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Guerra S, Castiello U, Bonato B, Dadda M. Handedness in Animals and Plants. BIOLOGY 2024; 13:502. [PMID: 39015821 PMCID: PMC7616222 DOI: 10.3390/biology13070502] [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] [Revised: 07/01/2024] [Accepted: 07/04/2024] [Indexed: 07/18/2024]
Abstract
Structural and functional asymmetries are traceable in every form of life, and some lateralities are homologous. Functionally speaking, the division of labour between the two halves of the brain is a basic characteristic of the nervous system that arose even before the appearance of vertebrates. The most well-known expression of this specialisation in humans is hand dominance, also known as handedness. Even if hand/limb/paw dominance is far more commonly associated with the presence of a nervous system, it is also observed in its own form in aneural organisms, such as plants. To date, little is known regarding the possible functional significance of this dominance in plants, and many questions remain open (among them, whether it reflects a generalised behavioural asymmetry). Here, we propose a comparative approach to the study of handedness, including plants, by taking advantage of the experimental models and paradigms already used to study laterality in humans and various animal species. By taking this approach, we aim to enrich our knowledge of the concept of handedness across natural kingdoms.
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Affiliation(s)
- Silvia Guerra
- Department of General Psychology (DPG), University of Padova, 35131 Padova, Italy; (U.C.); (B.B.); (M.D.)
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Aniskina TS, Baranova EN, Lebedev SV, Reger NS, Besaliev IN, Panfilov AA, Kryuchkova VA, Gulevich AA. Unexpected Effects of Sulfate and Sodium Chloride Application on Yield Qualitative Characteristics and Symmetry Indicators of Hard and Soft Wheat Kernels. PLANTS (BASEL, SWITZERLAND) 2023; 12:980. [PMID: 36903841 PMCID: PMC10004740 DOI: 10.3390/plants12050980] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 02/16/2023] [Accepted: 02/17/2023] [Indexed: 06/18/2023]
Abstract
The heterogeneity of grain quality can lead to limited predictability of qualitative and quantitative characteristics of the wheat yield, especially with an increase in the importance of drought and salinity caused by climate change. This study was undertaken with the aim of creating basic tools for phenotyping and assessing the sensitivity of genotypes to salt effects at the level of some wheat kernel attributes. The study considers 36 variants of the experiment, including four wheat cultivars-Zolotaya, Ulyanovskaya 105, Orenburgskaya 10, Orenburgskaya 23; three treatment variants-control (without salt) and two salts exposure (NaCl at a concentration of 1.1 g L-1 and Na2SO4 at a concentration of 0.4 g L-1); as well as three options for the arrangement of kernels in a simple spikelet-left, middle, and right. It has been established that the salt exposure had a positive effect on the percentage of kernel fulfilling in the cultivars Zolotaya, Ulyanovskaya 105, and Orenburgskaya 23 compared to control. The kernels of the Orenburgskaya 10 variety matured better in the experiment with Na2SO4 exposure, while the control variant and NaCl gave the same effect. When exposed to NaCl, significantly greater values of weight, transverse section area, and transverse section perimeter of the kernel were noted in the cv Zolotaya and Ulyanovskaya 105. Cv Orenburgskaya 10 responded positively to the use of Na2SO4. This salt caused an increase in the area, length, and width of the kernel. The fluctuating asymmetry of the left, middle, and right kernels in the spikelet was calculated. In the cv Orenburgskaya 23 the salts affected only the kernel perimeter among parameters examined. The indicators of the general (fluctuating) asymmetry were lower in the experiments with the use of salts, i.e., kernels were more symmetrical than in the control variant, both for the cultivar as a whole and when compared taking into account the kernel location in spikelet. However, this result was unexpected, since salt stress inhibited a number of morphological parameters: the number and average length of embryonic, adventitious, and nodal roots, flag leaf area, plant height, dry biomass accumulation, and plant productivity indicators. The study showed that low concentrations of salts can positively affect the fulfilling of kernels (the absence of a cavity inside the kernel) and the symmetry of the left and right sides of the kernel.
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Affiliation(s)
- Tatiana S. Aniskina
- N.V. Tsitsin Main Botanical Garden of Russian Academy of Sciences, Botanicheskaya 4, 127276 Moscow, Russia
| | - Ekaterina N. Baranova
- N.V. Tsitsin Main Botanical Garden of Russian Academy of Sciences, Botanicheskaya 4, 127276 Moscow, Russia
- All-Russia Research Institute of Agricultural Biotechnology, Timiryazevskaya 42, 127550 Moscow, Russia
| | - Svyatoslav V. Lebedev
- Federal Scientific Center of Biological Systems and Agrotechnology of the Russian Academy of Sciences, 9 Yanvarya 29, 460000 Orenburg, Russia
| | - Nelli S. Reger
- Federal Scientific Center of Biological Systems and Agrotechnology of the Russian Academy of Sciences, 9 Yanvarya 29, 460000 Orenburg, Russia
| | - Ishen N. Besaliev
- Federal Scientific Center of Biological Systems and Agrotechnology of the Russian Academy of Sciences, 9 Yanvarya 29, 460000 Orenburg, Russia
| | - Alexander A. Panfilov
- Federal Scientific Center of Biological Systems and Agrotechnology of the Russian Academy of Sciences, 9 Yanvarya 29, 460000 Orenburg, Russia
| | - Viktoriya A. Kryuchkova
- N.V. Tsitsin Main Botanical Garden of Russian Academy of Sciences, Botanicheskaya 4, 127276 Moscow, Russia
| | - Alexander A. Gulevich
- All-Russia Research Institute of Agricultural Biotechnology, Timiryazevskaya 42, 127550 Moscow, Russia
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Castro WACD, Luz RC, Peres CK. Seasonality and forest edge as drivers of Tradescantia zebrina Hort. ex Bosse invasion in the Atlantic Forest. BRAZ J BIOL 2021; 82:e238403. [PMID: 33825758 DOI: 10.1590/1519-6984.238403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Accepted: 08/05/2020] [Indexed: 11/22/2022] Open
Abstract
As a result of biodiversity and ecosystem service losses associated with biological invasions, there has been growing interest in basic and applied research on invasive species aiming to improve management strategies. Tradescantia zebrina is a herbaceous species increasingly reported as invasive in the understory of disturbed forest ecosystems. In this study, we assess the effect of spatial and seasonal variation on biological attributes of this species in the Atlantic Forest. To this end, we measured attributes of T. zebrina associated with plant growth and stress in the four seasons at the forest edge and in the forest interior of invaded sites in the Iguaçu National Park, Southern Brazil. The invasive plant had higher growth at the forest edge than in the forest interior and lower leaf asymmetry and herbivory in the winter than in the summer. Our findings suggest that the forest edge environment favours the growth of T. zebrina. This invasive species is highly competitive in the understory of semi-deciduous seasonal forests all over the year. Our study contributes to the management of T. zebrina by showing that the summer is the best season for controlling this species.
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Affiliation(s)
- W A Chiba de Castro
- Universidade Federal da Integração Latino-Americana - UNILA, Instituto Latino-Americano de Ciências da Vida e da Natureza, Foz do Iguaçu, PR, Brasil
| | - R C Luz
- Universidade Federal da Integração Latino-Americana - UNILA, Instituto Latino-Americano de Ciências da Vida e da Natureza, Foz do Iguaçu, PR, Brasil
| | - C K Peres
- Universidade Federal da Integração Latino-Americana - UNILA, Instituto Latino-Americano de Ciências da Vida e da Natureza, Foz do Iguaçu, PR, Brasil
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Wu J, Zhang B, Cui Y, Zhao W, Xu L, Huang M, Zeng Y, Zhu J, Wu R. Genetic mapping of developmental instability: design, model and algorithm. Genetics 2007; 176:1187-96. [PMID: 17435243 PMCID: PMC1894583 DOI: 10.1534/genetics.107.072843] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Developmental instability or noise, defined as the phenotypic imprecision of an organism in the face of internal or external stochastic disturbances, has been thought to play an important role in shaping evolutionary processes and patterns. The genetic studies of developmental instability have been based on fluctuating asymmetry (FA) that measures random differences between the left and the right sides of bilateral traits. In this article, we frame an experimental design characterized by a spatial autocorrelation structure for determining the genetic control of developmental instability for those traits that cannot be bilaterally measured. This design allows the residual environmental variance of a quantitative trait to be dissolved into two components due to permanent and random environmental factors. The degree of developmental instability is quantified by the relative proportion of the random residual variance to the total residual variance. We formulate a mixture model to estimate and test the genetic effects of quantitative trait loci (QTL) on the developmental instability of the trait. The genetic parameters including the QTL position, the QTL effects, and spatial autocorrelations are estimated by implementing the EM algorithm within the mixture model framework. Simulation studies were performed to investigate the statistical behavior of the model. A live example for poplar trees was used to map the QTL that control root length growth and its developmental instability from cuttings in water culture.
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Affiliation(s)
- Jiasheng Wu
- College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang 310029, People's Republic of China, School of Forestry and Biotechnology, Zhejiang Forestry University, Lin'an, Zhejiang 311300, People's Republic of China, Department of Statistics, University of Florida, Gainesville, Florida 32611 and The Key Laboratory of Forest Genetics and Gene Engineering, Nanjing Forestry University, Nanjing, Jiangsu 210037, People's Republic of China
| | - Bo Zhang
- College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang 310029, People's Republic of China, School of Forestry and Biotechnology, Zhejiang Forestry University, Lin'an, Zhejiang 311300, People's Republic of China, Department of Statistics, University of Florida, Gainesville, Florida 32611 and The Key Laboratory of Forest Genetics and Gene Engineering, Nanjing Forestry University, Nanjing, Jiangsu 210037, People's Republic of China
| | - Yuehua Cui
- College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang 310029, People's Republic of China, School of Forestry and Biotechnology, Zhejiang Forestry University, Lin'an, Zhejiang 311300, People's Republic of China, Department of Statistics, University of Florida, Gainesville, Florida 32611 and The Key Laboratory of Forest Genetics and Gene Engineering, Nanjing Forestry University, Nanjing, Jiangsu 210037, People's Republic of China
| | - Wei Zhao
- College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang 310029, People's Republic of China, School of Forestry and Biotechnology, Zhejiang Forestry University, Lin'an, Zhejiang 311300, People's Republic of China, Department of Statistics, University of Florida, Gainesville, Florida 32611 and The Key Laboratory of Forest Genetics and Gene Engineering, Nanjing Forestry University, Nanjing, Jiangsu 210037, People's Republic of China
| | - Li'an Xu
- College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang 310029, People's Republic of China, School of Forestry and Biotechnology, Zhejiang Forestry University, Lin'an, Zhejiang 311300, People's Republic of China, Department of Statistics, University of Florida, Gainesville, Florida 32611 and The Key Laboratory of Forest Genetics and Gene Engineering, Nanjing Forestry University, Nanjing, Jiangsu 210037, People's Republic of China
| | - Minren Huang
- College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang 310029, People's Republic of China, School of Forestry and Biotechnology, Zhejiang Forestry University, Lin'an, Zhejiang 311300, People's Republic of China, Department of Statistics, University of Florida, Gainesville, Florida 32611 and The Key Laboratory of Forest Genetics and Gene Engineering, Nanjing Forestry University, Nanjing, Jiangsu 210037, People's Republic of China
| | - Yanru Zeng
- College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang 310029, People's Republic of China, School of Forestry and Biotechnology, Zhejiang Forestry University, Lin'an, Zhejiang 311300, People's Republic of China, Department of Statistics, University of Florida, Gainesville, Florida 32611 and The Key Laboratory of Forest Genetics and Gene Engineering, Nanjing Forestry University, Nanjing, Jiangsu 210037, People's Republic of China
| | - Jun Zhu
- College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang 310029, People's Republic of China, School of Forestry and Biotechnology, Zhejiang Forestry University, Lin'an, Zhejiang 311300, People's Republic of China, Department of Statistics, University of Florida, Gainesville, Florida 32611 and The Key Laboratory of Forest Genetics and Gene Engineering, Nanjing Forestry University, Nanjing, Jiangsu 210037, People's Republic of China
| | - Rongling Wu
- College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang 310029, People's Republic of China, School of Forestry and Biotechnology, Zhejiang Forestry University, Lin'an, Zhejiang 311300, People's Republic of China, Department of Statistics, University of Florida, Gainesville, Florida 32611 and The Key Laboratory of Forest Genetics and Gene Engineering, Nanjing Forestry University, Nanjing, Jiangsu 210037, People's Republic of China
- Corresponding author: Department of Statistics, 409 McCarty Hall C, University of Florida, Gainesville, FL 32611. E-mail:
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