化学岩石自养有机质对滤食性食物网的贡献

Hannah Rigoni, Helena Bilandžija, Annette Summers Engel
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Chemolithoautotrophic contributions are less understood for most groundwater and cave ecosystems, especially from ecosystems dominated by sessile filter-feeders that cannot easily move to search for food. Our study focuses on uncovering the microbiology and organic matter contributions in Croatian Dinaric Karst caves, specifically in the Neretva and Lika River basins, that contain the only subterranean serpulid tube worm, Marifugia cavatica, the only known cave-adapted freshwater bivalves, Congeria kusceri and Congeria jalzici , and stygobitic and stygophilic sponges, Eunapius subterraneus and Ephydatia fluviatilis , respectively. Methods We collected surface water, invertebrates, and representative examples of surface organic matter, as well as subsurface water, stygobionts, biofilms, and sediments from Pukotina u Tunelu Polje Jezero in the Neretva River basin and Markov Ponor and Susik Ponor in the Lika River basin. To evaluate microbial communities, 16S rRNA genes were sequenced, analyzed using mothur to obtain operational taxonomic units (OTUs) at 99% sequence similarity, and classified with the SILVA v138.1 reference database. We used the program FAPROTAX and recently published literature to identify putative metabolisms for OTUs, focusing on identifying chemolithoautotrophic functions. We measured stable carbon (δ 13 C) and nitrogen (δ 15 N) isotope compositions to assess potential food sources for the stygobionts from surface and subsurface materials. We compared microbial community diversity among caves and sample types using non-metric multidimensional scaling (NMDS) on a Bray-Curtis dissimilarity matrix of rarefied presence/absence data. Analysis of similarity (ANOSIM) on the dissimilarity matrix was used to compare sample type and cave. Welch's t-test was used to compare differences in isotopic composition between surface and caves, and Kruskal-Wallis was used to compare differences among caves. Markov Chain Monte Carlo simulations were employed using mixSIAR v3.1.12, with a chain length of 100000, to calculate the contribution of food sources using a diet tissue discrimination factor of δ 13 C=1.2±0.39‰ and δ 15 N=4±0.18‰. All analyses were performed in R using vegan (v. 2.6.4) and stats (v. 4.2) packages. Results and Discussion Microbial community composition varied significantly among sample types in each cave (ANOSIM; R=0.74, p<0.005) but weakly among caves and the surface (ANOSIM; R=0.19, p=0.019, Fig. 1a). Putative chemolithoautotrophs included methylotrophs, dissimilatory nitrate-reducers, sulfur-compound-oxidizers, and hydrogen-oxidizers (Fig. 1b). Nitrospirales comprised 2.4% to 10.7% of the biofilms but ≤ 0.2% in water. In Markov Ponor and Susik Ponor, putative methylotrophs (order Methylococcales) comprised 14.0% to 28.3% of the sequence reads in water and 1.2% to 38.7% of reads from biofilms and sediment (Fig. 1b). We hypothesized that isotopic compositions of filter-feeding stygobiont tissues would point to diets that relied on chemolithoautotrophic carbon. δ 13 C values for dissolved organic carbon in the caves were statistically similar to those of surface water, at -23.9±1.7‰ (n=9), as was dissolved inorganic carbon, at -6.4±2.9‰ (n=8). δ 15 N values from the cave water ranged from 4.7‰ to 13.9‰, whereas δ 15 N values from the surface was 9.6‰. Cave biofilm δ 13 C and δ 15 N values ranged, respectively, from -29.8‰ to -27.2‰ (average -28.6‰, n=22) and 3.0‰ to 8.2‰ (average 5.8‰, n=20). In contrast, photosynthetic organic matter from the surface ranged from δ 13 C of -45.7‰ to -17.0‰ and δ 15 N from 2.4‰ to 6.9‰. Surface invertebrates ranged from δ 13 C of -32.7‰ to -19.0‰ and δ 15 N of 1.1‰ to 7.5‰. M. cavatica tissues from the two river basins did not vary significantly, ranging from δ 13 C of -32‰ to -33‰, but δ 15 N varied significantly (Welch's t-test p<0.005). The isotopic compositions of Congeria spp. and the sponges varied significantly between the two river basins. Different chemolithoautotrophic pathways have the potential to discriminate against 13 C by up to 35‰ or more and 15 N from 0‰ to 18‰. Contributions from such fractionation values were evident in biofilm and stygobiont δ 13 C values compared to surface organic matter δ 13 C values. Preliminary mixing model results suggest that allochthonous organic matter contributed to most of the stygobionts' diet, likely due to high flow and input rates during the rainy season prior to collection. However, chemolithoautotrophically-produced organic matter could contribute up to 10% of some stygobiont diets, depending on the stygobiont and cave system (Fig. 1c). As such, there is potential that in situ chemolithoautotrophically-produced organic matter could serve as a small dietary buffer for sessile stygobionts during changes in surface conditions that affect the water supply and nutrient input. 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The amount of organic matter entering the subsurface is usually low, resulting in oligotrophic conditions and food scarcity that affect community members' dispersal and colonization patterns. In situ, chemolithoautotrophically-produced organic matter has the potential to supplement organic matter pools in the subsurface, especially if the surface and subsurface are hydrologically disconnected. Chemolithoautotrophic contributions are less understood for most groundwater and cave ecosystems, especially from ecosystems dominated by sessile filter-feeders that cannot easily move to search for food. Our study focuses on uncovering the microbiology and organic matter contributions in Croatian Dinaric Karst caves, specifically in the Neretva and Lika River basins, that contain the only subterranean serpulid tube worm, Marifugia cavatica, the only known cave-adapted freshwater bivalves, Congeria kusceri and Congeria jalzici , and stygobitic and stygophilic sponges, Eunapius subterraneus and Ephydatia fluviatilis , respectively. Methods We collected surface water, invertebrates, and representative examples of surface organic matter, as well as subsurface water, stygobionts, biofilms, and sediments from Pukotina u Tunelu Polje Jezero in the Neretva River basin and Markov Ponor and Susik Ponor in the Lika River basin. To evaluate microbial communities, 16S rRNA genes were sequenced, analyzed using mothur to obtain operational taxonomic units (OTUs) at 99% sequence similarity, and classified with the SILVA v138.1 reference database. We used the program FAPROTAX and recently published literature to identify putative metabolisms for OTUs, focusing on identifying chemolithoautotrophic functions. We measured stable carbon (δ 13 C) and nitrogen (δ 15 N) isotope compositions to assess potential food sources for the stygobionts from surface and subsurface materials. We compared microbial community diversity among caves and sample types using non-metric multidimensional scaling (NMDS) on a Bray-Curtis dissimilarity matrix of rarefied presence/absence data. Analysis of similarity (ANOSIM) on the dissimilarity matrix was used to compare sample type and cave. Welch's t-test was used to compare differences in isotopic composition between surface and caves, and Kruskal-Wallis was used to compare differences among caves. Markov Chain Monte Carlo simulations were employed using mixSIAR v3.1.12, with a chain length of 100000, to calculate the contribution of food sources using a diet tissue discrimination factor of δ 13 C=1.2±0.39‰ and δ 15 N=4±0.18‰. All analyses were performed in R using vegan (v. 2.6.4) and stats (v. 4.2) packages. Results and Discussion Microbial community composition varied significantly among sample types in each cave (ANOSIM; R=0.74, p<0.005) but weakly among caves and the surface (ANOSIM; R=0.19, p=0.019, Fig. 1a). Putative chemolithoautotrophs included methylotrophs, dissimilatory nitrate-reducers, sulfur-compound-oxidizers, and hydrogen-oxidizers (Fig. 1b). Nitrospirales comprised 2.4% to 10.7% of the biofilms but ≤ 0.2% in water. In Markov Ponor and Susik Ponor, putative methylotrophs (order Methylococcales) comprised 14.0% to 28.3% of the sequence reads in water and 1.2% to 38.7% of reads from biofilms and sediment (Fig. 1b). 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引用次数: 0

摘要

大多数地下水和洞穴生态系统依赖于外来的、来自地表的有机物的流入,这些有机物来自于通过上覆岩石和土壤的漫流,或来自地表流入天坑或入口的局部水流。进入地下的有机物量通常很低,导致营养不良和食物短缺,影响群落成员的扩散和殖民模式。在原地,化学岩石自养产生的有机质有可能补充地下的有机质库,特别是在地表和地下水文不连通的情况下。对于大多数地下水和洞穴生态系统,特别是那些由不能轻易移动寻找食物的固定式滤食性生物主导的生态系统,人们对化学岩石自养的贡献知之甚少。本研究的重点是揭示克罗地亚Dinaric溶洞的微生物学和有机质贡献,特别是在Neretva和Lika河流域,其中包含唯一的地下蛇形管虫Marifugia cavatica,已知的唯一适应洞穴的淡水双壳类动物Congeria kusceri和Congeria jalzici,以及粘虫和亲粘海绵Eunapius subterraneus和Ephydatia fluviatilis。方法采集neetva河流域的Pukotina u Tunelu Polje Jezero、Lika河流域的Markov Ponor和Susik Ponor的地表水、无脊椎动物、代表性的表层有机质、地下水、浮游生物、生物膜和沉积物。为了评价微生物群落,对16S rRNA基因进行测序,利用母体分析获得99%序列相似度的操作分类单位(OTUs),并使用SILVA v138.1参考数据库进行分类。我们使用FAPROTAX程序和最近发表的文献来确定OTUs的推定代谢,重点是确定化学石自养功能。我们通过测量地表和地下物质中稳定碳(δ 13c)和氮(δ 15n)同位素组成来评估其潜在的食物来源。采用非度量多维尺度(NMDS)对稀疏存在/缺失数据的Bray-Curtis不相似矩阵进行了比较。采用差异性矩阵相似性分析(ANOSIM)对样品类型和溶洞进行比较。采用Welch’st检验比较地表与洞穴之间的同位素组成差异,采用Kruskal-Wallis检验比较洞穴之间的差异。采用链长100000的mixSIAR v3.1.12进行马尔可夫链蒙特卡罗模拟,选取δ 13c =1.2±0.39‰,δ 15n =4±0.18‰的饮食组织判别因子,计算食物来源的贡献。所有分析均使用vegan (v. 2.6.4)和stats (v. 4.2)软件包在R中进行。各岩洞样品类型间微生物群落组成差异显著(ANOSIM;R=0.74, p<0.005),但在洞穴和地表之间较弱(ANOSIM;R=0.19, p=0.019,图1a)。假定的化能化石自养生物包括甲基营养物、异化硝酸盐还原剂、硫化合物氧化剂和氢氧化剂(图1b)。硝化螺旋菌占生物膜的2.4% ~ 10.7%,但在水中≤0.2%。在Markov Ponor和Susik Ponor中,假定的甲基营养体(甲基球菌目)占水中序列读数的14.0%至28.3%,占生物膜和沉积物序列读数的1.2%至38.7%(图1b)。我们假设滤食性海绵生物组织的同位素组成将指向依赖于化学岩石自养碳的饮食。溶洞中溶解有机碳的δ 13 C值与地表水的δ 13 C值具有统计学上的相似性,分别为-23.9±1.7‰(n=9)和-6.4±2.9‰(n=8)。洞水δ 15 N值为4.7‰~ 13.9‰,地表δ 15 N值为9.6‰。洞穴生物膜δ 13c和δ 15n值分别为-29.8‰~ -27.2‰(平均-28.6‰,N =22)和3.0‰~ 8.2‰(平均5.8‰,N =20)。地表光合有机质δ 13c值为-45.7‰~ -17.0‰,δ 15n值为2.4‰~ 6.9‰。表层无脊椎动物δ 13c值为-32.7‰~ -19.0‰,δ 15n值为1.1‰~ 7.5‰。两河流域cavatica组织的δ 13c变化范围为-32‰~ -33‰,δ 15n变化显著(Welch’st检验p<0.005)。在两河流域,苍鹭属和海绵的同位素组成差异显著。不同的化学岩石自养途径对13c的差异可达35‰或更高,对15n的差异可达0‰至18‰。与表面有机质δ 13c值相比,这种分馏值对生物膜和菌体δ 13c值的贡献明显。
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Chemolithoautotrophic Organic Matter Contributions to Subterranean Food Webs Dominated by Filter-feeders
Introduction Most groundwater and cave ecosystems depend on an influx of allochthonous, surface-derived organic matter sourced by diffuse flow through overlying rock and soil or by localized flow from the surface into sinkholes or entrances. The amount of organic matter entering the subsurface is usually low, resulting in oligotrophic conditions and food scarcity that affect community members' dispersal and colonization patterns. In situ, chemolithoautotrophically-produced organic matter has the potential to supplement organic matter pools in the subsurface, especially if the surface and subsurface are hydrologically disconnected. Chemolithoautotrophic contributions are less understood for most groundwater and cave ecosystems, especially from ecosystems dominated by sessile filter-feeders that cannot easily move to search for food. Our study focuses on uncovering the microbiology and organic matter contributions in Croatian Dinaric Karst caves, specifically in the Neretva and Lika River basins, that contain the only subterranean serpulid tube worm, Marifugia cavatica, the only known cave-adapted freshwater bivalves, Congeria kusceri and Congeria jalzici , and stygobitic and stygophilic sponges, Eunapius subterraneus and Ephydatia fluviatilis , respectively. Methods We collected surface water, invertebrates, and representative examples of surface organic matter, as well as subsurface water, stygobionts, biofilms, and sediments from Pukotina u Tunelu Polje Jezero in the Neretva River basin and Markov Ponor and Susik Ponor in the Lika River basin. To evaluate microbial communities, 16S rRNA genes were sequenced, analyzed using mothur to obtain operational taxonomic units (OTUs) at 99% sequence similarity, and classified with the SILVA v138.1 reference database. We used the program FAPROTAX and recently published literature to identify putative metabolisms for OTUs, focusing on identifying chemolithoautotrophic functions. We measured stable carbon (δ 13 C) and nitrogen (δ 15 N) isotope compositions to assess potential food sources for the stygobionts from surface and subsurface materials. We compared microbial community diversity among caves and sample types using non-metric multidimensional scaling (NMDS) on a Bray-Curtis dissimilarity matrix of rarefied presence/absence data. Analysis of similarity (ANOSIM) on the dissimilarity matrix was used to compare sample type and cave. Welch's t-test was used to compare differences in isotopic composition between surface and caves, and Kruskal-Wallis was used to compare differences among caves. Markov Chain Monte Carlo simulations were employed using mixSIAR v3.1.12, with a chain length of 100000, to calculate the contribution of food sources using a diet tissue discrimination factor of δ 13 C=1.2±0.39‰ and δ 15 N=4±0.18‰. All analyses were performed in R using vegan (v. 2.6.4) and stats (v. 4.2) packages. Results and Discussion Microbial community composition varied significantly among sample types in each cave (ANOSIM; R=0.74, p<0.005) but weakly among caves and the surface (ANOSIM; R=0.19, p=0.019, Fig. 1a). Putative chemolithoautotrophs included methylotrophs, dissimilatory nitrate-reducers, sulfur-compound-oxidizers, and hydrogen-oxidizers (Fig. 1b). Nitrospirales comprised 2.4% to 10.7% of the biofilms but ≤ 0.2% in water. In Markov Ponor and Susik Ponor, putative methylotrophs (order Methylococcales) comprised 14.0% to 28.3% of the sequence reads in water and 1.2% to 38.7% of reads from biofilms and sediment (Fig. 1b). We hypothesized that isotopic compositions of filter-feeding stygobiont tissues would point to diets that relied on chemolithoautotrophic carbon. δ 13 C values for dissolved organic carbon in the caves were statistically similar to those of surface water, at -23.9±1.7‰ (n=9), as was dissolved inorganic carbon, at -6.4±2.9‰ (n=8). δ 15 N values from the cave water ranged from 4.7‰ to 13.9‰, whereas δ 15 N values from the surface was 9.6‰. Cave biofilm δ 13 C and δ 15 N values ranged, respectively, from -29.8‰ to -27.2‰ (average -28.6‰, n=22) and 3.0‰ to 8.2‰ (average 5.8‰, n=20). In contrast, photosynthetic organic matter from the surface ranged from δ 13 C of -45.7‰ to -17.0‰ and δ 15 N from 2.4‰ to 6.9‰. Surface invertebrates ranged from δ 13 C of -32.7‰ to -19.0‰ and δ 15 N of 1.1‰ to 7.5‰. M. cavatica tissues from the two river basins did not vary significantly, ranging from δ 13 C of -32‰ to -33‰, but δ 15 N varied significantly (Welch's t-test p<0.005). The isotopic compositions of Congeria spp. and the sponges varied significantly between the two river basins. Different chemolithoautotrophic pathways have the potential to discriminate against 13 C by up to 35‰ or more and 15 N from 0‰ to 18‰. Contributions from such fractionation values were evident in biofilm and stygobiont δ 13 C values compared to surface organic matter δ 13 C values. Preliminary mixing model results suggest that allochthonous organic matter contributed to most of the stygobionts' diet, likely due to high flow and input rates during the rainy season prior to collection. However, chemolithoautotrophically-produced organic matter could contribute up to 10% of some stygobiont diets, depending on the stygobiont and cave system (Fig. 1c). As such, there is potential that in situ chemolithoautotrophically-produced organic matter could serve as a small dietary buffer for sessile stygobionts during changes in surface conditions that affect the water supply and nutrient input. This research has implications for understanding the microbial ecology and diversity of Croatian karst that support endemic fauna and should motivate efforts to protect the watersheds associated with their habitats.
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