Lipid biomarker patterns reflect different formation environments of mussel- and tubeworm-dominated seep carbonates from the Gulf of Mexico (Atwater Valley and Green Canyon)
Lipid biomarker patterns reflect different formation environments of mussel- and tubeworm-dominated seep carbonates from the Gulf of Mexico (Atwater Valley and Green Canyon)
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脂质生物标志物模式反映了墨西哥湾（阿特沃特谷和格林峡谷）以贻贝和管虫为主的渗透碳酸盐的不同形成环境
DOI：
10.1016/j.chemgeo.2018.12.005
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发表时间：
2019-02
期刊：
影响因子：
3.9
通讯作者：
Duofu Chen
中科院分区：
文献类型：
--
作者：
HongXiang Guan;Dong Feng;Daniel Birgel;Jörn Peckmann;Harry H.Roberts;Nengyou Wu;Duofu Chen
贻贝和管虫在许多甲烷渗漏处茁壮成长，通常与化学合成的主要是甲烷营养菌或硫营养菌共生。化学共生动物的活动可导致其栖息地沉积环境的巨大差异。在这里，我们提出的概念，这种环境变化可以存档在不同的，局部封闭的环境中形成的自生碳酸盐的脂质生物标志物库存在这种情况下，在渗漏，贻贝床和管虫灌木丛。为了验证这一假设，脂质生物标志物模式的贻贝和管虫环境的碳酸盐从两个渗漏点（阿特沃特谷340和绿色峡谷852）的墨西哥湾进行了分析。以前的工作揭示了更强的甲烷源和厌氧甲烷氧化古菌-2（ANME-2）/硫酸盐还原脱硫八叠球菌/脱硫球菌（DSS）财团的生物标志物之间的碳同位素分馏比ANME-1/DSS财团，都进行甲烷厌氧氧化（AOM）。相似的δ 13 C甲烷在贻贝和管虫网站从相同的渗漏和当地的微生物聚生体也似乎是很大程度上相似的基础上观察到的AOM生物标志物库存。然而，与AOM有关的硫酸盐还原菌（SRB）分子化石的δ 13 C值之间存在32‰的平均偏移，管虫碳酸盐的δ 13 C值低于贻贝碳酸盐。这种模式被解释为反映本地化共生后生动物在贻贝和管虫为主的网站造成的同位素分馏的影响。在管虫占主导地位的网站，过量的硫酸盐产生的管虫的硫营养共生体和泵入沉积物中的持续生产AOM衍生的碳酸氢盐和12 C的富集在次表层沉积物。有趣的是，管虫碳酸盐还含有大量的非异戊二烯二烷基甘油二醚（DAGE）与极端13 C耗尽，代表化合物，来自非DSS集群SRB。最有可能的是，13 C耗尽AOM衍生的有机中间体被DAGE生产非DSS集群SRB用作碳源，可能进行有机硫酸盐还原。我们的研究确定了墨西哥湾两个渗漏点贻贝和管虫碳酸盐之间的生物标志物模式的显着变化。这种变化可以表征不同的栖息地在渗漏，这是形化共生渗漏后生动物和它们的共生体与当地环境的相互作用。后生动物群落组成显然在很大程度上控制着渗漏生态系统中的地球生物学相互作用，这可能会使追踪到岩石记录的化学共生的影响。
Mussels and tubeworms thriving at many methane seeps typically live in symbiosis with chemosynthetic, chiefly methanotrophic or thiotrophic bacteria. It has been shown that the activities of chemosymbiotic animals can result in large differences in the sedimentary environments of their habitats. Here, we put forward the concept that such environmental variability can be archived in the lipid biomarker inventories of authigenic carbonates forming in different, locally confined environments at seeps, mussel beds and tubeworm bushes in this case. To test this hypothesis, lipid biomarker patterns of carbonates from mussel and tubeworm environments from two seep sites (Atwater Valley 340 and Green Canyon 852) of the Gulf of Mexico were analyzed. Previous work revealed stronger carbon isotope fractionation between the methane source and biomarkers of anaerobic methane oxidizing archaea-2 (ANME-2)/sulfate-reducingDesulfosarcina/Desulfococcus(DSS) consortia than for ANME-1/DSSconsortia, both performing anaerobic oxidation of methane (AOM). Similar δ13Cmethanevalues were found at the mussel and tubeworm sites from the same seeps and the local microbial consortia also appear to be largely similar based on the observed AOM biomarker inventories. Yet, a large average offset of 32‰ between the δ13C values of molecular fossils of sulfate-reducing bacteria (SRB) involved in AOM was observed, with lower values typifying tubeworm carbonates than mussel carbonates. This pattern is interpreted to reflect local effects on isotope fractionation caused by the chemosymbiotic metazoans at mussel- and tubeworm-dominated sites. At tubeworm-dominated sites, the excess sulfate produced by thiotrophic symbionts of tubeworms and pumped down into the sediment results in persistent production of AOM-derived bicarbonate and the enrichment of12C in sub-surface sediments. Interestingly, tubeworm carbonates also contain high amounts of non-isoprenoidal dialkyl glycerol diethers (DAGEs) with extreme13C depletions, representing compounds that derived from non-DSScluster SRB. Most likely,13C-depleted AOM-derived organic intermediates were used as carbon sources by the DAGE-producing non-DSScluster SRB, possibly performing organoclastic sulfate reduction. Our study identifies significant variation in biomarker patterns between mussel and tubeworm carbonates at two seep sites in the Gulf of Mexico. Such variation allows to characterize different habitats at seeps, which are shaped by the interaction of chemosymbiotic seep metazoans and their symbionts with the local environment. Metazoan community composition apparently controls geobiological interaction in seep ecosystems to a large degree, which may allow tracing of the effects of chemosymbiosis into the rock record.
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影响因子：
56.9
作者：
S. Cary;C. Fisher;H. Felbeck
通讯作者：
S. Cary;C. Fisher;H. Felbeck
影响因子：
4.9
作者：
B. Orcutt;C. Meile
通讯作者：
B. Orcutt;C. Meile
影响因子：
2.8
作者：
Dattagupta, Sharmishtha;Miles, Lara L.;Fisher, Charles R.
通讯作者：
Fisher, Charles R.
影响因子：
5
作者：
A. Stadnitskaia;D. Nadezhkin;B. Abbas;V. Blinova;M. Ivanov;J. Damsté
通讯作者：
A. Stadnitskaia;D. Nadezhkin;B. Abbas;V. Blinova;M. Ivanov;J. Damsté
影响因子：
3.7
作者：
Faure B;Schaeffer SW;Fisher CR
通讯作者：
Fisher CR