1
|
Walsh MR, Christian A, Feder M, Korte M, Tran K. Are parental condition transfer effects more widespread than is currently appreciated? J Exp Biol 2024; 227:jeb246094. [PMID: 38449326 DOI: 10.1242/jeb.246094] [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] [Indexed: 03/08/2024]
Abstract
It has long been recognized that the environment experienced by parents can influence the traits of offspring (i.e. 'parental effects'). Much research has explored whether mothers respond to predictable shifts in environmental signals by modifying offspring phenotypes to best match future conditions. Many organisms experience conditions that theory predicts should favor the evolution of such 'anticipatory parental effects', but such predictions have received limited empirical support. 'Condition transfer effects' are an alternative to anticipatory effects that occur when the environment experienced by parents during development influences offspring fitness. Condition transfer effects occur when parents that experience high-quality conditions produce offspring that exhibit higher fitness irrespective of the environmental conditions in the offspring generation. Condition transfer effects are not driven by external signals but are instead a byproduct of past environmental quality. They are also likely adaptive but have received far less attention than anticipatory effects. Here, we review the generality of condition transfer effects and show that they are much more widespread than is currently appreciated. Condition transfer effects are observed across taxa and are commonly associated with experimental manipulations of resource conditions experienced by parents. Our Review calls for increased research into condition transfer effects when considering the role of parental effects in ecology and evolution.
Collapse
Affiliation(s)
- Matthew R Walsh
- Department of Biology, University of Texas at Arlington, Arlington, TX 76019, USA
| | - Anne Christian
- Department of Biology, University of Texas at Arlington, Arlington, TX 76019, USA
| | - Mikaela Feder
- Department of Biology, University of Texas at Arlington, Arlington, TX 76019, USA
| | - Meghan Korte
- Department of Biology, University of Texas at Arlington, Arlington, TX 76019, USA
| | - Kevin Tran
- Department of Biology, University of Texas at Arlington, Arlington, TX 76019, USA
| |
Collapse
|
2
|
Lemmen KD, Zhou L, Papakostas S, Declerck SAJ. An experimental test of the growth rate hypothesis as a predictive framework for microevolutionary adaptation. Ecology 2023; 104:e3853. [PMID: 36054549 PMCID: PMC10078216 DOI: 10.1002/ecy.3853] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 06/30/2022] [Accepted: 07/01/2022] [Indexed: 02/01/2023]
Abstract
The growth rate hypothesis (GRH) posits that the relative body phosphorus content of an organism is positively related to somatic growth rate, as protein synthesis, which is necessary for growth, requires P-rich rRNA. This hypothesis has strong support at the interspecific level. Here, we explore the use of the GRH to predict microevolutionary responses in consumer body stoichiometry. For this, we subjected populations of the rotifer Brachionus calyciflorus to selection for fast population growth rate (PGR) in P-rich (HPF) and P-poor (LPF) food environments. With common garden transplant experiments, we demonstrate that in HP populations evolution toward increased PGR was concomitant with an increase in relative phosphorus content. In contrast, LP populations evolved higher PGR without an increase in relative phosphorus content. We conclude that the GRH has the potential to predict microevolutionary change, but that its application is contingent on the environmental context. Our results highlight the potential of cryptic evolution in determining the performance response of populations to elemental limitation of their food resources.
Collapse
Affiliation(s)
- Kimberley D Lemmen
- Department of Aquatic Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, Netherlands
| | - Libin Zhou
- Department of Aquatic Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, Netherlands
| | | | - Steven A J Declerck
- Department of Aquatic Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, Netherlands.,Department of Biology, Laboratory of Aquatic Ecology, Evolution and Conservation, KU Leuven, Leuven, Belgium
| |
Collapse
|
3
|
Sha Y, Hansson L. Ancestral environment determines the current reaction to ultraviolet radiation in Daphnia magna. Evolution 2022; 76:1821-1835. [PMID: 35788927 PMCID: PMC9542806 DOI: 10.1111/evo.14555] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 06/08/2022] [Accepted: 06/20/2022] [Indexed: 01/22/2023]
Abstract
An individual's phenotype can be altered by direct contact with its present environment but also by environmental features experienced by previous generations, that is, parental or grandparental effects. However, the strength and direction of these transgenerational effects may be highly variable according to the ecological conditions experienced by ancestral generations. Here, we performed a reciprocal split-brood experiment to compare transgenerational responses to the threat of ultraviolet radiation (UVR) in the zooplankter Daphnia magna, which had, or had not, been exposed to UVR for more than 150 generations. We found that the environment at which parents and grandparents were reared significantly influenced both behavior and life-history traits of their descendants. However, such transgenerational responses differed between D. magna individuals with contrasting ancestral stress history, that is, when exposed to UVR previously unexposed individuals rapidly changed their behavior and life-history traits, whereas individuals previously exposed to UVR showed less pronounced response when the UVR threat level relaxed. Hence, we here demonstrate an asymmetric transgenerational plasticity in response to UVR threat. The findings advance our understanding on the evolutionary ecology of such transgenerational effects and their potential role in response to changes in the local environment.
Collapse
Affiliation(s)
- Yongcui Sha
- Department of Biology, Aquatic EcologyLund UniversityLundSE‐22362Sweden,School of Marine Science and EngineeringQingdao Agricultural UniversityQingdao266109China
| | | |
Collapse
|
6
|
Kazama T, Urabe J, Yamamichi M, Tokita K, Yin X, Katano I, Doi H, Yoshida T, Hairston NG. A unified framework for herbivore-to-producer biomass ratio reveals the relative influence of four ecological factors. Commun Biol 2021; 4:49. [PMID: 33420411 PMCID: PMC7794211 DOI: 10.1038/s42003-020-01587-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 12/10/2020] [Indexed: 12/04/2022] Open
Abstract
The biomass ratio of herbivores to primary producers reflects the structure of a community. Four primary factors have been proposed to affect this ratio, including production rate, defense traits and nutrient contents of producers, and predation by carnivores. However, identifying the joint effects of these factors across natural communities has been elusive, in part because of the lack of a framework for examining their effects simultaneously. Here, we develop a framework based on Lotka–Volterra equations for examining the effects of these factors on the biomass ratio. We then utilize it to test if these factors simultaneously affect the biomass ratio of freshwater plankton communities. We found that all four factors contributed significantly to the biomass ratio, with carnivore abundance having the greatest effect, followed by producer stoichiometric nutrient content. Thus, the present framework should be useful for examining the multiple factors shaping various types of communities, both aquatic and terrestrial. Takehiro Kazama et al. develop a framework based on Lotka–Volterra models to identify the relative influences of production rate, defense traits, nutrient contents of producers, and predation, in affecting the biomass ratio of herbivores to primary producers in a community. They apply this framework to freshwater plankton systems and find that while all factors affect the biomass ratio, carnivore abundance has the greatest relative influence.
Collapse
Affiliation(s)
- Takehiro Kazama
- Aquatic Ecology Laboratory, Graduate School of Life Sciences, Tohoku University, 6-3 Aza-Aoba, Aramaki, Aoba-ku, Sendai, Miyagi, 980-8578, Japan.,Lake Biwa Branch Office, Center for Regional Environmental Research, National Institute for Environmental Studies, 5-34 Yanagasaki, Otsu, Shiga, 520-0022, Japan
| | - Jotaro Urabe
- Aquatic Ecology Laboratory, Graduate School of Life Sciences, Tohoku University, 6-3 Aza-Aoba, Aramaki, Aoba-ku, Sendai, Miyagi, 980-8578, Japan.
| | - Masato Yamamichi
- Department of General Systems Studies, University of Tokyo, 3-8-1 Komaba, Meguro, Tokyo, 153-8902, Japan.,School of Biological Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Kotaro Tokita
- Aquatic Ecology Laboratory, Graduate School of Life Sciences, Tohoku University, 6-3 Aza-Aoba, Aramaki, Aoba-ku, Sendai, Miyagi, 980-8578, Japan
| | - Xuwang Yin
- Liaoning Provincial Key Laboratory for Hydrobiology, College of Fisheries and Life Science, Dalian Ocean University, 52 Heishijiao Street, Shahekou District, Dalian, 116023, China
| | - Izumi Katano
- Graduate School of Humanities and Sciences, Nara Women's University, Kitanoya-nishimachi, Nara, 630-8506, Japan.,KYOUSEI Science Center for Life and Nature, Nara Women's University, Kitanoya-nishimachi, Nara, 630-8506, Japan
| | - Hideyuki Doi
- Graduate School of Simulation Studies, University of Hyogo, 7-1-28 Minatojima-minamimachi, Chuo-ku, Kobe, 650-0047, Japan
| | - Takehito Yoshida
- Department of General Systems Studies, University of Tokyo, 3-8-1 Komaba, Meguro, Tokyo, 153-8902, Japan.,Research Institute for Humanity and Nature, 457-4 Motoyama, Kamigamo, Kita-ku, Kyoto, 603-8047, Japan
| | - Nelson G Hairston
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, 14853, USA
| |
Collapse
|