Subterranean estuaries
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1255512 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR33325100_1.fastq.gz | Fastqsanger.gz | |||
| SRR33325100_2.fastq.gz | Fastqsanger.gz | |||
| SRR33325101_1.fastq.gz | Fastqsanger.gz | |||
| SRR33325101_2.fastq.gz | Fastqsanger.gz | |||
| SRR33325102_1.fastq.gz | Fastqsanger.gz |
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Project description:The repeated evolution of similar phenotypes in independent lineages often occurs in response to similar environmental pressures, through similar or different molecular pathways. Recently, a repeatedly occurring mutation R263Q in a conserved domain of the protein Cryptochrome-1 (CRY1) was reported in multiple species inhabiting subterranean environments. Cryptochromes regulate circadian rhythms, and glucose and lipid metabolism. Subterranean species show changes to their circadian rhythm and metabolic pathways, making it likely that this mutation in CRY1 contributes to adaptive phenotypic changes. To identify the functional consequences of the CRY1 R263Q mutation, we generated a mouse model homozygous for this mutation. Indirect calorimetry experiments revealed delayed locomotor activity, energy expenditure and feeding patterns of mutant mice in the dark phase, but no further metabolic phenotypes – unlike a full loss of function of CRY1. Gene expression analyses showed altered expression of several canonical circadian genes in the livers of the mutant mice, fortifying the notion that CRY1 R263Q impacts metabolism. Our data provide the first characterization of a novel mutation that has repeatedly evolved in subterranean environments, supporting the idea that shared environmental constraints can drive the evolution of similar phenotypes through similar genetic changes.
2025-07-23 | GSE277611 | GEO
Project description:Metagenomics based Gene catalogue of the Benthic microbial community in the Basque Estuaries
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Project description:The Formosan subterranean termite (Coptotermes formosanus) and the Asian subterranean termite (Coptotermes gestroi) are the most destructive termite pests in the world. Both species have spread to various regions worldwide with overlapping distributions in a few areas in which pre- and post-zygotic barriers against hybridization between the two species have been lifted. Although initial colony growth rates of hybrid colonies are similar to those of the parental species, colony growth appears to slow down in the hybrids after several years. Observations suggest that workers in hybrid colonies are slower to molt than those of the parental species, suggesting a disruption in this process. To understand the comprehensive gene expression profiles during the molting cycle of workers, differential gene expression profiles based on RNA-seq analysis were recorded for four mating combinations (2 conspecific workers and 2 heterospecific workers) at three different molting periods (pre-, post- and inter-molt). Many differentially expressed genes were identified between heterospecific and conspecific matings at each molting stage as well as within termite species among molting periods. We successfully identified molting-related genes by characterizing gene expression profiles of the parental species during the molting cycle conducting a time course analysis of transcriptome data. We then compared expression levels of these molting-related genes in the hybrids to identify genes that were over or under expressed compared to the parental species. Genes related to the molting cycle, muscle contraction, response to stress, and ecdysone metabolism were found to be under-expressed in hybrids relative to their parents. These differences will help elucidate the stability and fitness of hybrids between these two Coptotermes species. Moreover, identification of molting related genes in subterranean termites highlights the molecular pathways involved in the molting process in termites.
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Project description:Microbial communities along a subterranean estuary
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Project description:Spatiotemporal shift of T4-like phage community structure in three largest estuaries of China
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Project description:Subterranean estuaries (STEs) modulate the chemical composition of continental groundwater before it reaches the coast, but their microbial community is poorly known. Here, we explored the microbial ecology of two neighbouring, yet contrasting STEs (Panxón and Ladeira STEs; Ría de Vigo, NW Iberian Peninsula). We investigated microbial composition (16S rRNA gene sequencing), abundance, heterotrophic production and their geochemical drivers. A total of 10,150 OTUs and 59 phyla were retrieved from porewater sampled during four surveys covering each STE seepage face. In both STEs, we find a very diverse microbial community composed by abundant cosmopolitans and locally restricted rare taxa. Porewater oxygen and dissolved organic matter are the main environmental predictors of microbial community composition. More importantly, the high variety of benthic microbiota links to biogeochemical processes of different elements in STEs. The oxygen-rich Panxón beach showed strong associations of the ammonium oxidizing archaea Nitrosopumilales with the heterotrophic community, thus acting as a net source of nitrogen to the coast. On the other hand, the prevailing anoxic conditions of Ladeira beach promoted the dominance of anaerobic heterotrophs related to the degradation of complex and aromatic compounds, such as Dehalococcoidia and Desulfatiglans, and the co-occurrence of methane oxidizers and methanogens.
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Project description:Extinction models generally predict that coastal and neritic fauna benefit during sea-level rise (transgression), whereas sea-level retreat (regression) diminishes their suitable habitat area and promotes evolutionary bottlenecks. Sea-level change also impacts terrestrial island biogeography, but it remains a challenge to evidence how sea-level rise impacts aquatic island biogeography, especially in the subterranean realm. Karst subterranean estuaries (KSEs) occur globally on carbonate islands and platforms, and they are populated by globally-dispersed, ancient ecosystems (termed anchialine). Anchialine fauna currently exhibit a disjunct biogeography that cannot be completely explained by plate tectonic-imposed vicariance. Here we provide evidence that anchialine ecosystems can experience evolutionary bottlenecks caused by habitat reduction during transgression events. Marine-adapted anchialine fauna benefit from habitat expansion during transgressions, but fresh- and brackish-adapted fauna must emigrate, evolve to accommodate local habitat changes, or are regionally eliminated. Phanerozoic transgressions relative to long-term changes in subsidence and relief of regional lithology must be considered for explaining biogeography, evolution, local extirpation or complete extinction of anchialine fauna. Despite the omission of this entire category of environments and animals in climate change risk assessments, the results indicate that anchialine fauna on low-lying islands and platforms that depend upon meteoric groundwater are vulnerable to habitat changes caused by 21st century sea-level rise.
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Project description:Investigation of the bacterial communities that inhabit surface water of the Black Sea estuaries in Odessa region
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Project description:We performed RNAseq, metabolomics and pathway enrichment analysis on cardiac tissue from naked mole-rats (Heterocephalus glaber) and from seven other members of African mole rat genera, Cape mole-rat (Georychus capensis), Cape dune mole-rat (Bathyergus suillus), Common mole-rat (Cryptomys hottentotus hottentotus), Natal mole-rat (C. h. natalenesis), Mahali mole rat (C. h. mahali), Highveld mole-rat (C. h. pretoriae) and Damaraland mole-rats (Fukomys damarensis) representing differing burrow and soil types, degrees of sociality, lifespan and hypoxia tolerance. In addition, we include the evolutionarily highly divergent hottentot golden mole (Ambysomus hottentotus), an Afrotherian subterranean, solitary mammal, and the C57/BL6 laboratory mouse as a standard mammal control. After RNA sequencing, we removed the reads mapped to rRNAs and get rawdata, then we filtered the low quality reads (More than 20% of the bases qualities are lower than 10), reads with adaptors and reads with unknown bases (N bases more than 5%) to get the clean reads. These are the data uploaded.
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