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Ye Q, Zhou C, Lin H, Luo D, Jain D, Chai M, Lu Z, Liu Z, Roy S, Dong J, Wang ZY, Wang T. Medicago2035: Genomes, functional genomics, and molecular breeding. MOLECULAR PLANT 2025; 18:219-244. [PMID: 39741417 DOI: 10.1016/j.molp.2024.12.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2024] [Revised: 12/22/2024] [Accepted: 12/27/2024] [Indexed: 01/03/2025]
Abstract
Medicago, a genus in the Leguminosae or Fabaceae family, includes the most globally significant forage crops, notably alfalfa (Medicago sativa). Its close diploid relative Medicago truncatula serves as an exemplary model plant for investigating legume growth and development, as well as symbiosis with rhizobia. Over the past decade, advances in Medicago genomics have significantly deepened our understanding of the molecular regulatory mechanisms that underlie various traits. In this review, we comprehensively summarize research progress on Medicago genomics, growth and development (including compound leaf development, shoot branching, flowering time regulation, inflorescence development, floral organ development, and seed dormancy), resistance to abiotic and biotic stresses, and symbiotic nitrogen fixation with rhizobia, as well as molecular breeding. We propose avenues for molecular biology research on Medicago in the coming decade, highlighting those areas that have yet to be investigated or that remain ambiguous.
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Affiliation(s)
- Qinyi Ye
- College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Chuanen Zhou
- The Key Laboratory of Plant Development and Environmental Adaptation Biology, Ministry of Education, Shandong Key Laboratory of Precision Molecular Crop Design and Breeding, School of Life Sciences, Shandong University, Qingdao 266237, China.
| | - Hao Lin
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
| | - Dong Luo
- College of Animal Science and Technology, Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, Guangxi Grass Station, Guangxi University, Nanning 530004, China
| | - Divya Jain
- College of Agriculture, Tennessee State University, Nashville, TN 37209, USA
| | - Maofeng Chai
- Shandong Key Laboratory for Germplasm Innovation of Saline-Alkaline Tolerant Grasses and Trees, Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, College of Grassland Science, Qingdao Agricultural University, Qingdao 266109, China
| | - Zhichao Lu
- The Key Laboratory of Plant Development and Environmental Adaptation Biology, Ministry of Education, Shandong Key Laboratory of Precision Molecular Crop Design and Breeding, School of Life Sciences, Shandong University, Qingdao 266237, China
| | - Zhipeng Liu
- College of Pastoral Agriculture Science and Technology, State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Lanzhou University, Lanzhou 730020, China.
| | - Sonali Roy
- College of Agriculture, Tennessee State University, Nashville, TN 37209, USA.
| | - Jiangli Dong
- College of Biological Sciences, China Agricultural University, Beijing 100193, China.
| | - Zeng-Yu Wang
- Shandong Key Laboratory for Germplasm Innovation of Saline-Alkaline Tolerant Grasses and Trees, Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, College of Grassland Science, Qingdao Agricultural University, Qingdao 266109, China.
| | - Tao Wang
- College of Biological Sciences, China Agricultural University, Beijing 100193, China.
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Cao C, Qiu X, Yang Z, Jin Y. New insights into the evolution and function of the UMAMIT (USUALLY MULTIPLE ACIDS MOVE IN AND OUT TRANSPORTER) gene family. JOURNAL OF PLANT RESEARCH 2025; 138:3-17. [PMID: 39531163 DOI: 10.1007/s10265-024-01596-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2024] [Accepted: 10/31/2024] [Indexed: 11/16/2024]
Abstract
UMAMIT proteins have been known as key players in amino acid transport. In Arabidopsis, functions of several UMAMITs have been characterized, but their precise mechanism, evolutionary history and functional divergence remain elusive. In this study, we conducted phylogenetic analysis of the UMAMIT gene family across key species in the evolutionary history of plants, ranging from algae to angiosperms. Our findings indicate that UMAMIT proteins underwent a substantial expansion from algae to angiosperms, accompanied by the stabilization of the EamA (the main domain of UMAMIT) structure. Phylogenetic studies suggest that UMAMITs may have originated from green algae and be divided into four subfamilies. These proteins first diversified in bryophytes and subsequently experienced gene duplication events in seed plants. Subfamily I was potentially associated with amino acid transport in seeds. Regarding subcellular localization, UMAMITs were predominantly localized in the plasma membrane and chloroplasts. However, members from clade 8 in subfamily III exhibited specific localization in the tonoplast. These members may have multiple functions, such as plant disease resistance and root development. Furthermore, our protein structure prediction revealed that the four-helix bundle motif is crucial in controlling the UMAMIT switch for exporting amino acid. We hypothesize that the specific amino acids in the amino acid binding region determine the type of amino acids being transported. Additionally, subfamily II contains genes that are specifically expressed in reproductive organs and roots in angiosperms, suggesting neofunctionalization. Our study highlights the evolutionary complexity of UMAMITs and underscores their crucial role in the adaptation and diversification of seed plants.
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Affiliation(s)
- Chenhao Cao
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, 200234, China
| | - Xinbao Qiu
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, 200234, China
| | - Zhongnan Yang
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, 200234, China
| | - Yue Jin
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, 200234, China.
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Krueger CB, Costa Netto JR, Arifuzzaman M, Fritschi FB. Characterization of genetic diversity and identification of genetic loci associated with carbon allocation in N 2 fixing soybean. BMC Genomics 2024; 25:1233. [PMID: 39710632 DOI: 10.1186/s12864-024-11153-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2024] [Accepted: 12/12/2024] [Indexed: 12/24/2024] Open
Abstract
BACKGROUND Efficient capture and use of resources is critical for optimal plant growth and productivity. Both shoot and root growth are essential for resource acquisition, namely light and CO2 by the shoot and water and mineral nutrients by roots. Soybean [Glycine max (L.) Merr.], one of the most valuable crops world-wide, uses an additional strategy, symbiotic N fixation (SNF), for N acquisition. SNF relies on development of specialized root organs known as nodules, which represent a distinct C sink. The genetic diversity of C partitioning in N fixing soybean to shoots, roots, and nodules has not been previously investigated but is valuable to better understand consequences of differential C allocation and to develop genetic resources, including identification of quantitative trait loci (QTLs). RESULTS A diversity panel of 402 soybean genotypes was phenotyped outdoors in a deep-tube system without addition of mineral N to measure allocation of biomass to the shoot, root, and nodules, as well as to determine nodule number, mean nodule biomass, and total shoot N accumulation. Wide ranges in phenotypes were observed for each of these traits, demonstrating extensive natural diversity in C partitioning and SNF in soybean. Using a set of 35,647 single nucleotide polymorphism (SNP) markers, we identified 121 SNPs tagging 103 QTLs that include both 84 novel and 19 previously identified QTLs for the eight examined traits. A candidate gene search identified 79 promising gene models in the vicinity of these QTLs. Favorable alleles of QTLs identified here may be used in breeding programs to develop elite cultivars with altered C partitioning. CONCLUSIONS This study provides novel insights into the diversity of biomass allocation in soybean and illustrates that the traits measured here are heritable and quantitative. QTLs identified in this study can be used in genomic prediction models as well as for further investigation of candidate genes and their roles in determining partitioning of fixed C. Enhancing our understanding of C partitioning in plants may lead to elite cultivars with optimized resource use efficiencies.
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Affiliation(s)
- C Bennet Krueger
- Division of Plant Science and Technology, University of Missouri, Columbia, MO, USA
| | - Jose R Costa Netto
- Division of Plant Science and Technology, University of Missouri, Columbia, MO, USA
| | - Muhammad Arifuzzaman
- Division of Plant Science and Technology, University of Missouri, Columbia, MO, USA
| | - Felix B Fritschi
- Division of Plant Science and Technology, University of Missouri, Columbia, MO, USA.
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Dong K, Ye Z, Hu F, Shan C, Wen D, Cao J. Improvement of plant quality by amino acid transporters: A comprehensive review. PLANT PHYSIOLOGY AND BIOCHEMISTRY : PPB 2024; 215:109084. [PMID: 39217823 DOI: 10.1016/j.plaphy.2024.109084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 08/06/2024] [Accepted: 08/28/2024] [Indexed: 09/04/2024]
Abstract
Amino acids serve as the primary means of transport and organic nitrogen carrier in plants, playing an essential role in plant growth and development. Amino acid transporters (AATs) facilitate the movement of amino acids within plants and have been identified and characterised in a number of species. It has been demonstrated that these amino acid transporters exert an influence on the quality attributes of plants, in addition to their primary function of transporting amino acid transport. This paper presents a summary of the role of AATs in plant quality improvement. This encompasses the enhancement of nitrogen utilization efficiency, root development, tiller number and fruit yield. Concurrently, AATs can bolster the resilience of plants to pests, diseases and abiotic stresses, thereby further enhancing the yield and quality of fruit. AATs exhibit a wide range of substrate specificity, which greatly optimizes the use of pesticides and significantly reduces pesticide residues, and reduces the risk of environmental pollution while increasing the safety of fruit. The discovery of AATs function provides new ideas and ways to cultivate high-quality crop and promote changes in agricultural development, and has great potential in the application of plant quality improvement.
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Affiliation(s)
- Kui Dong
- School of Life Sciences, Jiangsu University, Zhenjiang, 212013, Jiangsu, China
| | - Ziyi Ye
- School of Life Sciences, Jiangsu University, Zhenjiang, 212013, Jiangsu, China
| | - Fei Hu
- School of Life Sciences, Jiangsu University, Zhenjiang, 212013, Jiangsu, China
| | - Chaofan Shan
- School of Life Sciences, Jiangsu University, Zhenjiang, 212013, Jiangsu, China
| | - Dongyu Wen
- School of Life Sciences, Jiangsu University, Zhenjiang, 212013, Jiangsu, China
| | - Jun Cao
- School of Life Sciences, Jiangsu University, Zhenjiang, 212013, Jiangsu, China.
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Pereira WJ, Boyd J, Conde D, Triozzi PM, Balmant KM, Dervinis C, Schmidt HW, Boaventura-Novaes C, Chakraborty S, Knaack SA, Gao Y, Feltus FA, Roy S, Ané JM, Frugoli J, Kirst M. The single-cell transcriptome program of nodule development cellular lineages in Medicago truncatula. Cell Rep 2024; 43:113747. [PMID: 38329875 DOI: 10.1016/j.celrep.2024.113747] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 10/31/2023] [Accepted: 01/22/2024] [Indexed: 02/10/2024] Open
Abstract
Legumes establish a symbiotic relationship with nitrogen-fixing rhizobia by developing nodules. Nodules are modified lateral roots that undergo changes in their cellular development in response to bacteria, but the transcriptional reprogramming that occurs in these root cells remains largely uncharacterized. Here, we describe the cell-type-specific transcriptome response of Medicago truncatula roots to rhizobia during early nodule development in the wild-type genotype Jemalong A17, complemented with a hypernodulating mutant (sunn-4) to expand the cell population responding to infection and subsequent biological inferences. The analysis identifies epidermal root hair and stele sub-cell types associated with a symbiotic response to infection and regulation of nodule proliferation. Trajectory inference shows cortex-derived cell lineages differentiating to form the nodule primordia and, posteriorly, its meristem, while modulating the regulation of phytohormone-related genes. Gene regulatory analysis of the cell transcriptomes identifies new regulators of nodulation, including STYLISH 4, for which the function is validated.
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Affiliation(s)
- Wendell J Pereira
- School of Forest, Fisheries, and Geomatics Sciences, University of Florida, Gainesville, FL 32611, USA
| | - Jade Boyd
- School of Forest, Fisheries, and Geomatics Sciences, University of Florida, Gainesville, FL 32611, USA
| | - Daniel Conde
- School of Forest, Fisheries, and Geomatics Sciences, University of Florida, Gainesville, FL 32611, USA; Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, 28223 Madrid, Spain
| | - Paolo M Triozzi
- School of Forest, Fisheries, and Geomatics Sciences, University of Florida, Gainesville, FL 32611, USA; PlantLab, Center of Plant Sciences, Sant'Anna School of Advanced Studies, 56010 Pisa, Italy
| | - Kelly M Balmant
- School of Forest, Fisheries, and Geomatics Sciences, University of Florida, Gainesville, FL 32611, USA; Horticultural Sciences Department, University of Florida, Gainesville, FL 32611, USA
| | - Christopher Dervinis
- School of Forest, Fisheries, and Geomatics Sciences, University of Florida, Gainesville, FL 32611, USA
| | - Henry W Schmidt
- School of Forest, Fisheries, and Geomatics Sciences, University of Florida, Gainesville, FL 32611, USA
| | | | - Sanhita Chakraborty
- Department of Bacteriology, University of Wisconsin - Madison, Madison, WI 53706, USA
| | - Sara A Knaack
- Wisconsin Institute for Discovery, University of Wisconsin, Madison, WI 53715, USA
| | - Yueyao Gao
- Department of Genetics & Biochemistry, Clemson University, Clemson, SC 29634, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Frank Alexander Feltus
- Department of Genetics & Biochemistry, Clemson University, Clemson, SC 29634, USA; Biomedical Data Science and Informatics Program, Clemson University, Clemson, SC, USA; Clemson Center for Human Genetics, Clemson University, Greenwood, SC 29646, USA
| | - Sushmita Roy
- Wisconsin Institute for Discovery, University of Wisconsin, Madison, WI 53715, USA; Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI 53726, USA; Department of Computer Sciences, University of Wisconsin, Madison, WI 53706, USA
| | - Jean-Michel Ané
- Department of Bacteriology, University of Wisconsin - Madison, Madison, WI 53706, USA
| | - Julia Frugoli
- Department of Genetics & Biochemistry, Clemson University, Clemson, SC 29634, USA
| | - Matias Kirst
- School of Forest, Fisheries, and Geomatics Sciences, University of Florida, Gainesville, FL 32611, USA.
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