Evidence map›Paper›PMID 33893979›Full record

ReviewScience China. Life sciences2021

Biodiversity-based development and evolution: the emerging research systems in model and non-model organisms.

Long Zhao, Feng Gao, Shan Gao, Yujun Liang, Hongan Long, Zhiyi Lv, Ying Su, Naihao Ye, Liusuo Zhang, Chengtian Zhao and 4 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Science China. Life sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

54 citing papers in PubMed.

  1. Article
  2. A distinct subclade of AlkB family demethylases in ciliates safeguards the positional fidelity of eukaryotic NProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Review
  4. Article
  5. Physics of notochord tube expansion in ascidians.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Multi-Omics Integrative Analysis to Reveal the Impacts ofInternational journal of molecular sciences · 2024
    Article
  16. Review
  17. Article
  18. Dynamic DNAGenome research · 2024
    Article
  19. Article
  20. Article
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

14 authors.

Long Zhao *Institute of Evolution and Marine Biodiversity (IEMB), Ocean University of China, Qingdao, 266003, China.
Feng Gao *Institute of Evolution and Marine Biodiversity (IEMB), Ocean University of China, Qingdao, 266003, China.
Shan Gao *Institute of Evolution and Marine Biodiversity (IEMB), Ocean University of China, Qingdao, 266003, China.
Yujun Liang *Institute of Evolution and Marine Biodiversity (IEMB), Ocean University of China, Qingdao, 266003, China.
Hongan Long *Institute of Evolution and Marine Biodiversity (IEMB), Ocean University of China, Qingdao, 266003, China.
Zhiyi Lv *Institute of Evolution and Marine Biodiversity (IEMB), Ocean University of China, Qingdao, 266003, China.
Ying Su *Institute of Evolution and Marine Biodiversity (IEMB), Ocean University of China, Qingdao, 266003, China.
Naihao Ye *Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, 266071, China.
Liusuo Zhang *Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China.
Chengtian Zhao *Institute of Evolution and Marine Biodiversity (IEMB), Ocean University of China, Qingdao, 266003, China.
Xiaoyu WangInstitute of Evolution and Marine Biodiversity (IEMB), Ocean University of China, Qingdao, 266003, China.
Weibo SongInstitute of Evolution and Marine Biodiversity (IEMB), Ocean University of China, Qingdao, 266003, China. wsong@ouc.edu.cn.
Shicui ZhangInstitute of Evolution and Marine Biodiversity (IEMB), Ocean University of China, Qingdao, 266003, China. sczhang@ouc.edu.cn.
Bo DongInstitute of Evolution and Marine Biodiversity (IEMB), Ocean University of China, Qingdao, 266003, China. bodong@ouc.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evolutionary developmental biology, or Evo-Devo for short, has become an established field that, broadly speaking, seeks to understand how changes in development drive major transitions and innovation in organismal evolution. It does so via integrating the principles and methods of many subdisciplines of biology. Although we have gained unprecedented knowledge from the studies on model organisms in the past decades, many fundamental and crucially essential processes remain a mystery. Considering the tremendous biodiversity of our planet, the current model organisms seem insufficient for us to understand the evolutionary and physiological processes of life and its adaptation to exterior environments. The currently increasing genomic data and the recently available gene-editing tools make it possible to extend our studies to non-model organisms. In this review, we review the recent work on the regulatory signaling of developmental and regeneration processes, environmental adaptation, and evolutionary mechanisms using both the existing model animals such as zebrafish and Drosophila, and the emerging nonstandard model organisms including amphioxus, ascidian, ciliates, single-celled phytoplankton, and marine nematode. In addition, the challenging questions and new directions in these systems are outlined as well.

Indexed as

BiodiversityBiological EvolutionDevelopmental BiologyModels, AnimalAnimalsGenomicsbiodiversityenvironmental adaptationepigeneticEvo-Devomutationregeneration

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.