Biology subjects

Moreh, A.

Publications and source records attributed to Moreh, A..

3 recordsLinked to original sources

bioRxiv2025

Multi-omics time-series analysis in microbiome research: a systematic review

Recent developments in data generation have opened up unprecedented insights into living systems. It has been recognized that integrating and characterizing temporal variation simultaneously across multiple scales, from specific molecular interactions to entire ecosystems, is crucial for uncovering biological mechanisms and understanding the emergence of complex phenotypes. With the increasing number of studies incorporating multi-omics data sampled over time, it has become clear that integrated approaches are pivotal for these efforts. However, standard data analytical practices in longitudinal multi-omics are still shaping up and many of the available methods have not yet been widely evaluated and adopted. Thus, we performed a systematic literature review on data science methods for longitudinal multi-omics, with a particular focus on microbiome research.

bioinformatics↗

bioRxiv2025

Invaders' trophic position and their direct and indirect relationship influence on resident food webs

Many ecosystems are undergoing simultaneous colonization and spread of multiple alien species. Invaders often negatively affect communities by reducing population sizes of resident species or even decreasing community diversity through extinctions. Direct and indirect interactions between them can amplify or mitigate their impacts on native communities. In this study, we compare the effects of two invaders on the resident model food webs under two scenarios: separate versus simultaneous invasion. We examined the resident food webs response from two perspectives: the number of extinct species as a measure of diversity loss, and the net change in total biomass of the food web. Using dynamic simulations based on the Allometric Bioenergetic Model, we tracked these changes in silico and compared the results of the two scenarios. We examined how the invaders trophic positions relative to each other and their direct/indirect interactions influence the additive or non-additive nature of the outcomes of their co-invasion. Our results have corroborated previous field and experimental observations, showing that when co-occurring invaders occupy different trophic levels, their combined effects may be dampened if one invader preys on the other. Further, we have shown that the probability of synergistic effect increases when invaders form a trophic cascade or share a common predator. However, we have also shown that all of these relationships are influenced by i) the metric used to track changes in the resident community, ii) the trophic level at which the invasion occurs, and iii) whether the invader has a predator (either resident or another invader). HighlightsO_LIThe impact of a joint invasion on the resident community depends on the used metric C_LIO_LIAdditivity of the co-invasions impact is influenced by the invaders trophic position C_LIO_LIThe effects of the invaders direct/indirect interactions depend on the trophic level C_LIO_LIInvaders in top position have stronger effects than those of intermediate position C_LI

ecology↗

bioRxiv2024

Effects of joint invasion: how co-invaders affect each other's success in model food webs?

While there is considerable research on interactions between invasive and native species, as well as on the impact of invasive species on the resident community, less focus has been placed on exploring the relationship and interactions among invasive species themselves. Nevertheless, it is widely acknowledged that invasive species can have either positive or negative effects on one anothers success, in addition to neutral outcomes. In the present theoretical study, we compared the success of two invasive non-native species in two scenarios: when they invaded the resident food web separately and simultaneously. We investigated the correlations between their direct and indirect ecological relationships and the topological positions of them in the food web, with the varying outcomes of joint invasion. Using the allometric bioenergetic model (ABM) for dynamical simulations, we detected the success of invasion (presence or absence of invaders) and the direction of their biomass change comparing separated and simultaneous invasion scenarios. We studied the relationships among these variables after detailed numerical simulations with variable key parameters of the model. We found that direct and indirect ecological relationships between the two invaders are significantly modifies the invasion scenarios: the predator-prey relationship increases the probability of invasion success for both invaders, but the equilibrium biomass of at least one of them is more likely to be reduced than in separate invasions. The trophic cascade or competitive relationship between them during simultaneous invasion also affects their success rate, with the former having a positive effect and the latter a negative one. Further, we found that higher trophic level and lower betweenness centralities of the invaders reduces the likelihood of invasion success regardless of the presence or absence of another invasive species. The results of the study can be tested experimentally in micro- and mesocosms. HIGHLIGHTSO_LIIn a joint invasion, invaders can influence each others success C_LIO_LIPredator-prey relationships between invaders increase the joint invasion success C_LIO_LICompetition increases the failure of at least one invader C_LIO_LIThe trophic cascade between invaders increases the joint invasion success C_LIO_LIHigher trophic levels or lower betweenness centralities of the invaders increase the probability of unsuccessful joint invasion C_LI GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=140 SRC="FIGDIR/small/573872v1_ufig1.gif" ALT="Figure 1"> View larger version (63K): org.highwire.dtl.DTLVardef@1b3638eorg.highwire.dtl.DTLVardef@4d1f47org.highwire.dtl.DTLVardef@1409573org.highwire.dtl.DTLVardef@113dfd2_HPS_FORMAT_FIGEXP M_FIG C_FIG

ecology↗