Evidence map›Paper›PMID 37480068›Full record

ArticleZoological letters2023

Variation in responses to photoperiods and temperatures in Japanese medaka from different latitudes.

Ai Shinomiya, Daisuke Adachi, Tsuyoshi Shimmura, Miki Tanikawa, Naoshi Hiramatsu, Shigeho Ijiri, Kiyoshi Naruse, Mitsuru Sakaizumi, Takashi Yoshimura

Abstract read
In one paragraph

Article in Zoological letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Ai ShinomiyaDivision of Seasonal Biology, National Institute for Basic Biology, National Institutes of Natural Sciences, Okazaki, Aichi, Japan. aishinom@nibb.ac.jp.ORCID http://orcid.org/0000-0003-3784-0532
Daisuke AdachiDivision of Seasonal Biology, National Institute for Basic Biology, National Institutes of Natural Sciences, Okazaki, Aichi, Japan.
Tsuyoshi ShimmuraDivision of Seasonal Biology, National Institute for Basic Biology, National Institutes of Natural Sciences, Okazaki, Aichi, Japan.
Miki TanikawaLaboratory of Animal Integrative Physiology, Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya, Aichi, Japan.
Naoshi HiramatsuAquaculture Biology, Marine Life Science, Faculty of Fisheries Sciences, Hokkaido University, Hakodate, Hokkaido, Japan.
Shigeho IjiriAquaculture Biology, Marine Life Science, Faculty of Fisheries Sciences, Hokkaido University, Hakodate, Hokkaido, Japan.
Kiyoshi NaruseDepartment of Basic Biology, School of Life Science, SOKENDAI (The Graduate University for Advanced Studies), Okazaki, Aichi, Japan.
Mitsuru SakaizumiDepartment of Environmental Science, Institute of Science and Technology, Niigata University, Niigata, Japan.
Takashi YoshimuraDivision of Seasonal Biology, National Institute for Basic Biology, National Institutes of Natural Sciences, Okazaki, Aichi, Japan. takashiy@agr.nagoya-u.ac.jp.

Funding

Grant for Basic Science Research Projects from The Sumitomo Foundation 180987Human Frontier Science Program RGP0030/2015Japan Society for Promotion of Science 19H05643Japan Society for the Promotion of Science 15K07163Japan Society for the Promotion of Science 26000013
6 · The paper itself

Abstract

Seasonal changes are more robust and dynamic at higher latitudes than at lower latitudes, and animals sense seasonal changes in the environment and alter their physiology and behavior to better adapt to harsh winter conditions. However, the genetic basis for sensing seasonal changes, including the photoperiod and temperature, remains unclear. Medaka (Oryzias latipes species complex), widely distributed from subtropical to cool-temperate regions throughout the Japanese archipelago, provides an excellent model to tackle this subject. In this study, we examined the critical photoperiods and critical temperatures required for seasonal gonadal development in female medaka from local populations at various latitudes. Intraspecific differences in critical photoperiods and temperatures were detected, demonstrating that these differences were genetically controlled. Most medaka populations could perceive the difference between photoperiods for at least 1 h. Populations in the Northern Japanese group required 14 h of light in a 24 h photoperiod to develop their ovaries, whereas ovaries from the Southern Japanese group developed under 13 h of light. Additionally, Miyazaki and Ginoza populations from lower latitudes were able to spawn under short-day conditions of 11 and 10 h of light, respectively. Investigation of the critical temperature demonstrated that the Higashidori population, the population from the northernmost region of medaka habitats, had a critical temperature of over 18 °C, which was the highest critical temperature among the populations examined. The Miyazaki and the Ginoza populations, in contrast, were found to have critical temperatures under 14 °C. When we conducted a transplant experiment in a high-latitudinal environment using medaka populations with different seasonal responses, the population from higher latitudes, which had a longer critical photoperiod and a higher critical temperature, showed a slower reproductive onset but quickly reached a peak of ovarian size. The current findings show that low latitudinal populations are less responsive to photoperiodic and temperature changes, implying that variations in this responsiveness can alter seasonal timing of reproduction and change fitness to natural environments with varying harshnesses of seasonal changes. Local medaka populations will contribute to elucidating the genetic basis of seasonal time perception and adaptation to environmental changes.

Indexed as

Critical photoperiodCritical temperatureIntraspecific variationMedakaPhotoperiodismSeasonal reproduction

Identifiers

PMID37480068
PMCPMC10362753

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.