12 research outputs found

    Early changes in Orthopteran assemblages after grassland restoration : a comparison of space-for-time substitution versus repeated-measures monitoring

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    Grasslands harbour significant biodiversity and their restoration is a common intervention in biodiversity conservation. However, we know very little on how grassland restoration influences arthropod groups. Here we compared orthopteran assemblages in croplands, natural grasslands and one to four-year-old grasslands restored in a large-scale restoration on former croplands in Hortobágy National Park (E-Hungary). Sampling was done by standardized sweep-netting both in a repeated measures design and space-for-time substitution (chronosequence) design. General linear models with repeated measures from five years showed that species richness, abundance and Shannon diversity of orthopterans decreased in the year following restoration but increased afterwards. By the fourth year, species richness almost doubled and abundance increased almost ten-fold in restored grasslands compared to croplands. Multivariate analyses showed that species composition in the first two years did not progress much but by the third and fourth year there was partial overlap with natural grasslands. Local restoration conditions (last crop, seed mixture) and landscape configuration (proportion of natural grasslands < 1 km away) did not influence the above patterns in either the repeated measures or the chronosequence design, whereas time since restoration affected almost all community variables. Our results suggest that generalist ubiquitous species appeared in restored grasslands first and the more sensitive species colonized the restored fields gradually in later years. The qualitative and quantitative properties of the orthopteran assemblages in restored fields did not yet reach those of natural grasslands, therefore, our study suggests that the full regeneration of the orthopteran assemblages takes more than four years

    Methanogen Genes and the Molecular Biology of Methane Biosynthesis

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    Exploring the bioactive landscape of the gut microbiota to identify metabolites underpinning human health

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    The healthy human gut is colonised by a diverse microbial community (gut microbiota) that provides a variety of ecological and metabolic functions relevant to host health and well-being. Our early understanding and appreciation of the functional capacity of the microbiota was primarily informed by culture-dependent analyses. However, it is now known that the vast majority of gut microbes are resistant to cultivation and remain unrepresented by cultured isolates. Consequently, much of our current awareness of the true biological potential inherent to these communities has been provided by culture-independent (meta)genomic approaches which have revealed that the genetic potential of the gut microbiota is as much as 150 times greater than that of the human genome itself. Despite these advances it is now increasingly accepted that efforts to dissect the functionalities encoded in the human microbiome have not kept pace with DNA sequencing based technologies. For instance, the microbiome encodes a plethora of bioactive peptides and metabolites that affect host health, however, the function(s), mechanism(s) of action and the genetic and regulatory networks underpinning these bioactives remain largely cryptic. Here, we explore the NF-?B suppressive bioactive landscape of the gut microbiota-in particular, we provide an overview of our current understanding of the gut microbiota and propose the integration of new culture-dependent approaches with improved screening, metabolomic and genetic strategies offers new opportunities to identify novel bioactives, and elucidate the relationship between the gut microbiota associated metabolome and host health
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