2023
DOI: 10.1007/s00248-023-02305-8
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Depth-Dependent Distribution of Prokaryotes in Sediments of the Manganese Crust on Nazimov Guyots of the Magellan Seamounts

Jianxing Sun,
Hongbo Zhou,
Haina Cheng
et al.

Abstract: Deep ocean polymetallic nodules, rich in cobalt, nickel, and titanium which are commonly used in high-technology and biotechnology applications, are being eyed for green energy transition through deep-sea mining operations. Prokaryotic communities underneath polymetallic nodules could participate in deep-sea biogeochemical cycling, however, are not fully described. To address this gap, we collected sediment cores from Nazimov guyots, where polymetallic nodules exist, to explore the diversity and vertical distr… Show more

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Cited by 3 publications
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“…This method offers several advantages, including cost-effectiveness, environmental nondestructiveness, the ability to detect a wide range of taxa, and efficiency in surveying large and hard-to-access ecosystems with high sensitivity and statistically meaningful sample sizes (Brandt et al, 2020;Le et al, 2022). Recently, several eDNA metabarcoding studies have utilized sediment samples to reveal prokaryotic, foraminiferal, and fungal communities in the Magellan seamounts, demonstrating their effectiveness and reliability (Luo et al, 2020;Yang et al, 2020;Shi et al, 2021;Sun et al, 2023). Therefore, eDNA metabarcoding holds promise for advancing our understanding of deep-sea ecosystems and guiding conservation efforts in remote and challenging environments by overcoming the limitations of traditional methods.…”
Section: Introductionmentioning
confidence: 99%
“…This method offers several advantages, including cost-effectiveness, environmental nondestructiveness, the ability to detect a wide range of taxa, and efficiency in surveying large and hard-to-access ecosystems with high sensitivity and statistically meaningful sample sizes (Brandt et al, 2020;Le et al, 2022). Recently, several eDNA metabarcoding studies have utilized sediment samples to reveal prokaryotic, foraminiferal, and fungal communities in the Magellan seamounts, demonstrating their effectiveness and reliability (Luo et al, 2020;Yang et al, 2020;Shi et al, 2021;Sun et al, 2023). Therefore, eDNA metabarcoding holds promise for advancing our understanding of deep-sea ecosystems and guiding conservation efforts in remote and challenging environments by overcoming the limitations of traditional methods.…”
Section: Introductionmentioning
confidence: 99%
“…This method offers several advantages, including cost-effectiveness, environmental nondestructiveness, the ability to detect a wide range of taxa, and efficiency in surveying large and hard-to-access ecosystems with high sensitivity and statistically meaningful sample sizes (Brandt et al, 2020;Le et al, 2022). Recently, several eDNA metabarcoding studies have utilized sediment samples to reveal prokaryotic, foraminiferal, and fungal communities in the Magellan seamounts, demonstrating their effectiveness and reliability (Luo et al, 2020;Yang et al, 2020;Shi et al, 2021;Sun et al, 2023). Therefore, eDNA metabarcoding holds promise for advancing our understanding of deep-sea ecosystems and guiding conservation efforts in remote and challenging environments by overcoming the limitations of traditional methods.…”
Section: Introductionmentioning
confidence: 99%
“…This method offers several advantages, including cost-effectiveness, environmental nondestructiveness, the ability to detect a wide range of taxa, and efficiency in surveying large and hard-to-access ecosystems with high sensitivity and statistically meaningful sample sizes (Brandt et al, 2020;Le et al, 2022). Recently, several eDNA metabarcoding studies have utilized sediment samples to reveal prokaryotic, foraminiferal, and fungal communities in the Magellan seamounts, demonstrating their effectiveness and reliability (Luo et al, 2020;Yang et al, 2020;Shi et al, 2021;Sun et al, 2023). Therefore, eDNA metabarcoding holds promise for advancing our understanding of deep-sea ecosystems and guiding conservation efforts in remote and challenging environments by overcoming the limitations of traditional methods.…”
Section: Introductionmentioning
confidence: 99%