101
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Miki Y, Yoshida K, Enoki H, Komura S, Suzuki K, Inamori M, Nishijima R, Takumi S. GRAS-Di system facilitates high-density genetic map construction and QTL identification in recombinant inbred lines of the wheat progenitor Aegilops tauschii. Sci Rep 2020; 10:21455. [PMID: 33293651 PMCID: PMC7723059 DOI: 10.1038/s41598-020-78589-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 11/24/2020] [Indexed: 12/12/2022] Open
Abstract
Due to large and complex genomes of Triticeae species, skim sequencing approaches have cost and analytical advantages for detecting genetic markers and building linkage maps. Here, we develop a high-density linkage map and identify quantitative trait loci (QTLs) for recombinant inbred lines of Aegilops tauschii, a D-genome donor of bread wheat, using the recently developed genotyping by Random Amplicon Sequencing-Direct (GRAS-Di) system, which facilitates skimming of the large and complicated genome and generates a large number of genetic markers. The deduced linkage groups based on the GRAS-Di genetic markers corresponded to the chromosome number of Ae. tauschii. We successfully identified stable QTLs for flowering time and spikelet shape-related traits. Genotype differences of RILs at the QTL-linked markers were significantly associated with the trait variations. In particular, one of the QTL-linked markers for flowering time was mapped close to VRN3 (also known as FLOWERING LOCUS T), which controls flowering. The GRAS-Di system is, therefore, an efficient and useful application for genotyping and linkage mapping in species with large and complex genomes, such as Triticeae species.
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Affiliation(s)
- Yuka Miki
- Graduate School of Agricultural Science, Kobe University, Rokkodai 1-1, Nada, Kobe, Japan
| | - Kentaro Yoshida
- Graduate School of Agricultural Science, Kobe University, Rokkodai 1-1, Nada, Kobe, Japan.
| | - Hiroyuki Enoki
- toyota Motor Corporation, 1099, Marune, Kurozasa-cho, Miyoshi, Aichi, Japan
| | - Shoya Komura
- Graduate School of Agricultural Science, Kobe University, Rokkodai 1-1, Nada, Kobe, Japan
| | - Kazuyo Suzuki
- toyota Motor Corporation, 1099, Marune, Kurozasa-cho, Miyoshi, Aichi, Japan
| | - Minoru Inamori
- toyota Motor Corporation, 1099, Marune, Kurozasa-cho, Miyoshi, Aichi, Japan
| | - Ryo Nishijima
- Graduate School of Agricultural Science, Kobe University, Rokkodai 1-1, Nada, Kobe, Japan
| | - Shigeo Takumi
- Graduate School of Agricultural Science, Kobe University, Rokkodai 1-1, Nada, Kobe, Japan
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102
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Scott MF, Ladejobi O, Amer S, Bentley AR, Biernaskie J, Boden SA, Clark M, Dell'Acqua M, Dixon LE, Filippi CV, Fradgley N, Gardner KA, Mackay IJ, O'Sullivan D, Percival-Alwyn L, Roorkiwal M, Singh RK, Thudi M, Varshney RK, Venturini L, Whan A, Cockram J, Mott R. Multi-parent populations in crops: a toolbox integrating genomics and genetic mapping with breeding. Heredity (Edinb) 2020; 125:396-416. [PMID: 32616877 PMCID: PMC7784848 DOI: 10.1038/s41437-020-0336-6] [Citation(s) in RCA: 79] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 06/16/2020] [Accepted: 06/16/2020] [Indexed: 11/21/2022] Open
Abstract
Crop populations derived from experimental crosses enable the genetic dissection of complex traits and support modern plant breeding. Among these, multi-parent populations now play a central role. By mixing and recombining the genomes of multiple founders, multi-parent populations combine many commonly sought beneficial properties of genetic mapping populations. For example, they have high power and resolution for mapping quantitative trait loci, high genetic diversity and minimal population structure. Many multi-parent populations have been constructed in crop species, and their inbred germplasm and associated phenotypic and genotypic data serve as enduring resources. Their utility has grown from being a tool for mapping quantitative trait loci to a means of providing germplasm for breeding programmes. Genomics approaches, including de novo genome assemblies and gene annotations for the population founders, have allowed the imputation of rich sequence information into the descendent population, expanding the breadth of research and breeding applications of multi-parent populations. Here, we report recent successes from crop multi-parent populations in crops. We also propose an ideal genotypic, phenotypic and germplasm 'package' that multi-parent populations should feature to optimise their use as powerful community resources for crop research, development and breeding.
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Affiliation(s)
| | | | - Samer Amer
- University of Reading, Reading, RG6 6AH, UK
- Faculty of Agriculture, Alexandria University, Alexandria, 23714, Egypt
| | - Alison R Bentley
- The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, UK
| | - Jay Biernaskie
- Department of Plant Sciences, University of Oxford, South Parks Road, Oxford, OX1 3RB, UK
| | - Scott A Boden
- School of Agriculture, Food and Wine, University of Adelaide, Glen Osmond, SA, 5064, Australia
| | | | | | - Laura E Dixon
- Faculty of Biological Sciences, University of Leeds, Leeds, LS2 9JT, UK
| | - Carla V Filippi
- Instituto de Agrobiotecnología y Biología Molecular (IABIMO), INTA-CONICET, Nicolas Repetto y Los Reseros s/n, 1686, Hurlingham, Buenos Aires, Argentina
| | - Nick Fradgley
- The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, UK
| | - Keith A Gardner
- The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, UK
| | - Ian J Mackay
- SRUC, West Mains Road, Kings Buildings, Edinburgh, EH9 3JG, UK
| | | | | | - Manish Roorkiwal
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Rakesh Kumar Singh
- International Center for Biosaline Agriculture, Academic City, Dubai, United Arab Emirates
| | - Mahendar Thudi
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Rajeev Kumar Varshney
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | | | - Alex Whan
- CSIRO, GPO Box 1700, Canberra, ACT, 2601, Australia
| | - James Cockram
- The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, UK
| | - Richard Mott
- UCL Genetics Institute, Gower Street, London, WC1E 6BT, UK
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103
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Dobrovolskaya OB. Supernumerary Spikelet Wheat Forms as Models for Studying Genetic Regulation of Inflorescence Development. RUSS J GENET+ 2020. [DOI: 10.1134/s1022795420110034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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104
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Gao G, Kan J, Jiang C, Ahmar S, Zhang J, Yang P. Genome-wide diversity analysis of TCP transcription factors revealed cases of selection from wild to cultivated barley. Funct Integr Genomics 2020; 21:31-42. [PMID: 33169329 DOI: 10.1007/s10142-020-00759-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2020] [Revised: 10/15/2020] [Accepted: 11/03/2020] [Indexed: 11/28/2022]
Abstract
Plant-specific TEOSINTE BRANCHED 1/CYCLOIDEA/PROLIFERATING CELL FACTORS 1/2 (TCP) transcription factors have known roles in inflorescence architecture. In barley, there are two family members INTERMEDIUM-C (INT-c/HvTB1-1) and COMPOSITUM 1 (COM1/HvTCP24) which are involved in the manipulation of spike architecture, whereas the participation of TCP family genes in selection from wild (Hordeum vulgare subsp. spontaneum, Hs) to cultivated barley (Hordeum vulgare subsp. vulgare, Hv) remains poorly investigated. Here, by conducting a genome-wide survey for TCP-like sequences in publicly-released datasets, 22 HsTCP and 20 HvTCP genes encoded for mature proteins were identified and assigned into two classes (I and II) based on their functional domains and the phylogenetic analysis. Each counterpart of the orthologous gene in wild and cultivated barley usually represented a similarity on the transcriptional profile across the tissues. The diversity analysis of TCPs in 90 wild barley accessions and 137 landraces with geographically-referenced passport information revealed the detectable selection at three loci including INT-c/HvTB1-1, HvPCF2, and HvPCF8. Especially, the HvPCF8 haplotypes in cultivated barley were found correlating with their geographical collection sites. There was no difference observed in either transactivation activity in yeast or subcellular localization in Nicotiana benthamiana among these haplotypes. Nevertheless, the genome-wide diversity analysis of barley TCP genes in wild and cultivated populations provided insight for future functional characterization in plant development such as spike architecture.
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Affiliation(s)
- Guangqi Gao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Jinhong Kan
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Congcong Jiang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Sunny Ahmar
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Jing Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Ping Yang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
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105
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Zhao D, Yang L, Xu K, Cao S, Tian Y, Yan J, He Z, Xia X, Song X, Zhang Y. Identification and validation of genetic loci for tiller angle in bread wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:3037-3047. [PMID: 32685984 DOI: 10.1007/s00122-020-03653-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 07/08/2020] [Indexed: 05/26/2023]
Abstract
KEY MESSAGE Two major QTL for tiller angle were identified on chromosomes 1AL and 5DL, and TaTAC-D1 might be the candidate gene for QTA.caas-5DL. An ideal plant architecture is important for achieving high grain yield in crops. Tiller angle (TA) is an important factor influencing yield. In the present study, 266 recombinant inbred lines (RILs) derived from a cross between Zhongmai 871 (ZM871) and its sister line Zhongmai 895 (ZM895) was used to map TA by extreme pool-genotyping and inclusive composite interval mapping (ICIM). Two quantitative trait loci (QTL) on chromosomes 1AL and 5DL were identified with reduced tiller angle alleles contributed by ZM895. QTA.caas-1AL was detected in six environments, explaining 5.4-11.2% of the phenotypic variances. The major stable QTL, QTA.caas-5DL, was identified in all eight environments, accounting for 13.8-24.8% of the phenotypic variances. The two QTL were further validated using BC1F4 populations derived from backcrosses ZM871/ZM895//ZM871 (121 lines) and ZM871/ZM895//ZM895 (175 lines). Gene TraesCS5D02G322600, located in the 5DL QTL and designated TaTAC-D1, had a SNP in the third exon with 'A' and 'G' in ZM871 and ZM895, respectively, resulting in a Thr169Ala amino acid change. A KASP marker based on this SNP was validated in two sets of germplasm, providing further evidence for the significant effects of TaTAC-D1 on TA. Thus extreme pool-genotyping can be employed to detect QTL for plant architecture traits and KASP markers tightly linked with the QTL can be used in wheat breeding programs targeting improved plant architecture.
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Affiliation(s)
- Dehui Zhao
- Institute of Crop Sciences, National Wheat Improvement Centre, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
- College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi province, China
| | - Li Yang
- Institute of Crop Sciences, National Wheat Improvement Centre, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Kaijie Xu
- Institute of Cotton Research, CAAS, 38 Huanghe Dadao, Anyang, 455000, Henan province, China
| | - Shuanghe Cao
- Institute of Crop Sciences, National Wheat Improvement Centre, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Yubing Tian
- Institute of Crop Sciences, National Wheat Improvement Centre, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Jun Yan
- Institute of Cotton Research, CAAS, 38 Huanghe Dadao, Anyang, 455000, Henan province, China
| | - Zhonghu He
- Institute of Crop Sciences, National Wheat Improvement Centre, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
- CIMMYT-China Office, c/o CAAS, 12 Zhongguancun South Street, Beijing, 100081, China
| | - Xianchun Xia
- Institute of Crop Sciences, National Wheat Improvement Centre, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Xiyue Song
- College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi province, China.
| | - Yong Zhang
- Institute of Crop Sciences, National Wheat Improvement Centre, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China.
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106
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Guo W, Chen L, Herrera-Estrella L, Cao D, Tran LSP. Altering Plant Architecture to Improve Performance and Resistance. TRENDS IN PLANT SCIENCE 2020; 25:1154-1170. [PMID: 32595089 DOI: 10.1016/j.tplants.2020.05.009] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Revised: 05/11/2020] [Accepted: 05/26/2020] [Indexed: 06/11/2023]
Abstract
High-stress resistance and yield are major goals in crop cultivation, which can be addressed by modifying plant architecture. Significant progress has been made in recent years to understand how plant architecture is controlled under various growth conditions, recognizing the central role phytohormones play in response to environmental stresses. miRNAs, transcription factors, and other associated proteins regulate plant architecture, mainly via the modulation of hormone homeostasis and signaling. To generate crop plants of ideal architecture, we propose simultaneous editing of multiple genes involved in the regulatory networks associated with plant architecture as a feasible strategy. This strategy can help to address the need to increase grain yield and/or stress resistance under the pressures of the ever-increasing world population and climate change.
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Affiliation(s)
- Wei Guo
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China
| | - Limiao Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China
| | - Luis Herrera-Estrella
- The Unidad de Genomica Avanzada (Langebio), Centro de Investigación y de Estudios Avanzados del IPN, Irapuato, Guanajuato, Mexico; Institute of Genomics for Crop Abiotic Stress Tolerance, Texas Tech University, TX, USA
| | - Dong Cao
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China.
| | - Lam-Son Phan Tran
- Institute of Research and Development, Duy Tan University, 03 Quang Trung, Da Nang 550000, Vietnam; Stress Adaptation Research Unit, RIKEN Center for Sustainable Resource Science, 1-7-22, Suehiro-cho, Tsurumi, Yokohama 230-0045, Japan.
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107
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Zhang W, Boyle K, Brûlé-Babel AL, Fedak G, Gao P, Robleh Djama Z, Polley B, Cuthbert RD, Randhawa HS, Jiang F, Eudes F, Fobert PR. Genetic Characterization of Multiple Components Contributing to Fusarium Head Blight Resistance of FL62R1, a Canadian Bread Wheat Developed Using Systemic Breeding. FRONTIERS IN PLANT SCIENCE 2020; 11:580833. [PMID: 33193525 PMCID: PMC7649146 DOI: 10.3389/fpls.2020.580833] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 09/16/2020] [Indexed: 05/07/2023]
Abstract
Fusarium head blight (FHB) is a devastating fungal disease of small-grain cereals that results in severe yield and quality losses. FHB resistance is controlled by resistance components including incidence, field severity, visual rating index, Fusarium damaged kernels (FDKs), and the accumulation of the mycotoxin deoxynivalenol (DON). Resistance conferred by each of these components is partial and must be combined to achieve resistance sufficient to protect wheat from yield losses. In this study, two biparental mapping populations were analyzed in Canadian FHB nurseries and quantitative trait loci (QTL) mapped for the traits listed above. Nine genomic loci, on 2AS, 2BS, 3BS, 4AS, 4AL, 4BS, 5AS, 5AL, and 5BL, were enriched for the majority of the QTL controlling FHB resistance. The previously validated FHB resistance QTL on 3BS and 5AS affected resistance to severity, FDK, and DON in these populations. The remaining seven genomic loci colocalize with flowering time and/or plant height QTL. The QTL on 4B was a major contributor to all field resistance traits and plant height in the field. QTL on 4AL showed contrasting effects for FHB resistance between Eastern and Western Canada, indicating a local adapted resistance to FHB. In addition, we also found that the 2AS QTL contributed a major effect for DON, and the 2BS for FDK, while the 5AL conferred mainly effect for both FDK/DON. Results presented here provide insight into the genetic architecture underlying these resistant components and insight into how FHB resistance in wheat is controlled by a complex network of interactions between genes controlling flowering time, plant height, local adaption, and FHB resistance components.
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Affiliation(s)
- Wentao Zhang
- Aquatic and Crop Resources Development, National Research Council of Canada, Saskatoon, SK, Canada
| | - Kerry Boyle
- Aquatic and Crop Resources Development, National Research Council of Canada, Saskatoon, SK, Canada
| | | | - George Fedak
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada
| | - Peng Gao
- Aquatic and Crop Resources Development, National Research Council of Canada, Saskatoon, SK, Canada
| | - Zeinab Robleh Djama
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada
- Aquatic and Crop Resources Development, National Research Council of Canada, Ottawa, ON, Canada
| | - Brittany Polley
- Aquatic and Crop Resources Development, National Research Council of Canada, Saskatoon, SK, Canada
| | - Richard D. Cuthbert
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Harpinder S. Randhawa
- Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, Lethbridge, AB, Canada
| | - Fengying Jiang
- Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, Lethbridge, AB, Canada
| | - François Eudes
- Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, Lethbridge, AB, Canada
| | - Pierre R. Fobert
- Aquatic and Crop Resources Development, National Research Council of Canada, Saskatoon, SK, Canada
- Aquatic and Crop Resources Development, National Research Council of Canada, Ottawa, ON, Canada
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108
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Molecular and genetic pathways for optimizing spikelet development and grain yield. ABIOTECH 2020; 1:276-292. [PMID: 36304128 PMCID: PMC9590455 DOI: 10.1007/s42994-020-00026-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Accepted: 07/11/2020] [Indexed: 01/25/2023]
Abstract
The spikelet is a unique structure of inflorescence in grasses that generates one to many flowers depending on its determinate or indeterminate meristem activity. The growth patterns and number of spikelets, furthermore, define inflorescence architecture and yield. Therefore, understanding the molecular mechanisms underlying spikelet development and evolution are attractive to both biologists and breeders. Based on the progress in rice and maize, along with increasing numbers of genetic mutants and genome sequences from other grass families, the regulatory networks underpinning spikelet development are becoming clearer. This is particularly evident for domesticated traits in agriculture. This review focuses on recent progress on spikelet initiation, and spikelet and floret fertility, by comparing results from Arabidopsis with that of rice, sorghum, maize, barley, wheat, Brachypodium distachyon, and Setaria viridis. This progress may benefit genetic engineering and molecular breeding to enhance grain yield.
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109
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Daba SD, Liu X, Aryal U, Mohammadi M. A proteomic analysis of grain yield-related traits in wheat. AOB PLANTS 2020; 12:plaa042. [PMID: 33133478 PMCID: PMC7586745 DOI: 10.1093/aobpla/plaa042] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Accepted: 08/19/2020] [Indexed: 05/13/2023]
Abstract
Grain yield, which is mainly contributed by tillering capacity as well as kernel number and weight, is the most important trait to plant breeders and agronomists. Label-free quantitative proteomics was used to analyse yield-contributing organs in wheat. These were leaf sample, tiller initiation, spike initiation, ovary and three successive kernel development stages at 5, 10 and 15 days after anthesis (DAA). We identified 3182 proteins across all samples. The largest number was obtained for spike initiation (1673), while the smallest was kernel sample at 15 DAA (709). Of the 3182 proteins, 296 of them were common to all seven organs. Organ-specific proteins ranged from 148 in ovary to 561 in spike initiation. When relative protein abundances were compared to that of leaf sample, 347 and 519 proteins were identified as differentially abundant in tiller initiation and spike initiation, respectively. When compared with ovary, 81, 35 and 96 proteins were identified as differentially abundant in kernels sampled at 5, 10 and 15 DAA, respectively. Our study indicated that two Argonaute proteins were solely expressed in spike initiation. Of the four expansin proteins detected, three of them were mainly expressed during the first 10 days of kernel development after anthesis. We also detected cell wall invertases and sucrose and starch synthases mainly during the kernel development period. The manipulation of these proteins could lead to increases in tillers, kernels per spike or final grain weight, and is worth exploring in future studies.
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Affiliation(s)
- Sintayehu D Daba
- Department of Agronomy, Purdue University, West Lafayette, IN, USA
| | - Xiaoqin Liu
- Department of Agronomy, Purdue University, West Lafayette, IN, USA
| | - Uma Aryal
- Purdue Proteomics Facility, Bindley Bioscience Center, Purdue University, West Lafayette, IN, USA
| | - Mohsen Mohammadi
- Department of Agronomy, Purdue University, West Lafayette, IN, USA
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110
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Liu Y, Wang W, Yang B, Currey C, Fei SZ. Functional Analysis of the teosinte branched 1 Gene in the Tetraploid Switchgrass ( Panicum virgatum L.) by CRISPR/Cas9-Directed Mutagenesis. FRONTIERS IN PLANT SCIENCE 2020; 11:572193. [PMID: 33101338 PMCID: PMC7546813 DOI: 10.3389/fpls.2020.572193] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Accepted: 09/03/2020] [Indexed: 05/25/2023]
Abstract
Tillering is an important biomass yield component trait in switchgrass (Panicum virgatum L.). Teosinte branched 1 (tb1)/Branched 1 (BRC1) gene is a known regulator for tillering/branching in several plant species; however, its role on tillering in switchgrass remains unknown. Here, we report physiological and molecular characterization of mutants created by CRISPR/Cas9. We successfully obtained nonchimeric Pvtb1a and Pvtb1b mutants from chimeric T0 mutants using nodal culture. The biallelic Pvtb1a-Pvtb1b mutant plants produced significantly more tillers and higher fresh weight biomass than the wild-type plants. The increased tiller number in the mutant plants resulted primarily from hastened outgrowth of lower axillary buds. Increased tillers were also observed in transgene-free BC1 monoallelic mutants for either Pvtb1a-Pvtb1b or Pvtb1b gene alone, suggesting Pvtb1 genes act in a dosage-dependent manner. Transcriptome analysis showed 831 genes were differentially expressed in the Pvtb1a-Pvtb1b double knockdown mutant. Gene Ontology analysis revealed downregulation of Pvtb1 genes affected multiple biological processes, including transcription, flower development, cell differentiation, and stress/defense responses in edited plants. This study demonstrates that Pvtb1 genes play a pivotal role in tiller production as a negative regulator in switchgrass and provides opportunities for further research aiming to elucidate the molecular pathway regulating tillering in switchgrass.
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Affiliation(s)
- Yang Liu
- Interdepartmental Program in Plant Biology, Iowa State University, Ames, IA, United States
- Department of Horticulture, Iowa State University, Ames, IA, United States
| | - Weiling Wang
- Department of Horticulture, Iowa State University, Ames, IA, United States
- Innovation Center of Rice Cultivation Technology in Yangtze River Valley, Ministry of Agriculture/Key Laboratory of Crop Genetics and Physiology of Jiangsu Province, Yangzhou University, Yangzhou, China
| | - Bing Yang
- Christopher S. Bond Life Sciences Center, Division of Plant Sciences, University of Missouri, Columbia, MO, United States
- Donald Danforth Plant Science Center, St. Louis, MO, United States
| | - Christopher Currey
- Interdepartmental Program in Plant Biology, Iowa State University, Ames, IA, United States
| | - Shui-zhang Fei
- Interdepartmental Program in Plant Biology, Iowa State University, Ames, IA, United States
- Department of Horticulture, Iowa State University, Ames, IA, United States
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111
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Liu J, Tang H, Qu X, Liu H, Li C, Tu Y, Li S, Habib A, Mu Y, Dai S, Deng M, Jiang Q, Liu Y, Chen G, Wang J, Chen G, Li W, Jiang Y, Wei Y, Lan X, Zheng Y, Ma J. A novel, major, and validated QTL for the effective tiller number located on chromosome arm 1BL in bread wheat. PLANT MOLECULAR BIOLOGY 2020; 104:173-185. [PMID: 32734417 DOI: 10.1007/s11103-020-01035-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Accepted: 07/09/2020] [Indexed: 05/24/2023]
Abstract
A novel and major QTL for the effective tiller number was identified on chromosomal arm 1BL and validated in two genetic backgrounds The effective tiller number (ETN) substantially influences plant architecture and the wheat yield improvement. In this study, we constructed a genetic map of the 2SY (20828/SY95-71) recombinant inbred line population based on the Wheat 55K array as well as the simple sequence repeat (SSR) and Kompetitive Allele Specific PCR (KASP) markers. A comparison between the genetic and physical maps indicated the marker positions were consistent in the two maps. Additionally, we identified seven tillering-related quantitative trait locus (QTLs), including Qetn-sau-1B.1, which is a major QTL localized to a 6.17-cM interval flanked by markers AX-89635557 and AX-111544678 on chromosome 1BL. The Qetn-sau-1B.1 QTL was detected in eight environments and explained 12.12-55.71% of the phenotypic variance. Three genes associated with the ETN were detected in the physical interval of Qetn-sau-1B.1. We used a tightly linked KASP marker, KASP-AX-110129912, to further validate this QTL in two other populations with different genetic backgrounds. The results indicated that Qetn-sau-1B.1 significantly increased the ETN by up to 23.5%. The results of this study will be useful for the precise mapping and cloning of Qetn-sau-1B.1.
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Affiliation(s)
- Jiajun Liu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Huaping Tang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Xiangru Qu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Hang Liu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Cong Li
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Yang Tu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Shuiqing Li
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Ahsan Habib
- Biotechnology and Genetic Engineering Discipline, Khulna University, Khulna, 9208, Bangladesh
| | - Yang Mu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Shoufeng Dai
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Mei Deng
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Qiantao Jiang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Yaxi Liu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Guoyue Chen
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Jirui Wang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Guangdeng Chen
- College of Resources, Sichuan Agricultural University, Chengdu, 611130, China
| | - Wei Li
- College of Agronomy, Sichuan Agricultural University, Chengdu, 611130, China
| | - Yunfeng Jiang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Yuming Wei
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Xiujin Lan
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Youliang Zheng
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China.
| | - Jian Ma
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China.
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Igartua E, Contreras-Moreira B, Casas AM. TB1: from domestication gene to tool for many trades. JOURNAL OF EXPERIMENTAL BOTANY 2020; 71:4621-4624. [PMID: 32761247 PMCID: PMC7410175 DOI: 10.1093/jxb/eraa308] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
This article comments on: Dixon LE, Pasquariello M, Boden SA. 2020. TEOSINTE BRANCHED1 regulates height and stem internode length in bread wheat. Journal of Experimental Botany 71, 4742–4750.
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Affiliation(s)
- Ernesto Igartua
- Estación Experimental de Aula Dei, EEAD-CSIC, Zaragoza, Spain
| | - Bruno Contreras-Moreira
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Ana M Casas
- Estación Experimental de Aula Dei, EEAD-CSIC, Zaragoza, Spain
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113
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Dixon LE, Pasquariello M, Boden SA. TEOSINTE BRANCHED1 regulates height and stem internode length in bread wheat. JOURNAL OF EXPERIMENTAL BOTANY 2020; 71:4742-4750. [PMID: 32449515 PMCID: PMC7410180 DOI: 10.1093/jxb/eraa252] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Accepted: 05/18/2020] [Indexed: 05/26/2023]
Abstract
Regulation of plant height and stem elongation has contributed significantly to improvement of cereal productivity by reducing lodging and improving distribution of assimilates to the inflorescence and grain. In wheat, genetic control of height has been largely contributed by the Reduced height-1 alleles that confer gibberellin insensitivity; the beneficial effects of these alleles are associated with less favourable effects involving seedling emergence, grain quality, and inflorescence architecture that have driven new research investigating genetic variation of stem growth. Here, we show that TEOSINTE BRANCHED1 (TB1) regulates height of wheat, with TB1 being expressed at low levels in nodes of the main culm prior to elongation, and increased dosage of TB1 restricting elongation of stem internodes. The effect of TB1 on stem growth is not accompanied by poor seedling emergence, as transgenic lines with increased activity of TB1 form longer coleoptiles than null transgenic controls. Analysis of height in a multiparent mapping population also showed that allelic variation for TB1 on the B genome influences height, with plants containing the variant TB-B1b allele being taller than those with the wild-type TB-B1a allele. Our results show that TB1 restricts height and stem elongation in wheat, suggesting that variant alleles that alter the expression or function of TB1 could be used as a new source of genetic diversity for optimizing architecture of wheat in breeding programmes.
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Affiliation(s)
- Laura E Dixon
- Department of Crop Genetics, John Innes Centre, Colney Lane, Norwich, UK
- School of Biology, Faculty of Biological Sciences, University of Leeds, Leeds, UK
| | | | - Scott A Boden
- Department of Crop Genetics, John Innes Centre, Colney Lane, Norwich, UK
- School of Agriculture, Food and Wine, Waite Research Institute, Waite Research Precinct, University of Adelaide, Glen Osmond, SA, Australia
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114
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Selva C, Riboni M, Baumann U, Würschum T, Whitford R, Tucker MR. Hybrid breeding in wheat: how shaping floral biology can offer new perspectives. FUNCTIONAL PLANT BIOLOGY : FPB 2020; 47:675-694. [PMID: 32534601 DOI: 10.1071/fp19372] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Accepted: 03/21/2020] [Indexed: 06/11/2023]
Abstract
Hybrid breeding in wheat (Triticum aestivum L.) has the potential to deliver major yield increases. This is a requisite to guarantee food security for increasing population demands and to counterbalance the effects of extreme environmental conditions. Successful hybrid breeding in wheat relies on forced outcrossing while preventing self-pollination. To achieve this, research has been directed towards identifying and improving fertility control systems. To maximise cross-pollination and seed set, however, fertility control systems need to be complemented by breeding phenotypically distinct male and female lines. This review summarises existing and novel male sterility systems for wheat hybridisation. We also consider the genetic resources that can be used to alter wheat's floral development and spike morphology, with a focus on the genetic variation already available. Exploiting these resources can lead to enhanced outcrossing, a key requirement in the progress towards hybrid wheat breeding.
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Affiliation(s)
- Caterina Selva
- School of Agriculture Food and Wine, University of Adelaide, Waite Campus, Urrbrae, SA 5064, Australia
| | - Matteo Riboni
- School of Agriculture Food and Wine, University of Adelaide, Waite Campus, Urrbrae, SA 5064, Australia
| | - Ute Baumann
- School of Agriculture Food and Wine, University of Adelaide, Waite Campus, Urrbrae, SA 5064, Australia
| | - Tobias Würschum
- State Plant Breeding Institute, University of Hohenheim, 70593 Stuttgart, Germany
| | - Ryan Whitford
- School of Agriculture Food and Wine, University of Adelaide, Waite Campus, Urrbrae, SA 5064, Australia; and Corresponding authors. ;
| | - Matthew R Tucker
- School of Agriculture Food and Wine, University of Adelaide, Waite Campus, Urrbrae, SA 5064, Australia; and Corresponding authors. ;
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115
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Li J, Wen S, Fan C, Zhang M, Tian S, Kang W, Zhao W, Bi C, Wang Q, Lu S, Guo W, Ni Z, Xie C, Sun Q, You M. Characterization of a major quantitative trait locus on the short arm of chromosome 4B for spike number per unit area in common wheat (Triticum aestivum L.). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:2259-2269. [PMID: 32347319 DOI: 10.1007/s00122-020-03595-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2019] [Accepted: 04/01/2020] [Indexed: 06/11/2023]
Abstract
An InDel marker closely linked with a major and stable quantitative trait locus (QTL) on chromosome 4BS, QSnpa.cau-4B, controlling spike number per unit area will benefit wheat yield improvement. Spike number per unit area (SNPA) is an essential yield-related trait, and analyzing its genetic basis is important for cultivar improvement in wheat (Triticum aestivum L.). In this study, we used the F2 population derived from a cross between two wheat accessions displaying significant differences in SNPA to perform quantitative trait locus (QTL) analysis. Through bulked segregant analysis, a major and stable QTL that explained 18.11-82.11% of the phenotypic variation was identified on chromosome 4BS. The QTL interval was validated using F4:5 and F6:7 families and narrowed it to a 24.91-38.36 Mb region of chromosome 4BS according to the 'Chinese Spring' reference genome sequence. In this region, variations in 16 genes caused amino acid changes and three genes were present in only one parent. Among these, we annotated a gene orthologous to TB1 in maize (Zea mays), namely TraesCS4B01G042700, which carried a 44-bp deletion in its promoter in the higher-SNPA parent. An InDel marker based on the insertion/deletion polymorphism was designed and used to diagnose the allelic distribution within a natural population. The frequency of the 44-bp deletion allele associated with higher SNPA was relatively low (13.24%), implying that this favorable allele has not been widely utilized and could be valuable for wheat yield improvement. In summary, we identified a major and stable QTL for SNPA and developed a diagnostic marker for the more-spiked trait, which will be beneficial for molecular-assisted breeding in wheat.
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Affiliation(s)
- Jinghui Li
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193,, China
| | - Shaozhe Wen
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193,, China
| | - Chaofeng Fan
- Key Laboratory of Crop Germplasm Resources and Utilization, Ministry of Agriculture, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Minghu Zhang
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193,, China
| | - Shuai Tian
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193,, China
| | - Wenjing Kang
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193,, China
| | - Wenxin Zhao
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193,, China
| | - Chan Bi
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193,, China
| | - Qiuyan Wang
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193,, China
| | - Shuang Lu
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193,, China
| | - Weilong Guo
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/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, Ministry of Education/Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193,, China
- National Plant Gene Research Centre, Beijing, 100193, China
| | - Chaojie Xie
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193,, China
| | - Qixin Sun
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193,, China
- National Plant Gene Research Centre, Beijing, 100193, China
| | - Mingshan You
- State Key Laboratory for Agrobiotechnology/Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193,, China.
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Li L, Shi F, Wang Y, Yu X, Zhi J, Guan Y, Zhao H, Chang J, Chen M, Yang G, Wang Y, He G. TaSPL13 regulates inflorescence architecture and development in transgenic wheat (Triticum aestivum L.). PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2020; 296:110516. [PMID: 32539997 DOI: 10.1016/j.plantsci.2020.110516] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2020] [Revised: 03/25/2020] [Accepted: 04/25/2020] [Indexed: 06/11/2023]
Abstract
The SQUAMOSA promoter-binding protein-like (SPL) proteins play vital roles in plant growth and development in rice (Oryza sative L.) and Arabidopsis thaliana (L.) Heynh. However, few studies regarding the SPL proteins have been reported in wheat. In this study, 56 TaSPLs were clustered into eight groups according to an OsSPL phylogenetic comparison analysis. The expression patterns of TaSPLs in different tissues were analysed by RNA-seq data, and partial results were confirmed by qRT-PCR. Based on the above results, genes such as TaSPL13 and TaSPL15 may be involved in spike or seed development in wheat. Multiple genes that regulate the inflorescence architecture of rice have been identified. Additionally, studies on the genes associated with spikelet development in wheat have been reported relatively rarely. Here, TaSPL13-2B was transferred into wheat cv. Bobwhite. Compared with the wild type, the transgenic lines showed significant increases in the number of florets and grains per spike, indicating that TaSPL13-2B could influence the floret development of wheat. TaSPL13-2B was transferred into rice cv. Nipponbare, which demonstrated that TaSPL13-2B can modify panicle architecture in transgenic rice, with significant increases in panicle length, the number and length of primary branches, and the number of secondary branches.
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Affiliation(s)
- Li Li
- The Genetic Engineering International Cooperation Base of Chinese Ministry of Science and Technology, the Key Laboratory of Molecular Biophysics of Chinese Ministry of Education, College of Life Science and Technology, Huazhong University of Science & Technology, Wuhan 430074, China.
| | - Fu Shi
- The Genetic Engineering International Cooperation Base of Chinese Ministry of Science and Technology, the Key Laboratory of Molecular Biophysics of Chinese Ministry of Education, College of Life Science and Technology, Huazhong University of Science & Technology, Wuhan 430074, China.
| | - Yaqiong Wang
- The Genetic Engineering International Cooperation Base of Chinese Ministry of Science and Technology, the Key Laboratory of Molecular Biophysics of Chinese Ministry of Education, College of Life Science and Technology, Huazhong University of Science & Technology, Wuhan 430074, China.
| | - Xiaofen Yu
- The Genetic Engineering International Cooperation Base of Chinese Ministry of Science and Technology, the Key Laboratory of Molecular Biophysics of Chinese Ministry of Education, College of Life Science and Technology, Huazhong University of Science & Technology, Wuhan 430074, China.
| | - Jingjing Zhi
- The Genetic Engineering International Cooperation Base of Chinese Ministry of Science and Technology, the Key Laboratory of Molecular Biophysics of Chinese Ministry of Education, College of Life Science and Technology, Huazhong University of Science & Technology, Wuhan 430074, China.
| | - Yanbin Guan
- The Genetic Engineering International Cooperation Base of Chinese Ministry of Science and Technology, the Key Laboratory of Molecular Biophysics of Chinese Ministry of Education, College of Life Science and Technology, Huazhong University of Science & Technology, Wuhan 430074, China.
| | - Hongyan Zhao
- The Genetic Engineering International Cooperation Base of Chinese Ministry of Science and Technology, the Key Laboratory of Molecular Biophysics of Chinese Ministry of Education, College of Life Science and Technology, Huazhong University of Science & Technology, Wuhan 430074, China.
| | - Junli Chang
- The Genetic Engineering International Cooperation Base of Chinese Ministry of Science and Technology, the Key Laboratory of Molecular Biophysics of Chinese Ministry of Education, College of Life Science and Technology, Huazhong University of Science & Technology, Wuhan 430074, China.
| | - Mingjie Chen
- The Genetic Engineering International Cooperation Base of Chinese Ministry of Science and Technology, the Key Laboratory of Molecular Biophysics of Chinese Ministry of Education, College of Life Science and Technology, Huazhong University of Science & Technology, Wuhan 430074, China.
| | - Guangxiao Yang
- The Genetic Engineering International Cooperation Base of Chinese Ministry of Science and Technology, the Key Laboratory of Molecular Biophysics of Chinese Ministry of Education, College of Life Science and Technology, Huazhong University of Science & Technology, Wuhan 430074, China.
| | - Yuesheng Wang
- The Genetic Engineering International Cooperation Base of Chinese Ministry of Science and Technology, the Key Laboratory of Molecular Biophysics of Chinese Ministry of Education, College of Life Science and Technology, Huazhong University of Science & Technology, Wuhan 430074, China.
| | - Guangyuan He
- The Genetic Engineering International Cooperation Base of Chinese Ministry of Science and Technology, the Key Laboratory of Molecular Biophysics of Chinese Ministry of Education, College of Life Science and Technology, Huazhong University of Science & Technology, Wuhan 430074, China.
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117
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Crop reproductive meristems in the genomic era: a brief overview. Biochem Soc Trans 2020; 48:853-865. [PMID: 32573650 DOI: 10.1042/bst20190441] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 05/15/2020] [Accepted: 05/27/2020] [Indexed: 11/17/2022]
Abstract
Modulation of traits beneficial for cultivation and yield is one of the main goals of crop improvement. One of the targets for enhancing productivity is changing the architecture of inflorescences since in many species it determines fruit and seed yield. Inflorescence shape and organization is genetically established during the early stages of reproductive development and depends on the number, arrangement, activities, and duration of meristems during the reproductive phase of the plant life cycle. Despite the variety of inflorescence architectures observable in nature, many key aspects of inflorescence development are conserved among different species. For instance, the genetic network in charge of specifying the identity of the different reproductive meristems, which can be indeterminate or determinate, seems to be similar among distantly related species. The availability of a large number of published transcriptomic datasets for plants with different inflorescence architectures, allowed us to identify transcription factor gene families that are differentially expressed in determinate and indeterminate reproductive meristems. The data that we review here for Arabidopsis, rice, barley, wheat, and maize, particularly deepens our knowledge of their involvement in meristem identity specification.
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118
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Cao S, Xu D, Hanif M, Xia X, He Z. Genetic architecture underpinning yield component traits in wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:1811-1823. [PMID: 32062676 DOI: 10.1007/s00122-020-03562-8] [Citation(s) in RCA: 78] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2019] [Accepted: 02/06/2020] [Indexed: 05/19/2023]
Abstract
Genetic atlas, reliable QTL and candidate genes of yield component traits in wheat were figured out, laying concrete foundations for map-based gene cloning and dissection of regulatory mechanisms underlying yield. Mining genetic loci for yield is challenging due to the polygenic nature, large influence of environment and complex relationship among yield component traits (YCT). Many genetic loci related to wheat yield have been identified, but its genetic architecture and key genetic loci for selection are largely unknown. Wheat yield potential can be determined by three YCT, thousand kernel weight, kernel number per spike and spike number. Here, we summarized the genetic loci underpinning YCT from QTL mapping, association analysis and homology-based gene cloning. The major loci determining yield-associated agronomic traits, such as flowering time and plant height, were also included in comparative analyses with those for YCT. We integrated yield-related genetic loci onto chromosomes based on their physical locations. To identify the major stable loci for YCT, 58 QTL-rich clusters (QRC) were defined based on their distribution on chromosomes. Candidate genes in each QRC were predicted according to gene annotation of the wheat reference genome and previous information on validation of those genes in other species. Finally, a technological route was proposed to take full advantage of the resultant resources for gene cloning, molecular marker-assisted breeding and dissection of molecular regulatory mechanisms underlying wheat yield.
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Affiliation(s)
- Shuanghe Cao
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China.
| | - Dengan Xu
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Mamoona Hanif
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Xianchun Xia
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Zhonghu He
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China.
- International Maize and Wheat Improvement Center (CIMMYT), c/o CAAS, 12 Zhongguancun South Street, Beijing, 100081, China.
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119
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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: 33] [Impact Index Per Article: 8.3] [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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He J, He X, Chang P, Jiang H, Gong D, Sun Q. Genome-wide identification and characterization of TCP family genes in Brassica juncea var. tumida. PeerJ 2020; 8:e9130. [PMID: 32461831 PMCID: PMC7231505 DOI: 10.7717/peerj.9130] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Accepted: 04/14/2020] [Indexed: 01/28/2023] Open
Abstract
Background Teosinte branched1/Cycloidea/proliferating cell factors (TCPs) are plant-specific transcription factors widely involved in leaf development, flowering, shoot branching, the circadian rhythm, hormone signaling, and stress responses. However, the TCP function in Brassica juncea var. tumida, the tumorous stem mustard, has not yet been reported. This study identified and characterized the entire TCP family members in B. juncea var. tumida. Methods We identified 62 BjTCP genes from the B. juncea var. tumida genome and analyzed their phylogenetic relationship, gene structure, protein motifs, chromosome location, and expression profile in different tissues. Results Of the 62 BjTCP genes we identified in B. juncea var. tumida, containing 34 class I and 28 class II subfamily members, 61 were distributed on 18 chromosomes. Gene structure and conserved motif analysis showed that the same clade genes displayed a similar exon/intron gene structure and conserved motifs. Cis-acting element results showed that the same clade genes also had a similar cis-acting element; however, subtle differences implied a different regulatory pathway. The BjTCP18s members were low-expressed in Dayejie strains and the unswelling stage of Yonganxiaoye strains. Treatment with gibberellin (GA) and salicylic acid (SA) showed that GA and SA affect the expression levels of multiple TCP genes. Conclusion We performed the first genome-wide analysis of the TCP gene family of B. juncea var. tumida. Our results have provided valuable information for understanding the classification and functions of TCP genes in B. juncea var. tumida.
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Affiliation(s)
- Jing He
- Chongqing University of Posts and Telecommunications, College of Bioinformation, Chongqing Key Laboratory of Big Data for Bio Intelligence, ChongQing, China
| | - Xiaohong He
- Chongqing University of Posts and Telecommunications, College of Bioinformation, Chongqing Key Laboratory of Big Data for Bio Intelligence, ChongQing, China
| | - Pingan Chang
- Chongqing University of Posts and Telecommunications, College of Bioinformation, Chongqing Key Laboratory of Big Data for Bio Intelligence, ChongQing, China
| | - Huaizhong Jiang
- Chongqing University of Posts and Telecommunications, College of Bioinformation, Chongqing Key Laboratory of Big Data for Bio Intelligence, ChongQing, China
| | - Daping Gong
- Tobacco Research Institute of Chinese Academy of Agricultural Sciences, Qingdao, China
| | - Quan Sun
- Chongqing University of Posts and Telecommunications, College of Bioinformation, Chongqing Key Laboratory of Big Data for Bio Intelligence, ChongQing, China
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Adamski NM, Borrill P, Brinton J, Harrington SA, Marchal C, Bentley AR, Bovill WD, Cattivelli L, Cockram J, Contreras-Moreira B, Ford B, Ghosh S, Harwood W, Hassani-Pak K, Hayta S, Hickey LT, Kanyuka K, King J, Maccaferrri M, Naamati G, Pozniak CJ, Ramirez-Gonzalez RH, Sansaloni C, Trevaskis B, Wingen LU, Wulff BBH, Uauy C. A roadmap for gene functional characterisation in crops with large genomes: Lessons from polyploid wheat. eLife 2020; 9:e55646. [PMID: 32208137 PMCID: PMC7093151 DOI: 10.7554/elife.55646] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Accepted: 03/12/2020] [Indexed: 02/04/2023] Open
Abstract
Understanding the function of genes within staple crops will accelerate crop improvement by allowing targeted breeding approaches. Despite their importance, a lack of genomic information and resources has hindered the functional characterisation of genes in major crops. The recent release of high-quality reference sequences for these crops underpins a suite of genetic and genomic resources that support basic research and breeding. For wheat, these include gene model annotations, expression atlases and gene networks that provide information about putative function. Sequenced mutant populations, improved transformation protocols and structured natural populations provide rapid methods to study gene function directly. We highlight a case study exemplifying how to integrate these resources. This review provides a helpful guide for plant scientists, especially those expanding into crop research, to capitalise on the discoveries made in Arabidopsis and other plants. This will accelerate the improvement of crops of vital importance for food and nutrition security.
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Affiliation(s)
| | - Philippa Borrill
- School of Biosciences, University of BirminghamBirminghamUnited Kingdom
| | - Jemima Brinton
- John Innes Centre, Norwich Research ParkNorwichUnited Kingdom
| | | | | | | | - William D Bovill
- Commonwealth Scientific and Industrial Research Organisation, Agriculture and Food (CSIRO)CanberraAustralia
| | - Luigi Cattivelli
- Council for Agricultural Research and Economics, Research Centre for Genomics and BioinformaticsFiorenzuola d'ArdaItaly
| | | | - Bruno Contreras-Moreira
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome CampusHinxtonUnited Kingdom
| | - Brett Ford
- Commonwealth Scientific and Industrial Research Organisation, Agriculture and Food (CSIRO)CanberraAustralia
| | - Sreya Ghosh
- John Innes Centre, Norwich Research ParkNorwichUnited Kingdom
| | - Wendy Harwood
- John Innes Centre, Norwich Research ParkNorwichUnited Kingdom
| | | | - Sadiye Hayta
- John Innes Centre, Norwich Research ParkNorwichUnited Kingdom
| | - Lee T Hickey
- Queensland Alliance for Agriculture and Food Innovation, The University of QueenslandSt LuciaAustralia
| | | | - Julie King
- Division of Plant and Crop Sciences, The University of Nottingham, Sutton Bonington CampusLoughboroughUnited Kingdom
| | - Marco Maccaferrri
- Department of Agricultural and Food Sciences (DISTAL), Alma Mater Studiorum - Università di Bologna (University of Bologna)BolognaItaly
| | - Guy Naamati
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome CampusHinxtonUnited Kingdom
| | - Curtis J Pozniak
- Crop Development Centre, University of SaskatchewanSaskatoonCanada
| | | | | | - Ben Trevaskis
- Commonwealth Scientific and Industrial Research Organisation, Agriculture and Food (CSIRO)CanberraAustralia
| | - Luzie U Wingen
- John Innes Centre, Norwich Research ParkNorwichUnited Kingdom
| | - Brande BH Wulff
- John Innes Centre, Norwich Research ParkNorwichUnited Kingdom
| | - Cristobal Uauy
- John Innes Centre, Norwich Research ParkNorwichUnited Kingdom
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Sakuma S, Schnurbusch T. Of floral fortune: tinkering with the grain yield potential of cereal crops. THE NEW PHYTOLOGIST 2020; 225:1873-1882. [PMID: 31509613 DOI: 10.1111/nph.16189] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Accepted: 08/28/2019] [Indexed: 05/19/2023]
Abstract
Enhancing the yield potential and stability of small-grain cereals, such as wheat (Triticum sp.), rice (Oryza sativa), and barley (Hordeum vulgare), is a priority for global food security. Over the last several decades, plant breeders have increased grain yield mainly by increasing the number of grains produced in each inflorescence. This trait is determined by the number of spikelets per spike and the number of fertile florets per spikelet. Recent genetic and genomic advances in cereal grass species have identified the molecular determinants of grain number and facilitated the exchange of information across genera. In this review, we focus on the genetic basis of inflorescence architecture in Triticeae crops, highlighting recent insights that have helped to improve grain yield by, for example, reducing the preprogrammed abortion of floral organs. The accumulating information on inflorescence development can be harnessed to enhance grain yield by comparative trait reconstruction and rational design to boost the yield potential of grain crops.
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Affiliation(s)
- Shun Sakuma
- Faculty of Agriculture, Tottori University, Tottori, 680-8553, Japan
| | - Thorsten Schnurbusch
- Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben, 06466, Germany
- Faculty of Natural Sciences III, Institute of Agricultural and Nutritional Sciences, Martin Luther University Halle-Wittenberg, Halle, Germany
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123
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Lyu J, Huang L, Zhang S, Zhang Y, He W, Zeng P, Zeng Y, Huang G, Zhang J, Ning M, Bao Y, Zhao S, Fu Q, Wade LJ, Chen H, Wang W, Hu F. Neo-functionalization of a Teosinte branched 1 homologue mediates adaptations of upland rice. Nat Commun 2020; 11:725. [PMID: 32024833 PMCID: PMC7002408 DOI: 10.1038/s41467-019-14264-1] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2018] [Accepted: 12/19/2019] [Indexed: 12/02/2022] Open
Abstract
The rice orthologue of maize domestication gene Teosinte branched 1 (Tb1) affects tillering. But, unlike maize Tb1 gene, it was not selected during domestication. Here, we report that an OsTb1 duplicate gene (OsTb2) has been artificially selected during upland rice adaptation and that natural variation in OsTb2 is associated with tiller number. Interestingly, transgenic rice overexpressing this gene shows increased rather than decreased tillering, suggesting that OsTb2 gains a regulatory effect opposite to that of OsTb1 following duplication. Functional analyses suggest that the OsTb2 protein positively regulates tillering by interacting with the homologous OsTb1 protein and counteracts the inhibitory effect of OsTb1 on tillering. We further characterize two functional variations within OsTb2 that regulate protein function and gene expression, respectively. These results not only present an example of neo-functionalization that generates an opposite function following duplication but also suggest that the Tb1 homologue has been selected in upland rice.
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Affiliation(s)
- Jun Lyu
- State Key laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Research Center for Perennial Rice Engineering and Technology of Yunnan, School of Agriculture, Yunnan University, 650091, Kunming, Yunnan, China
| | - Liyu Huang
- State Key laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Research Center for Perennial Rice Engineering and Technology of Yunnan, School of Agriculture, Yunnan University, 650091, Kunming, Yunnan, China
| | - Shilai Zhang
- State Key laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Research Center for Perennial Rice Engineering and Technology of Yunnan, School of Agriculture, Yunnan University, 650091, Kunming, Yunnan, China
| | - Yesheng Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, 650223, Kunming, Yunnan, China
| | - Weiming He
- State Key laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Research Center for Perennial Rice Engineering and Technology of Yunnan, School of Agriculture, Yunnan University, 650091, Kunming, Yunnan, China
| | - Peng Zeng
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau, China
| | - Yan Zeng
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, 650223, Kunming, Yunnan, China
| | - Guangfu Huang
- State Key laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Research Center for Perennial Rice Engineering and Technology of Yunnan, School of Agriculture, Yunnan University, 650091, Kunming, Yunnan, China
| | - Jing Zhang
- State Key laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Research Center for Perennial Rice Engineering and Technology of Yunnan, School of Agriculture, Yunnan University, 650091, Kunming, Yunnan, China
| | - Min Ning
- State Key laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Research Center for Perennial Rice Engineering and Technology of Yunnan, School of Agriculture, Yunnan University, 650091, Kunming, Yunnan, China
| | - Yachong Bao
- State Key laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Research Center for Perennial Rice Engineering and Technology of Yunnan, School of Agriculture, Yunnan University, 650091, Kunming, Yunnan, China
| | - Shilei Zhao
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Qi Fu
- State Key laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Research Center for Perennial Rice Engineering and Technology of Yunnan, School of Agriculture, Yunnan University, 650091, Kunming, Yunnan, China
| | - Len J Wade
- The University of Queensland, School of Agriculture and Food Sciences, Brisbane, QLD, 4072, Australia.
| | - Hua Chen
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, 650223, Kunming, Yunnan, China.
| | - Wen Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, 650223, Kunming, Yunnan, China.
- Center for Ecological and Environmental Sciences, Key Laboratory for Space Bioscience & Biotechnology, Northwestern Polytechnical University, 710072, Xi'an, China.
| | - Fengyi Hu
- State Key laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Research Center for Perennial Rice Engineering and Technology of Yunnan, School of Agriculture, Yunnan University, 650091, Kunming, Yunnan, China.
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124
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Molecular characterization of teosinte branched1 gene governing branching architecture in cultivated maize and wild relatives. 3 Biotech 2020; 10:77. [PMID: 32058540 DOI: 10.1007/s13205-020-2052-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Accepted: 01/03/2020] [Indexed: 10/25/2022] Open
Abstract
We sequenced the entire tb1 gene in six maize inbreds and its wild relatives (parviglumis, mexicana, perennis and luxurians) to characterize it at molecular level. Hopscotch and Tourist transposable elements were observed in the upstream of tb1 in all maize inbreds, while they were absent in wild relatives. In maize, tb1 consisted of 431-443 bp 5'UTR, 1101 bp coding sequence and 211-219 bp 3'UTR. In promoter region, mutations in the light response element in mexicana (~ 35 bp and ~ 55 bp upstream of TSS) and perennis (at ~ 35 bp upstream of TSS) were found. A 6 bp insertion at 420 bp downstream of the polyA signal site was present among teosinte accessions, while it was not observed in maize. A codominant marker flanking the 6 bp InDel was developed, and it differentiated the teosintes from maize. In Tb1 protein, alanine (12.7-14.6%) was the most abundant amino acid with tryptophan as the rarest (0.5-0.9%). The molecular weight of Tb1 protein was 38757.15 g/mol except 'Palomero Toluqueno' and HKI1128. R and TCP motifs in Tb1 protein were highly conserved across maize, teosinte and orthologues, while TCP domain differed for tb1 paralogue. Tb1 possessed important role in light-, auxin-, stress-response and meristem identity maintenance. Presence of molecular signal suggested its localization in mitochondria, nucleus and nucleolus. Parviglumis and mexicana shared closer relationship with maize than perennis and luxurians. A highly conserved 59-60 amino acids long bHLH region was observed across genotypes. Information generated here assumes significance in evolution of tb1 gene and breeding for enhancement of prolificacy in maize.
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125
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Liu J, Fernie AR, Yan J. The Past, Present, and Future of Maize Improvement: Domestication, Genomics, and Functional Genomic Routes toward Crop Enhancement. PLANT COMMUNICATIONS 2020; 1:100010. [PMID: 33404535 PMCID: PMC7747985 DOI: 10.1016/j.xplc.2019.100010] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Revised: 11/07/2019] [Accepted: 11/22/2019] [Indexed: 05/14/2023]
Abstract
After being domesticated from teosinte, cultivated maize (Zea mays ssp. mays) spread worldwide and now is one of the most important staple crops. Due to its tremendous phenotypic and genotypic diversity, maize also becomes to be one of the most widely used model plant species for fundamental research, with many important discoveries reported by maize researchers. Here, we provide an overview of the history of maize domestication and key genes controlling major domestication-related traits, review the currently available resources for functional genomics studies in maize, and discuss the functions of most of the maize genes that have been positionally cloned and can be used for crop improvement. Finally, we provide some perspectives on future directions regarding functional genomics research and the breeding of maize and other crops.
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Affiliation(s)
- Jie Liu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
- Corresponding author
| | - Alisdair R. Fernie
- Department of Molecular Physiology, Max-Planck-Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476 Potsdam-Golm, Germany
| | - Jianbing Yan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
- Corresponding author
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126
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Abstract
How do perennial plants adapt their growth to seasonal changes? A new study in the hybrid aspen reveals that, in short days, repression of a growth-promoting genetic pathway leads to upregulation of the BRANCHED1 genes, which in turn induce growth cessation.
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Affiliation(s)
- Pilar Cubas
- Plant Molecular Genetics Department, Centro Nacional de Biotecnología-CSIC, Campus Universidad Autónoma de Madrid, Madrid, Spain.
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127
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Huang D, Zheng Q, Melchkart T, Bekkaoui Y, Konkin DJF, Kagale S, Martucci M, You FM, Clarke M, Adamski NM, Chinoy C, Steed A, McCartney CA, Cutler AJ, Nicholson P, Feurtado JA. Dominant inhibition of awn development by a putative zinc-finger transcriptional repressor expressed at the B1 locus in wheat. THE NEW PHYTOLOGIST 2020; 225:340-355. [PMID: 31469444 PMCID: PMC6916588 DOI: 10.1111/nph.16154] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Accepted: 08/16/2019] [Indexed: 05/22/2023]
Abstract
Awns, bristle-like structures extending from grass lemmas, provide protection against predators, contribute to photosynthesis and aid in grain dispersal. In wheat, selection of awns with minimal extension, termed awnletted, has occurred during domestication by way of loci that dominantly inhibit awn development, such as Tipped1 (B1), Tipped2 (B2), and Hooded (Hd). Here we identify and characterize the B1 gene. B1 was identified using bulked segregant RNA-sequencing of an F2 durum wheat population and through deletion mapping of awned bread wheat mutants. Functional characterization was accomplished by gene overexpression while haplotype analyses assessed B1 polymorphisms and genetic variation. Located on chromosome 5A, B1 is a C2H2 zinc finger encoding gene with ethylene-responsive element binding factor-associated amphiphilic repression (EAR) motifs. Constitutive overexpression of B1 in awned wheat produced an awnletted phenotype with pleiotropic effects on plant height and fertility. Transcriptome analysis of B1 overexpression plants suggests a role as transcriptional repressor, putatively targeting pathways involved in cell proliferation. Haplotype analysis revealed a conserved B1 coding region with proximal polymorphisms and supported the contention that B1 is mainly responsible for awnletted wheats globally. B1, predominantly responsible for awn inhibition in wheat, encodes a C2H2 zinc finger protein with EAR motifs which putatively functions as a transcriptional repressor.
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Affiliation(s)
- Daiqing Huang
- Aquatic and Crop Resource DevelopmentNational Research Council of CanadaSaskatoonSKS7N 0W9Canada
| | - Qian Zheng
- Aquatic and Crop Resource DevelopmentNational Research Council of CanadaSaskatoonSKS7N 0W9Canada
| | - Tancey Melchkart
- Aquatic and Crop Resource DevelopmentNational Research Council of CanadaSaskatoonSKS7N 0W9Canada
| | - Yasmina Bekkaoui
- Aquatic and Crop Resource DevelopmentNational Research Council of CanadaSaskatoonSKS7N 0W9Canada
| | - David J. F. Konkin
- Aquatic and Crop Resource DevelopmentNational Research Council of CanadaSaskatoonSKS7N 0W9Canada
| | - Sateesh Kagale
- Aquatic and Crop Resource DevelopmentNational Research Council of CanadaSaskatoonSKS7N 0W9Canada
| | - Martial Martucci
- Morden Research and Development CentreAgriculture and Agri‐Food Canada101 Route 100MordenMBR6M 1Y5Canada
| | - Frank M. You
- Ottawa Research and Development CentreAgriculture and Agri‐Food Canada960 Carling AvenueOttawaONK1A 0C6Canada
| | - Martha Clarke
- Department of Crop GeneticsJohn Innes CentreNorwich Research Park, Colney LaneNorwichNR4 7UHUK
| | - Nikolai M. Adamski
- Department of Crop GeneticsJohn Innes CentreNorwich Research Park, Colney LaneNorwichNR4 7UHUK
| | - Catherine Chinoy
- Department of Crop GeneticsJohn Innes CentreNorwich Research Park, Colney LaneNorwichNR4 7UHUK
| | - Andrew Steed
- Department of Crop GeneticsJohn Innes CentreNorwich Research Park, Colney LaneNorwichNR4 7UHUK
| | - Curt A. McCartney
- Morden Research and Development CentreAgriculture and Agri‐Food Canada101 Route 100MordenMBR6M 1Y5Canada
| | - Adrian J. Cutler
- Aquatic and Crop Resource DevelopmentNational Research Council of CanadaSaskatoonSKS7N 0W9Canada
| | - Paul Nicholson
- Department of Crop GeneticsJohn Innes CentreNorwich Research Park, Colney LaneNorwichNR4 7UHUK
| | - J. Allan Feurtado
- Aquatic and Crop Resource DevelopmentNational Research Council of CanadaSaskatoonSKS7N 0W9Canada
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128
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Applications and Trends of Machine Learning in Genomics and Phenomics for Next-Generation Breeding. PLANTS 2019; 9:plants9010034. [PMID: 31881663 PMCID: PMC7020215 DOI: 10.3390/plants9010034] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 12/17/2019] [Accepted: 12/23/2019] [Indexed: 12/27/2022]
Abstract
Crops are the major source of food supply and raw materials for the processing industry. A balance between crop production and food consumption is continually threatened by plant diseases and adverse environmental conditions. This leads to serious losses every year and results in food shortages, particularly in developing countries. Presently, cutting-edge technologies for genome sequencing and phenotyping of crops combined with progress in computational sciences are leading a revolution in plant breeding, boosting the identification of the genetic basis of traits at a precision never reached before. In this frame, machine learning (ML) plays a pivotal role in data-mining and analysis, providing relevant information for decision-making towards achieving breeding targets. To this end, we summarize the recent progress in next-generation sequencing and the role of phenotyping technologies in genomics-assisted breeding toward the exploitation of the natural variation and the identification of target genes. We also explore the application of ML in managing big data and predictive models, reporting a case study using microRNAs (miRNAs) to identify genes related to stress conditions.
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129
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Nyine M, Uwimana B, Akech V, Brown A, Ortiz R, Doležel J, Lorenzen J, Swennen R. Association genetics of bunch weight and its component traits in East African highland banana (Musa spp. AAA group). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2019; 132:3295-3308. [PMID: 31529270 PMCID: PMC6820618 DOI: 10.1007/s00122-019-03425-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Accepted: 09/06/2019] [Indexed: 05/06/2023]
Abstract
The major quantitative trait loci associated with bunch weight and its component traits in the East African highland banana-breeding population are located on chromosome 3. Bunch weight increase is one of the major objectives of banana improvement programs, but little is known about the loci controlling bunch weight and its component traits. Here we report for the first time some genomic loci associated with bunch weight and its component traits in banana as revealed through a genome-wide association study. A banana-breeding population of 307 genotypes varying in ploidy was phenotyped in three locations under different environmental conditions, and data were collected on bunch weight, number of hands and fruits; fruit length and circumference; and diameter of both fruit and pulp for three crop cycles. The population was genotyped with genotyping by sequencing and 27,178 single nucleotide polymorphisms (SNPs) were generated. The association between SNPs and the best linear unbiased predictors of traits was performed with TASSEL v5 using a mixed linear model accounting for population structure and kinship. Using Bonferroni correction, false discovery rate, and long-range linkage disequilibrium (LD), 25 genomic loci were identified with significant SNPs and most were localized on chromosome 3. Most SNPs were located in genes encoding uncharacterized and hypothetical proteins, but some mapped to transcription factors and genes involved in cell cycle regulation. Inter-chromosomal LD of SNPs was present in the population, but none of the SNPs were significantly associated with the traits. The clustering of significant SNPs on chromosome 3 supported our hypothesis that fruit filling in this population was under control of a few quantitative trait loci with major effects.
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Affiliation(s)
- Moses Nyine
- International Institute of Tropical Agriculture, P.O. Box 7878, Kampala, Uganda
- Department of Plant Pathology, Kansas State University, Manhattan, KS, 66506, USA
| | - Brigitte Uwimana
- International Institute of Tropical Agriculture, P.O. Box 7878, Kampala, Uganda
| | - Violet Akech
- International Institute of Tropical Agriculture, P.O. Box 7878, Kampala, Uganda
| | - Allan Brown
- International Institute of Tropical Agriculture c/o Nelson Mandela African Institution of Science and Technology, P.O. Box 447, Arusha, Tanzania
| | - Rodomiro Ortiz
- Department of Plant Breeding, Swedish University of Agricultural Sciences, P.O. Box 101, 23053, Alnarp, Sweden
| | - Jaroslav Doležel
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, 78371, Olomouc, Czech Republic
| | - Jim Lorenzen
- International Institute of Tropical Agriculture, P.O. Box 7878, Kampala, Uganda
- Bill and Melinda Gates Foundation, Seattle, 23350, USA
| | - Rony Swennen
- International Institute of Tropical Agriculture c/o Nelson Mandela African Institution of Science and Technology, P.O. Box 447, Arusha, Tanzania.
- Laboratory of Tropical Crop Improvement, Division of Crop Biotechnics, Katholieke Universiteit, 3001, Leuven, Belgium.
- Bioversity International, 3001, Leuven, Belgium.
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130
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Xu D, Wen W, Fu L, Li F, Li J, Xie L, Xia X, Ni Z, He Z, Cao S. Genetic dissection of a major QTL for kernel weight spanning the Rht-B1 locus in bread wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2019; 132:3191-3200. [PMID: 31515582 DOI: 10.1007/s00122-019-03418-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2019] [Revised: 07/28/2019] [Accepted: 08/27/2019] [Indexed: 05/18/2023]
Abstract
Genetic dissection uncovered a major QTL QTKW.caas-4BS corresponding with a 483 kb deletion that included genes ZnF, EamA and Rht-B1. This deletion was associated with increased grain weight and semi-dwarf phenotype. Previous studies identified quantitative trait loci (QTL) for thousand kernel weight (TKW) in the region spanning the Rht-B1 locus in wheat (Triticum aestivum L.). We recently mapped a major QTL QTKW.caas-4BS for TKW spanning the Rht-B1 locus in a recombinant inbred line (RIL) population derived from Doumai/Shi 4185 using the wheat 90K array. The allele from Doumai at QTKW.caas-4BS significantly increased TKW and kernel number per spike, and conferred semi-dwarf trait, which was beneficial to improve grain yield without a penalty to lodging. To further dissect QTKW.caas-4BS, we firstly re-investigated the genotypes and phenotypes of the RILs and confirmed the QTL using cleaved amplified polymorphic sequence (CAPS) markers developed from flanking SNP markers IWA102 and IWB54814. The target sequences of the CAPS markers were used as queries to BLAST the wheat reference genome RefSeq v1.0 and hit an approximate 10.4 Mb genomic region. Based on genomic mining and SNP loci from the wheat 660K SNP array in the above genomic region, we developed eight new markers and narrowed QTKW.caas-4BS to a genetic interval of 1.5 cM. A 483 kb deletion in Doumai corresponded with QTKW.caas-4BS genetically, including three genes ZnF, EamA and Rht-B1. The other 15 genes with either differential expressions and/or sequence variations between parents were also potential candidate genes for QTKW.caas-4BS. The findings not only provide a toolkit for marker-assisted selection of QTKW.caas-4BS but also defined candidate genes for further functional analysis.
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Affiliation(s)
- Dengan Xu
- Institute of Crop Science, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
- Department of Plant Genetics & Breeding/State Key Laboratory for Agrobiotechnology, China Agricultural University, 2 Yuanmingyuan West Road, Beijing, 100094, China
| | - Weie Wen
- Institute of Crop Science, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Luping Fu
- Institute of Crop Science, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Faji Li
- Institute of Crop Science, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Jihu Li
- Institute of Crop Science, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Li Xie
- Institute of Crop Science, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Xianchun Xia
- Institute of Crop Science, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Zhongfu Ni
- Department of Plant Genetics & Breeding/State Key Laboratory for Agrobiotechnology, China Agricultural University, 2 Yuanmingyuan West Road, Beijing, 100094, China
| | - Zhonghu He
- Institute of Crop Science, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China.
| | - Shuanghe Cao
- Institute of Crop Science, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China.
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131
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Ma J, Ding P, Liu J, Li T, Zou Y, Habib A, Mu Y, Tang H, Jiang Q, Liu Y, Chen G, Wang J, Deng M, Qi P, Li W, Pu Z, Zheng Y, Wei Y, Lan X. Identification and validation of a major and stably expressed QTL for spikelet number per spike in bread wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2019; 132:3155-3167. [PMID: 31435704 DOI: 10.1007/s00122-019-03415-z] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Accepted: 08/14/2019] [Indexed: 05/19/2023]
Abstract
A major and stably expressed QTL for spikelet number per spike identified in a 2-cM interval on chromosome arm 2DS was validated using two populations with different genetic backgrounds. Spikelet number per spike (SNS) plays a key role in wheat yield improvement. Numerous genetic and environmental factors influencing SNS have been documented, but the number of major, stably expressed and validated loci underlying SNS is still limited. In this study, a recombinant inbred line (RIL) population derived from a normal spikelet cultivar and a multiple-spikelet wheat line (with a longer spike with more canonically oriented apical spikelets) was genotyped using a Wheat55K single-nucleotide polymorphism (SNP) array and simple sequence repeat (SSR) markers. SNS was measured for this RIL population in eight environments. Five QTL were each identified in two or more environments. One of them, QSns.sau-2D (LOD = 3.47-38.24, PVE = 10.16-45.68%), was detected in all the eight environments. The QTL was located in a 2-cM interval on chromosome arm 2DS flanked by the markers AX-109836946 and AX-111956072. This QTL, QSns.sau-2D, significantly increased SNS by up to 14.72%. Several genes associated with plant growth and development were identified in the physical interval of QSns.sau-2D. This QTL was further validated by the tightly linked Kompetitive Allele Specific PCR (KASP) marker, KASP-AX-94721936, in two other populations with different genetic backgrounds. The significant correlation between SNS and anthesis date, plant height, spike length, grain number per spike and thousand-grain weight were detected and discussed. These results lay the foundation for fine mapping and cloning gene(s) underlying QSns.sau-2D.
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Affiliation(s)
- Jian Ma
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, 611130, China.
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China.
| | - Puyang Ding
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, 611130, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Jiajun Liu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, 611130, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Ting Li
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, 611130, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Yaya Zou
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, 611130, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Ahsan Habib
- Biotechnology and Genetic Engineering Discipline, Khulna University, Khulna, 9208, Bangladesh
| | - Yang Mu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, 611130, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Huaping Tang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, 611130, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Qiantao Jiang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, 611130, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Yaxi Liu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, 611130, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Guoyue Chen
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, 611130, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Jirui Wang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, 611130, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Mei Deng
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, 611130, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Pengfei Qi
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, 611130, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Wei Li
- College of Agronomy, Sichuan Agricultural University, Chengdu, 611130, China
| | - Zhien Pu
- College of Agronomy, Sichuan Agricultural University, Chengdu, 611130, China
| | - Youliang Zheng
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, 611130, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Yuming Wei
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, 611130, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Xiujin Lan
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, 611130, China.
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China.
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132
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Wolde GM, Schnurbusch T. Inferring vascular architecture of the wheat spikelet based on resource allocation in the branched head t (bh t-A1) near isogenic lines. FUNCTIONAL PLANT BIOLOGY : FPB 2019; 46:1023-1035. [PMID: 32172750 DOI: 10.1071/fp19041] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Accepted: 06/21/2019] [Indexed: 06/10/2023]
Abstract
Substantial genetic and physiological efforts were made to understand the causal factors of floral abortion and grain filling problem in wheat. However, the vascular architecture during wheat spikelet development is surprisingly under-researched. We used the branched headt near-isogenic lines, FL-bht-A1-NILs, to visualise the dynamics of spikelet fertility and dry matter accumulation in spikelets sharing the same rachis node (henceforth Primary Spikelet, PSt, and Secondary Spikelet, SSt). The experiment was conducted after grouping FL-bht-A1-NILs into two groups, where tillers were consistently removed from one group. Our results show differential spikelet fertility and dry matter accumulation between the PSt and SSt, but also showed a concomitant improvement after de-tillering. This suggests a tight regulation of assimilate supply and dry matter accumulation in wheat spikelets. Since PSt and SSt share the same rachis node, the main vascular bundle in the rachis/rachilla is expected to bifurcate to connect each spikelet/floret to the vascular system. We postulate that the vascular structure in the wheat spikelet might even follow Murray's law, where the wide conduits assigned at the base of the spikelet feed the narrower conduits of the distal florets. We discuss our results based on the two modalities of the vascular network systems in plants.
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Affiliation(s)
- Gizaw M Wolde
- Independent HEISENBERG-Research Group Plant Architecture, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3, OT Gatersleben, D-06466 Seeland, Germany; and Present address: Department of Plant Sciences, University of California, Davis, CA 95616, USA; and Corresponding authors. Emails: ;
| | - Thorsten Schnurbusch
- Independent HEISENBERG-Research Group Plant Architecture, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3, OT Gatersleben, D-06466 Seeland, Germany; and Faculty of Natural Sciences III, Institute of Agricultural and Nutritional Sciences, Martin Luther University Halle-Wittenberg, 06120 Halle, Germany; and Corresponding authors. Emails: ;
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133
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Kuzay S, Xu Y, Zhang J, Katz A, Pearce S, Su Z, Fraser M, Anderson JA, Brown-Guedira G, DeWitt N, Peters Haugrud A, Faris JD, Akhunov E, Bai G, Dubcovsky J. Identification of a candidate gene for a QTL for spikelet number per spike on wheat chromosome arm 7AL by high-resolution genetic mapping. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2019; 132:2689-2705. [PMID: 31254024 PMCID: PMC6708044 DOI: 10.1007/s00122-019-03382-5] [Citation(s) in RCA: 79] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 06/12/2019] [Accepted: 06/16/2019] [Indexed: 05/21/2023]
Abstract
A high-resolution genetic map combined with haplotype analyses identified a wheat ortholog of rice gene APO1 as the best candidate gene for a 7AL locus affecting spikelet number per spike. A better understanding of the genes controlling differences in wheat grain yield components can accelerate the improvements required to satisfy future food demands. In this study, we identified a promising candidate gene underlying a quantitative trait locus (QTL) on wheat chromosome arm 7AL regulating spikelet number per spike (SNS). We used large heterogeneous inbred families ( > 10,000 plants) from two crosses to map the 7AL QTL to an 87-kb region (674,019,191-674,106,327 bp, RefSeq v1.0) containing two complete and two partial genes. In this region, we found three major haplotypes that were designated as H1, H2 and H3. The H2 haplotype contributed the high-SNS allele in both H1 × H2 and H2 × H3 segregating populations. The ancestral H3 haplotype is frequent in wild emmer (48%) but rare (~ 1%) in cultivated wheats. By contrast, the H1 and H2 haplotypes became predominant in modern cultivated durum and common wheat, respectively. Among the four candidate genes, only TraesCS7A02G481600 showed a non-synonymous polymorphism that differentiated H2 from the other two haplotypes. This gene, designated here as WHEAT ORTHOLOG OF APO1 (WAPO1), is an ortholog of the rice gene ABERRANT PANICLE ORGANIZATION 1 (APO1), which affects spikelet number. Taken together, the high-resolution genetic map, the association between polymorphisms in the different mapping populations with differences in SNS, and the known role of orthologous genes in other grass species suggest that WAPO-A1 is the most likely candidate gene for the 7AL SNS QTL among the four genes identified in the candidate gene region.
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Affiliation(s)
- Saarah Kuzay
- Department of Plant Sciences, University of California, Davis, CA, 95616, USA
| | - Yunfeng Xu
- Department of Agronomy, Kansas State University, Manhattan, KS, 66506, USA
| | - Junli Zhang
- Department of Plant Sciences, University of California, Davis, CA, 95616, USA
| | - Andrew Katz
- Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO, 80523, USA
| | - Stephen Pearce
- Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO, 80523, USA
| | - Zhenqi Su
- Department of Agronomy, Kansas State University, Manhattan, KS, 66506, USA
| | - Max Fraser
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN, 55108, USA
| | - James A Anderson
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN, 55108, USA
| | | | - Noah DeWitt
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, 27695, USA
| | | | - Justin D Faris
- USDA-Agricultural Research Service, Cereal Crops Research Unit, Edward T. Schafer Agricultural Research Center, Fargo, ND, 58102, USA
| | - Eduard Akhunov
- Department of Plant Pathology, Kansas State University, Manhattan, KS, 66506, USA
| | - Guihua Bai
- Department of Agronomy, Kansas State University, Manhattan, KS, 66506, USA.
- USDA-ARS, Hard Winter Wheat Genetics Research Unit, Manhattan, KS, 66506, 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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134
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Gao XQ, Wang N, Wang XL, Zhang XS. Architecture of Wheat Inflorescence: Insights from Rice. TRENDS IN PLANT SCIENCE 2019; 24:802-809. [PMID: 31257155 DOI: 10.1016/j.tplants.2019.06.002] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Revised: 05/21/2019] [Accepted: 06/03/2019] [Indexed: 05/24/2023]
Abstract
The inflorescence architecture of grass crops affects the number of kernels and final grain yield. Great progress has been made in genetic analysis of rice inflorescence development in the past decades. However, the advances in wheat largely lag behind those in rice due to the repetitive and polyploid genomes of wheat. In view of the similar branching patterns and developmental characteristics between rice and wheat, the studies on inflorescence architecture in rice will facilitate related studies in wheat in the future. Here, we review the developmental regulation of inflorescences in rice and wheat and highlight several pathways that potentially regulate the inflorescence architecture of wheat.
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Affiliation(s)
- Xin-Qi Gao
- National Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Taian, 271018, China
| | - Ning Wang
- National Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Taian, 271018, China
| | - Xiu-Ling Wang
- National Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Taian, 271018, China
| | - Xian Sheng Zhang
- National Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Taian, 271018, China.
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135
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Dong Z, Xiao Y, Govindarajulu R, Feil R, Siddoway ML, Nielsen T, Lunn JE, Hawkins J, Whipple C, Chuck G. The regulatory landscape of a core maize domestication module controlling bud dormancy and growth repression. Nat Commun 2019; 10:3810. [PMID: 31444327 PMCID: PMC6707278 DOI: 10.1038/s41467-019-11774-w] [Citation(s) in RCA: 78] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Accepted: 08/05/2019] [Indexed: 01/08/2023] Open
Abstract
Many domesticated crop plants have been bred for increased apical dominance, displaying greatly reduced axillary branching compared to their wild ancestors. In maize, this was achieved through selection for a gain-of-function allele of the TCP transcription factor teosinte branched1 (tb1). The mechanism for how a dominant Tb1 allele increased apical dominance, is unknown. Through ChIP seq, RNA seq, hormone and sugar measurements on 1 mm axillary bud tissue, we identify the genetic pathways putatively regulated by TB1. These include pathways regulating phytohormones such as gibberellins, abscisic acid and jasmonic acid, but surprisingly, not auxin. In addition, metabolites involved in sugar sensing such as trehalose 6-phosphate were increased. This suggests that TB1 induces bud suppression through the production of inhibitory phytohormones and by reducing sugar levels and energy balance. Interestingly, TB1 also putatively targets several other domestication loci, including teosinte glume architecture1, prol1.1/grassy tillers1, as well as itself. This places tb1 on top of the domestication hierarchy, demonstrating its critical importance during the domestication of maize from teosinte. The TB1 transcription factor was selected for the increased apical dominance of maize compared to its ancestor teosinte. A metabolic and genomic analysis of domesticated axillary buds suggest that TB1 achieved this by regulating phytohormone signaling, sugar metabolism and other domestication genes.
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Affiliation(s)
- Zhaobin Dong
- Plant Gene Expression Center/USDA, University of California, Berkeley, Albany, CA, 94710, USA
| | - Yuguo Xiao
- Brigham Young University, Provo, UT, 84602, USA
| | | | - Regina Feil
- Max Planck Institute of Molecular Plant Physiology, Muehlenberg, 14476, Potsdam-Golm, Germany
| | | | | | - John E Lunn
- Max Planck Institute of Molecular Plant Physiology, Muehlenberg, 14476, Potsdam-Golm, Germany
| | | | | | - George Chuck
- Plant Gene Expression Center/USDA, University of California, Berkeley, Albany, CA, 94710, USA.
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136
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Yao H, Xie Q, Xue S, Luo J, Lu J, Kong Z, Wang Y, Zhai W, Lu N, Wei R, Yang Y, Han Y, Zhang Y, Jia H, Ma Z. HL2 on chromosome 7D of wheat (Triticum aestivum L.) regulates both head length and spikelet number. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2019; 132:1789-1797. [PMID: 30810762 DOI: 10.1007/s00122-019-03315-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Accepted: 02/15/2019] [Indexed: 05/24/2023]
Abstract
A major QTL QSpl.nau-7D, named HL2, was validated for its effects on head length and kernel number per spike using NIL, and mapped to a 0.2 cM interval using recombinants. Improvement in wheat inflorescence traits such as spike or head length and spikelet number provides an important avenue to increase grain yield potential. In a previous study, QSpl.nau-7D, the major QTL for head length on chromosome 7D, was identified in the recombinant inbred lines derived from Nanda2419 and Wangshuibai. To validate and precisely map this QTL, the Wangshuibai allele was transferred to elite cultivar Yangmai15 through marker-assisted selection. Compared with the recurrent parent, the resultant near-isogenic line (NIL) yielded not only 28% longer spikes on the average but also more spikelets and kernels per spike. Moreover, the NIL had a lower spikelet density and did not show significant kernel weight change. In the F2 population derived from the NIL, QSpl.nau-7D acted like a single semi-dominant gene controlling head length and was therefore designated as Head Length 2 (HL2). With this population, a high-density genetic map was constructed mainly using newly developed markers, and 100 homozygous recombinants including 17 genotypes were obtained. Field experiments showed that the recombinants carrying the 0.2-cM interval flanked by Xwgrb1588 and Xwgrb1902 from Wangshuibai produced longer spikes than those without this Wangshuibai allele. Comparative mapping of this interval revealed a conserved synteny among cereal grasses. HL2 is beneficial to wheat breeding for more kernels per spike at a lower spikelet density, which is a favored morphological trait for Fusarium head blight resistance.
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Affiliation(s)
- Hongni Yao
- The Applied Plant Genomics Laboratory, Crop Genomics and Bioinformatics Center, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Quan Xie
- The Applied Plant Genomics Laboratory, Crop Genomics and Bioinformatics Center, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
| | - Shulin Xue
- The Applied Plant Genomics Laboratory, Crop Genomics and Bioinformatics Center, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
- School of Life Sciences, Henan University, Kaifeng, 475004, Henan, China
| | - Jing Luo
- The Applied Plant Genomics Laboratory, Crop Genomics and Bioinformatics Center, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Jikang Lu
- The Applied Plant Genomics Laboratory, Crop Genomics and Bioinformatics Center, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Zhongxin Kong
- The Applied Plant Genomics Laboratory, Crop Genomics and Bioinformatics Center, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Yongpan Wang
- The Applied Plant Genomics Laboratory, Crop Genomics and Bioinformatics Center, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Wenling Zhai
- The Applied Plant Genomics Laboratory, Crop Genomics and Bioinformatics Center, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Nan Lu
- The Applied Plant Genomics Laboratory, Crop Genomics and Bioinformatics Center, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Rong Wei
- The Applied Plant Genomics Laboratory, Crop Genomics and Bioinformatics Center, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Yang Yang
- The Applied Plant Genomics Laboratory, Crop Genomics and Bioinformatics Center, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Yuzhou Han
- The Applied Plant Genomics Laboratory, Crop Genomics and Bioinformatics Center, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Yong Zhang
- The Applied Plant Genomics Laboratory, Crop Genomics and Bioinformatics Center, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Haiyan Jia
- The Applied Plant Genomics Laboratory, Crop Genomics and Bioinformatics Center, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Zhengqiang Ma
- The Applied Plant Genomics Laboratory, Crop Genomics and Bioinformatics Center, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
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137
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Wolde GM, Trautewig C, Mascher M, Schnurbusch T. Genetic insights into morphometric inflorescence traits of wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2019; 132:1661-1676. [PMID: 30762083 PMCID: PMC6531419 DOI: 10.1007/s00122-019-03305-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Accepted: 02/05/2019] [Indexed: 05/02/2023]
Abstract
KEY MESSAGE Modifying morphometric inflorescence traits is important for increasing grain yield in wheat. Mapping revealed nine QTL, including new QTL and a new allele for the q locus, controlling wheat spike morphometric traits. To identify loci controlling spike morphometric traits, namely spike length (SL), internode length (IL), node number per spike (NPS), and node density (ND), we studied 146 Recombinant Inbred Lines of tetraploid wheat (Triticum turgidum L.) derived from standard spike and spike-branching mutant parents. Phenotypic analyses of spike morphometric traits showed low genetic coefficients of variation, resulting in high heritabilities. The phenotypic correlation between NPS with growing degree days (GDD) suggested the importance of GDD in the determination of node number in wheat. The major effect QTL for GDD or heading date was mapped to chromosome 7BS carrying the flowering time gene, Vrn3-B1. Mapping also identified nine QTL controlling spike morphometric traits. Most of these loci controlled more than a single trait, suggesting a close genetic interrelationship among spike morphometric traits. For example, this study identified a new QTL, QND.ipk-4AL, controlling ND (up to 17.6% of the phenotypic variance), IL (up to 11% of the phenotypic variance), and SL (up to 20.8% of the phenotypic variance). Similarly, the major effect QTL for IL was mapped to the q locus. Sequencing of the Q/q gene further revealed a new q allele, qdel-5A, in spike-branching accessions possessing a six base pair deletion close to the miR172 target site. The identification of qdel-5A suggested that the spike-branching tetraploid wheats are double mutants for the spikelet meristem (SM) identity gene, i.e., branched headt (TtBHt), and the q gene, which is believed to be involved in the SM indeterminacy complex in wheat.
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Affiliation(s)
- Gizaw M Wolde
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3 OT Gatersleben, 06466, Seeland, Germany
- Department of Plant Sciences, University of California, Davis, USA
| | - Corinna Trautewig
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3 OT Gatersleben, 06466, Seeland, Germany
| | - Martin Mascher
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3 OT Gatersleben, 06466, Seeland, Germany
| | - Thorsten Schnurbusch
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3 OT Gatersleben, 06466, Seeland, Germany.
- Faculty of Natural Sciences III, Institute of Agricultural and Nutritional Sciences, Martin-Luther-University, Halle-Wittenberg, 06120, Halle, Germany.
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138
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Ustyantsev KV, Goncharov NP. Homology of Genes Controlling Architectonics of Vegetative and Generative Organs in Barley and Rice and Their Application for Wheat Biodiversity Expansion and Breeding. RUSS J GENET+ 2019. [DOI: 10.1134/s1022795419050156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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139
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Guichard A, Haque T, Bobik M, Xu XRS, Klanseck C, Kushwah RBS, Berni M, Kaduskar B, Gantz VM, Bier E. Efficient allelic-drive in Drosophila. Nat Commun 2019; 10:1640. [PMID: 30967548 PMCID: PMC6456580 DOI: 10.1038/s41467-019-09694-w] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Accepted: 03/21/2019] [Indexed: 01/08/2023] Open
Abstract
Gene-drive systems developed in several organisms result in super-Mendelian inheritance of transgenic insertions. Here, we generalize this "active genetic" approach to preferentially transmit allelic variants (allelic-drive) resulting from only a single or a few nucleotide alterations. We test two configurations for allelic-drive: one, copy-cutting, in which a non-preferred allele is selectively targeted for Cas9/guide RNA (gRNA) cleavage, and a more general approach, copy-grafting, that permits selective inheritance of a desired allele located in close proximity to the gRNA cut site. We also characterize a phenomenon we refer to as lethal-mosaicism that dominantly eliminates NHEJ-induced mutations and favors inheritance of functional cleavage-resistant alleles. These two efficient allelic-drive methods, enhanced by lethal mosaicism and a trans-generational drive process we refer to as "shadow-drive", have broad practical applications in improving health and agriculture and greatly extend the active genetics toolbox.
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Affiliation(s)
- Annabel Guichard
- Section of Cell and Developmental Biology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0335, USA
| | - Tisha Haque
- Section of Cell and Developmental Biology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0335, USA
| | - Marketta Bobik
- Section of Cell and Developmental Biology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0335, USA
| | - Xiang-Ru S Xu
- Section of Cell and Developmental Biology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0335, USA
| | - Carissa Klanseck
- Section of Cell and Developmental Biology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0335, USA
| | - Raja Babu Singh Kushwah
- Section of Cell and Developmental Biology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0335, USA
- Tata Institute for Genetics and Society-India (TIGS), TIGS Center at inStem, Bangalore, 560065, India
| | - Mateus Berni
- Instituto de Ciências Biomédicas (ICB), Universidade Federal do Rio de Janeiro, Av. Carlos Chagas Filho 373, Ilha do Fundão, Rio de Janeiro, 21941-902, RJ, Brazil
- Post-graduate Program in Morphological Sciences, Federal University of Rio de Janeiro (PCM/UFRJ), Rio de Janeiro, 21941-902, RJ, Brazil
| | - Bhagyashree Kaduskar
- Section of Cell and Developmental Biology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0335, USA
- Tata Institute for Genetics and Society-India (TIGS), TIGS Center at inStem, Bangalore, 560065, India
| | - Valentino M Gantz
- Section of Cell and Developmental Biology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0335, USA
| | - Ethan Bier
- Section of Cell and Developmental Biology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0335, USA.
- Tata Institute for Genetics and Society-UCSD, La Jolla, CA, 92093-0335, USA.
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140
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Barbier FF, Dun EA, Kerr SC, Chabikwa TG, Beveridge CA. An Update on the Signals Controlling Shoot Branching. TRENDS IN PLANT SCIENCE 2019; 24:220-236. [PMID: 30797425 DOI: 10.1016/j.tplants.2018.12.001] [Citation(s) in RCA: 154] [Impact Index Per Article: 30.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Revised: 12/11/2018] [Accepted: 12/20/2018] [Indexed: 05/21/2023]
Abstract
Many new questions on the regulation of shoot branching have been raised in recent years, prompting a review and reassessment of the role of each signal involved. Sugars and their signaling networks have been attributed a major role in the early events of axillary bud outgrowth, whereas cytokinin appears to play a critical role in the modulation of this process in response to the environment. Perception of the recently discovered hormone strigolactone is now quite well understood, while the downstream targets remain largely unknown. Recent literature has highlighted that auxin export from a bud is important for its subsequent growth.
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Affiliation(s)
- Francois F Barbier
- The University of Queensland, School of Biological Sciences, St. Lucia, QLD 4072, Australia
| | - Elizabeth A Dun
- The University of Queensland, School of Biological Sciences, St. Lucia, QLD 4072, Australia; These authors contributed equally to this publication
| | - Stephanie C Kerr
- The University of Queensland, School of Biological Sciences, St. Lucia, QLD 4072, Australia; These authors contributed equally to this publication
| | - Tinashe G Chabikwa
- The University of Queensland, School of Biological Sciences, St. Lucia, QLD 4072, Australia
| | - Christine A Beveridge
- The University of Queensland, School of Biological Sciences, St. Lucia, QLD 4072, Australia.
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141
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Haas M, Schreiber M, Mascher M. Domestication and crop evolution of wheat and barley: Genes, genomics, and future directions. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2019; 61:204-225. [PMID: 30414305 DOI: 10.1111/jipb.12737] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Accepted: 10/27/2018] [Indexed: 05/02/2023]
Abstract
Wheat and barley are two of the founder crops of the agricultural revolution that took place 10,000 years ago in the Fertile Crescent and both crops remain among the world's most important crops. Domestication of these crops from their wild ancestors required the evolution of traits useful to humans, rather than survival in their natural environment. Of these traits, grain retention and threshability, yield improvement, changes to photoperiod sensitivity and nutritional value are most pronounced between wild and domesticated forms. Knowledge about the geographical origins of these crops and the genes responsible for domestication traits largely pre-dates the era of next-generation sequencing, although sequencing will lead to new insights. Molecular markers were initially used to calculate distance (relatedness), genetic diversity and to generate genetic maps which were useful in cloning major domestication genes. Both crops are characterized by large, complex genomes which were long thought to be beyond the scope of whole-genome sequencing. However, advances in sequencing technologies have improved the state of genomic resources for both wheat and barley. The availability of reference genomes for wheat and some of its progenitors, as well as for barley, sets the stage for answering unresolved questions in domestication genomics of wheat and barley.
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Affiliation(s)
- Matthew Haas
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Corrensstraße 3, 06466 Seeland, Germany
| | - Mona Schreiber
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Corrensstraße 3, 06466 Seeland, Germany
- Palaeogenetics Group, Institute of Organismic and Molecular Evolution, Johannes Gutenberg University Mainz, 55099 Mainz, Germany
| | - Martin Mascher
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Corrensstraße 3, 06466 Seeland, Germany
- German Center for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, 04103 Leipzig, Germany
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142
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Koppolu R, Schnurbusch T. Developmental pathways for shaping spike inflorescence architecture in barley and wheat. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2019; 61:278-295. [PMID: 30609316 DOI: 10.1111/jipb.12771] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Accepted: 12/18/2018] [Indexed: 05/19/2023]
Abstract
Grass species display a wide array of inflorescences ranging from highly branched compound/panicle inflorescences to unbranched spike inflorescences. The unbranched spike is a characteristic feature of the species of tribe Triticeae, including economically important crops, such as wheat and barley. In this review, we describe two important developmental genetic mechanisms regulating spike inflorescence architecture in barley and wheat. These include genetic regulation of (i) row-type pathway specific to Hordeum species and (ii) unbranched spike development in barley and wheat. For a comparative understanding, we describe the branched inflorescence phenotypes of rice and maize along with unbranched Triticeae inflorescences. In the end, we propose a simplified model describing a probable mechanism leading to unbranched spike formation in Triticeae species.
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Affiliation(s)
- Ravi Koppolu
- Independant HEISENBERG-Research Group Plant Architecture, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3, OT Gatersleben, 06466 Seeland, Germany
| | - Thorsten Schnurbusch
- Independant HEISENBERG-Research Group Plant Architecture, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3, OT Gatersleben, 06466 Seeland, Germany
- Faculty of Natural Sciences III, Institute of Agricultural and Nutritional Sciences, Martin-Luther-University, Halle-Wittenberg, 06120 Halle, Germany
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143
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Zwirek M, Waugh R, McKim SM. Interaction between row-type genes in barley controls meristem determinacy and reveals novel routes to improved grain. THE NEW PHYTOLOGIST 2019; 221:1950-1965. [PMID: 30339269 PMCID: PMC6492131 DOI: 10.1111/nph.15548] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Accepted: 09/22/2018] [Indexed: 05/24/2023]
Abstract
Hordeum species develop a central spikelet flanked by two lateral spikelets at each inflorescence node. In 'two-rowed' spikes, the central spikelet alone is fertile and sets grain, while in 'six-rowed' spikes, lateral spikelets can also produce grain. Induced loss-of-function alleles of any of five Six-rowed spike (VRS) genes (VRS1-5) cause complete to intermediate gains of lateral spikelet fertility. Current six-row cultivars contain natural defective vrs1 and vrs5 alleles. Little information is known about VRS mechanism(s). We used comparative developmental, expression and genetic analyses on single and double vrs mutants to learn more about how VRS genes control development and assess their agronomic potential. We show that all VRS genes repress fertility at carpel and awn emergence in developing lateral spikelets. VRS4, VRS3 and VRS5 work through VRS1 to suppress fertility, probably by inducing VRS1 expression. Pairing vrs3, vrs4 or vrs5 alleles increased lateral spikelet fertility, despite the presence of a functional VRS1 allele. The vrs3 allele caused loss of spikelet identity and determinacy, improved grain homogeneity and increased tillering in a vrs4 background, while with vrs5, decreased tiller number and increased grain weight. Interactions amongst VRS genes control spikelet infertility, determinacy and outgrowth, and novel routes to improving six-row grain.
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Affiliation(s)
- Monika Zwirek
- Cell and Molecular SciencesThe James Hutton InstituteInvergowrieDundeeDD2 5DAUK
| | - Robbie Waugh
- Cell and Molecular SciencesThe James Hutton InstituteInvergowrieDundeeDD2 5DAUK
- Division of Plant SciencesUniversity of Dundee at The James Hutton InstituteInvergowrieDundeeDD2 5DAUK
| | - Sarah M. McKim
- Division of Plant SciencesUniversity of Dundee at The James Hutton InstituteInvergowrieDundeeDD2 5DAUK
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144
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Gauley A, Boden SA. Genetic pathways controlling inflorescence architecture and development in wheat and barley. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2019; 61:296-309. [PMID: 30325110 PMCID: PMC6900778 DOI: 10.1111/jipb.12732] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Accepted: 10/15/2018] [Indexed: 05/18/2023]
Abstract
Modifications of inflorescence architecture have been crucial for the successful domestication of wheat and barley, which are central members of the Triticeae tribe that provide essential grains for the human diet. Investigation of the genes and alleles that underpin domestication-related traits has provided valuable insights into the molecular regulation of inflorescence development of the Triticeae, and further investigation of modified forms of architecture are proving to be equally fruitful. The identified genes are involved in diverse biological processes, including transcriptional regulation, hormone biosynthesis and metabolism, post-transcriptional and post-translational regulation, which alter inflorescence architecture by modifying the development and fertility of lateral organs, called spikelets and florets. Recent advances in sequencing capabilities and the generation of mutant populations are accelerating the identification of genes that influence inflorescence development, which is important given that genetic variation for this trait promises to be a valuable resource for optimizing grain production. This review assesses recent advances in our understanding of the genes controlling inflorescence development in wheat and barley, with the aim of highlighting the importance of improvements in developmental biology for optimizing the agronomic performance of staple crop plants.
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Affiliation(s)
- Adam Gauley
- Department of Crop GeneticsJohn Innes CentreNorwich Research ParkNorwichNR4 7UHUnited Kingdom
| | - Scott A. Boden
- Department of Crop GeneticsJohn Innes CentreNorwich Research ParkNorwichNR4 7UHUnited Kingdom
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145
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Wang M, Le Moigne MA, Bertheloot J, Crespel L, Perez-Garcia MD, Ogé L, Demotes-Mainard S, Hamama L, Davière JM, Sakr S. BRANCHED1: A Key Hub of Shoot Branching. FRONTIERS IN PLANT SCIENCE 2019; 10:76. [PMID: 30809235 PMCID: PMC6379311 DOI: 10.3389/fpls.2019.00076] [Citation(s) in RCA: 79] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Accepted: 01/17/2019] [Indexed: 05/20/2023]
Abstract
Shoot branching is a key process for plant growth and fitness. Newly produced axes result from axillary bud outgrowth, which is at least partly mediated through the regulation of BRANCHED1 gene expression (BRC1/TB1/FC1). BRC1 encodes a pivotal bud-outgrowth-inhibiting transcription factor belonging to the TCP family. As the regulation of BRC1 expression is a hub for many shoot-branching-related mechanisms, it is influenced by endogenous (phytohormones and nutrients) and exogenous (light) inputs, which involve so-far only partly identified molecular networks. This review highlights the central role of BRC1 in shoot branching and its responsiveness to different stimuli, and emphasizes the different knowledge gaps that should be addressed in the near future.
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Affiliation(s)
- Ming Wang
- Institut de Recherche en Horticulture et Semences, Agrocampus-Ouest, INRA, SFR 4207 QUASAV, Université d’Angers, Beaucouzé, France
| | - Marie-Anne Le Moigne
- Institut de Recherche en Horticulture et Semences, Agrocampus-Ouest, INRA, SFR 4207 QUASAV, Université d’Angers, Beaucouzé, France
| | - Jessica Bertheloot
- Institut de Recherche en Horticulture et Semences, Agrocampus-Ouest, INRA, SFR 4207 QUASAV, Université d’Angers, Beaucouzé, France
| | - Laurent Crespel
- Institut de Recherche en Horticulture et Semences, Agrocampus-Ouest, INRA, SFR 4207 QUASAV, Université d’Angers, Beaucouzé, France
| | - Maria-Dolores Perez-Garcia
- Institut de Recherche en Horticulture et Semences, Agrocampus-Ouest, INRA, SFR 4207 QUASAV, Université d’Angers, Beaucouzé, France
| | - Laurent Ogé
- Institut de Recherche en Horticulture et Semences, Agrocampus-Ouest, INRA, SFR 4207 QUASAV, Université d’Angers, Beaucouzé, France
| | - Sabine Demotes-Mainard
- Institut de Recherche en Horticulture et Semences, Agrocampus-Ouest, INRA, SFR 4207 QUASAV, Université d’Angers, Beaucouzé, France
| | - Latifa Hamama
- Institut de Recherche en Horticulture et Semences, Agrocampus-Ouest, INRA, SFR 4207 QUASAV, Université d’Angers, Beaucouzé, France
| | - Jean-Michel Davière
- Institut de Biologie Moléculaire des Plantes, UPR2357, Université de Strasbourg, Strasbourg, France
| | - Soulaiman Sakr
- Institut de Recherche en Horticulture et Semences, Agrocampus-Ouest, INRA, SFR 4207 QUASAV, Université d’Angers, Beaucouzé, France
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146
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Boden SA, Østergaard L. How can developmental biology help feed a growing population? Development 2019; 146:146/3/dev172965. [PMID: 30709913 DOI: 10.1242/dev.172965] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Agriculture is challenged globally from a variety of fronts, including a steady increase in world population, changes in climate and a requirement to reduce fertiliser inputs. In the production of crops that are able to overcome these challenges, developmental biology can play a crucial role. The process of domesticating wild progenitors into edible crops is closely linked to modification of developmental processes, and the steps that are needed to face the current challenges will equally require developmental modifications. In this Spotlight, we describe the achievements by developmental biologists in identifying the genes responsible for domestication of some of the most important crops, and highlight that developmental biology is in a unique position to remain centre stage in improving crop performance to meet current and future demands. We propose that the explosive technological advances in sequencing, genome editing and advanced data processing provide an excellent opportunity for researchers to combine scientific disciplines and realise the continued potential of plants as the primary food source for generations to come.
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Affiliation(s)
- Scott A Boden
- Department of Crop Genetics, John Innes Centre, Norwich Research Park, Norwich NR4 7UH, UK
| | - Lars Østergaard
- Department of Crop Genetics, John Innes Centre, Norwich Research Park, Norwich NR4 7UH, UK
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147
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Dong Z, Alexander M, Chuck G. Understanding Grass Domestication through Maize Mutants. Trends Genet 2019; 35:118-128. [DOI: 10.1016/j.tig.2018.10.007] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Revised: 10/17/2018] [Accepted: 10/29/2018] [Indexed: 11/28/2022]
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148
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Borrill P, Harrington SA, Uauy C. Applying the latest advances in genomics and phenomics for trait discovery in polyploid wheat. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2019; 97:56-72. [PMID: 30407665 PMCID: PMC6378701 DOI: 10.1111/tpj.14150] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Revised: 10/23/2018] [Accepted: 10/30/2018] [Indexed: 05/10/2023]
Abstract
Improving traits in wheat has historically been challenging due to its large and polyploid genome, limited genetic diversity and in-field phenotyping constraints. However, within recent years many of these barriers have been lowered. The availability of a chromosome-level assembly of the wheat genome now facilitates a step-change in wheat genetics and provides a common platform for resources, including variation data, gene expression data and genetic markers. The development of sequenced mutant populations and gene-editing techniques now enables the rapid assessment of gene function in wheat directly. The ability to alter gene function in a targeted manner will unmask the effects of homoeolog redundancy and allow the hidden potential of this polyploid genome to be discovered. New techniques to identify and exploit the genetic diversity within wheat wild relatives now enable wheat breeders to take advantage of these additional sources of variation to address challenges facing food production. Finally, advances in phenomics have unlocked rapid screening of populations for many traits of interest both in greenhouses and in the field. Looking forwards, integrating diverse data types, including genomic, epigenetic and phenomics data, will take advantage of big data approaches including machine learning to understand trait biology in wheat in unprecedented detail.
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Affiliation(s)
- Philippa Borrill
- School of BiosciencesThe University of BirminghamBirminghamB15 2TTUK
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149
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Genetic modification of spikelet arrangement in wheat increases grain number without significantly affecting grain weight. Mol Genet Genomics 2018; 294:457-468. [PMID: 30591960 DOI: 10.1007/s00438-018-1523-5] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Accepted: 12/17/2018] [Indexed: 10/27/2022]
Abstract
Crop yield is determined by the acquisition and allocation of photoassimilates in sink organs. Therefore, genetic modification of sink size is essential for understanding the complex signaling network regulating sink strength and source activities. Sink size in wheat depends on the number of spikelets per spike, floret/grain number per spikelet as well as the grain weight or dry matter accumulation. Hence, increasing spikelet number and improving sink size are targets for wheat breeding. The main objective of the present work was to genetically modify the wheat spike architecture, i.e., the sink size by introgressing the 'Miracle wheat' or the bht-A1 allele into an elite durum wheat cv. Floradur. After four generations of backcrossing to the recurrent parent, Floradur (FL), we have successfully developed Near Isogenic Lines (NILs) with a modified spikelet arrangement thereby increasing spikelet and grain number per spike. Genotyping of bht-A1 NILs using the Genotyping-By-Sequencing approach revealed that the size of the introgressed donor segments carrying bht-A1 ranged from 2.3 to 38 cM. The size of the shortest donor segment introgressed into bht-A1 NILs was estimated to be 9.8 mega base pairs (Mbp). Phenotypic analysis showed that FL-bht-A1-NILs (BC3F2 and BC3F3) carry up to seven additional spikelets per spike, leading to up to 29% increase in spike dry weight at harvest (SDWh). The increased SDWh was accompanied by up to 23% more grains per spike. More interestingly, thousand kernel weight (TKW) did not show significant differences between FL-bht-A1-NILs and Floradur, suggesting that besides increasing spikelet number, bht-A1 could also be targeted for increasing grain yield in wheat. Our study suggests that the genetic modification of spikelet number in wheat can be an entry point for improving grain yield, most interestingly and also unexpectedly without the trade-off effects on TKW. Hence, FL-bht-A1-NILs are not only essential for increasing grain number, but also for understanding the molecular and genetic mechanism of the source-sink interaction for a clearer picture of the complex signaling network regulating sink strength and source activities.
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150
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Zhao Z, Hu J, Chen S, Luo Z, Luo D, Wen J, Tu T, Zhang D. Evolution of CYCLOIDEA-like genes in Fabales: Insights into duplication patterns and the control of floral symmetry. Mol Phylogenet Evol 2018; 132:81-89. [PMID: 30508631 DOI: 10.1016/j.ympev.2018.11.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Revised: 11/08/2018] [Accepted: 11/15/2018] [Indexed: 11/29/2022]
Abstract
Cycloidea-like (CYC-like) genes are the key regulatory factors in the development of flower symmetry. Duplication and/or reduction of CYC-like genes have occurred several times in various angiosperm groups and are hypothesized to be correlated with the evolution of flower symmetry, which in turn has contributed to the evolutionary success of these groups. However, less is known about the evolutionary scenario of CYC-like genes in the whole Fabales, which contains four families with either symmetric or actinomorphic flowers. Here we investigated the evolution of CYC-like genes in all the four families of Fabales and recovered one to nine CYC-like genes (CYC1, CYC2, and CYC3) depending on which lineages, but the CYC3 genes were most likely lost in the ancestor of Leguminosae. Phylogenetic analysis suggested that the CYC-like genes could have undergone multiple duplications and losses in different plant lineages and formed distinct paralogous/orthologous clades. The ancestor of the Papilionoideae and Caesalpinioideae may possess two paralogs of CYC1 genes but one of them was subsequently lost in Papilionoideae and was retained only in several species of Caesalpinioideae. CYC2 genes were more frequently duplicated in Papilionoideae than in other legumes. We propose that the diversification patterns of both CYC1 and CYC2 genes are not related to the floral symmetry in non-papilionoid Fabales groups, however, gene duplication and functional divergence of CYC2 are essential for the floral zygomorphy of Papilionoideae. This is the first systematic analysis of the CYC-like genes in Fabales and could form the basis for further study of molecular mechanisms controlling floral symmetry in non-model plants of Fabales.
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Affiliation(s)
- Zhongtao Zhao
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China
| | - Jin Hu
- Guangdong Eco-engineering Polytechnic, Guangzhou 510520, China
| | - Shi Chen
- Beneficial Insects Institute, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Zhonglai Luo
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China
| | - Da Luo
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin 150081, China
| | - Jun Wen
- Department of Botany, National Museum of Natural History, Smithsonian Institution, Washington, DC, USA
| | - Tieyao Tu
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China.
| | - Dianxiang Zhang
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China
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