Results 161 to 170 of about 36,242 (234)

Deep-Sea Cold Seep Campylobacterota: Diversity, Growth, Metabolic Characteristics, and Nutrient Production. [PDF]

Microorganisms
Yan X, Sun Q, Xu K, Zhuo J, Sun Y, Qian G, Zhang X, Sun L.   +7 more
europepmc   +1 more source

Metal-Driven Anaerobic Oxidation of Methane as an Important Methane Sink in Methanic Cold Seep Sediments. [PDF]

Microbiol Spectr, 2023
Xiao X, Luo M, Zhang C, Zhang T, Yin X, Wu X, Zhao J, Tao J, Chen Z, Liang Q, Dong X.   +10 more
europepmc   +1 more source

Early genome erosion and internal phage-symbiont-host interaction in the endosymbionts of a cold-seep tubeworm. [PDF]

iScience, 2023
Gao ZM, Xu T, Chen HG, Lu R, Tao J, Wang HB, Qiu JW, Wang Y.   +7 more
europepmc   +1 more source

Contrasting diversity patterns between microeukaryotic and prokaryotic communities in cold-seep sediments. [PDF]

ISME Commun
Xu Z, Chen J, Liang W, Chen ZL, Wu W, Xia X, Chen B, He D, Liu H.   +8 more
europepmc   +1 more source

LucaPCycle: Illuminating microbial phosphorus cycling in deep-sea cold seep sediments using protein language models. [PDF]

Nat Commun
Zhang C, He Y, Wang J, Chen T, Baltar F, Hu M, Liao J, Xiao X, Li ZR, Dong X.   +9 more
europepmc   +1 more source

<i>Bacillus haimaensis</i> sp. nov.: a novel cold seep-adapted bacterium with unique biosynthetic potential. [PDF]

Appl Environ Microbiol
Wang Y, Yang L, Wu W, Feng Z, He J, Guo C, He J.   +6 more
europepmc   +1 more source

Fossil Cold-seep Assemblages from Leyte, Philippines

Journal of Geography (Chigaku Zasshi), 2007
Ryuichi MAJIMA, Tomoki KASE, Shungo KAWAGATA, Yolanda M. AGUILAR, Kyoko HAGINO, Masao MAEDA   +5 more
openaire   +2 more sources

OSMAC-Driven Discovery of Six New Alkaloids from the Cold-Seep-Derived Fungus <i>Talaromyces amestolkiae</i> HDN21-0307. [PDF]

Mar Drugs
Huang X, Wu J, Zhou L, Wang Z, Che Q, Chen L, Wang W, Zhu T, Li D.   +8 more
europepmc   +1 more source

Microbial communities and metabolic functions vary with spatial heterogeneity in cold-seep carbonates. [PDF]

ISME Commun
Ma M, Wang M, Liang Y, Guo Y, Zhang H, Cao L, Fu L, Hu G, Li C, Mock T, Li C.   +10 more
europepmc   +1 more source

Predicting hydrocarbon presence in marine cold seep sediments using machine learning models trained with benthic bacterial 16S rRNA taxonomy. [PDF]

Microbiol Spectr
Khan R, Bhardwaj T, Li C, Chakraborty A, Seoane JM, Brooks JM, Bernard BB, MacDonald A, MacAdam N, Campbell C, Fowler M, Hubert CRJ.   +11 more
europepmc   +1 more source