Coral reefs are the most diverse marine ecosystems. However, coral cover has decreased worldwide due to natural disturbances, climate change, and local anthropogenic drivers. In recent decades, various genetic methods and molecular markers have been developed to assess genetic diversity, structure, and connectivity in different coral species to determine the vulnerability of their populations. This review aims to identify population genetic studies of scleractinian corals in the last decade (2010-2020), and the techniques and molecular markers used. Bibliometric analysis was conducted to identify journals and authors working in this field. We then calculated the number of genetic studies by species and ecoregion based on data obtained from 178 studies found in Scopus and Web of Science. Coral Reefs and Molecular Ecology were the main journals published population genetics studies, and microsatellites are the most widely used molecular markers. The Caribbean, Australian Barrier Reef, and South Kuroshio in Japan are among the ecoregions with the most population genetics data. In contrast, we found limited information about the Coral Triangle, a region with the highest biodiversity and key to coral reef conservation. Notably, only 117 (out of 1500 described) scleractinian coral species have genetic studies. This review emphasizes which coral species have been studied and highlights remaining gaps and locations where such data is critical for coral conservation.
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http://dx.doi.org/10.1016/j.marenvres.2022.105781 | DOI Listing |
Brief Bioinform
November 2024
Department of Dermatology, Daping Hospital, Army Medical University, No. 10, Changjiang Branch Road, Yuzhong District, Chongqing 400042, China.
Psoriasis affects a significant proportion of the worldwide population and causes an extremely heavy psychological and physical burden. The existing therapeutic schemes have many deficiencies such as limited efficacies and various side effects. Therefore, novel ways of treating psoriasis are urgently needed.
View Article and Find Full Text PDFJAMA Oncol
January 2025
Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston.
J Neurooncol
January 2025
Cancer Surveillance Branch, International Agency for Research On Cancer (IARC), 25 Avenue Tony Garnier, CS 90627, 69366 LYON CEDEX 07, Lyon, France.
Background: Global comparisons of the burden and impact of cancers of the brain and central nervous system (CNS) are critical for developing effective control strategies and generating etiological hypotheses to drive future research.
Methods: National incidence estimates were obtained from GLOBOCAN 2022, and recorded incidence data from the Cancer in Five Continents series, both developed and compiled by the International Agency for Research on Cancer. We examined the estimated age-standardized incidence rates in 185 countries, as well as time trends in recorded incidence in 35 countries, quantifying the direction and change in the magnitude of the rates using the estimated average percentage change (EAPC).
Pediatr Nephrol
January 2025
Division of Molecular Medicine, University of São Paulo School of Medicine, São Paulo, Brazil.
Predicting the risks of progression to chronic kidney disease (CKD) stage 5 in idiopathic nephrotic syndrome (NS) and recurrence of the disease (rNS) following kidney transplantation (KT) is a key assessment to provide essential management information. NS has been categorized etiologically as genetic and immune-based. A genetic cause can be identified in ~ 30% of children with steroid-resistant NS (SRNS), a finding associated with a very low risk of rNS following KT.
View Article and Find Full Text PDFJ Insect Sci
January 2025
ZooLab, Department of Biodiversity and Ecology, Plant Science and Biodiversity Centre, Slovak Academy of Sciences, Bratislava, Slovakia.
Mitochondrial genomes are a rich source of data for various downstream analyses such as population genetics, phylogeny, and systematics. Today it is possible to assemble rapidly large numbers of mitogenomes, mainly employing next-generation sequencing and third-generation sequencing. However, verification of the correctness of the generated sequences is often lacking, especially for noncoding, length-variable parts.
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