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Perfil`ev R, Shcherban A, Potapov D, Maksimenko K, Kiryukhin S, Gurinovich S, Panarina V, Polyudina R, Salina E. Genome-wide association study revealed some new candidate genes associated with flowering and maturity time of soybean in Central and West Siberian regions of Russia. FRONTIERS IN PLANT SCIENCE 2024; 15:1463121. [PMID: 39464279 PMCID: PMC11502416 DOI: 10.3389/fpls.2024.1463121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/11/2024] [Accepted: 09/23/2024] [Indexed: 10/29/2024]
Abstract
The duration of flowering and maturity is an important agricultural trait determining the suitability of a variety for cultivation in the target region. In the present study, we used genome-wide association analysis (GWAS) to search for loci associated with soybean flowering and maturity in the Central and West Siberian regions of Russia. A field experiment was conducted in 2021/2022 at two locations (Orel and Novosibirsk). A germplasm collection of 180 accessions was genotyped using SoySNP50K Illumina Infinium Bead-Chip. From the initial collection, we selected 129 unrelated accessions and conducted GWAS on this dataset using two multi-locus models: FarmCPU and BLINK. As a result, we identified 13 loci previously reported to be associated with duration of soybean development, and 17 new loci. 33 candidate genes were detected in these loci using analysis of co-expression, gene ontology, and literature data, with the best candidates being Glyma.03G177500, Glyma.13G177400, and Glyma.06G213100. These candidate genes code the Arabidopis orthologs TOE1 (TARGET OF EAT 1), SPL3 (SQUAMOSA PROMOTER BINDING PROTEIN LIKE 3), the DELLA protein, respectively. In these three genes, we found haplotypes which may be associated with the length of soybean flowering and maturity, providing soybean adaptation to a northern latitudes.
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Affiliation(s)
- Roman Perfil`ev
- Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia
| | - Andrey Shcherban
- Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia
- Kurchatov Center for Genome Research of ICG SB RAS, Novosibirsk, Russia
| | - Dmitriy Potapov
- Siberian Federal Scientific Centre of Agro-BioTechnologies RAS, Novosibirsk, Russia
| | | | - Sergey Kiryukhin
- FSBSI Federal Scientific Center of Legumes and Groat Crops, Orel, Russia
| | - Sergey Gurinovich
- FSBSI Federal Scientific Center of Legumes and Groat Crops, Orel, Russia
| | - Veronika Panarina
- FSBSI Federal Scientific Center of Legumes and Groat Crops, Orel, Russia
| | - Revmira Polyudina
- FSBSI Federal Scientific Center of Legumes and Groat Crops, Orel, Russia
| | - Elena Salina
- Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia
- Kurchatov Center for Genome Research of ICG SB RAS, Novosibirsk, Russia
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Lee N, Shim JS, Kang MK, Kwon M. Insight from expression profiles of FT orthologs in plants: conserved photoperiodic transcriptional regulatory mechanisms. FRONTIERS IN PLANT SCIENCE 2024; 15:1397714. [PMID: 38887456 PMCID: PMC11180818 DOI: 10.3389/fpls.2024.1397714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Accepted: 05/20/2024] [Indexed: 06/20/2024]
Abstract
Floral transition from the vegetative to the reproductive stages is precisely regulated by both environmental and endogenous signals. Among these signals, photoperiod is one of the most important environmental factors for onset of flowering. A florigen, FLOWERING LOCUS T (FT) in Arabidopsis, has thought to be a major hub in the photoperiod-dependent flowering time regulation. Expression levels of FT likely correlates with potence of flowering. Under long days (LD), FT is mainly synthesized in leaves, and FT protein moves to shoot apical meristem (SAM) where it functions and in turns induces flowering. Recently, it has been reported that Arabidopsis grown under natural LD condition flowers earlier than that grown under laboratory LD condition, in which a red (R)/far-red (FR) ratio of light sources determines FT expression levels. Additionally, FT expression profile changes in response to combinatorial effects of FR light and photoperiod. FT orthologs exist in most of plants and functions are thought to be conserved. Although molecular mechanisms underlying photoperiodic transcriptional regulation of FT orthologs have been studied in several plants, such as rice, however, dynamics in expression profiles of FT orthologs have been less spotlighted. This review aims to revisit previously reported but overlooked expression information of FT orthologs from various plant species and classify these genes depending on the expression profiles. Plants, in general, could be classified into three groups depending on their photoperiodic flowering responses. Thus, we discuss relationship between photoperiodic responsiveness and expression of FT orthologs. Additionally, we also highlight the expression profiles of FT orthologs depending on their activities in flowering. Comparative analyses of diverse plant species will help to gain insight into molecular mechanisms for flowering in nature, and this can be utilized in the future for crop engineering to improve yield by controlling flowering time.
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Affiliation(s)
- Nayoung Lee
- Research Institute of Molecular Alchemy (RIMA), Gyeongsang National University, Jinju, Republic of Korea
| | - Jae Sung Shim
- School of Biological Sciences and Technology, Chonnam National University, Gwangju, Republic of Korea
| | - Min-Kyoung Kang
- Division of Applied Life Science (BK21 Four), Anti-aging Bio Cell factory Regional Leading Research Center (ABC-RLRC), Gyeongsang National University, Jinju, Republic of Korea
| | - Moonhyuk Kwon
- Division of Applied Life Science (BK21 Four), ABC-RLRC, RIMA, Gyeongsang National University, Jinju, Republic of Korea
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3
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Wang F, Li S, Kong F, Lin X, Lu S. Altered regulation of flowering expands growth ranges and maximizes yields in major crops. FRONTIERS IN PLANT SCIENCE 2023; 14:1094411. [PMID: 36743503 PMCID: PMC9892950 DOI: 10.3389/fpls.2023.1094411] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 01/04/2023] [Indexed: 06/14/2023]
Abstract
Flowering time influences reproductive success in plants and has a significant impact on yield in grain crops. Flowering time is regulated by a variety of environmental factors, with daylength often playing an important role. Crops can be categorized into different types according to their photoperiod requirements for flowering. For instance, long-day crops include wheat (Triticum aestivum), barley (Hordeum vulgare), and pea (Pisum sativum), while short-day crops include rice (Oryza sativa), soybean (Glycine max), and maize (Zea mays). Understanding the molecular regulation of flowering and genotypic variation therein is important for molecular breeding and crop improvement. This paper reviews the regulation of flowering in different crop species with a particular focus on how photoperiod-related genes facilitate adaptation to local environments.
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Affiliation(s)
| | | | | | - Xiaoya Lin
- *Correspondence: Xiaoya Lin, ; Sijia Lu,
| | - Sijia Lu
- *Correspondence: Xiaoya Lin, ; Sijia Lu,
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4
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Yue L, Pei X, Kong F, Zhao L, Lin X. Divergence of functions and expression patterns of soybean bZIP transcription factors. FRONTIERS IN PLANT SCIENCE 2023; 14:1150363. [PMID: 37123868 PMCID: PMC10146240 DOI: 10.3389/fpls.2023.1150363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 03/24/2023] [Indexed: 05/03/2023]
Abstract
Soybean (Glycine max) is a major protein and oil crop. Soybean basic region/leucine zipper (bZIP) transcription factors are involved in many regulatory pathways, including yield, stress responses, environmental signaling, and carbon-nitrogen balance. Here, we discuss the members of the soybean bZIP family and their classification: 161 members have been identified and clustered into 13 groups. Our review of the transcriptional regulation and functions of soybean bZIP members provides important information for future study of bZIP transcription factors and genetic resources for soybean breeding.
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Affiliation(s)
- Lin Yue
- Guangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, Guangzhou Key Laboratory of Crop Gene Editing, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China
| | - Xinxin Pei
- Key Laboratory of Soybean Biology of Ministry of Education China, Northeast Agricultural University, Harbin, China
| | - Fanjiang Kong
- Guangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, Guangzhou Key Laboratory of Crop Gene Editing, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China
| | - Lin Zhao
- Key Laboratory of Soybean Biology of Ministry of Education China, Northeast Agricultural University, Harbin, China
- *Correspondence: Xiaoya Lin, ; Lin Zhao,
| | - Xiaoya Lin
- Guangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, Guangzhou Key Laboratory of Crop Gene Editing, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China
- *Correspondence: Xiaoya Lin, ; Lin Zhao,
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5
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Lv T, Wang L, Zhang C, Liu S, Wang J, Lu S, Fang C, Kong L, Li Y, Li Y, Hou X, Liu B, Kong F, Li X. Identification of two quantitative genes controlling soybean flowering using bulked-segregant analysis and genetic mapping. FRONTIERS IN PLANT SCIENCE 2022; 13:987073. [PMID: 36531378 PMCID: PMC9749486 DOI: 10.3389/fpls.2022.987073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 10/24/2022] [Indexed: 06/17/2023]
Abstract
Photoperiod responsiveness is important to soybean production potential and adaptation to local environments. Varieties from temperate regions generally mature early and exhibit extremely low yield when grown under inductive short-day (SD) conditions. The long-juvenile (LJ) trait is essentially a reduction and has been introduced into soybean cultivars to improve yield in tropical environments. In this study, we used next-generation sequencing (NGS)-based bulked segregant analysis (BSA) to simultaneously map qualitative genes controlling the LJ trait in soybean. We identified two genomic regions on scaffold_32 and chromosome 18 harboring loci LJ32 and LJ18, respectively. Further, we identified LJ32 on the 228.7-kb scaffold_32 as the soybean pseudo-response-regulator gene Tof11 and LJ18 on a 301-kb region of chromosome 18 as a novel PROTEIN FLOWERING LOCUS T-RELATED gene, Glyma.18G298800. Natural variants of both genes contribute to LJ trait regulation in tropical regions. The molecular identification and functional characterization of Tof11 and LJ18 will enhance understanding of the molecular mechanisms underlying the LJ trait and provide useful genetic resources for soybean molecular breeding in tropical regions.
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Affiliation(s)
- Tianxiao Lv
- Guangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, Guangzhou Key Laboratory of Crop Gene Editing, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou Higher Education Mega Center, Guangzhou University, Guangzhou, China
| | - Lingshuang Wang
- Guangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, Guangzhou Key Laboratory of Crop Gene Editing, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou Higher Education Mega Center, Guangzhou University, Guangzhou, China
| | - Chunyu Zhang
- Key Laboratory of South China Agricultural Plant Molecular Analysis and Genetic Improvement, Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Innovative Academy of Seed Design, Chinese Academy of Sciences, Guangzhou, China
| | - Shu Liu
- Key Laboratory of South China Agricultural Plant Molecular Analysis and Genetic Improvement, Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Innovative Academy of Seed Design, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Jinxing Wang
- Suihua Branch Institute, Heilongjiang Academy of Agricultural Sciences, Suihua, Heilongjiang, China
| | - Sijia Lu
- Guangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, Guangzhou Key Laboratory of Crop Gene Editing, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou Higher Education Mega Center, Guangzhou University, Guangzhou, China
| | - Chao Fang
- Guangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, Guangzhou Key Laboratory of Crop Gene Editing, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou Higher Education Mega Center, Guangzhou University, Guangzhou, China
| | - Lingping Kong
- Guangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, Guangzhou Key Laboratory of Crop Gene Editing, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou Higher Education Mega Center, Guangzhou University, Guangzhou, China
| | - Yunlong Li
- Suihua Branch Institute, Heilongjiang Academy of Agricultural Sciences, Suihua, Heilongjiang, China
| | - Yuge Li
- Key Laboratory of South China Agricultural Plant Molecular Analysis and Genetic Improvement, Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Innovative Academy of Seed Design, Chinese Academy of Sciences, Guangzhou, China
| | - Xingliang Hou
- Key Laboratory of South China Agricultural Plant Molecular Analysis and Genetic Improvement, Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Innovative Academy of Seed Design, Chinese Academy of Sciences, Guangzhou, China
| | - Baohui Liu
- Guangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, Guangzhou Key Laboratory of Crop Gene Editing, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou Higher Education Mega Center, Guangzhou University, Guangzhou, China
| | - Fanjiang Kong
- Guangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, Guangzhou Key Laboratory of Crop Gene Editing, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou Higher Education Mega Center, Guangzhou University, Guangzhou, China
| | - Xiaoming Li
- Key Laboratory of South China Agricultural Plant Molecular Analysis and Genetic Improvement, Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Innovative Academy of Seed Design, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
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Guan J, Zhang J, Gong D, Zhang Z, Yu Y, Luo G, Somta P, Hu Z, Wang S, Yuan X, Zhang Y, Wang Y, Chen Y, Laosatit K, Chen X, Chen H, Sha A, Cheng X, Xie H, Wang L. Genomic analyses of rice bean landraces reveal adaptation and yield related loci to accelerate breeding. Nat Commun 2022; 13:5707. [PMID: 36175442 PMCID: PMC9523027 DOI: 10.1038/s41467-022-33515-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 09/21/2022] [Indexed: 11/29/2022] Open
Abstract
Rice bean (Vigna umbellata) is an underexploited domesticated legume crop consumed for dietary protein in Asia, yet little is known about the genetic diversity of this species. Here, we present a high-quality reference genome for a rice bean landrace (FF25) built using PacBio long-read data and a Hi-C chromatin interaction map, and assess the phylogenetic position and speciation time of rice bean within the Vigna genus. We sequence 440 landraces (two core collections), and GWAS based on data for growth sites at three widely divergent latitudes reveal loci associated with flowering and yield. Loci harboring orthologs of FUL (FRUITFULL), FT (FLOWERING LOCUS T), and PRR3 (PSEUDO-RESPONSE REGULATOR 3) contribute to the adaptation of rice bean from its low latitude center of origin towards higher latitudes, and the landraces which pyramid early-flowering alleles for these loci display maximally short flowering times. We also demonstrate that copy-number-variation for VumCYP78A6 can regulate seed-yield traits. Intriguingly, 32 landraces collected from a mountainous region in South-Central China harbor a recently acquired InDel in TFL1 (TERMINAL FLOWER1) affecting stem determinacy; these materials also have exceptionally high values for multiple human-desired traits and could therefore substantially advance breeding efforts to improve rice bean. Rice bean is an underexploited legume crop that has many desirable properties against bio and abiotic stresses. Here, the authors report the genome assembly of this species, conduct population genetics studies and reveal the genetic variations associated with adaptation and yield traits.
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Affiliation(s)
- Jiantao Guan
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.,Institute of Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.,Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jintao Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.,College of Agriculture, Yangtze University, Jingzhou, China
| | - Dan Gong
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.,College of Agriculture, Yangtze University, Jingzhou, China
| | - Zhengquan Zhang
- Institute of Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Yang Yu
- Institute of Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Gaoling Luo
- Institute of Rice Research, Guangxi Academy of Agricultural Sciences, Nanning, China
| | - Prakit Somta
- Department of Agronomy, Faculty of Agriculture at Kamphaeng Saen, Kasetsart University, Nakhon Pathom, Thailand
| | - Zheng Hu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Suhua Wang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xingxing Yuan
- Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Yaowen Zhang
- College of Agriculture, Shanxi Agricultural University, Taiyuan, China
| | - Yanlan Wang
- Crop Research Institute of Hunan Province, Changsha, China
| | - Yanhua Chen
- Institute of Rice Research, Guangxi Academy of Agricultural Sciences, Nanning, China
| | - Kularb Laosatit
- Department of Agronomy, Faculty of Agriculture at Kamphaeng Saen, Kasetsart University, Nakhon Pathom, Thailand
| | - Xin Chen
- Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Honglin Chen
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Aihua Sha
- College of Agriculture, Yangtze University, Jingzhou, China
| | - Xuzhen Cheng
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Hua Xie
- Institute of Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
| | - Lixia Wang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
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7
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Wang P, Wang L, Zhang L, Wu T, Sun B, Zhang J, Sapey E, Yuan S, Jiang B, Chen F, Wu C, Hou W, Sun S, Bai J, Han T. Genomic Dissection and Diurnal Expression Analysis Reveal the Essential Roles of the PRR Gene Family in Geographical Adaptation of Soybean. Int J Mol Sci 2022; 23:ijms23179970. [PMID: 36077363 PMCID: PMC9456279 DOI: 10.3390/ijms23179970] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 08/22/2022] [Accepted: 08/29/2022] [Indexed: 11/16/2022] Open
Abstract
Pseudo-response regulator (PRR) family members serve as key components of the core clock of the circadian clock, and play important roles in photoperiodic flowering, stress tolerance, growth, and the development of plants. In this study, 14 soybean PRR genes were identified, and classified into three groups according to phylogenetic analysis and structural characteristics. Real-time quantitative PCR analysis revealed that 13 GmPRRs exhibited obvious rhythmic expression under long-day (LD) and short-day (SD) conditions, and the expression of 12 GmPRRs was higher under LD in leaves. To evaluate the effects of natural variations in GmPRR alleles on soybean adaptation, we examined the sequences of GmPRRs among 207 varieties collected across China and the US, investigated the flowering phenotypes in six environments, and analyzed the geographical distributions of the major haplotypes. The results showed that a majority of non-synonymous mutations in the coding region were associated with flowering time, and we found that the nonsense mutations resulting in deletion of the CCT domain were related to early flowering. Haplotype analysis demonstrated that the haplotypes associated with early flowering were mostly distributed in Northeast China, while the haplotypes associated with late flowering were mostly cultivated in the lower latitudes of China. Our study of PRR family genes in soybean provides not only an important guide for characterizing the circadian clock-controlled flowering pathway but also a theoretical basis and opportunities to breed varieties with adaptation to specific regions and farming systems.
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Affiliation(s)
- Peiguo Wang
- Department of Crop Genetics and Breeding, College of Agronomy, Gansu Agricultural University, Lanzhou 730070, China
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, The Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing 100081, China
| | - Liwei Wang
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, The Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing 100081, China
| | - Lixin Zhang
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, The Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing 100081, China
| | - Tingting Wu
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, The Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing 100081, China
| | - Baiquan Sun
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, The Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing 100081, China
| | - Junquan Zhang
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, The Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing 100081, China
| | - Enoch Sapey
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, The Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing 100081, China
- Council for Scientific and Industrial Research (CSIR)-Oil Palm Research Institute, Kade P.O. Box 74, Ghana
| | - Shan Yuan
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, The Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing 100081, China
| | - Bingjun Jiang
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, The Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing 100081, China
| | - Fulu Chen
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, The Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing 100081, China
| | - Cunxiang Wu
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, The Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing 100081, China
| | - Wensheng Hou
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, The Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing 100081, China
| | - Shi Sun
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, The Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing 100081, China
| | - Jiangping Bai
- Department of Crop Genetics and Breeding, College of Agronomy, Gansu Agricultural University, Lanzhou 730070, China
- Correspondence: (J.B.); (T.H.)
| | - Tianfu Han
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, The Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing 100081, China
- Correspondence: (J.B.); (T.H.)
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8
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Yuan S, Wang Y, Wang J, Zhang C, Zhang L, Jiang B, Wu T, Chen L, Xu X, Cai Y, Sun S, Chen F, Song W, Wu C, Hou W, Yu L, Han T. GmFT3a fine-tunes flowering time and improves adaptation of soybean to higher latitudes. FRONTIERS IN PLANT SCIENCE 2022; 13:929747. [PMID: 35958200 PMCID: PMC9358591 DOI: 10.3389/fpls.2022.929747] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 07/04/2022] [Indexed: 05/30/2023]
Abstract
Onset of flowering of plants is precisely controlled by extensive environmental factors and internal molecular networks, in which FLOWERING LOCUS T (FT) is a key flowering integrator. In soybean, a typical short-day plant, 11 FT homologues are found in its genome, of which several homologues are functionally diversified in flowering pathways and the others including GmFT3a are yet unknown. In the current study, we characterized GmFT3a, which is located on the same chromosome as the flowering promoters GmFT2a and GmFT5a. Overexpression of GmFT3a significantly promoted flowering of Arabidopsis under the inductive long-day (LD) photoperiod. GmFT3a over-expressed soybean also flowered earlier than the control under LD, but they were not significantly different under inductive short-day (SD) conditions, indicating that GmFT3a acts as a flowering promoter in the non-inductive photoperiod in soybean. Compared with other GmFT homologues, GmFT3a exhibited a slighter effect in flowering promotion than GmFT2a, GmFT5a and GmFT2b under LD conditions. GmFT3a promoted flowering by regulating the expression of downstream flowering-related genes and also affected the expression of other GmFTs. According to the re-sequencing data, the regional distributions of two major haplotypes in 176 soybean varieties were analyzed. The varieties with GmFT3a-Hap2 haplotype matured relatively early, and relative higher expression of GmFT3a was detected in early maturing varieties, implying that Hap2 variation may contribute to the adaptation of soybean to higher latitude regions by increasing expression level of genes in metabolism and signaling pathways. The early flowering germplasm generated by overexpression of GmFT3a has potential to be planted at higher latitudes where non-inductive long day is dominant in the growing season, and GmFT3a can be used to fine-tune soybean flowering and maturity time and improve the geographical adaptation.
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Affiliation(s)
- Shan Yuan
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yining Wang
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- College of Life Science and Technology, Harbin Normal University, Harbin, China
| | - Junya Wang
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- College of Life Science and Technology, Harbin Normal University, Harbin, China
| | - Chunlei Zhang
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- College of Life Science and Technology, Harbin Normal University, Harbin, China
| | - Lixin Zhang
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Bingjun Jiang
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Tingting Wu
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Li Chen
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xin Xu
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yupeng Cai
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Shi Sun
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Fulu Chen
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Wenwen Song
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Cunxiang Wu
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Wensheng Hou
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Lijie Yu
- College of Life Science and Technology, Harbin Normal University, Harbin, China
| | - Tianfu Han
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- College of Life Science and Technology, Harbin Normal University, Harbin, China
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9
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Lu S, Fang C, Abe J, Kong F, Liu B. Current overview on the genetic basis of key genes involved in soybean domestication. ABIOTECH 2022; 3:126-139. [PMID: 36312442 PMCID: PMC9590488 DOI: 10.1007/s42994-022-00074-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Accepted: 06/11/2022] [Indexed: 11/28/2022]
Abstract
Modern crops were created through the domestication and genetic introgression of wild relatives and adaptive differentiation in new environments. Identifying the domestication-related genes and unveiling their molecular diversity provide clues for understanding how the domesticated variants were selected by ancient people, elucidating how and where these crops were domesticated. Molecular genetics and genomics have explored some domestication-related genes in soybean (Glycine max). Here, we summarize recent studies about the quantitative trait locus (QTL) and genes involved in the domestication traits, introduce the functions of these genes, clarify which alleles of domesticated genes were selected during domestication. A deeper understanding of soybean domestication could help to break the bottleneck of modern breeding by highlighting unused genetic diversity not selected in the original domestication process, as well as highlighting promising new avenues for the identification and research of important agronomic traits among different crop species.
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Affiliation(s)
- Sijia Lu
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, 510006 China
- Guangzhou Key Laboratory of Crop Gene Editing, Guangzhou University, Guangzhou, 510006 China
| | - Chao Fang
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, 510006 China
- Guangzhou Key Laboratory of Crop Gene Editing, Guangzhou University, Guangzhou, 510006 China
| | - Jun Abe
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Hokkaido 060-0808 Japan
| | - Fanjiang Kong
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, 510006 China
- Guangzhou Key Laboratory of Crop Gene Editing, Guangzhou University, Guangzhou, 510006 China
| | - Baohui Liu
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, 510006 China
- Guangzhou Key Laboratory of Crop Gene Editing, Guangzhou University, Guangzhou, 510006 China
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10
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Kim JH, Scaboo A, Pantalone V, Li Z, Bilyeu K. Utilization of Plant Architecture Genes in Soybean to Positively Impact Adaptation to High Yield Environments. FRONTIERS IN PLANT SCIENCE 2022; 13:891587. [PMID: 35685015 PMCID: PMC9171370 DOI: 10.3389/fpls.2022.891587] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 04/20/2022] [Indexed: 05/30/2023]
Abstract
Optimization of plant architecture by modifying stem termination and timing of flowering and maturity of soybean is a promising strategy to improve its adaptability to specific production environments. Therefore, it is important to choose a proper stem termination type and to understand morphological differences between each stem termination type under various environmental conditions. Variations in abruptness of stem termination have been generally classified into three classical genetic types, indeterminate (Dt1), determinate (dt1), and semi-determinate (Dt2). However, an additional stem termination type, termed tall determinate, and its genetic symbol, dt1-t, were introduced about 25 years ago. The tall determinate soybean lines show delayed cessation of apical stem growth and about 50% taller plant heights than the typical determinate soybeans, even though the genetic control of the tall determinate phenotype was found to be allelic to dt1. Despite the potential agronomic merits of the alternative stem termination type, knowledge about the tall determinate soybean remains limited. We clarified the molecular basis of the tall determinate stem termination type and examined potential agronomic merits of the alternative stem type under three different production environments in the US. Sequence analysis of the classical tall determinate soybean lines revealed that the dt1-t allele responsible for tall determinate stem architecture is caused by two of the identified independent missense alleles of dt1, dt1-t1 (R130K), and dt1-t2 (R62S). Also, from the comparison among soybean accessions belonging to each of the genotype categories for stem termination types, soybean accessions with tall determinate alleles were found to have a high discrepancy rate in phenotyping. Newly developed tall determinate late-maturing soybean germplasm lines had taller plant heights and a greater number of nodes with a similar stem diameter and similar pod density at the apical stem compared to typical determinate soybeans having dt1 (R166W) alleles in Southern environments in the US. The phenotype of increased pod-bearing nodes with lodging resistance has the potential to improve yield, especially grown in high yield environments. This study suggests an alternative strategy to remodel the shape of soybean plants, which can possibly lead to yield improvement through the modification of soybean plant architecture.
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Affiliation(s)
- Jeong-Hwa Kim
- Division of Plant Science and Technology, University of Missouri, Columbia, MO, United States
| | - Andrew Scaboo
- Division of Plant Science and Technology, University of Missouri, Columbia, MO, United States
| | - Vincent Pantalone
- Department of Plant Sciences, University of Tennessee, Knoxville, TN, United States
| | - Zenglu Li
- Department of Crop and Soil Sciences, University of Georgia, Athens, GA, United States
| | - Kristin Bilyeu
- Plant Genetics Research Unit, United States Department of Agriculture-Agricultural Research Service, University of Missouri, Columbia, MO, United States
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11
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Photoperiod Affects Node Appearance Rate and Flowering in Early Maturing Soybean. PLANTS 2022; 11:plants11070871. [PMID: 35406851 PMCID: PMC9003464 DOI: 10.3390/plants11070871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 03/18/2022] [Accepted: 03/22/2022] [Indexed: 11/17/2022]
Abstract
The photoperiod plays a critical role in the control of flowering timing in soybean (Glycine max (L.) Merr.) with long days increasing the time to flowering. Early flowering cultivars have been developed from breeding programs for environments with long photoperiods; however, this effect is challenging to isolate in field experiments because of other environmental influences. Our experiment examined the effect of photoperiod on the node appearance rate and time to flower for 13 early maturing soybean cultivars ranging in maturity group (MG) between 000.9 and 1.3. Growth chambers were programmed to 14, 15, 16, and 17 h photoperiods and temperature was kept at 25 °C. The date of emergence and main stem node appearance were recorded until flowering. The node appearance rate was slowest for the first node and increased thereafter. All cultivars required more time to flowering in the longer photoperiod treatments and the later rated MG had the greatest sensitivity to photoperiod. A delay in time to flower from a longer photoperiod can delay maturity and expose the crop to fall frost that can reduce seed yield and quality. Understanding and documentation of soybean photoperiod sensitivity will help plant breeders develop suitable cultivars for environments with long photoperiods.
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12
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Su Q, Chen L, Cai Y, Chen Y, Yuan S, Li M, Zhang J, Sun S, Han T, Hou W. Functional Redundancy of FLOWERING LOCUS T 3b in Soybean Flowering Time Regulation. Int J Mol Sci 2022; 23:2497. [PMID: 35269637 PMCID: PMC8910378 DOI: 10.3390/ijms23052497] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 02/21/2022] [Accepted: 02/22/2022] [Indexed: 12/17/2022] Open
Abstract
Photoperiodic flowering is an important agronomic trait that determines adaptability and yield in soybean and is strongly influenced by FLOWERING LOCUS T (FT) genes. Due to the presence of multiple FT homologs in the genome, their functions in soybean are not fully understood. Here, we show that GmFT3b exhibits functional redundancy in regulating soybean photoperiodic flowering. Bioinformatic analysis revealed that GmFT3b is a typical floral inducer FT homolog and that the protein is localized to the nucleus. Moreover, GmFT3b expression was induced by photoperiod and circadian rhythm and was more responsive to long-day (LD) conditions. We generated a homozygous ft3b knockout and three GmFT3b-overexpressing soybean lines for evaluation under different photoperiods. There were no significant differences in flowering time between the wild-type, the GmFT3b overexpressors, and the ft3b knockouts under natural long-day, short-day, or LD conditions. Although the downstream flowering-related genes GmFUL1 (a, b), GmAP1d, and GmLFY1 were slightly down-regulated in ft3b plants, the floral inducers GmFT5a and GmFT5b were highly expressed, indicating potential compensation for the loss of GmFT3b. We suggest that GmFT3b acts redundantly in flowering time regulation and may be compensated by other FT homologs in soybean.
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Affiliation(s)
- Qiang Su
- National Center for Transgenic Research in Plants, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (Q.S.); (L.C.); (Y.C.); (Y.C.); (J.Z.)
- Ministry of Agriculture Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (S.Y.); (M.L.); (S.S.); (T.H.)
| | - Li Chen
- National Center for Transgenic Research in Plants, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (Q.S.); (L.C.); (Y.C.); (Y.C.); (J.Z.)
- Ministry of Agriculture Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (S.Y.); (M.L.); (S.S.); (T.H.)
| | - Yupeng Cai
- National Center for Transgenic Research in Plants, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (Q.S.); (L.C.); (Y.C.); (Y.C.); (J.Z.)
- Ministry of Agriculture Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (S.Y.); (M.L.); (S.S.); (T.H.)
| | - Yingying Chen
- National Center for Transgenic Research in Plants, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (Q.S.); (L.C.); (Y.C.); (Y.C.); (J.Z.)
- Ministry of Agriculture Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (S.Y.); (M.L.); (S.S.); (T.H.)
| | - Shan Yuan
- Ministry of Agriculture Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (S.Y.); (M.L.); (S.S.); (T.H.)
| | - Min Li
- Ministry of Agriculture Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (S.Y.); (M.L.); (S.S.); (T.H.)
| | - Jialing Zhang
- National Center for Transgenic Research in Plants, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (Q.S.); (L.C.); (Y.C.); (Y.C.); (J.Z.)
- Ministry of Agriculture Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (S.Y.); (M.L.); (S.S.); (T.H.)
| | - Shi Sun
- Ministry of Agriculture Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (S.Y.); (M.L.); (S.S.); (T.H.)
| | - Tianfu Han
- Ministry of Agriculture Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (S.Y.); (M.L.); (S.S.); (T.H.)
| | - Wensheng Hou
- National Center for Transgenic Research in Plants, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (Q.S.); (L.C.); (Y.C.); (Y.C.); (J.Z.)
- Ministry of Agriculture Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (S.Y.); (M.L.); (S.S.); (T.H.)
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13
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Luo X, Yin M, He Y. Molecular Genetic Understanding of Photoperiodic Regulation of Flowering Time in Arabidopsis and Soybean. Int J Mol Sci 2021; 23:466. [PMID: 35008892 PMCID: PMC8745532 DOI: 10.3390/ijms23010466] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 12/25/2021] [Accepted: 12/29/2021] [Indexed: 12/15/2022] Open
Abstract
The developmental switch from a vegetative phase to reproduction (flowering) is essential for reproduction success in flowering plants, and the timing of the floral transition is regulated by various environmental factors, among which seasonal day-length changes play a critical role to induce flowering at a season favorable for seed production. The photoperiod pathways are well known to regulate flowering time in diverse plants. Here, we summarize recent progresses on molecular mechanisms underlying the photoperiod control of flowering in the long-day plant Arabidopsis as well as the short-day plant soybean; furthermore, the conservation and diversification of photoperiodic regulation of flowering in these two species are discussed.
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Affiliation(s)
- Xiao Luo
- Peking University Institute of Advanced Agricultural Sciences, Weifang 261325, China
| | - Mengnan Yin
- Chinese Academy of Sciences Center for Excellence in Molecular Plant Sciences, Shanghai 201602, China;
| | - Yuehui He
- Peking University Institute of Advanced Agricultural Sciences, Weifang 261325, China
- State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, School of Advanced Agriculture Sciences, Peking University, Beijing 100871, China
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14
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Molinari MDC, Fuganti-Pagliarini R, Barbosa DDA, Marin SRR, Marin DR, Rech EL, Mertz-Henning LM, Nepomuceno AL. Flowering process in soybean under water deficit conditions: A review on genetic aspects. Genet Mol Biol 2021; 45:e20210016. [PMID: 34919115 PMCID: PMC8679260 DOI: 10.1590/1678-4685-gmb-2021-0016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Accepted: 09/30/2021] [Indexed: 11/22/2022] Open
Abstract
Soybean is a key crop in many countries, being used from human food to the animal industry due to its nutritional properties. Financially, the grain chain moves large sums of money into the economy of producing countries. However, like other agricultural commodities around the world, it can have its final yield seriously compromised by abiotic environmental stressors, like drought. As flowers imply in pods and in grains inside it to minimize damages caused by water restriction, researchers have focused on understanding flowering-process related genes and their interactions. Here a review dedicated to the soybean flowering process and gene network involved in it is presented, describing gene interactions and how genes act in this complex mechanism, also ruled by environmental triggers such as day-light and circadian cycle. The objective was to gather information and insights on the soybean flowering process, aiming to provide knowledge useful to assist in the development of drought-tolerant soybean lines, minimizing losses due to delays or anticipation of flowering and, consequently, restraining financial and productivity losses.
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Affiliation(s)
- Mayla Daiane Correa Molinari
- Universidade Estadual de Londrina, Departamento de Biologia Geral, Londrina, PR, Brazil.,Embrapa Soja, Londrina, PR, Brazil
| | | | - Daniel de Amorim Barbosa
- Universidade Estadual de Londrina, Departamento de Biologia Geral, Londrina, PR, Brazil.,Embrapa Soja, Londrina, PR, Brazil
| | | | | | - Elíbio Leopoldo Rech
- Embrapa Recursos Genéticos e Biotecnologia, Instituto Nacional de Ciência e Tecnologia em Biologia Sintética, Brasília, DF, Brazil
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15
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McClung CR. Circadian Clock Components Offer Targets for Crop Domestication and Improvement. Genes (Basel) 2021; 12:genes12030374. [PMID: 33800720 PMCID: PMC7999361 DOI: 10.3390/genes12030374] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 03/01/2021] [Accepted: 03/04/2021] [Indexed: 12/31/2022] Open
Abstract
During plant domestication and improvement, farmers select for alleles present in wild species that improve performance in new selective environments associated with cultivation and use. The selected alleles become enriched and other alleles depleted in elite cultivars. One important aspect of crop improvement is expansion of the geographic area suitable for cultivation; this frequently includes growth at higher or lower latitudes, requiring the plant to adapt to novel photoperiodic environments. Many crops exhibit photoperiodic control of flowering and altered photoperiodic sensitivity is commonly required for optimal performance at novel latitudes. Alleles of a number of circadian clock genes have been selected for their effects on photoperiodic flowering in multiple crops. The circadian clock coordinates many additional aspects of plant growth, metabolism and physiology, including responses to abiotic and biotic stresses. Many of these clock-regulated processes contribute to plant performance. Examples of selection for altered clock function in tomato demonstrate that with domestication, the phasing of the clock is delayed with respect to the light–dark cycle and the period is lengthened; this modified clock is associated with increased chlorophyll content in long days. These and other data suggest the circadian clock is an attractive target during breeding for crop improvement.
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Affiliation(s)
- C Robertson McClung
- Department of Biological Sciences, Dartmouth College, Hanover, NH 03755, USA
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16
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Bu T, Lu S, Wang K, Dong L, Li S, Xie Q, Xu X, Cheng Q, Chen L, Fang C, Li H, Liu B, Weller JL, Kong F. A critical role of the soybean evening complex in the control of photoperiod sensitivity and adaptation. Proc Natl Acad Sci U S A 2021; 118:e2010241118. [PMID: 33558416 PMCID: PMC7923351 DOI: 10.1073/pnas.2010241118] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Photoperiod sensitivity is a key factor in plant adaptation and crop production. In the short-day plant soybean, adaptation to low latitude environments is provided by mutations at the J locus, which confer extended flowering phase and thereby improve yield. The identity of J as an ortholog of Arabidopsis ELF3, a component of the circadian evening complex (EC), implies that orthologs of other EC components may have similar roles. Here we show that the two soybean homeologs of LUX ARRYTHMO interact with J to form a soybean EC. Characterization of mutants reveals that these genes are highly redundant in function but together are critical for flowering under short day, where the lux1 lux2 double mutant shows extremely late flowering and a massively extended flowering phase. This phenotype exceeds that of any soybean flowering mutant reported to date, and is strongly reminiscent of the "Maryland Mammoth" tobacco mutant that featured in the seminal 1920 study of plant photoperiodism by Garner and Allard [W. W. Garner, H. A. Allard, J. Agric. Res. 18, 553-606 (1920)]. We further demonstrate that the J-LUX complex suppresses transcription of the key flowering repressor E1 and its two homologs via LUX binding sites in their promoters. These results indicate that the EC-E1 interaction has a central role in soybean photoperiod sensitivity, a phenomenon also first described by Garner and Allard. EC and E1 family genes may therefore constitute key targets for customized breeding of soybean varieties with precise flowering time adaptation, either by introgression of natural variation or generation of new mutants by gene editing.
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Affiliation(s)
- Tiantian Bu
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, 510006 Guangzhou, China
| | - Sijia Lu
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, 510006 Guangzhou, China
| | - Kai Wang
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, 510006 Guangzhou, China
| | - Lidong Dong
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, 510006 Guangzhou, China
| | - Shilin Li
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, 475004 Kaifeng, China
| | - Qiguang Xie
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, 475004 Kaifeng, China
| | - Xiaodong Xu
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, 475004 Kaifeng, China
| | - Qun Cheng
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, 510006 Guangzhou, China
| | - Liyu Chen
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, 510006 Guangzhou, China
| | - Chao Fang
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, 510006 Guangzhou, China
| | - Haiyang Li
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, 510006 Guangzhou, China
| | - Baohui Liu
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, 510006 Guangzhou, China
- The Innovative Academy of Seed Design, Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, 150081 Harbin, China
| | - James L Weller
- School of Natural Sciences, University of Tasmania, Hobart, 7001 TAS, Australia
| | - Fanjiang Kong
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, 510006 Guangzhou, China;
- The Innovative Academy of Seed Design, Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, 150081 Harbin, China
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17
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No DH, Baek D, Lee SH, Cheong MS, Chun HJ, Park MS, Cho HM, Jin BJ, Lim LH, Lee YB, Shim SI, Chung JI, Kim MC. High-Temperature Conditions Promote Soybean Flowering through the Transcriptional Reprograming of Flowering Genes in the Photoperiod Pathway. Int J Mol Sci 2021; 22:1314. [PMID: 33525667 PMCID: PMC7865498 DOI: 10.3390/ijms22031314] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 01/22/2021] [Accepted: 01/26/2021] [Indexed: 11/17/2022] Open
Abstract
Global warming has an impact on crop growth and development. Flowering time is particularly sensitive to environmental factors such as day length and temperature. In this study, we investigated the effects of global warming on flowering using an open-top Climatron chamber, which has a higher temperature and CO2 concentration than in the field. Two different soybean cultivars, Williams 82 and IT153414, which exhibited different flowering times, were promoted flowering in the open-top Climatron chamber than in the field. We more specifically examined the expression patterns of soybean flowering genes on the molecular level under high-temperature conditions. The elevated temperature induced the expression of soybean floral activators, GmFT2a and GmFT5a as well as a set of GmCOL genes. In contrast, it suppressed floral repressors, E1 and E2 homologs. Moreover, high-temperature conditions affected the expression of these flowering genes in a day length-independent manner. Taken together, our data suggest that soybean plants properly respond and adapt to changing environments by modulating the expression of a set of flowering genes in the photoperiod pathway for the successful production of seeds and offspring.
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Affiliation(s)
- Dong Hyeon No
- Division of Applied Life Science (BK21 Four), Gyeongsang National University, Jinju Daero 501, Jinju 52828, Korea; (D.H.N.); (S.H.L.); (H.M.C.); (B.J.J.); (L.H.L.); (Y.B.L.)
| | - Dongwon Baek
- Plant Molecular Biology and Biotechnology Research Center, Gyeongsang National University, Jinju Daero 501, Jinju 52828, Korea; (D.B.); (M.S.P.)
| | - Su Hyeon Lee
- Division of Applied Life Science (BK21 Four), Gyeongsang National University, Jinju Daero 501, Jinju 52828, Korea; (D.H.N.); (S.H.L.); (H.M.C.); (B.J.J.); (L.H.L.); (Y.B.L.)
| | - Mi Sun Cheong
- Institute of Agriculture & Life Science, Gyeongsang National University, Jinju Daero 501, Jinju 52828, Korea; (M.S.C.); (H.J.C.); (S.I.S.); (J.-I.C.)
| | - Hyun Jin Chun
- Institute of Agriculture & Life Science, Gyeongsang National University, Jinju Daero 501, Jinju 52828, Korea; (M.S.C.); (H.J.C.); (S.I.S.); (J.-I.C.)
| | - Mi Suk Park
- Plant Molecular Biology and Biotechnology Research Center, Gyeongsang National University, Jinju Daero 501, Jinju 52828, Korea; (D.B.); (M.S.P.)
| | - Hyun Min Cho
- Division of Applied Life Science (BK21 Four), Gyeongsang National University, Jinju Daero 501, Jinju 52828, Korea; (D.H.N.); (S.H.L.); (H.M.C.); (B.J.J.); (L.H.L.); (Y.B.L.)
| | - Byung Jun Jin
- Division of Applied Life Science (BK21 Four), Gyeongsang National University, Jinju Daero 501, Jinju 52828, Korea; (D.H.N.); (S.H.L.); (H.M.C.); (B.J.J.); (L.H.L.); (Y.B.L.)
| | - Lack Hyeon Lim
- Division of Applied Life Science (BK21 Four), Gyeongsang National University, Jinju Daero 501, Jinju 52828, Korea; (D.H.N.); (S.H.L.); (H.M.C.); (B.J.J.); (L.H.L.); (Y.B.L.)
| | - Yong Bok Lee
- Division of Applied Life Science (BK21 Four), Gyeongsang National University, Jinju Daero 501, Jinju 52828, Korea; (D.H.N.); (S.H.L.); (H.M.C.); (B.J.J.); (L.H.L.); (Y.B.L.)
- Institute of Agriculture & Life Science, Gyeongsang National University, Jinju Daero 501, Jinju 52828, Korea; (M.S.C.); (H.J.C.); (S.I.S.); (J.-I.C.)
| | - Sang In Shim
- Institute of Agriculture & Life Science, Gyeongsang National University, Jinju Daero 501, Jinju 52828, Korea; (M.S.C.); (H.J.C.); (S.I.S.); (J.-I.C.)
| | - Jong-Il Chung
- Institute of Agriculture & Life Science, Gyeongsang National University, Jinju Daero 501, Jinju 52828, Korea; (M.S.C.); (H.J.C.); (S.I.S.); (J.-I.C.)
| | - Min Chul Kim
- Division of Applied Life Science (BK21 Four), Gyeongsang National University, Jinju Daero 501, Jinju 52828, Korea; (D.H.N.); (S.H.L.); (H.M.C.); (B.J.J.); (L.H.L.); (Y.B.L.)
- Plant Molecular Biology and Biotechnology Research Center, Gyeongsang National University, Jinju Daero 501, Jinju 52828, Korea; (D.B.); (M.S.P.)
- Institute of Agriculture & Life Science, Gyeongsang National University, Jinju Daero 501, Jinju 52828, Korea; (M.S.C.); (H.J.C.); (S.I.S.); (J.-I.C.)
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18
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Zhang J, Xu M, Dwiyanti MS, Watanabe S, Yamada T, Hase Y, Kanazawa A, Sayama T, Ishimoto M, Liu B, Abe J. A Soybean Deletion Mutant That Moderates the Repression of Flowering by Cool Temperatures. FRONTIERS IN PLANT SCIENCE 2020; 11:429. [PMID: 32351532 PMCID: PMC7175460 DOI: 10.3389/fpls.2020.00429] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 03/24/2020] [Indexed: 05/13/2023]
Abstract
Ambient growing temperature and photoperiod are major environmental stimuli that summer annual crops use to adjust their reproductive phenology so as to maximize yield. Variation in flowering time among soybean (Glycine max) cultivars results mainly from allelic diversity at loci that control photoperiod sensitivity and FLOWERING LOCUS T (FT) orthologs. However, variation in the thermal regulation of flowering and its underlying mechanisms are poorly understood. In this study, we identified a novel mutant (ef1) that confers altered thermal regulation of flowering in response to cool ambient temperatures. Mapping analysis with simple sequence repeat (SSR) markers located the mutation in the upper part of chromosome 19, where no QTL for flowering has been previously reported. Fine-mapping and re-sequencing revealed that the mutation was caused by deletion of a 214 kbp genomic region that contains 11 annotated genes, including CONSTANS-LIKE 2b (COL2b), a soybean ortholog of Arabidopsis CONSTANS. Comparison of flowering times under different photo-thermal conditions revealed that early flowering in the mutant lines was most distinct under cool ambient temperatures. The expression of two FT orthologs, FT2a and FT5a, was dramatically downregulated by cool temperature, but the magnitude of the downregulation was lower in the mutant lines. Cool temperatures upregulated COL2b expression or delayed peak expression, particularly at the fourth trifoliate-leaf stage. Intriguingly, they also upregulated E1, a soybean-specific repressor of FT orthologs. Our results suggest that the ef1 mutation is involved in thermal regulation of flowering in response to cool ambient temperature, and the lack of COL2b in the mutant likely alleviates the repression of flowering by cool temperature. The ef1 mutant can be used as a novel gene resource in breeding soybean cultivars adapted to cool climate and in research to improve our understanding of thermal regulation of flowering in soybean.
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Affiliation(s)
- Jingyu Zhang
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Japan
| | - Meilan Xu
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Japan
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
| | | | | | - Tetsuya Yamada
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Japan
| | - Yoshihiro Hase
- Takasaki Advanced Radiation Research Institute, National Institutes for Quantum and Radiological Science and Technology, Takasaki, Japan
| | - Akira Kanazawa
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Japan
| | - Takashi Sayama
- Western Region Agricultural Research Center, National Agriculture and Food Research Organization, Zentuji, Japan
- Institute of Crop Science, National Agriculture and Food Research Organization, Tsukuba, Japan
| | - Masao Ishimoto
- Institute of Crop Science, National Agriculture and Food Research Organization, Tsukuba, Japan
| | - Baohui Liu
- School of Life Sciences, Guangzhou University, Guangzhou, China
| | - Jun Abe
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Japan
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19
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Lu S, Dong L, Fang C, Liu S, Kong L, Cheng Q, Chen L, Su T, Nan H, Zhang D, Zhang L, Wang Z, Yang Y, Yu D, Liu X, Yang Q, Lin X, Tang Y, Zhao X, Yang X, Tian C, Xie Q, Li X, Yuan X, Tian Z, Liu B, Weller JL, Kong F. Stepwise selection on homeologous PRR genes controlling flowering and maturity during soybean domestication. Nat Genet 2020; 52:428-436. [PMID: 32231277 DOI: 10.1038/s41588-020-0604-7] [Citation(s) in RCA: 216] [Impact Index Per Article: 43.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Accepted: 02/27/2020] [Indexed: 01/01/2023]
Abstract
Adaptive changes in plant phenology are often considered to be a feature of the so-called 'domestication syndrome' that distinguishes modern crops from their wild progenitors, but little detailed evidence supports this idea. In soybean, a major legume crop, flowering time variation is well characterized within domesticated germplasm and is critical for modern production, but its importance during domestication is unclear. Here, we identify sequential contributions of two homeologous pseudo-response-regulator genes, Tof12 and Tof11, to ancient flowering time adaptation, and demonstrate that they act via LHY homologs to promote expression of the legume-specific E1 gene and delay flowering under long photoperiods. We show that Tof12-dependent acceleration of maturity accompanied a reduction in dormancy and seed dispersal during soybean domestication, possibly predisposing the incipient crop to latitudinal expansion. Better understanding of this early phase of crop evolution will help to identify functional variation lost during domestication and exploit its potential for future crop improvement.
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Affiliation(s)
- Sijia Lu
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China
- The Innovative Academy of Seed Design, Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
| | - Lidong Dong
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China
| | - Chao Fang
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China
| | - Shulin Liu
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Lingping Kong
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China
| | - Qun Cheng
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China
| | - Liyu Chen
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China
| | - Tong Su
- The Innovative Academy of Seed Design, Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Haiyang Nan
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China
| | - Dan Zhang
- Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou, China
| | - Lei Zhang
- Anhui Academy of Agricultural Sciences, Hefei, China
| | - Zhijuan Wang
- State Key Laboratory of Agricultural Microbiology, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Yongqing Yang
- Root Biology Center, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Deyue Yu
- National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Xiaolei Liu
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education & College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Qingyong Yang
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, China
| | - Xiaoya Lin
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China
| | - Yang Tang
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China
| | - Xiaohui Zhao
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China
| | - Xinquan Yang
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China
| | - Changen Tian
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China
| | - Qiguang Xie
- Key Laboratory of Plant Stress Biology, School of Life Sciences, Henan University, Kaifeng, China
| | - Xia Li
- State Key Laboratory of Agricultural Microbiology, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Xiaohui Yuan
- School of Computer Science and Technology, Wuhan University of Technology, Wuhan, China.
| | - Zhixi Tian
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China.
- University of Chinese Academy of Sciences, Beijing, China.
| | - Baohui Liu
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China.
- The Innovative Academy of Seed Design, Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China.
| | - James L Weller
- School of Natural Sciences, University of Tasmania, Hobart, Tasmania, Australia.
| | - Fanjiang Kong
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China.
- The Innovative Academy of Seed Design, Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China.
- University of Chinese Academy of Sciences, Beijing, China.
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20
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González AM, Yuste-Lisbona FJ, Weller J, Vander Schoor JK, Lozano R, Santalla M. Characterization of QTL and Environmental Interactions Controlling Flowering Time in Andean Common Bean ( Phaseolus vulgaris L.). FRONTIERS IN PLANT SCIENCE 2020; 11:599462. [PMID: 33519852 PMCID: PMC7840541 DOI: 10.3389/fpls.2020.599462] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Accepted: 12/18/2020] [Indexed: 05/05/2023]
Abstract
Genetic variation for response of flowering time to photoperiod plays an important role in adaptation to environments with different photoperiods, and as consequence is an important contributor to plant productivity and yield. To elucidate the genetic control of flowering time [days to flowering (DTF); growing degree days (GDD)] in common bean, a facultative short-day plant, a quantitative trait loci (QTL) analysis was performed in a recombinant inbred mapping population derived from a cultivated accession and a photoperiod sensitive landrace, grown in different long-day (LD) and short-day (SD) environments by using a multiple-environment QTL model approach. A total of 37 QTL across 17 chromosome regions and 36 QTL-by-QTL interactions were identified for six traits associated with time to flowering and response to photoperiod. The DTF QTL accounted for 28 and 11% on average of the phenotypic variation in the population across LD and SD environments, respectively. Of these, a genomic region on chromosome 4 harboring the major DTF QTL was associated with both flowering time in LD and photoperiod response traits, controlling more than 60% of phenotypic variance, whereas a major QTL on chromosome 9 explained up to 32% of flowering time phenotypic variation in SD. Different epistatic interactions were found in LD and SD environments, and the presence of significant QTL × environment (QE) and epistasis × environment interactions implies that flowering time control may rely on different genes and genetic pathways under inductive and non-inductive conditions. Here, we report the identification of a novel major locus controlling photoperiod sensitivity on chromosome 4, which might interact with other loci for controlling common bean flowering time and photoperiod response. Our results have also demonstrated the importance of these interactions for flowering time control in common bean, and point to the likely complexity of flowering time pathways. This knowledge will help to identify and develop opportunities for adaptation and breeding of this legume crop.
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Affiliation(s)
- Ana M. González
- Grupo de Genética del Desarrollo de Plantas, Misión Biológica de Galicia-CSIC, Pontevedra, Spain
| | - Fernando J. Yuste-Lisbona
- Departamento de Biología y Geología (Genética), Centro de Investigación en Biotecnología Agroalimentaria (BITAL), Universidad de Almería, Almería, Spain
| | - Jim Weller
- School of Natural Sciences, University of Tasmania, Hobart, TAS, Australia
| | | | - Rafael Lozano
- Departamento de Biología y Geología (Genética), Centro de Investigación en Biotecnología Agroalimentaria (BITAL), Universidad de Almería, Almería, Spain
| | - Marta Santalla
- Grupo de Genética del Desarrollo de Plantas, Misión Biológica de Galicia-CSIC, Pontevedra, Spain
- *Correspondence: Marta Santalla,
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21
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Sun F, Xu M, Park C, Dwiyanti MS, Nagano AJ, Zhu J, Watanabe S, Kong F, Liu B, Yamada T, Abe J. Characterization and quantitative trait locus mapping of late-flowering from a Thai soybean cultivar introduced into a photoperiod-insensitive genetic background. PLoS One 2019; 14:e0226116. [PMID: 31805143 PMCID: PMC6894811 DOI: 10.1371/journal.pone.0226116] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Accepted: 11/19/2019] [Indexed: 11/18/2022] Open
Abstract
The timing of both flowering and maturation determine crop adaptability and productivity. Soybean (Glycine max) is cultivated across a wide range of latitudes. The molecular-genetic mechanisms for flowering in soybean have been determined for photoperiodic responses to long days (LDs), but remain only partially determined for the delay of flowering under short-day conditions, an adaptive trait of cultivars grown in lower latitudes. Here, we characterized the late-flowering (LF) habit introduced from the Thai cultivar K3 into a photoperiod-insensitive genetic background under different photo-thermal conditions, and we analyzed the genetic basis using quantitative trait locus (QTL) mapping. The LF habit resulted from a basic difference in the floral induction activity and from the suppression of flowering, which was caused by red light-enriched LD lengths and higher temperatures, during which FLOWERING LOCUS T (FT) orthologs, FT2a and FT5a, were strongly down-regulated. QTL mapping using gene-specific markers for flowering genes E2, FT2a and FT5a and 829 single nucleotide polymorphisms obtained from restriction-site associated DNA sequencing detected three QTLs controlling the LF habit. Of these, a QTL harboring FT2a exhibited large and stable effects under all the conditions tested. A resequencing analysis detected a nonsynonymous substitution in exon 4 of FT2a from K3, which converted the glycine conserved in FT-like proteins to the aspartic acid conserved in TERMINAL FLOWER 1-like proteins (floral repressors), suggesting a functional depression in the FT2a protein from K3. The effects of the remaining two QTLs, likely corresponding to E2 and FT5a, were environment dependent. Thus, the LF habit from K3 may be caused by the functional depression of FT2a and the down-regulation of two FT genes by red light-enriched LD conditions and high temperatures.
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Affiliation(s)
- Fei Sun
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Hokkaido, Japan
| | - Meilan Xu
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Hokkaido, Japan
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
| | - Cheolwoo Park
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Hokkaido, Japan
| | | | | | - Jianghui Zhu
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Hokkaido, Japan
| | | | - Fanjiang Kong
- School of Life Sciences, Guangzhou University, Guangzhou, China
| | - Baohui Liu
- School of Life Sciences, Guangzhou University, Guangzhou, China
| | - Tetsuya Yamada
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Hokkaido, Japan
| | - Jun Abe
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Hokkaido, Japan
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22
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Kang YJ, Lee BM, Nam M, Oh KW, Lee MH, Kim TH, Jo SH, Lee JH. Identification of quantitative trait loci associated with flowering time in perilla using genotyping-by-sequencing. Mol Biol Rep 2019; 46:4397-4407. [PMID: 31152338 DOI: 10.1007/s11033-019-04894-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Accepted: 05/22/2019] [Indexed: 12/11/2022]
Abstract
Understanding the transition to the reproductive period is important for crop breeding. This information can facilitate the production of novel varieties that are better adapted to local environments or changing climatic conditions. Here, we report the development of a high-density linkage map based on genotyping-by-sequencing (GBS) for the genus perilla. Through GBS library construction and Illumina sequencing of an F2 population, a total of 9607 single-nucleotide polymorphism (SNP) markers were developed. The ten-group linkage map of 1309.39 cM contained 2518 markers, with an average marker density of 0.56 cM per linkage group (LG). Using this map, a total of six QTLs were identified. These quantitative trait loci (QTLs) are associated with three traits related to flowering time: days to visible flower bud, days to flowering, and days to maturity. Ortholog analysis conducted with known genes involved in the regulation of flowering time among different crop species identified GI, CO and ELF4 as putative perilla orthologs that are closely linked to the QTL regions associated with flowering time. These results provide a foundation that will be useful for future studies of flowering time in perilla using fine mapping, and marker-assisted selection for the development of new varieties of perilla.
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Affiliation(s)
| | - Bo-Mi Lee
- SEEDERS Inc., Daejeon, 34912, Republic of Korea
| | - Moon Nam
- SEEDERS Inc., Daejeon, 34912, Republic of Korea
| | - Ki-Won Oh
- National Institute of Crop Science, RDA, Miryang, 50424, Republic of Korea
| | - Myoung-Hee Lee
- National Institute of Crop Science, RDA, Miryang, 50424, Republic of Korea
| | - Tae-Ho Kim
- National Academy of Agricultural Science, RDA, Wanju, 55365, Republic of Korea
| | - Sung-Hwan Jo
- SEEDERS Inc., Daejeon, 34912, Republic of Korea.
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23
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Ogiso-Tanaka E, Shimizu T, Hajika M, Kaga A, Ishimoto M. Highly multiplexed AmpliSeq technology identifies novel variation of flowering time-related genes in soybean (Glycine max). DNA Res 2019; 26:243-260. [PMID: 31231761 PMCID: PMC6589554 DOI: 10.1093/dnares/dsz005] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Accepted: 03/11/2019] [Indexed: 02/02/2023] Open
Abstract
Whole-genome re-sequencing is a powerful approach to detect gene variants, but it is expensive to analyse only the target genes. To circumvent this problem, we attempted to detect novel variants of flowering time-related genes and their homologues in soybean mini-core collection by target re-sequencing using AmpliSeq technology. The average depth of 382 amplicons targeting 29 genes was 1,237 with 99.85% of the sequence data mapped to the reference genome. Totally, 461 variants were detected, of which 150 sites were novel and not registered in dbSNP. Known and novel variants were detected in the classical maturity loci-E1, E2, E3, and E4. Additionally, large indel alleles, E1-nl and E3-tr, were successfully identified. Novel loss-of-function and missense variants were found in FT2a, MADS-box, WDR61, phytochromes, and two-component response regulators. The multiple regression analysis showed that four genes-E2, E3, Dt1, and two-component response regulator-can explain 51.1-52.3% of the variation in flowering time of the mini-core collection. Among them, the two-component response regulator with a premature stop codon is a novel gene that has not been reported as a soybean flowering time-related gene. These data suggest that the AmpliSeq technology is a powerful tool to identify novel alleles.
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Affiliation(s)
- Eri Ogiso-Tanaka
- Institute of Crop Science (NICS), NARO (National Agriculture and Food Research Organization), 2-1-2 Kannondai, Tsukuba, Ibaraki, Japan
| | - Takehiko Shimizu
- Institute of Crop Science (NICS), NARO (National Agriculture and Food Research Organization), 2-1-2 Kannondai, Tsukuba, Ibaraki, Japan
| | - Makita Hajika
- Institute of Crop Science (NICS), NARO (National Agriculture and Food Research Organization), 2-1-2 Kannondai, Tsukuba, Ibaraki, Japan
| | - Akito Kaga
- Institute of Crop Science (NICS), NARO (National Agriculture and Food Research Organization), 2-1-2 Kannondai, Tsukuba, Ibaraki, Japan
| | - Masao Ishimoto
- Institute of Crop Science (NICS), NARO (National Agriculture and Food Research Organization), 2-1-2 Kannondai, Tsukuba, Ibaraki, Japan
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24
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Wu F, Kang X, Wang M, Haider W, Price WB, Hajek B, Hanzawa Y. Transcriptome-Enabled Network Inference Revealed the GmCOL1 Feed-Forward Loop and Its Roles in Photoperiodic Flowering of Soybean. FRONTIERS IN PLANT SCIENCE 2019; 10:1221. [PMID: 31787988 PMCID: PMC6856076 DOI: 10.3389/fpls.2019.01221] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Accepted: 09/04/2019] [Indexed: 05/13/2023]
Abstract
Photoperiodic flowering, a plant response to seasonal photoperiod changes in the control of reproductive transition, is an important agronomic trait that has been a central target of crop domestication and modern breeding programs. However, our understanding about the molecular mechanisms of photoperiodic flowering regulation in crop species is lagging behind. To better understand the regulatory gene networks controlling photoperiodic flowering of soybeans, we elucidated global gene expression patterns under different photoperiod regimes using the near isogenic lines (NILs) of maturity loci (E loci). Transcriptome signatures identified the unique roles of the E loci in photoperiodic flowering and a set of genes controlled by these loci. To elucidate the regulatory gene networks underlying photoperiodic flowering regulation, we developed the network inference algorithmic package CausNet that integrates sparse linear regression and Granger causality heuristics, with Gaussian approximation of bootstrapping to provide reliability scores for predicted regulatory interactions. Using the transcriptome data, CausNet inferred regulatory interactions among soybean flowering genes. Published reports in the literature provided empirical verification for several of CausNet's inferred regulatory interactions. We further confirmed the inferred regulatory roles of the flowering suppressors GmCOL1a and GmCOL1b using GmCOL1 RNAi transgenic soybean plants. Combinations of the alleles of GmCOL1 and the major maturity locus E1 demonstrated positive interaction between these genes, leading to enhanced suppression of flowering transition. Our work provides novel insights and testable hypotheses in the complex molecular mechanisms of photoperiodic flowering control in soybean and lays a framework for de novo prediction of biological networks controlling important agronomic traits in crops.
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Affiliation(s)
- Faqiang Wu
- Department of Biology, California State University, Northridge, CA, United States
| | - Xiaohan Kang
- Department of Electrical Computer Engineering, University of Illinois at Urbana-Champaign, Champaign, IL, United States
| | - Minglei Wang
- Department of Crop Sciences, University of Illinois at Urbana-Champaign, Champaign, IL, United States
| | - Waseem Haider
- Department of Biosciences, COMSATS University Islamabad, Pakistan
| | - William B. Price
- Department of Electrical Computer Engineering, University of Illinois at Urbana-Champaign, Champaign, IL, United States
| | - Bruce Hajek
- Department of Crop Sciences, University of Illinois at Urbana-Champaign, Champaign, IL, United States
| | - Yoshie Hanzawa
- Department of Biology, California State University, Northridge, CA, United States
- *Correspondence: Yoshie Hanzawa,
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25
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Kong L, Lu S, Wang Y, Fang C, Wang F, Nan H, Su T, Li S, Zhang F, Li X, Zhao X, Yuan X, Liu B, Kong F. Quantitative Trait Locus Mapping of Flowering Time and Maturity in Soybean Using Next-Generation Sequencing-Based Analysis. FRONTIERS IN PLANT SCIENCE 2018; 9:995. [PMID: 30050550 PMCID: PMC6050445 DOI: 10.3389/fpls.2018.00995] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Accepted: 06/19/2018] [Indexed: 05/23/2023]
Abstract
Soybean (Glycine max L.) is a major legume crop that is mainly distributed in temperate regions. The adaptability of soybean to grow at relatively high latitudes is attributed to natural variations in major genes and quantitative trait loci (QTLs) that control flowering time and maturity. Identification of new QTLs and map-based cloning of candidate genes are the fundamental approaches in elucidating the mechanism underlying soybean flowering and adaptation. To identify novel QTLs/genes, we developed two F8:10 recombinant inbred lines (RILs) and evaluated the traits of time to flowering (R1), maturity (R8), and reproductive period (RP) in the field. To rapidly and efficiently identify QTLs that control these traits, next-generation sequencing (NGS)-based QTL analysis was performed. This study demonstrates that only one major QTL on chromosome 4 simultaneously controls R1, R8, and RP traits in the Dongnong 50 × Williams 82 (DW) RIL population. Furthermore, three QTLs were mapped to chromosomes 6, 11, and 16 in the Suinong 14 × Enrei (SE) RIL population. Two major pleiotropic QTLs on chromosomes 4 and 6 were shown to affect flowering time, maturity, and RP. A QTL influencing RP was identified on chromosome 11, and QTL on chromosome 16 was associated with time to flowering responses. All these QTLs contributed to soybean maturation. The QTLs identified in this study may be utilized in fine mapping and map-based cloning of candidate genes to elucidate the mechanisms underlying flowering and soybean adaptation to different latitudes and to breed novel soybean cultivars with optimal yield-related traits.
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Affiliation(s)
- Lingping Kong
- School of Life Sciences, Guangzhou University, Guangzhou, China
- The Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
| | - Sijia Lu
- School of Life Sciences, Guangzhou University, Guangzhou, China
| | - Yanping Wang
- Mudanjiang Branch of Heilongjiang Academy of Agricultural Sciences, Mudanjiang, China
| | - Chao Fang
- The Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Feifei Wang
- The Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
| | - Haiyang Nan
- School of Life Sciences, Guangzhou University, Guangzhou, China
| | - Tong Su
- The Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Shichen Li
- The Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Fengge Zhang
- The Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xiaoming Li
- The Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
| | - Xiaohui Zhao
- School of Life Sciences, Guangzhou University, Guangzhou, China
| | - Xiaohui Yuan
- The Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
| | - Baohui Liu
- School of Life Sciences, Guangzhou University, Guangzhou, China
- The Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
| | - Fanjiang Kong
- School of Life Sciences, Guangzhou University, Guangzhou, China
- The Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
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26
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Zhu J, Takeshima R, Harigai K, Xu M, Kong F, Liu B, Kanazawa A, Yamada T, Abe J. Loss of Function of the E1- Like-b Gene Associates With Early Flowering Under Long-Day Conditions in Soybean. FRONTIERS IN PLANT SCIENCE 2018; 9:1867. [PMID: 30671065 PMCID: PMC6331540 DOI: 10.3389/fpls.2018.01867] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Accepted: 12/04/2018] [Indexed: 05/13/2023]
Abstract
Photoperiod response of flowering determines plant adaptation to different latitudes. Soybean, a short-day plant, has gained the ability to flower under long-day conditions during the growing season at higher latitudes, mainly through dysfunction of phytochrome A genes (E3 and E4) and the floral repressor E1. In this study, we identified a novel molecular genetic basis of photoperiod insensitivity in Far-Eastern Russian soybean cultivars. By testcrossing these cultivars with a Canadian cultivar Harosoy near-isogenic line for a recessive e3 allele, followed by association tests and fine mapping, we determined that the insensitivity was inherited as a single recessive gene located in an 842-kb interval in the pericentromeric region of chromosome 4, where E1-Like b (E1Lb), a homoeolog of E1, is located. Sequencing analysis detected a single-nucleotide deletion in the coding sequence of the gene in insensitive cultivars, which generated a premature stop codon. Near-isogenic lines (NILs) for the loss-of-function allele (designated e1lb) exhibited upregulated expression of soybean FLOWERING LOCUS T (FT) orthologs, FT2a and FT5a, and flowered earlier than those for E1Lb under long-day conditions in both the e3/E4 and E3/E4 genetic backgrounds. These NILs further lacked the inhibitory effect on flowering by far-red light-enriched long-day conditions, which is mediated by E4, but not that of red-light-enriched long-day conditions, which is mediated by E3. These findings suggest that E1Lb retards flowering under long-day conditions by repressing the expression of FT2a and FT5a independently of E1. This loss-of-function allele can be used as a new resource in breeding of photoperiod-insensitive cultivars, and may improve our understanding of the function of the E1 family genes in the photoperiod responses of flowering in soybean.
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Affiliation(s)
- Jianghui Zhu
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Japan
| | - Ryoma Takeshima
- Institute of Crop Science, National Agriculture and Food Research Organization, Tsukuba, Japan
| | - Kohei Harigai
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Japan
| | - Meilan Xu
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Japan
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
| | - Fanjiang Kong
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
- School of Life Sciences, Guangzhou University, Guangzhou, China
| | - Baohui Liu
- School of Life Sciences, Guangzhou University, Guangzhou, China
- *Correspondence: Baohui Liu, Jun Abe,
| | - Akira Kanazawa
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Japan
| | - Tetsuya Yamada
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Japan
| | - Jun Abe
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Japan
- *Correspondence: Baohui Liu, Jun Abe,
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27
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Bandillo NB, Anderson JE, Kantar MB, Stupar RM, Specht JE, Graef GL, Lorenz AJ. Dissecting the Genetic Basis of Local Adaptation in Soybean. Sci Rep 2017; 7:17195. [PMID: 29222468 PMCID: PMC5722827 DOI: 10.1038/s41598-017-17342-w] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2017] [Accepted: 11/22/2017] [Indexed: 12/24/2022] Open
Abstract
Soybean (Glycine max) is the most widely grown oilseed in the world and is an important source of protein for both humans and livestock. Soybean is widely adapted to both temperate and tropical regions, but a changing climate demands a better understanding of adaptation to specific environmental conditions. Here, we explore genetic variation in a collection of 3,012 georeferenced, locally adapted landraces from a broad geographical range to help elucidate the genetic basis of local adaptation. We used geographic origin, environmental data and dense genome-wide SNP data to perform an environmental association analysis and discover loci displaying steep gradients in allele frequency across geographical distance and between landrace and modern cultivars. Our combined application of methods in environmental association mapping and detection of selection targets provide a better understanding of how geography and selection may have shaped genetic variation among soybean landraces. Moreover, we identified several important candidate genes related to drought and heat stress, and revealed important genomic regions possibly involved in the geographic divergence of soybean.
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Affiliation(s)
- Nonoy B Bandillo
- Department of Agronomy & Horticulture, University of Nebraska-Lincoln, Keim Hall, Lincoln, NE, 68583-0915, USA
| | - Justin E Anderson
- Department of Molecular Genetics and Physiology of Plants, Ruhr University Bochum, Universitätsstraße 150, 40211, Bochum, Germany
| | - Michael B Kantar
- Department of Tropical Plant and Soil Sciences, University of Hawaii, Manoa, Honolulu, HI, 96822, USA
| | - Robert M Stupar
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN, 55108-6026, USA
| | - James E Specht
- Department of Agronomy & Horticulture, University of Nebraska-Lincoln, Keim Hall, Lincoln, NE, 68583-0915, USA
| | - George L Graef
- Department of Agronomy & Horticulture, University of Nebraska-Lincoln, Keim Hall, Lincoln, NE, 68583-0915, USA
| | - Aaron J Lorenz
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN, 55108-6026, USA.
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28
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Li Y, Yang K, Yang W, Chu L, Chen C, Zhao B, Li Y, Jian J, Yin Z, Wang T, Wan P. Identification of QTL and Qualitative Trait Loci for Agronomic Traits Using SNP Markers in the Adzuki Bean. FRONTIERS IN PLANT SCIENCE 2017; 8:840. [PMID: 28580006 PMCID: PMC5437206 DOI: 10.3389/fpls.2017.00840] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2016] [Accepted: 05/04/2017] [Indexed: 05/27/2023]
Abstract
The adzuki bean (Vigna angularis) is an important grain legume. Fine mapping of quantitative trait loci (QTL) and qualitative trait genes plays an important role in gene cloning, molecular-marker-assisted selection (MAS), and trait improvement. However, the genetic control of agronomic traits in the adzuki bean remains poorly understood. Single-nucleotide polymorphisms (SNPs) are invaluable in the construction of high-density genetic maps. We mapped 26 agronomic QTLs and five qualitative trait genes related to pigmentation using 1,571 polymorphic SNP markers from the adzuki bean genome via restriction-site-associated DNA sequencing of 150 members of an F2 population derived from a cross between cultivated and wild adzuki beans. We mapped 11 QTLs for flowering time and pod maturity on chromosomes 4, 7, and 10. Six 100-seed weight (SD100WT) QTLs were detected. Two major flowering time QTLs were located on chromosome 4, firstly VaFld4.1 (PEVs 71.3%), co-segregating with SNP marker s690-144110, and VaFld4.2 (PEVs 67.6%) at a 0.974 cM genetic distance from the SNP marker s165-116310. Three QTLs for seed number per pod (Snp3.1, Snp3.2, and Snp4.1) were mapped on chromosomes 3 and 4. One QTL VaSdt4.1 of seed thickness (SDT) and three QTLs for branch number on the main stem were detected on chromosome 4. QTLs for maximum leaf width (LFMW) and stem internode length were mapped to chromosomes 2 and 9, respectively. Trait genes controlling the color of the seed coat, pod, stem and flower were mapped to chromosomes 3 and 1. Three candidate genes, VaAGL, VaPhyE, and VaAP2, were identified for flowering time and pod maturity. VaAGL encodes an agamous-like MADS-box protein of 379 amino acids. VaPhyE encodes a phytochrome E protein of 1,121 amino acids. Four phytochrome genes (VaPhyA1, VaPhyA2, VaPhyB, and VaPhyE) were identified in the adzuki bean genome. We found candidate genes VaAP2/ERF.81 and VaAP2/ERF.82 of SD100WT, VaAP2-s4 of SDT, and VaAP2/ERF.86 of LFMW. A candidate gene VaUGT related to black seed coat color was identified. These mapped QTL and qualitative trait genes provide information helpful for future adzuki bean candidate gene cloning and MAS breeding to improve cultivars with desirable growth periods, yields, and seed coat color types.
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Affiliation(s)
- Yuan Li
- Key Laboratory of New Technology in Agricultural Application, College of Plant Science and Technology, Beijing University of AgricultureBeijing, China
| | - Kai Yang
- Key Laboratory of New Technology in Agricultural Application, College of Plant Science and Technology, Beijing University of AgricultureBeijing, China
| | - Wei Yang
- Beijing Genomics Institute-ShenzhenShenzhen, China
| | - Liwei Chu
- Key Laboratory of New Technology in Agricultural Application, College of Plant Science and Technology, Beijing University of AgricultureBeijing, China
| | - Chunhai Chen
- Beijing Genomics Institute-ShenzhenShenzhen, China
| | - Bo Zhao
- Key Laboratory of New Technology in Agricultural Application, College of Plant Science and Technology, Beijing University of AgricultureBeijing, China
| | - Yisong Li
- Key Laboratory of New Technology in Agricultural Application, College of Plant Science and Technology, Beijing University of AgricultureBeijing, China
| | - Jianbo Jian
- Beijing Genomics Institute-ShenzhenShenzhen, China
| | - Zhichao Yin
- College of Plant Science, Jilin UniversityChangchun, China
| | - Tianqi Wang
- Key Laboratory of New Technology in Agricultural Application, College of Plant Science and Technology, Beijing University of AgricultureBeijing, China
| | - Ping Wan
- Key Laboratory of New Technology in Agricultural Application, College of Plant Science and Technology, Beijing University of AgricultureBeijing, China
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29
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Lu S, Zhao X, Hu Y, Liu S, Nan H, Li X, Fang C, Cao D, Shi X, Kong L, Su T, Zhang F, Li S, Wang Z, Yuan X, Cober ER, Weller JL, Liu B, Hou X, Tian Z, Kong F. Natural variation at the soybean J locus improves adaptation to the tropics and enhances yield. Nat Genet 2017; 49:773-779. [PMID: 28319089 DOI: 10.1038/ng.3819] [Citation(s) in RCA: 245] [Impact Index Per Article: 30.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2016] [Accepted: 02/24/2017] [Indexed: 12/11/2022]
Abstract
Soybean is a major legume crop originating in temperate regions, and photoperiod responsiveness is a key factor in its latitudinal adaptation. Varieties from temperate regions introduced to lower latitudes mature early and have extremely low grain yields. Introduction of the long-juvenile (LJ) trait extends the vegetative phase and improves yield under short-day conditions, thereby enabling expansion of cultivation in tropical regions. Here we report the cloning and characterization of J, the major classical locus conferring the LJ trait, and identify J as the ortholog of Arabidopsis thaliana EARLY FLOWERING 3 (ELF3). J depends genetically on the legume-specific flowering repressor E1, and J protein physically associates with the E1 promoter to downregulate its transcription, relieving repression of two important FLOWERING LOCUS T (FT) genes and promoting flowering under short days. Our findings identify an important new component in flowering-time control in soybean and provide new insight into soybean adaptation to tropical regions.
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Affiliation(s)
- Sijia Lu
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
- School of Life Sciences, Guangzhou University, Guangzhou, China
| | - Xiaohui Zhao
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
- School of Life Sciences, Guangzhou University, Guangzhou, China
| | - Yilong Hu
- Key Laboratory of South China Agricultural Plant Molecular Analysis and Genetic Improvement, and Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China
- University of the Chinese Academy of Sciences, Beijing, China
| | - Shulin Liu
- University of the Chinese Academy of Sciences, Beijing, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Haiyang Nan
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
| | - Xiaoming Li
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
- University of the Chinese Academy of Sciences, Beijing, China
| | - Chao Fang
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
- University of the Chinese Academy of Sciences, Beijing, China
| | - Dong Cao
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
- School of Life Sciences, Guangzhou University, Guangzhou, China
| | - Xinyi Shi
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
| | - Lingping Kong
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
- University of the Chinese Academy of Sciences, Beijing, China
| | - Tong Su
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
- University of the Chinese Academy of Sciences, Beijing, China
| | - Fengge Zhang
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
- University of the Chinese Academy of Sciences, Beijing, China
| | - Shichen Li
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
- University of the Chinese Academy of Sciences, Beijing, China
| | - Zheng Wang
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Xiaohui Yuan
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
| | - Elroy R Cober
- Eastern Cereal and Oilseed Research Centre, Agriculture and Agri-Food Canada, Central Experimental Farm, Ottawa, Ontario, Canada
| | - James L Weller
- School of Plant Science, University of Tasmania, Hobart, Tasmania, Australia
| | - Baohui Liu
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
- School of Life Sciences, Guangzhou University, Guangzhou, China
| | - Xingliang Hou
- Key Laboratory of South China Agricultural Plant Molecular Analysis and Genetic Improvement, and Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China
| | - Zhixi Tian
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Fanjiang Kong
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
- School of Life Sciences, Guangzhou University, Guangzhou, China
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