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Thenveettil N, Bheemanahalli R, Reddy KN, Gao W, Reddy KR. Temperature and elevated CO 2 alter soybean seed yield and quality, exhibiting transgenerational effects on seedling emergence and vigor. FRONTIERS IN PLANT SCIENCE 2024; 15:1427086. [PMID: 39145187 PMCID: PMC11322351 DOI: 10.3389/fpls.2024.1427086] [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: 05/03/2024] [Accepted: 07/11/2024] [Indexed: 08/16/2024]
Abstract
Introduction Environmental conditions play a prime role in the growth and development of plant species, exerting a significant influence on their reproductive capacity. Soybean is sensitive to high temperatures during flowering and seed developmental stages. Little is known about the combined environmental effect of temperature and CO2 on seed yield and quality and its future generation. Methods A study was conducted to examine the effect of temperature (22/14°C (low), 30/22°C (optimum), and 38/30°C (high)), and CO2 (420 ppm (ambient; aCO2) and 720 ppm (elevated; eCO2)) on seed yield, quality, and transgenerational seedling vigor traits of soybean cultivars (DS25-1 and DS31-243) using Soil-Plant-Atmospheric-Research facility. Results A significant temperature effect was recorded among yield and quality attributes. At high-temperature, the 100-seed weights of DS25-1 and DS31-243 declined by 40% and 24%, respectively, over the optimum temperature at aCO2. The harvest index of varieties reduced by 70% when exposed to high temperature under both aCO2 and eCO2, compared to the optimum temperature at aCO2. The seed oil (- 2%) and protein (8%) content altered when developed under high temperature under aCO2. Maximum sucrose (7.5%) and stachyose (3.8%) accumulation in seeds were observed when developed under low temperatures and eCO2. When the growing temperature increased from optimum to high, the seed oleic acids increased (63%), while linoleic and linolenic acids decreased (- 28% and - 43%, respectively). Significant temperature and CO2 effects were observed in progenies with the highest maximum seedling emergence (80%), lesser time to 50% emergence (5.5 days), and higher seedling vigor from parents grown at low-temperature treatment under eCO2. Discussion Exposure of plants to 38/30°C was detrimental to soybean seed yield, and eCO2 levels did not compensate for this yield loss. The high temperature during seed developmental stages altered the chemical composition of the seed, leading to an increased content of monounsaturated fatty acids. The findings suggest that parental stress can significantly impact the development of offspring, indicating that epigenetic regulation or memory repose may be at play.
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Affiliation(s)
- Naflath Thenveettil
- Department of Plant and Soil Sciences, Mississippi State University, Mississippi State, MS, United States
| | - Raju Bheemanahalli
- Department of Plant and Soil Sciences, Mississippi State University, Mississippi State, MS, United States
| | - Krishna N. Reddy
- United States Department of Agriculture - Agricultural Research Service (USDA-ARS), Crop Production Systems Research Unit, Stoneville, MS, United States
| | - Wei Gao
- United States Department of Agriculture - Ultraviolet B (USDA UVB) Monitoring and Research Program, Department of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO, United States
| | - K. Raja Reddy
- Department of Plant and Soil Sciences, Mississippi State University, Mississippi State, MS, United States
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Landi V, Maggiolino A, Hidalgo J, Rossoni A, Chebel RC, De Palo P. Effect of transgenerational environmental condition on genetics parameters of Italian Brown Swiss. J Dairy Sci 2024; 107:1549-1560. [PMID: 37806626 DOI: 10.3168/jds.2023-23741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Accepted: 09/15/2023] [Indexed: 10/10/2023]
Abstract
The aim of this study was to infer the effects of heat stress (HS) of dams during late gestation on direct and maternal genetic parameters for traits related to milk production and milk quality parameters (90,558 records) in Italian Brown Swiss cattle (12,072 cows in 617 herds). Daily average temperature-humidity indices (THI) during the last 56 d of pregnancy were calculated, using the climate data from the nearest public weather station for each herd. Heat load effects were considered as the average across the entire periods considering a thermoneutrality condition for data below the THI 60. For parameter estimation a random regression model using the second-order Legendre polynomial regression coefficient for THI considering both animal and maternal effect for heat load. Direct heritability increased sharply from THI 60 to 65, then decreased gradually up to THI ∼72, and sharply thereafter. Maternal heritability showed a different trend, with values close to 0 up until to THI 65 and slightly increasing toward extreme THI values. The study suggests a lower threshold of THI 60 for the onset of HS. Higher heritability values indicate greater selective efficiency in the THI range of 65 to 70, even if a higher standard deviation value have been detected. The effects of high THI during intrauterine life varied among traits with different heritability levels. Genetic correlations for milk, fat, and protein content at 60 THI with increasing value of environmental variable, remained constant (∼0.90) until THI >75, where they slightly decreased (∼0.85). Fat and protein yields, as well as milk and energy-corrected milk, showed correlations dropping to 0.80 around THI 67 to 68 and stabilizing between 0.75 and 0.85 at extreme THI values. Maternal component correlations dropped close to zero, with negative values for protein content at THI 65 to 70. Antagonism between direct and maternal components was stronger for intermediate THI values but less divergent for extremes. Genotype by environment interaction was observed, indicating the selection of resilient animals would be theoretically possible. In the future, the application of climate variables in selection schemes first should take into account the dimensions of the genetic correlations to be able to decide between the simple inclusion of the environmental effect in the statistical models, rather than a real parallel genetic evaluation.
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Affiliation(s)
- V Landi
- Department of Veterinary Medicine, University of Bari A. Moro, 70010 Valenzano, Italy
| | - A Maggiolino
- Department of Veterinary Medicine, University of Bari A. Moro, 70010 Valenzano, Italy.
| | - J Hidalgo
- Department of Animal and Dairy Science, University of Georgia, Athens, GA 30602
| | - A Rossoni
- Italian Brown Swiss Breeders Association, Loc. Ferlina 204, Bussolengo 37012, Italy
| | - R C Chebel
- Department of Large Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL 32610
| | - Pasquale De Palo
- Department of Veterinary Medicine, University of Bari A. Moro, 70010 Valenzano, Italy
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Auge G, Hankofer V, Groth M, Antoniou-Kourounioti R, Ratikainen I, Lampei C. Plant environmental memory: implications, mechanisms and opportunities for plant scientists and beyond. AOB PLANTS 2023; 15:plad032. [PMID: 37415723 PMCID: PMC10321398 DOI: 10.1093/aobpla/plad032] [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: 11/14/2022] [Accepted: 06/01/2023] [Indexed: 07/08/2023]
Abstract
Plants are extremely plastic organisms. They continuously receive and integrate environmental information and adjust their growth and development to favour fitness and survival. When this integration of information affects subsequent life stages or the development of subsequent generations, it can be considered an environmental memory. Thus, plant memory is a relevant mechanism by which plants respond adaptively to different environments. If the cost of maintaining the response is offset by its benefits, it may influence evolutionary trajectories. As such, plant memory has a sophisticated underlying molecular mechanism with multiple components and layers. Nonetheless, when mathematical modelling is combined with knowledge of ecological, physiological, and developmental effects as well as molecular mechanisms as a tool for understanding plant memory, the combined potential becomes unfathomable for the management of plant communities in natural and agricultural ecosystems. In this review, we summarize recent advances in the understanding of plant memory, discuss the ecological requirements for its evolution, outline the multilayered molecular network and mechanisms required for accurate and fail-proof plant responses to variable environments, point out the direct involvement of the plant metabolism and discuss the tremendous potential of various types of models to further our understanding of the plant's environmental memory. Throughout, we emphasize the use of plant memory as a tool to unlock the secrets of the natural world.
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Affiliation(s)
| | - Valentin Hankofer
- Institute of Biochemical Plant Pathology, Helmholtz Munich, Ingolstädter Landstraße 1, 85764 Oberschleißheim, Neuherberg, Germany
| | - Martin Groth
- Institute of Functional Epigenetics, Helmholtz Munich, Ingolstädter Landstraße 1, 85764 Oberschleißheim, Neuherberg, Germany
| | - Rea Antoniou-Kourounioti
- School of Molecular Biosciences, University of Glasgow, Sir James Black Building, University Ave, Glasgow G12 8QQ, UK
| | - Irja Ratikainen
- Department of Biology, Centre for Biodiversity Dynamics, Norwegian University of Science and Technology, Realfagbygget, NO-7491 Trondheim, Norway
| | - Christian Lampei
- Department of Biology (FB17), Plant Ecology and Geobotany Group, University of Marburg, Karl-von-Frisch-Straße 8, 35032 Marburg, Germany
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Colzi I, Gonnelli C, Vergata C, Golia G, Coppi A, Castellani MB, Giovino A, Buti M, Sabato T, Capuana M, Aprile A, De Bellis L, Cicatelli A, Guarino F, Castiglione S, Ioannou AG, Fotopoulos V, Martinelli F. Transgenerational effects of chromium stress at the phenotypic and molecular level in Arabidopsis thaliana. JOURNAL OF HAZARDOUS MATERIALS 2023; 442:130092. [PMID: 36303345 DOI: 10.1016/j.jhazmat.2022.130092] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 09/22/2022] [Accepted: 09/28/2022] [Indexed: 06/16/2023]
Abstract
In this study, we describe the results obtained in a study of the transgenerational phenotypic effects of chromium (Cr) stress on the model plant species Arabidopsis thaliana. The F1 generation derived from parents grown under chronic and medium chronic stress showed significantly higher levels of the maximal effective concentration (EC50) compared with F1 plants generated from unstressed parents. Moreover, F1 plants from Cr-stressed parents showed a higher germination rate when grown in the presence of Cr. F1 plants derived from parents cultivated under chronic Cr stress displayed reduced hydrogen peroxide levels under Cr stress compared to controls. At lower Cr stress levels, F1 plants were observed to activate promptly more genes involved in Cr stress responses than F0 plants, implying a memory effect linked to transgenerational priming. At higher Cr levels, and at later stages, F1 plants modulated significantly fewer genes than F0 plants, implying a memory effect leading to Cr stress adaptation. Several bHLH transcription factors were induced by Cr stress in F1 but not in F0 plants, including bHLH100, ORG2 and ORG3. F1 plants optimized gene expression towards pathways linked to iron starvation response. A model of the transcriptional regulation of transgenerational memory to Cr stress is presented here, and could be applied for other heavy metal stresses.
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Affiliation(s)
- Ilaria Colzi
- Department of Biology, University of Florence, Italy.
| | | | | | | | - Andrea Coppi
- Department of Biology, University of Florence, Italy.
| | | | - Antonio Giovino
- CREA Consiglio per la ricerca in Agricoltura e l'analisi dell'economia agraria, Centro di Ricerca Difesa e Certificazione, Bagheria, Italy.
| | - Matteo Buti
- Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, Italy.
| | | | - Maurizio Capuana
- Institute of Biosciences and Bioresources, National Research Council, Italy.
| | - Alessio Aprile
- Department of Biological and Environmental Sciences and Technologies, University of Salento, 73100 Lecce, Italy.
| | - Luigi De Bellis
- Department of Biological and Environmental Sciences and Technologies, University of Salento, 73100 Lecce, Italy.
| | - Angela Cicatelli
- Department of Chemistry and Biology, University of Salerno, Italy.
| | | | | | - Andreas G Ioannou
- Department of Agricultural Sciences, Biotechnology and Food Science, Cyprus University of Technology, 3603 Lemesos, Cyprus.
| | - Vasileios Fotopoulos
- Department of Agricultural Sciences, Biotechnology and Food Science, Cyprus University of Technology, 3603 Lemesos, Cyprus.
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Yin J, Lin X, Yao J, Li QQ, Zhang Y. Genotypic variation of transgenerational plasticity can be explained by environmental predictability at origins. OIKOS 2022. [DOI: 10.1111/oik.09006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Affiliation(s)
- Junjie Yin
- Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment and Ecology, Xiamen Univ. Xiamen Fujian China
| | - Xiaohe Lin
- Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment and Ecology, Xiamen Univ. Xiamen Fujian China
| | - Jing Yao
- Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment and Ecology, Xiamen Univ. Xiamen Fujian China
| | - Qingshun Q. Li
- Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment and Ecology, Xiamen Univ. Xiamen Fujian China
- Graduate College of Biomedical Sciences, Western Univ. of Health Sciences Pomona CA USA
| | - Yuan‐Ye Zhang
- Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment and Ecology, Xiamen Univ. Xiamen Fujian China
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