Correlation between the Density of Acipenser sinensis and Its Environmental DNA
Since the construction of the Gezhouba Dam, Chinese sturgeon ( ) numbers have gradually declined, rendering this species critically endangered according to the International Union for the Conservation of Nature. Environmental DNA (eDNA) technology plays an important role in monitoring the abundance...
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Veröffentlicht in: | Biology (Basel, Switzerland) Switzerland), 2024-01, Vol.13 (1), p.19 |
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Sprache: | eng |
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Zusammenfassung: | Since the construction of the Gezhouba Dam, Chinese sturgeon (
) numbers have gradually declined, rendering this species critically endangered according to the International Union for the Conservation of Nature. Environmental DNA (eDNA) technology plays an important role in monitoring the abundance of aquatic organisms. Species density and biomass have been proven to be estimable by researchers, but the level of accuracy depends on the specific species and ecosystem. In this study, juvenile
, an endangered fish, were selected as the research target. Under controlled laboratory conditions in an aquarium, one, two, four, six, and eight juvenile
were cultured in five fish tanks, respectively. Water samples were filtered at eight different time points for eDNA content analysis. Additionally, eDNA yield was tested at six different time points after a 0.114 ind./L density of
was removed, and the employed degradation model was screened using the Akaike information criterion (
) and the Bayesian information criterion (
). The results showed that eDNA content remained stable after 3 days and exhibited a significant positive linear correlation with the density of
(
= 0.768~0.986). Furthermore, eDNA content was negatively correlated with the 3-day period after the removal of
. The power function had the smallest
and
values, indicating better fitting performance. This study lays a momentous foundation for the application of eDNA for monitoring juvenile
in the Yangtze Estuary and reveals the applicability of eDNA as a useful tool for assessing fish density/biomass in natural environments. |
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ISSN: | 2079-7737 2079-7737 |
DOI: | 10.3390/biology13010019 |