2022] [Indexed: 06/18/2023]
Abstract
The dynamics of plant development not only has an impact on ecological adaptation but also contributes to the realization of genetically determined yield potentials in various environments. Dissecting the genetic determinants of plant development becomes urgent due to the global climate change, which can seriously affect and even disrupt the locally adapted developmental patterns. In order to determine the role plant developmental loci played in local adaptation and yield formation, a panel of 188 winter and facultative wheat cultivars from diverse geographic locations were characterized with the 15K Illumina Single Nucleotide Polymorphism (SNP) chip and functional markers of several plant developmental genes and included into a multiseason field experiment. Genome-wide association analyses were conducted on five consecutive developmental phases spanning from the first node appearance to full heading together with various grain yield-related parameters. The panel was balanced for the PPD-D1 photoperiod response gene, which facilitated the analyses in the two subsets of photoperiod-insensitive and -sensitive genotypes in addition to the complete panel. PPD-D1 was the single highest source, explaining 12.1%-19.0% of the phenotypic variation in the successive developmental phases. In addition, 21 minor developmental loci were identified, each one explaining only small portions of the variance, but, together, their effects amounted to 16.6%-50.6% of phenotypic variance. Eight loci (2A_27, 2A_727, 4A_570, 5B_315, 5B_520, 6A_26, 7A_1-(VRN-A3), and 7B_732) were independent of PPD-D1. Seven loci were only detectable in the PPD-D1-insensitive genetic background (1A_539, 1B_487, 2D_649, 4A_9, 5A_584-(VRN-A1), 5B_571-(VRN-B1), and 7B_3-(VRN-B3)), and six loci were only detectable in the sensitive background, specifically 2A_740, 2D_25, 3A_579, 3B_414, 7A_218, 7A_689, and 7B_538. The combination of PPD-D1 insensitivity and sensitivity with the extremities of early or late alleles in the corresponding minor developmental loci resulted in significantly altered and distinct plant developmental patterns with detectable outcomes on some yield-related traits. This study examines the possible significance of the above results in ecological adaptation.
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Affiliation(s)
- Ádám Horváth
- Agricultural Institute, Centre of Agriculture, Eötvös Loránd Research Network (ELKH), Martonvásár, Hungary
| | - Tibor Kiss
- Agricultural Institute, Centre of Agriculture, Eötvös Loránd Research Network (ELKH), Martonvásár, Hungary
- Food and Wine Research Institute, Eszterházy Károly Catholic University, Eger, Hungary
| | - Zita Berki
- Agricultural Institute, Centre of Agriculture, Eötvös Loránd Research Network (ELKH), Martonvásár, Hungary
| | - Ádám D. Horváth
- Agricultural Institute, Centre of Agriculture, Eötvös Loránd Research Network (ELKH), Martonvásár, Hungary
| | - Krisztina Balla
- Agricultural Institute, Centre of Agriculture, Eötvös Loránd Research Network (ELKH), Martonvásár, Hungary
| | - András Cseh
- Agricultural Institute, Centre of Agriculture, Eötvös Loránd Research Network (ELKH), Martonvásár, Hungary
| | - Ottó Veisz
- Agricultural Institute, Centre of Agriculture, Eötvös Loránd Research Network (ELKH), Martonvásár, Hungary
| | - Ildikó Karsai
- Agricultural Institute, Centre of Agriculture, Eötvös Loránd Research Network (ELKH), Martonvásár, Hungary
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12
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Goldshmidt A, Ziegler T, Zhou D, Brower‐Toland B, Preuss S, Slewinski T. Tuning of meristem maturation rate increases yield in multiple Triticum aestivum cultivars. PLANT DIRECT 2022; 6:e459. [PMID: 36447652 PMCID: PMC9694431 DOI: 10.1002/pld3.459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Revised: 01/02/2020] [Accepted: 10/19/2022] [Indexed: 06/16/2023]
Abstract
Breeding programs aim to improve crop yield and environmental stability for enhanced food security. The principal methodology in breeding for stable yield gain relies on the indirect selection of beneficial genetics by yield evaluation across diverse environmental conditions. This methodology requires substantial resources while delivering a slow pace of yield gain and environmental adaptation. Alternative methods are required to accelerate gain and adaptation, becoming even more imperative in a changing climate. New molecular tools and approaches can enable accelerated creation and deployment of multiple alleles of genes identified to control key traits. With the advent of tools that enable breeding by targeted allelic selection, identifying gene targets associated with an improved crop performance ideotype will become crucial. Previous studies have shown that altered photoperiod regimes increase yield in wheat (Triticum aestivum). In the current study, we have employed such treatments to study the resulting yield ideotype in five spring wheat cultivars. We found that the photoperiod treatment creates a yield ideotype arising from delayed spike establishment rates that are accompanied by increased early shoot expression of TARGET OF EAT1 (TaTOE1) genes. Genes identified in this way could be used for ideotype-based improve crop performance through targeted allele creation and selection in relevant environments.
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Affiliation(s)
- Alexander Goldshmidt
- Bayer Crop ScienceChesterfieldMissouriUSA
- Present address:
The Volcani Agriculture InstituteRishon LeZionIsrael
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13
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Debernardi JM, Woods DP, Li K, Li C, Dubcovsky J. MiR172-APETALA2-like genes integrate vernalization and plant age to control flowering time in wheat. PLoS Genet 2022; 18:e1010157. [PMID: 35468125 PMCID: PMC9037917 DOI: 10.1371/journal.pgen.1010157] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 03/20/2022] [Indexed: 11/28/2022] Open
Abstract
Plants possess regulatory mechanisms that allow them to flower under conditions that maximize reproductive success. Selection of natural variants affecting those mechanisms has been critical in agriculture to modulate the flowering response of crops to specific environments and to increase yield. In the temperate cereals, wheat and barley, the photoperiod and vernalization pathways explain most of the natural variation in flowering time. However, other pathways also participate in fine-tuning the flowering response. In this work, we integrate the conserved microRNA miR172 and its targets APETALA2-like (AP2L) genes into the temperate grass flowering network involving VERNALIZATION 1 (VRN1), VRN2 and FLOWERING LOCUS T 1 (FT1 = VRN3) genes. Using mutants, transgenics and different growing conditions, we show that miR172 promotes flowering in wheat, while its target genes AP2L1 (TaTOE1) and AP2L5 (Q) act as flowering repressors. Moreover, we reveal that the miR172-AP2L pathway regulates FT1 expression in the leaves, and that this regulation is independent of VRN2 and VRN1. In addition, we show that the miR172-AP2L module and flowering are both controlled by plant age through miR156 in spring cultivars. However, in winter cultivars, flowering and the regulation of AP2L1 expression are decoupled from miR156 downregulation with age, and induction of VRN1 by vernalization is required to repress AP2L1 in the leaves and promote flowering. Interestingly, the levels of miR172 and both AP2L genes modulate the flowering response to different vernalization treatments in winter cultivars. In summary, our results show that conserved and grass specific gene networks interact to modulate the flowering response, and that natural or induced mutations in AP2L genes are useful tools for fine-tuning wheat flowering time in a changing environment.
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Affiliation(s)
- Juan M. Debernardi
- Department of Plant Sciences, University of California, Davis, California, United States of America
- Howard Hughes Medical Institute, Chevy Chase, Maryland, United States of America
| | - Daniel P. Woods
- Department of Plant Sciences, University of California, Davis, California, United States of America
- Howard Hughes Medical Institute, Chevy Chase, Maryland, United States of America
| | - Kun Li
- Department of Plant Sciences, University of California, Davis, California, United States of America
- Howard Hughes Medical Institute, Chevy Chase, Maryland, United States of America
| | - Chengxia Li
- Department of Plant Sciences, University of California, Davis, California, United States of America
- Howard Hughes Medical Institute, Chevy Chase, Maryland, United States of America
| | - Jorge Dubcovsky
- Department of Plant Sciences, University of California, Davis, California, United States of America
- Howard Hughes Medical Institute, Chevy Chase, Maryland, United States of America
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14
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Song T, Yu Y, Zhang M, Zhou H, Zhang S, Yu M, Zhou J, Cheng J, Xiang J, Yang S, Zhang X. A Wheat TaTOE1-B1 Transcript TaTOE1-B1-3 Can Delay the Flowering Time of Transgenic Arabidopsis. Int J Mol Sci 2021; 22:12645. [PMID: 34884449 PMCID: PMC8657464 DOI: 10.3390/ijms222312645] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 11/14/2021] [Accepted: 11/16/2021] [Indexed: 02/02/2023] Open
Abstract
Flowering time is one of the most important agronomic traits in wheat production. A proper flowering time might contribute to the reduction or avoidance of biotic and abiotic stresses, adjust plant architecture, and affect the yield and quality of grain. In this study, TaTOE1-B1 in wheat produced three transcripts (TaTOE1-B1-1, TaTOE1-B1-2, and TaTOE1-B1-3) by alternative splicing. Compared to the longest transcript, TaTOE1-B1-1, TaTOE1-B1-3 has a deletion in the sixth exon (1219-1264 bp). Under long-day conditions, the heterologous overexpression of the TaTOE1-B1-3 gene delayed flowering, prolonged the vegetative growth time, and enlarged the vegetative body of Arabidopsis, but that of TaTOE1-B1-1 did not. As typical AP2 family members, TaTOE1-B1-1 and TaTOE1-B1-3 are mainly located in the nucleus and have transcriptional activation activities; the transcriptional activation region of TaTOE1-B1-3 is located in the C-terminal. In TaTOE1-B1-3 overexpression lines, the expression of flowering-related AtFT and AtSOC1 genes is significantly downregulated. In addition, this study confirms the protein-protein interaction between TaTOE1-B1-3 and TaPIFI, which may play an important role in flowering inhibition. These results provide a theoretical basis for the precise regulation of wheat flowering time.
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Affiliation(s)
- Tianqi Song
- College of Agronomy, Northwest A&F University, Yangling 712100, China; (T.S.); (Y.Y.); (H.Z.); (S.Z.); (M.Y.); (J.Z.); (J.C.)
| | - Yang Yu
- College of Agronomy, Northwest A&F University, Yangling 712100, China; (T.S.); (Y.Y.); (H.Z.); (S.Z.); (M.Y.); (J.Z.); (J.C.)
| | - Mingfei Zhang
- Academy of Agricultural Sciences, Key Laboratory of Agro-Ecological Protection & Exploitation and Utilization of Animal and Plant Resources in Eastern Inner Mongolia, Chifeng University, Chifeng 024000, China;
| | - Hongwei Zhou
- College of Agronomy, Northwest A&F University, Yangling 712100, China; (T.S.); (Y.Y.); (H.Z.); (S.Z.); (M.Y.); (J.Z.); (J.C.)
| | - Shuangxing Zhang
- College of Agronomy, Northwest A&F University, Yangling 712100, China; (T.S.); (Y.Y.); (H.Z.); (S.Z.); (M.Y.); (J.Z.); (J.C.)
| | - Ming Yu
- College of Agronomy, Northwest A&F University, Yangling 712100, China; (T.S.); (Y.Y.); (H.Z.); (S.Z.); (M.Y.); (J.Z.); (J.C.)
| | - Jianfei Zhou
- College of Agronomy, Northwest A&F University, Yangling 712100, China; (T.S.); (Y.Y.); (H.Z.); (S.Z.); (M.Y.); (J.Z.); (J.C.)
| | - Jie Cheng
- College of Agronomy, Northwest A&F University, Yangling 712100, China; (T.S.); (Y.Y.); (H.Z.); (S.Z.); (M.Y.); (J.Z.); (J.C.)
| | - Jishan Xiang
- Academy of Agricultural Sciences, Key Laboratory of Agro-Ecological Protection & Exploitation and Utilization of Animal and Plant Resources in Eastern Inner Mongolia, Chifeng University, Chifeng 024000, China;
| | - Songjie Yang
- School of Modern Agriculture & Biotechnology, Ankang University, Ankang 725000, China;
| | - Xiaoke Zhang
- College of Agronomy, Northwest A&F University, Yangling 712100, China; (T.S.); (Y.Y.); (H.Z.); (S.Z.); (M.Y.); (J.Z.); (J.C.)
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15
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Yield-Related QTL Clusters and the Potential Candidate Genes in Two Wheat DH Populations. Int J Mol Sci 2021; 22:ijms222111934. [PMID: 34769361 PMCID: PMC8585063 DOI: 10.3390/ijms222111934] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 10/21/2021] [Accepted: 10/28/2021] [Indexed: 11/17/2022] Open
Abstract
In the present study, four large-scale field trials using two doubled haploid wheat populations were conducted in different environments for two years. Grain protein content (GPC) and 21 other yield-related traits were investigated. A total of 227 QTL were mapped on 18 chromosomes, which formed 35 QTL clusters. The potential candidate genes underlying the QTL clusters were suggested. Furthermore, adding to the significant correlations between yield and its related traits, correlation variations were clearly shown within the QTL clusters. The QTL clusters with consistently positive correlations were suggested to be directly utilized in wheat breeding, including 1B.2, 2A.2, 2B (4.9–16.5 Mb), 2B.3, 3B (68.9–214.5 Mb), 4A.2, 4B.2, 4D, 5A.1, 5A.2, 5B.1, and 5D. The QTL clusters with negative alignments between traits may also have potential value for yield or GPC improvement in specific environments, including 1A.1, 2B.1, 1B.3, 5A.3, 5B.2 (612.1–613.6 Mb), 7A.1, 7A.2, 7B.1, and 7B.2. One GPC QTL (5B.2: 671.3–672.9 Mb) contributed by cultivar Spitfire was positively associated with nitrogen use efficiency or grain protein yield and is highly recommended for breeding use. Another GPC QTL without negatively pleiotropic effects on 2A (50.0–56.3 Mb), 2D, 4D, and 6B is suggested for quality wheat breeding.
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16
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Hanif U, Alipour H, Gul A, Jing L, Darvishzadeh R, Amir R, Munir F, Ilyas MK, Ghafoor A, Siddiqui SU, St Amand P, Bernado A, Bai G, Sonder K, Rasheed A, He Z, Li H. Characterization of the genetic basis of local adaptation of wheat landraces from Iran and Pakistan using genome-wide association study. THE PLANT GENOME 2021; 14:e20096. [PMID: 34275212 DOI: 10.1002/tpg2.20096] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Accepted: 01/31/2021] [Indexed: 05/21/2023]
Abstract
Characterization of genomic regions underlying adaptation of landraces can reveal a quantitative genetics framework for local wheat (Triticum aestivum L.) adaptability. A collection of 512 wheat landraces from the eastern edge of the Fertile Crescent in Iran and Pakistan were genotyped using genome-wide single nucleotide polymorphism markers generated by genotyping-by-sequencing. The minor allele frequency (MAF) and the heterozygosity (H) of Pakistani wheat landraces (MAF = 0.19, H = 0.008) were slightly higher than the Iranian wheat landraces (MAF = 0.17, H = 0.005), indicating that Pakistani landraces were slightly more genetically diverse. Population structure analysis clearly separated the Pakistani landraces from Iranian landraces, which indicates two separate adaptability trajectories. The large-scale agro-climatic data of seven variables were quite dissimilar between Iran and Pakistan as revealed by the correlation coefficients. Genome-wide association study identified 91 and 58 loci using agroclimatic data, which likely underpin local adaptability of the wheat landraces from Iran and Pakistan, respectively. Selective sweep analysis identified significant hits on chromosomes 4A, 4B, 6B, 7B, 2D, and 6D, which were colocalized with the loci associated with local adaptability and with some known genes related to flowering time and grain size. This study provides insight into the genetic diversity with emphasis on the genetic architecture of loci involved in adaptation to local environments, which has breeding implications.
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Affiliation(s)
- Uzma Hanif
- Atta-ur-Rahman School of Applied Biosciences, National Univ. of Sciences and Technology, Islamabad, Pakistan
| | - Hadi Alipour
- Dep. of Plant Production and Genetics, Faculty of Agriculture and Natural Resources, Urmia Univ., Urmia, Iran
| | - Alvina Gul
- Atta-ur-Rahman School of Applied Biosciences, National Univ. of Sciences and Technology, Islamabad, Pakistan
| | - Li Jing
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), & CIMMYT-China office, 12 Zhongguancun South St., Beijing, 100081, China
| | - Reza Darvishzadeh
- Dep. of Plant Production and Genetics, Faculty of Agriculture and Natural Resources, Urmia Univ., Urmia, Iran
| | - Rabia Amir
- Atta-ur-Rahman School of Applied Biosciences, National Univ. of Sciences and Technology, Islamabad, Pakistan
| | - Faiza Munir
- Atta-ur-Rahman School of Applied Biosciences, National Univ. of Sciences and Technology, Islamabad, Pakistan
| | - Muhammad Kashif Ilyas
- Plant Genetic Resource Program, Bioresource Conservation Institute, National Agricultural Research Center, Islamabad, 44000, Pakistan
| | - Abdul Ghafoor
- Plant Genetic Resource Program, Bioresource Conservation Institute, National Agricultural Research Center, Islamabad, 44000, Pakistan
| | - Sadar Uddin Siddiqui
- Plant Genetic Resource Program, Bioresource Conservation Institute, National Agricultural Research Center, Islamabad, 44000, Pakistan
| | - Paul St Amand
- USDA Hard Winter Wheat Genetics Research Unit, Manhattan, KS, 66506, USA
| | - Amy Bernado
- USDA Hard Winter Wheat Genetics Research Unit, Manhattan, KS, 66506, USA
| | - Guihua Bai
- USDA Hard Winter Wheat Genetics Research Unit, Manhattan, KS, 66506, USA
| | - Kai Sonder
- International Wheat and Maize Improvement Center (CIMMYT), Texcoco, Mexico
| | - Awais Rasheed
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), & CIMMYT-China office, 12 Zhongguancun South St., Beijing, 100081, China
- Dep. of Plant Sciences, Quaid-i-Azam Univ., Islamabad, 45320, Pakistan
| | - Zhonghu He
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), & CIMMYT-China office, 12 Zhongguancun South St., Beijing, 100081, China
| | - Huihui Li
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), & CIMMYT-China office, 12 Zhongguancun South St., Beijing, 100081, China
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17
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Effect of Flowering Time-Related Genes on Biomass, Harvest Index, and Grain Yield in CIMMYT Elite Spring Bread Wheat. BIOLOGY 2021; 10:biology10090855. [PMID: 34571732 PMCID: PMC8471161 DOI: 10.3390/biology10090855] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Revised: 08/16/2021] [Accepted: 08/19/2021] [Indexed: 11/23/2022]
Abstract
Simple Summary Allelic variants of vernalization (Vrn), photoperiod (Ppd), and earliness per se (Eps) genes in two panels of elite spring wheat were used to estimate their effects on the phenological stages, biomass (BM), harvest index (HI), and grain yield (YLD). Major spring alleles of Vrn-1 had the largest effect on shortening the time to anthesis, while the Ppd-insensitive allele Ppd-D1a had the most significant positive effect on YLD. Furthermore, alleles at recently identified loci TaTOE-B1 and TaFT3-B1 promoted between 3.8% and 7.6% higher YLD and 4.2% and 10.2% higher HI in the two panels. Further, when the possible effects of the TaTOE-B1 and TaFT3-B1 alleles on the sink and source traits were explored, the favorable allele at TaTOE-B1 showed positive effects on several sink traits related mainly to the grain number. Favorable alleles at TaFT3-B1 followed a different pattern, with positive effects on the traits related to grain weight. The results of this study expanded the wheat breeders’ toolbox in the quest to breed better-adapted and higher-yielding wheat cultivars. Abstract Grain yield (YLD) is a function of the total biomass (BM) and of partitioning the biomass by grains, i.e., the harvest index (HI). The most critical developmental stage for their determination is the flowering time, which mainly depends on the vernalization requirement (Vrn) and photoperiod sensitivity genes (Ppd) loci. Allelic variants at the Vrn, Ppd, and earliness per se (Eps) genes of elite spring wheat genotypes included in High Biomass Association Panel (HiBAP) I and II were used to estimate their effects on the phenological stages BM, HI, and YLD. Each panel was grown for two consecutive years in Northwest Mexico. Spring alleles at Vrn-1 had the largest effect on shortening the time to anthesis, and the Ppd-insensitive allele Ppd-D1a had the most significant positive effect on YLD in both panels. In addition, alleles at TaTOE-B1 and TaFT3-B1 promoted between 3.8% and 7.6% higher YLD and 4.2% and 10.2% higher HI in HiBAP I and II, respectively. When the possible effects of the TaTOE-B1 and TaFT3-B1 alleles on the sink and source traits were explored, the favorable allele at TaTOE-B1 showed positive effects on several sink traits mainly related to grain number. The favorable alleles at TaFT3-B1 followed a different pattern, with positive effects on the traits related to grain weight. The results of this study expanded the wheat breeders’ toolbox in the quest to breed better-adapted and higher-yielding wheat cultivars.
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Fernández-Calleja M, Casas AM, Igartua E. Major flowering time genes of barley: allelic diversity, effects, and comparison with wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:1867-1897. [PMID: 33969431 PMCID: PMC8263424 DOI: 10.1007/s00122-021-03824-z] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Accepted: 03/24/2021] [Indexed: 05/10/2023]
Abstract
This review summarizes the allelic series, effects, interactions between genes and with the environment, for the major flowering time genes that drive phenological adaptation of barley. The optimization of phenology is a major goal of plant breeding addressing the production of high-yielding varieties adapted to changing climatic conditions. Flowering time in cereals is regulated by genetic networks that respond predominately to day length and temperature. Allelic diversity at these genes is at the basis of barley wide adaptation. Detailed knowledge of their effects, and genetic and environmental interactions will facilitate plant breeders manipulating flowering time in cereal germplasm enhancement, by exploiting appropriate gene combinations. This review describes a catalogue of alleles found in QTL studies by barley geneticists, corresponding to the genetic diversity at major flowering time genes, the main drivers of barley phenological adaptation: VRN-H1 (HvBM5A), VRN-H2 (HvZCCTa-c), VRN-H3 (HvFT1), PPD-H1 (HvPRR37), PPD-H2 (HvFT3), and eam6/eps2 (HvCEN). For each gene, allelic series, size and direction of QTL effects, interactions between genes and with the environment are presented. Pleiotropic effects on agronomically important traits such as grain yield are also discussed. The review includes brief comments on additional genes with large effects on phenology that became relevant in modern barley breeding. The parallelisms between flowering time allelic variation between the two most cultivated Triticeae species (barley and wheat) are also outlined. This work is mostly based on previously published data, although we added some new data and hypothesis supported by a number of studies. This review shows the wide variety of allelic effects that provide enormous plasticity in barley flowering behavior, which opens new avenues to breeders for fine-tuning phenology of the barley crop.
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Affiliation(s)
- Miriam Fernández-Calleja
- Department of Genetics and Plant Production, Aula Dei Experimental Station, EEAD-CSIC, Avenida Montañana, 1005, 50059, Zaragoza, Spain
| | - Ana M Casas
- Department of Genetics and Plant Production, Aula Dei Experimental Station, EEAD-CSIC, Avenida Montañana, 1005, 50059, Zaragoza, Spain
| | - Ernesto Igartua
- Department of Genetics and Plant Production, Aula Dei Experimental Station, EEAD-CSIC, Avenida Montañana, 1005, 50059, Zaragoza, Spain.
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19
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Martinez AF, Lister C, Freeman S, Ma J, Berry S, Wingen L, Griffiths S. Resolving a QTL complex for height, heading, and grain yield on chromosome 3A in bread wheat. JOURNAL OF EXPERIMENTAL BOTANY 2021; 72:2965-2978. [PMID: 33578415 PMCID: PMC8023219 DOI: 10.1093/jxb/erab058] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Accepted: 02/11/2021] [Indexed: 05/28/2023]
Abstract
Crop height (Ht), heading date (Hd), and grain yield (GY) are inter-related in wheat. Independent manipulation of each is important for adaptation and performance. Validated quantitative trait loci (QTLs) for all three co-locate on chromosome 3A in the Avalon×Cadenza population, with increased Ht, Hd, and GY contributed by Cadenza. We asked if these are linked or pleiotropic effects using recombinant lines, and showed that Ht and Hd effects are independent. The Chinese Spring equivalent to the newly defined Ht interval contained a gene cluster involved in cell wall growth and displaying high levels of differential transcript expression. The Hd locus is larger and rearranged compared with the reference genome, but FT2 (Flowering Locus T2) is of particular interest. The Hd effect acted independently of photoperiod and vernalization, but did exhibit seasonal genotype×environment interaction. Recombinants were phenotyped for GY in replicated field experiments. GY was most associated with Cadenza alleles for later Hd, supporting physiological studies using the same lines proposing that 'late' alleles at this locus increase spike fertility and grain number (GN). The work has uncoupled height from heading and yield, and shown that one of very few validated GY QTLs in wheat is probably mediated by phenological variation.
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Affiliation(s)
| | - Clare Lister
- John Innes Centre, Colney Lane, Norwich NR4 7UH, UK
| | - Sue Freeman
- John Innes Centre, Colney Lane, Norwich NR4 7UH, UK
| | - Jun Ma
- College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100094, China
| | - Simon Berry
- Limagrain UK, Woolpit Business Park, Woolpit, Bury St Edmunds, Suffolk,UK
| | - Luzie Wingen
- John Innes Centre, Colney Lane, Norwich NR4 7UH, UK
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20
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Hu R, Xiao J, Zhang Q, Gu T, Chang J, Yang G, He G. A light-regulated gene, TaLWD1L-A, affects flowering time in transgenic wheat (Triticum aestivum L.). PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2020; 299:110623. [PMID: 32900433 DOI: 10.1016/j.plantsci.2020.110623] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 07/14/2020] [Accepted: 07/23/2020] [Indexed: 06/11/2023]
Abstract
Flowering time is an important agronomic trait that greatly influences plant architecture and grain yield in cereal crops. The present study identified a light-regulated gene, TaLWD1L-A, from hexaploid wheat that encodes a WD40 domain-containing protein. TaLWD1L-A was localized in the nucleus. Phenotypic analysis demonstrated that TaLWD1L-A overexpression in transgenic wheat led to an obvious early flowering phenotype. Upregulation of the floral activator gene TaFT1 caused the early flowering phenotype in transgenic wheat plants. TaLWD1L-A also affected the expression of circadian clock genes, including TaTOC1, TaLHY, TaPRR59, TaPRR73 and TaPRR95, and indirectly regulated the expression of the TaFT1 in transgenic plants by affecting the expression of vernalization-related genes TaVRN1 and TaVRN2 and photoperiod-related genes TaPpd-1 and TaGI. The early flowering phenotype in TaLWD1L-A-overexpressing transgenic lines led to a relatively shorter phenotype and yield reduction. Our results revealed that TaLWD1L-A affected the expression of circadian clock-related genes and played an important role in wheat flowering regulation by influencing the expression of genes related to vernalization and photoperiod pathways.
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Affiliation(s)
- Rui Hu
- The Genetic Engineering International Cooperation Base of Chinese Ministry of Science and Technology, Key Laboratory of Molecular Biophysics of Chinese Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology (HUST), Wuhan 430074, China
| | - Jie Xiao
- The Genetic Engineering International Cooperation Base of Chinese Ministry of Science and Technology, Key Laboratory of Molecular Biophysics of Chinese Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology (HUST), Wuhan 430074, China
| | - Qian Zhang
- The Genetic Engineering International Cooperation Base of Chinese Ministry of Science and Technology, Key Laboratory of Molecular Biophysics of Chinese Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology (HUST), Wuhan 430074, China
| | - Ting Gu
- The Genetic Engineering International Cooperation Base of Chinese Ministry of Science and Technology, Key Laboratory of Molecular Biophysics of Chinese Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology (HUST), Wuhan 430074, China
| | - Junli Chang
- The Genetic Engineering International Cooperation Base of Chinese Ministry of Science and Technology, Key Laboratory of Molecular Biophysics of Chinese Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology (HUST), Wuhan 430074, China.
| | - Guangxiao Yang
- The Genetic Engineering International Cooperation Base of Chinese Ministry of Science and Technology, Key Laboratory of Molecular Biophysics of Chinese Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology (HUST), Wuhan 430074, China.
| | - Guangyuan He
- The Genetic Engineering International Cooperation Base of Chinese Ministry of Science and Technology, Key Laboratory of Molecular Biophysics of Chinese Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology (HUST), Wuhan 430074, China.
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21
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Chen Z, Cheng X, Chai L, Wang Z, Du D, Wang Z, Bian R, Zhao A, Xin M, Guo W, Hu Z, Peng H, Yao Y, Sun Q, Ni Z. Pleiotropic QTL influencing spikelet number and heading date in common wheat (Triticum aestivum L.). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:1825-1838. [PMID: 32016554 DOI: 10.1007/s00122-020-03556-6] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Accepted: 01/24/2020] [Indexed: 05/23/2023]
Abstract
Three pleiotropic QTL regions associated with spikelet number and heading date were identified, with FT-A1 considered the candidate gene for QTspn/Hd.cau-7A. Spikelet number traits and heading date (HD) play key roles in yield improvement of wheat and its wide adaptation to different environments. Here, we used a Recombinant Inbred Lines population derived from a cross between Yi5029 (5029) and Nongda4332 (4332) to construct a high-density genetic linkage map and identify quantitative trait loci (QTL) associated with total spikelet number per spike (TSPN), fertile spikelet number per spike (FSPN), sterile spikelet number per spike (SSPN) and HD. A total of 22 environmentally stable QTL for TSPN, FSPN, SSPN and HD were identified. Notably, three pleiotropic QTL regions for TSPN and HD were detected on chromosomes 2A, 7A and 7D. The QTL associated with TSPN and HD on chromosome 7AS was designated QTspn/Hd.cau-7A. Furthermore, the candidate gene FT-A1 located in the region of QTspn/Hd.cau-7A had a single-nucleotide polymorphism (T-G) within the third exon, which might be the cause of diversity in spikelet number and HD between the two parents. Additionally, we developed a semi-thermal asymmetric reverse PCR (STARP) marker to analyze the geographical distribution and evolution of FT-A1 (T or G) alleles. This study contributes to our understanding of the molecular mechanisms of the four traits (TSPN, FSPN, SSPN and HD) and provides further insights into the genetic relationship between spikelet number traits and HD in wheat.
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Affiliation(s)
- Zhaoyan Chen
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
- National Plant Gene Research Centre, Beijing, 100193, China
| | - Xuejiao Cheng
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
- National Plant Gene Research Centre, Beijing, 100193, China
| | - Lingling Chai
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
- National Plant Gene Research Centre, Beijing, 100193, China
| | - Zihao Wang
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
- National Plant Gene Research Centre, Beijing, 100193, China
| | - Dejie Du
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
- National Plant Gene Research Centre, Beijing, 100193, China
| | - Zhihui Wang
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
- National Plant Gene Research Centre, Beijing, 100193, China
| | - Ruolin Bian
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
- National Plant Gene Research Centre, Beijing, 100193, China
| | - Aiju Zhao
- Hebei Crop Genetic Breeding Laboratory, Institute of Cereal and Oil Crops, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, 050035, China
| | - Mingming Xin
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
- National Plant Gene Research Centre, Beijing, 100193, China
| | - Weilong Guo
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
- National Plant Gene Research Centre, Beijing, 100193, China
| | - Zhaorong Hu
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
- National Plant Gene Research Centre, Beijing, 100193, China
| | - Huiru Peng
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
- National Plant Gene Research Centre, Beijing, 100193, China
| | - Yingyin Yao
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
- National Plant Gene Research Centre, Beijing, 100193, China
| | - Qixin Sun
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
- National Plant Gene Research Centre, Beijing, 100193, China
| | - Zhongfu Ni
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China.
- National Plant Gene Research Centre, Beijing, 100193, China.
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22
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Ruan Y, Zhang W, Knox RE, Berraies S, Campbell HL, Ragupathy R, Boyle K, Polley B, Henriquez MA, Burt A, Kumar S, Cuthbert RD, Fobert PR, Buerstmayr H, DePauw RM. Characterization of the Genetic Architecture for Fusarium Head Blight Resistance in Durum Wheat: The Complex Association of Resistance, Flowering Time, and Height Genes. FRONTIERS IN PLANT SCIENCE 2020; 11:592064. [PMID: 33424887 PMCID: PMC7786293 DOI: 10.3389/fpls.2020.592064] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 11/30/2020] [Indexed: 05/22/2023]
Abstract
Durum wheat is an economically important crop for Canadian farmers. Fusarium head blight (FHB) is one of the most destructive diseases that threatens durum production in Canada. FHB reduces yield and end-use quality and most commonly contaminates the grain with the fungal mycotoxin deoxynivalenol, also known as DON. Serious outbreaks of FHB can occur in durum wheat in Canada, and combining genetic resistance with fungicide application is a cost effective approach to control this disease. However, there is limited variation for genetic resistance to FHB in elite Canadian durum cultivars. To explore and identify useful genetic FHB resistance variation for the improvement of Canadian durum wheat, we assembled an association mapping (AM) panel of diverse durum germplasms and performed genome wide association analysis (GWAS). Thirty-one quantitative trait loci (QTL) across all 14 chromosomes were significantly associated with FHB resistance. On 3BS, a stable QTL with a larger effect for resistance was located close to the centromere of 3BS. Three haplotypes of Fhb1 QTL were identified, with an emmer wheat haplotype contributing to disease susceptibility. The large number of QTL identified here can provide a rich resource to improve FHB resistance in commercially grown durum wheat. Among the 31 QTL most were associated with plant height and/or flower time. QTL 1A.1, 1A.2, 3B.2, 5A.1, 6A.1, 7A.3 were associated with FHB resistance and not associated or only weakly associated with flowering time nor plant height. These QTL have features that would make them good targets for FHB resistance breeding.
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Affiliation(s)
- Yuefeng Ruan
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Wentao Zhang
- Aquatic and Crop Resource Development Research Centre, National Research Council of Canada, Saskatoon, SK, Canada
- *Correspondence: Wentao Zhang,
| | - Ron E. Knox
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Samia Berraies
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Heather L. Campbell
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Raja Ragupathy
- Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, Lethbridge, AB, Canada
| | - Kerry Boyle
- Aquatic and Crop Resource Development Research Centre, National Research Council of Canada, Saskatoon, SK, Canada
| | - Brittany Polley
- Aquatic and Crop Resource Development Research Centre, National Research Council of Canada, Saskatoon, SK, Canada
| | - Maria Antonia Henriquez
- Morden Research and Development Centre, Agriculture and Agri-Food Canada, Morden, MB, Canada
| | - Andrew Burt
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada
| | - Santosh Kumar
- Brandon Research and Development Centre, Agriculture and Agri-Food Canada, Brandon, MB, Canada
| | - Richard D. Cuthbert
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Pierre R. Fobert
- Aquatic and Crop Resource Development Research Centre, National Research Council of Canada, Ottawa, ON, Canada
| | | | - Ron M. DePauw
- Advancing Wheat Technology, Swift Current, SK, Canada
- Retired from Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
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23
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Luján Basile SM, Ramírez IA, Crescente JM, Conde MB, Demichelis M, Abbate P, Rogers WJ, Pontaroli AC, Helguera M, Vanzetti LS. Haplotype block analysis of an Argentinean hexaploid wheat collection and GWAS for yield components and adaptation. BMC PLANT BIOLOGY 2019; 19:553. [PMID: 31842779 PMCID: PMC6916457 DOI: 10.1186/s12870-019-2015-4] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Accepted: 09/03/2019] [Indexed: 05/06/2023]
Abstract
BACKGROUND Increasing wheat (Triticum aestivum L.) production is required to feed a growing human population. In order to accomplish this task a deeper understanding of the genetic structure of cultivated wheats and the detection of genomic regions significantly associated with the regulation of important agronomic traits are necessary steps. To better understand the genetic basis and relationships of adaptation and yield related traits, we used a collection of 102 Argentinean hexaploid wheat cultivars genotyped with the 35k SNPs array, grown from two to six years in three different locations. Based on SNPs data and gene-related molecular markers, we performed a haplotype block characterization of the germplasm and a genome-wide association study (GWAS). RESULTS The genetic structure of the collection revealed four subpopulations, reflecting the origin of the germplasm used by the main breeding programs in Argentina. The haplotype block characterization showed 1268 blocks of different sizes spread along the genome, including highly conserved regions like the 1BS chromosome arm where the 1BL/1RS wheat/rye translocation is located. Based on GWAS we identified ninety-seven chromosome regions associated with heading date, plant height, thousand grain weight, grain number per spike and fruiting efficiency at harvest (FEh). In particular FEh stands out as a promising trait to raise yield potential in Argentinean wheats; we detected fifteen haplotypes/markers associated with increased FEh values, eleven of which showed significant effects in all three evaluated locations. In the case of adaptation, the Ppd-D1 gene is consolidated as the main determinant of the life cycle of Argentinean wheat cultivars. CONCLUSION This work reveals the genetic structure of the Argentinean hexaploid wheat germplasm using a wide set of molecular markers anchored to the Ref Seq v1.0. Additionally GWAS detects chromosomal regions (haplotypes) associated with important yield and adaptation components that will allow improvement of these traits through marker-assisted selection.
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Affiliation(s)
- Silvana Marisol Luján Basile
- Laboratorio de Biología Funcional y Biotecnología (BIOLAB)-INBIOTEC-CONICET, Facultad de Agronomía, UNCPBA., Av. República de Italia, Azul, 7300 Argentina
| | - Ignacio Abel Ramírez
- Unidad Integrada Balcarce Facultad de Ciencias Agrarias, Universidad Nacional de Mar del Plata - Estación Experimental Agropecuaria Balcarce, Instituto Nacional de Tecnología, Ruta 226, km 73.5, Balcarce, 24105 Argentina
| | - Juan Manuel Crescente
- Laboratorio de Biotecnología, EEA INTA Marcos Juárez, Grupo Biotecnología y Recursos Genéticos, Instituto Nacional de Tecnología Agropecuaria, Ruta 12 s/n, Marcos Juárez, 2580 Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)., Buenos Aires, Argentina
| | - Maria Belén Conde
- Laboratorio de Biotecnología, EEA INTA Marcos Juárez, Grupo Biotecnología y Recursos Genéticos, Instituto Nacional de Tecnología Agropecuaria, Ruta 12 s/n, Marcos Juárez, 2580 Argentina
| | - Melina Demichelis
- Laboratorio de Biotecnología, EEA INTA Marcos Juárez, Grupo Biotecnología y Recursos Genéticos, Instituto Nacional de Tecnología Agropecuaria, Ruta 12 s/n, Marcos Juárez, 2580 Argentina
| | - Pablo Abbate
- Unidad Integrada Balcarce Facultad de Ciencias Agrarias, Universidad Nacional de Mar del Plata - Estación Experimental Agropecuaria Balcarce, Instituto Nacional de Tecnología, Ruta 226, km 73.5, Balcarce, 24105 Argentina
| | - William John Rogers
- Laboratorio de Biología Funcional y Biotecnología (BIOLAB)-INBIOTEC-CONICET, Facultad de Agronomía, UNCPBA., Av. República de Italia, Azul, 7300 Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)., Buenos Aires, Argentina
| | - Ana Clara Pontaroli
- Unidad Integrada Balcarce Facultad de Ciencias Agrarias, Universidad Nacional de Mar del Plata - Estación Experimental Agropecuaria Balcarce, Instituto Nacional de Tecnología, Ruta 226, km 73.5, Balcarce, 24105 Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)., Buenos Aires, Argentina
| | - Marcelo Helguera
- Laboratorio de Biotecnología, EEA INTA Marcos Juárez, Grupo Biotecnología y Recursos Genéticos, Instituto Nacional de Tecnología Agropecuaria, Ruta 12 s/n, Marcos Juárez, 2580 Argentina
| | - Leonardo Sebastián Vanzetti
- Laboratorio de Biotecnología, EEA INTA Marcos Juárez, Grupo Biotecnología y Recursos Genéticos, Instituto Nacional de Tecnología Agropecuaria, Ruta 12 s/n, Marcos Juárez, 2580 Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)., Buenos Aires, Argentina
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24
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Monteagudo A, Casas AM, Cantalapiedra CP, Contreras-Moreira B, Gracia MP, Igartua E. Harnessing Novel Diversity From Landraces to Improve an Elite Barley Variety. FRONTIERS IN PLANT SCIENCE 2019; 10:434. [PMID: 31031782 PMCID: PMC6470277 DOI: 10.3389/fpls.2019.00434] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Accepted: 03/22/2019] [Indexed: 05/20/2023]
Abstract
The Spanish Barley Core Collection (SBCC) is a source of genetic variability of potential interest for breeding, particularly for adaptation to Mediterranean environments. Two backcross populations (BC2F5) were developed using the elite cultivar Cierzo as the recurrent parent. The donor parents, namely SBCC042 and SBCC073, were selected from the SBCC lines due to their outstanding yield in drought environments. Flowering time, yield and drought-related traits were evaluated in two field trials in Zaragoza (Spain) during the 2014-15 and 2015-16 seasons and validated in the 2017-18 season. Two hundred sixty-four lines of each population were genotyped with the Barley Illumina iSelect 50k SNP chip. Genetic maps for each population were generated. The map for SBCC042 × Cierzo contains 12,893 SNPs distributed in 9 linkage groups. The map for SBCC073 × Cierzo includes 12,026 SNPs in 7 linkage groups. Both populations shared two QTL hotspots. There are QTLs for flowering time, thousand-kernel weight (TKW), and hectoliter weight on a segment of 23 Mb at ~515 Mb on chromosome 1H, which encompasses the HvFT3 gene. In both populations, flowering was accelerated by the landrace allele, which also increased the TKW. In the same region, better soil coverage was contributed by SBCC042 but coincident with a lower hectoliter weight. The second large hotspot was on chromosome 6H and contained QTLs with wide intervals for grain yield, plant height and TKW. Landrace alleles contributed to increased plant height and TKW and reduced grain yield. Only SBCC042 contributed favorable alleles for "green area," with three significant QTLs that increased ground coverage after winter, which might be exploited as an adaptive trait of this landrace. Some genes of interest found in or very close to the peaks of the QTLs are highlighted. Strategies to deploy the QTLs found for breeding and pre-breeding are proposed.
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Affiliation(s)
| | - Ana M. Casas
- Aula Dei Experimental Station (EEAD-CSIC), Zaragoza, Spain
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Ochagavía H, Prieto P, Zikhali M, Griffiths S, Slafer GA. Earliness Per Se by Temperature Interaction on Wheat Development. Sci Rep 2019; 9:2584. [PMID: 30796296 PMCID: PMC6385287 DOI: 10.1038/s41598-019-39201-6] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Accepted: 01/18/2019] [Indexed: 01/18/2023] Open
Abstract
Differences in time to heading that remain after photoperiod and vernalisation requirements have been saturated are classified as earliness per se (Eps) effects. It has been commonly assumed that Eps genes are purely constitutive and independent of environment, although the likely effect of temperature on Eps effects in hexaploid wheat has never been tested. We grew four near isogenic lines (NILs) for the Eps gene located in chromosome 1D (Eps-D1) at 6, 9, 12, 15, 18, 21 and 24 °C. In line with expectations we found that lines carrying the Eps-late allele were always later than those with Eps-early alleles. But in addition, we reported for the first time that the magnitude of the effect increased with decreasing temperature: an Eps x temperature interaction in hexaploid wheat. Variation in heading time due to Eps x temperature was associated with an increase in sensitivity to temperature mainly during late reproductive phase. Moreover, we showed that Eps alleles exhibited differences in cardinal (base, optimum, maximum) temperatures and that the expression of ELF3, (the likely candidate for Eps-D1) also interacted with temperature.
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Affiliation(s)
- Helga Ochagavía
- Department of Crop and Forest Sciences and AGROTECNIO (Center for Research in Agrotechnology), University of Lleida, Av. Rovira Roure 191, 25198, Lleida, Spain
| | - Paula Prieto
- Department of Crop and Forest Sciences and AGROTECNIO (Center for Research in Agrotechnology), University of Lleida, Av. Rovira Roure 191, 25198, Lleida, Spain
| | - Meluleki Zikhali
- John Innes Centre, Norwich Research Park, Colney Ln, Norwich, NR4 7UH, United Kingdom.,Seed Co Limited, Rattray Arnold Research Station, PO Box CH142, Harare, Zimbabwe
| | - Simon Griffiths
- John Innes Centre, Norwich Research Park, Colney Ln, Norwich, NR4 7UH, United Kingdom
| | - Gustavo A Slafer
- Department of Crop and Forest Sciences and AGROTECNIO (Center for Research in Agrotechnology), University of Lleida, Av. Rovira Roure 191, 25198, Lleida, Spain. .,ICREA, Catalonian Institution for Research and Advanced Studies, Barcelona, Spain.
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Divergent roles of FT-like 9 in flowering transition under different day lengths in Brachypodium distachyon. Nat Commun 2019; 10:812. [PMID: 30778068 PMCID: PMC6379408 DOI: 10.1038/s41467-019-08785-y] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Revised: 01/24/2019] [Accepted: 01/30/2019] [Indexed: 12/13/2022] Open
Abstract
Timing of reproductive transition is precisely modulated by environmental cues in flowering plants. Facultative long-day plants, including Arabidopsis and temperate grasses, trigger rapid flowering in long-day conditions (LDs) and delay flowering under short-day conditions (SDs). Here, we characterize a SD-induced FLOWERING LOCUS T ortholog, FT-like 9 (FTL9), that promotes flowering in SDs but inhibits flowering in LDs in Brachypodium distachyon. Mechanistically, like photoperiod-inductive FT1, FTL9 can interact with FD1 to form a flowering activation complex (FAC), but the floral initiation efficiency of FTL9-FAC is much lower than that of FT1-FAC, thereby resulting in a positive role for FTL9 in promoting floral transition when FT1 is not expressed, but a dominant-negative role when FT1 accumulates significantly. We also find that CONSTANS 1 (CO1) can suppress FTL9 in addition to stimulate FT1 to enhance accelerated flowering under LDs. Our findings on the antagonistic functions of FTL9 under different day-length environments will contribute to understanding the multifaceted roles of FT in fine-tune modulation of photoperiodic flowering in plants. Plant flowering time is modified by day length. Here the authors show that the model grass Brachypodium distachyon expresses different homologs of FT in short and long days to produce floral activator complexes with altered activities contributing to photoperiod-dependence of flowering time.
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Liu H, Song S, Xing Y. Beyond heading time: FT-like genes and spike development in cereals. JOURNAL OF EXPERIMENTAL BOTANY 2019; 70:1-3. [PMID: 30590673 PMCID: PMC6305181 DOI: 10.1093/jxb/ery408] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2023]
Abstract
This article comments on: Shaw LM, Lyu B, Turner R, Li C, Chen F, Han X, Fu D, Dubcovsky J. 2018. FLOWERING LOCUS T2 regulates spike development and fertility in temperate cereals. Journal of Experimental Botany 70, 193–204.
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Affiliation(s)
- Haiyang Liu
- National Key Lab of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Song Song
- National Key Lab of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Yongzhong Xing
- National Key Lab of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
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