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Balakrishnan, R.

Publications and source records attributed to Balakrishnan, R..

At least 19 recordsLinked to original sources

Lesion-Gradient Mapping in Semantic Aphasia: Comparisons of Observed and Simulated Effects of Stroke on Connectivity Gradients

Post-stroke semantic aphasia is characterised by multimodal semantic deficits and reflects disruption of a distributed brain network spanning frontal and temporal regions. Connectivity gradients, which capture key dimensions of whole-brain variation in functional connectivity, offer a promising framework for understanding the global impact of stroke on brain function. This study investigated whether changes in connectivity gradients following stroke can explain semantic aphasia deficits. First, we evaluated whether lesion-location and lesion-load information from structural MRI could predict the gradient changes observed in resting-state fMRI, as a proof-of-principle analysis. Second, we tested whether simulated gradient changes predict the severity of semantic impairment. Results show that post-stroke gradient changes simulated from structural MRI are correlated with actual changes in resting-state fMRI, particularly for the principal gradient that separates unimodal and heteromodal regions. Semantic deficits were related to simulated connectivity changes along this gradient: left prefrontal areas involved in controlled semantic retrieval exhibited stronger connectivity to unimodal cortex in patients with more severe deficits. Semantic deficits also correlated with changes in the second gradient, which distinguishes visual and motor cortex. Particularly, the right parahippocampal gyrus, typically visually biased--showed reduced visual connectivity in more impaired patients. These results help explain controlled semantic retrieval deficits in semantic aphasia. More broadly, the findings suggest that functional connectivity gradients capture post-stroke reorganisation of global brain networks linked to cognitive impairment, and that these changes can be estimated from structural MRI alone, enhancing clinical utility of gradient-based approaches. HighlightsO_LIFunctional connectivity gradients explain the multimodal impairments in semantic aphasia from a dimensional perspective, using the unimodal-transmodal and motor-visual axes. C_LIO_LIPost-stroke functional changes are explored through alterations in connectivity gradient patterns. C_LIO_LICortical lesion information from structural MRI can be used to simulate changes in connectivity gradients, offering potential clinical relevance. C_LI

neuroscience↗

Reorganisation of Functional Connectivity Gradients in Post-Stroke Aphasia

Aphasia after stroke arises from focal damage to language-relevant cortex but is accompanied by widespread alterations in functional connectivity. In 60 stroke survivors, we related principal component-derived language scores to both lesion location and stroke-related changes in resting-state functional organisation, combining structural lesion-symptom mapping with a gradient-based approach. Structural lesion-symptom mapping identifies which damaged regions are associated with specific language impairments but does not capture how surviving cortex is reconfigured within the brains large-scale architecture. In contrast, lesion-gradient mapping characterises whole-brain connectivity gradients - data-driven axes that summarise the principal patterns of variation in cortical connectivity - and quantifies how behavioural variation relates to displacement of structurally intact regions along these intrinsic axes. Stroke was associated with altered positioning of cortical regions along the gradient separating default mode and control networks. Notably, the position of the left inferior frontal gyrus along this axis predicted dissociable language outcomes: displacement toward default mode connectivity patterns was associated with better speech but poorer writing performance. This opposing behavioural profile suggests that inferior frontal cortex contributes to language through flexible large-scale coupling, with distinct coupling regimes differentially supporting spoken and written production. These findings indicate that gradient-based mapping provides a mechanistic link between focal tissue damage and distributed behavioural consequences by revealing systematic reorganisation of macroscale functional architecture beyond the lesion site.

neuroscience↗

TAS1R3 is dually required for GTPase signaling in human islet β-cells and skeletal muscle cells

BackgroundTaste receptor type 1 member 3 (TAS1R3) is a class C G protein-coupled receptor (GPCR) traditionally associated with taste perception. While its role in insulin secretion is established, its contribution to skeletal muscle glucose uptake a process responsible for 70-80% of postprandial glucose disposal remains unclear. MethodsTAS1R3 expression was assessed in skeletal muscle biopsies from non-diabetic and type 2 diabetes (T2D) donors using qPCR and immunoblotting. Functional studies in human LHCN-M2 myotubes involved TAS1R3 inhibition with lactisole or siRNA-mediated knockdown, followed by measurement of insulin-stimulated glucose uptake using radiolabeled glucose assays. Rac1 activation and phospho-cofilin were analyzed by G-LISA and Western blotting, and Galphaq/11 involvement was tested using YM-254890. ResultsTAS1R3 mRNA and protein levels were significantly reduced in T2D skeletal muscle. Pharmacological inhibition or knockdown of TAS1R3 impaired insulin-stimulated glucose uptake in myotubes. ConclusionTAS1R3 regulates skeletal muscle glucose uptake through a non-canonical insulin signaling pathway involving Rac1 and phospho-cofilin, independent of IRS1-AKT and Galphaq/11 signaling. These findings identify TAS1R3 as a key determinant of Rac1-mediated glucose uptake and a potential therapeutic target for improving insulin sensitivity in T2D.

physiology↗

STX4 is indispensable for mitochondrial homeostasis in skeletal muscle

BackgroundMitochondrial homeostasis is vital for optimal skeletal muscle integrity. Mitochondrial quality control (MQC) mechanisms that are essential for maintaining proper functions of mitochondria include mitochondrial biogenesis, dynamics and mitophagy. Previously, Syntaxin 4 (STX4) traditionally considered a cell surface protein known for glucose uptake in skeletal muscle, was also identified at the outer mitochondrial membrane. STX4 enrichment was sufficient to reverse Type 2 diabetes-associated mitochondrial damage in skeletal muscle by inactivation of mitochondrial fission. However, whether STX4 could modulate skeletal muscle mitochondrial homeostasis through MQC mechanisms involving mitochondrial biogenesis or mitophagy remains to be determined. MethodsTo determine the requirements of STX4 in mitochondrial structure, function and MQC processes of biogenesis and mitophagy, we implemented our in-house generated inducible skeletal muscle-specific STX4-knockout (skmSTX4-iKO) mice (Stx4fl/fl; Tg(HSA-rtTA/TRE-Cre)/B6) and STX4-depleted immortalized L6.GLUT4myc myotubes via siRNA knockdown (siSTX4). ResultsWe found that non-obese skmSTX4-iKO male mice (>50% reduced STX4 abundance, Soleus and Gastrocnemius ***p<0.001, Tibialis anterior (TA) ****p<0.0001) developed insulin resistance (**p<0.01), together with reduced energy expenditure (AUC *p<0.05), respiratory exchange ratio (AUC **p<0.01), and grip strength (*p<0.05). STX4 ablation in muscle also impaired mitochondrial oxygen consumption rate (****p<0.0001). Mitochondrial morphological damage was heterogenous in STX4 depleted muscle, presenting with small fragmented mitochondria (****p<0.0001) and deceased electron transport chain (ETC) abundance (CI ***p<0.001, CII *p<0.05, CIV **p<0.01) in oxidative soleus muscle, while glycolytic TA fibers display enlarged swollen mitochondria (****p<0.0001) with no change in ETC abundance. Notably, >60% reduction of STX4 in siSTX4 L6.GLUT4myc myotubes (****p<0.0001) also decreased ETC abundance (CI ****p<0.0001, CII ****p<0.0001, CIV *p<0.05) without changes in mitochondrial glucose metabolism, as shown by [U-13C] glucose isotope tracing. For MQC, both skmSTX4-iKO male mice (*p<0.05) and siSTX4 L6.GLUT4myc myotubes (*p<0.05) showed decreased mitochondrial DNA levels alongside reduced mRNA expression of mitochondrial biogenesis genes Ppargc1a (PGC1-, *p<0.05) and Tfam (*p<0.05) in skmSTX4-iKO soleus muscle and PGC1- (mRNA *p<0.05, protein ***p<0.001), NRF1 (mRNA and protein *p<0.05) and Tfam (mRNA *p<0.05) in siSTX4 L6.GLUT4myc myotubes. Furthermore, live cell imaging using mt-Keima mitophagy biosensor in siSTX4 L6.GLUT4myc cells revealed significantly impaired mitochondrial turnover by mitophagy (*p<0.05) and mitochondria-lysosome colocalization (*p<0.05). STX4 depletion also reduced canonical mitophagy markers, PINK1 and PARKIN in both skmSTX4-iKO muscle (PARKIN *p<0.05, PINK1 **p<0.01) and siSTX4 L6.GLUT4myc myotubes (PARKIN ****p<0.0001, PINK1 *p<0.05). ConclusionsOur study demonstrated STX4 as a key mitochondrial regulator required for mitochondrial homeostasis in skeletal muscle.

cell biology↗

Acoustic individual identification in a species of field cricket using deep learning

Individual animal identification is essential for wildlife conservation and management, helping to estimate animal abundance and related parameters. We assessed the feasibility of identifying individual field crickets (Plebeiogryllus guttiventris) from their calls using deep learning. In a closed population of known individuals, the best models recognized crickets with up to 99.9% accuracy when trained and tested on calls from the same night, and 63.2% when tested on calls from nights not used in training. When matching pairs of calls, without knowledge of all individuals in the population, models identified pairs of calls from the same night with 97% accuracy, falling to 87.1% if calls were from different nights. Accuracy remained high when tested on individuals not observed during training (within night: 94.1%; across nights 78.8%). Pooling training data across multiple nights improved test accuracy for all models. Deep learning outperformed random forests, particularly on harder tasks, although both were able to discriminate individuals. Analysis of temperature effects on cricket calling behavior showed that higher temperatures were associated with shorter chirp durations and higher carrier frequencies. However, adjusting spectrograms for chirp duration alone, or for both duration and frequency, did not improve performance. The results are the first to demonstrate AIID using wild recordings of an insect species, and further highlight the potential of deep learning-based AIID for non-invasive monitoring of animal populations.

bioinformatics↗

Interpretable and Robust Machine Learning for Exploring and Classifying Soundscape Data

The adoption of machine learning in Passive Acoustic Monitoring (PAM) has improved prediction accuracy for tasks like species-specific call detection and habitat quality estimation. However, these models often lack interpretability, and PAM generates vast amounts of non-informative data, as soundscapes are typically information sparse. Here, we developed ecologically interpretable methods that accurately predict land use from audio while filtering unwanted data. Audio from habitats in Southern India (evergreen forests, deciduous forests, scrublands, grasslands) was collected and categorised by land use (reference, disturbed, and agriculture). We used Gaussian Mixture Models (GMMs) on top of a Convolutional Neural Network (CNN)-based feature extractor to predict land use. Thresholding based on likelihood values from GMMs improved model accuracy by excluding uninformative data, enabling our method to outperform models such as Random Forests and Support Vector Machines. By analysing areas of acoustic feature space driving predictions, we identified "keystone" soundscape elements for each land use, including both biotic and anthropogenic sources. Our approach provides a novel method for ecologically meaningful interpretation and exploration of large acoustic datasets independent of specific feature extractors. Our study paves the way for soundscape monitoring to deliver robust and trustworthy habitat assessments on scales that would not otherwise be possible.

ecology↗

Insulin-Independent Regulation of Type 1 Diabetes via Brown Adipocyte-Secreted Proteins and the Novel Glucagon Regulator Nidogen-2.

Current treatments for type 1 diabetes (T1D) focus on insulin replacement. We demonstrate the therapeutic potential of a secreted protein fraction from embryonic brown adipose tissue (BAT), independent of insulin. The large molecular weight secreted fraction mediates insulin receptor-dependent recovery of euglycemia in a T1D animal model, nonobese diabetic (NOD) mice, by suppressing glucagon secretion. This fraction also promotes white adipocyte differentiation and browning, maintains healthy BAT, and enhances glucose uptake in adipose tissue, skeletal muscle, and liver. From this fraction, we identify nidogen-2 as a critical BAT-secreted protein that reverses hyperglycemia in NOD mice, inhibits glucagon secretion from pancreatic -cells, and mimics other actions of the entire secreted fraction. These findings confirm that BAT transplants affect physiology and demonstrate that BAT-secreted peptides represent a novel therapeutic approach to diabetes management. Furthermore, our research reveals a novel signaling role for nidogen-2, beyond its traditional classification as an extracellular matrix protein. HIGHLIGHTSO_LIThe large molecular weight brown adipocyte-secreted protein fraction suppresses glucagon secretion and normalizes glycemia in mouse models of type 1 diabetes (T1D), independent of insulin, offering a novel therapeutic strategy for disease management. C_LIO_LINidogen-2, a critical component of this fraction, is identified as an inhibitor of glucagon secretion in pancreatic -cells by regulating intracellular messenger activities. C_LIO_LIThe large-secreted protein fraction prevents T1D-related whitening of brown adipose tissue, promotes adipocyte differentiation, and enhances browning of inguinal white adipose tissue. C_LIO_LIThis fraction enhances glucose uptake in adipose tissue, skeletal muscle, and liver through an insulin receptor-dependent pathway. C_LI

cell biology↗

Acoustic monitoring for tropical insect conservation

Monitoring the species-specific sounds produced by insects could provide us with a rapid, reliable, non-invasive measure of tropical ecosystem health and biodiversity. Although acoustic biodiversity monitoring has made rapid progress over the past decade, the focus has been mostly on vertebrates, even though insects far outnumber them, and tropical soundscapes are dominated by insect sounds. Here we provide an overview of song features for the major sound-producing insect groups, identify technological milestones and describe impediments for analyzing tropical soundscapes and insect communities. We review some promising best-practices using singing insects for non-invasive acoustic profiling and tracking of diversity in rainforest ecosystems under threat. We suggest a roadmap for joint research efforts to accelerate acoustic assessments of singing insects based on re-using the wealth of existing data from Passive Acoustic Monitoring (PAM) in combination with curated multimedia repositories and citizen science.

animal behavior and cognition↗

Spatial structure could explain the maintenance of alternative reproductive tactics in tree cricket males

Trait polymorphisms are widespread in nature, and explaining their stable co-existence is a central problem in ecology and evolution. Alternative reproductive tactics, in which individuals of one or more sex exhibit discrete, discontinuous traits in response to reproductive competition, represent a special case of trait polymorphism in which the traits are often complex, behavioural, and dynamic. Thus, studying how alternative reproductive tactics are maintained may provide general insights into how complex trait polymorphisms are maintained in populations. We construct a spatially explicit individual-based model inspired from extensively collected empirical data to address the mechanisms behind the co-existence of three behavioural alternative reproductive tactics in males of a tree cricket (Oecanthus henryi). Our results show that the co-existence of these tactics over ecological time scales is facilitated by the spatial structure of the landscape they inhabit, which serves to equalize the otherwise unequal mating benefits of the three tactics. We also show that this co-existence is unlikely if spatial aspects of the system are not considered. Our findings highlight the importance of spatial dynamics in understanding ecological and evolutionary processes and underscore the power of integrative approaches that combine models inspired from empirical data.

animal behavior and cognition↗

A trait-based understanding of the vulnerability of a paleotropical moth community to predation by a sympatric bat with flexible foraging strategies

O_LIPrey profitability for a predator hunting diverse prey varies with species and seasons. Whereas prey selection by aerial-hawking or gleaning bats is well established, this is challenging to establish in species that adopt both these strategies flexibly. Measurable prey traits coupled with availability in the foraging grounds help characterize the vulnerability of prey species to predation. C_LIO_LIIn the Western Ghats of India, a global biodiversity hotspot, we studied an anthropogenic landscape, where insectivorous bats are abundant and diverse, but their impact on moth communities is little understood. We investigated the morphological traits of a sympatric moth community that make them more vulnerable to predation by Megaderma spasma, a bat with flexible foraging strategies. We also established the seasonal composition of moth prey in the diet of the bat. C_LIO_LIWe analyzed the discarded prey remains from several roosts, collected over three years, for seasonal patterns in the diet and selective hunting. Through light-trapping, we collected moth specimens in different seasons to assess the morphological traits of the moth community available in the foraging area of the bat. C_LIO_LIThe traits likely to affect the profitability of prey moths were measured: forewing length, hindwing length, wingspan, and body length (a proxy for body size); forewing area, hindwing area, maneuverability, and wing loading (as a proxy for evasive flight capability), and forewing aspect ratio (as a proxy for wing shape). C_LIO_LIOur results showed that consumed moth prey diversity varies seasonally, with moths belonging to the Hepialidae family being preferred in the wet season. Moths belonging to the Sphingidae family were the most abundant in the diet, followed by Erebidae and Hepialidae. Sphingid moths have the lowest maneuverability, and highest forewing aspect ratio; the Hepialidae moths have the maximum body size followed by Sphingids thus confirming our hypothesis that larger moths with low evasive capabilities are more vulnerable to predation. C_LIO_LIAssessing vulnerability at the prey community level, we establish a framework for future research on moth-bat interactions from the diverse and less-explored paleotropical communities. Additionally, the study reiterates the usefulness of trait-based approaches to understanding prey-predator dynamics. C_LI

ecology↗

Sustained growth and rapid dispersal of chitin-associated marine bacteria

Many biogeochemical functions involve bacteria utilizing solid substrates. However, little is known about the coordination of bacterial growth with the kinetics of attachment to and detachment from such substrates. In this quantitative study of Vibrio sp. 1A01 growing on chitin particles, we reveal the heterogeneous nature of the exponentially growing culture, comprised of two co-existing subpopulations: a minority replicating on chitin particles and a non-replicating majority which was planktonic. This partition resulted from a high rate of cell detachment from particles. Despite high detachment, sustained exponential growth of cells on particles was enabled by the enrichment of extra-cellular chitinases excreted and left behind by detached cells. The "inheritance" of these chitinases sustains the colonizing subpopulation despite its reduced density. This simple mechanism helps to circumvent a tradeoff between growth and dispersal, allowing particle-associated marine heterotrophs to explore new habitats without compromising their fitness on the habitat they have already colonized.

microbiology↗

To call or not to call: Persistence of flexible alternative reproductive tactics in a tree cricket

Alternative reproductive tactics (ARTs) are discrete polymorphisms that help maximise reproductive success. Although flexible ARTs are ubiquitous, theoretical predictions for why flexible ARTs persist over evolutionary time have rarely been empirically tested. We hypothesised that flexible ARTs will persist if they have equal fitness benefits under a range of ecological contexts, or, there are trade-offs between ARTs in different ecological contexts and individuals display the most optimal phenotype in a context-dependent manner. Specifically, we investigated predation risk effects on the expression and fitness consequences of two flexible ARTs: acoustic signalling and being silent, expressed by tree cricket Oecanthus henryi males. In large outdoor enclosures, we exposed natural populations of O. henryi to three different abundances of their predator, the green lynx spider Peucetia viridans. Behavioural observations across successive nights revealed that higher predation risk did not alter the expression levels of the male ARTs, despite crickets experiencing differential risk and survival across treatments. Male crickets demonstrated an equal likelihood of calling or remaining silent on a night. ARTs resulted in similar mating success across differential predation risk, supporting the hypothesis that equal fitness benefits of flexible ARTs under a range of ecological contexts explain their persistence.

ecology↗

Cellular perception of growth rate and the mechanistic origin of bacterial growth laws

Bacteria organize many activities according to their grow rate via the ppGpp signaling system. Yet it is not clear how this signaling system "knows" how fast cells grow. Through quantitative experiments, we show that ppGpp responds inversely to the rate of translational elongation in E. coli. Together with its roles in inhibiting ribosome biogenesis and activity, ppGpp closes a key regulatory circuit that enables the cell to perceive and control the rate of its growth across conditions. The celebrated linear growth law relating the ribosome content and growth rate emerges as a consequence of keeping a supply of ribosome reserves while maintaining elongation rate in slow growth conditions. Further analysis suggests the elongation rate itself is detected by sensing the ratio of dwelling and translocating ribosomes, a strategy employed to collapse the complex, high-dimensional dynamics of the molecular processes underlying cell growth to perceive the physiological state of the whole.

systems biology↗

Principles of gene regulation quantitatively connect DNA to RNA and proteins in bacteria

Bacteria allocate their proteome to cellular functions differently in different growth conditions. It is largely unknown how such allocation arises from known mechanisms of gene regulation while constrained by limited translation capacity and fixed protein density. Here, we performed absolute transcriptomic and proteomic analysis for E. coli across many conditions, obtaining a plethora of results on promoters and mRNAs characteristics that clash with conventional expectations: the majority of mRNAs exhibit similar translational efficiencies, while the promoter strengths are vastly different across genes. These characteristics prescribe two principles of gene regulation guiding bacteria to attain the desired protein allocation under global constraints: Total transcriptional output is tightly coordinated with ribosomal activity, and the concentrations of individual proteins are largely set by transcription. These two principles lead to a quantitative formulation of Central Dogma which unravels the complex relationship between gene regulatory activities and mRNA/protein concentrations across conditions. The knowledge obtained will be invaluable for accurately inferring gene regulatory interactions from omics data, as well as for guiding the design of genetic circuits for synthetic biology applications in E. coli and other organisms.

systems biology↗

Suboptimal proteome allocation during changing environments constrains bacterial response and growth recovery

To sustain growth in fluctuating environments microbial organisms must respond appropriately. The response generally requires the synthesis of novel proteins, but this synthesis can be impeded due to the depletion of biosynthetic precursors when growth conditions vary. Microbes must thus devise effective response strategies to manage depleting precursors. To better understand these strategies, we here investigate the active response of Escherichia coli to changes in nutrient conditions, connecting transient gene-expression behavior to growth phenotypes. By synthetically modifying the gene expression during changing growth conditions, we show how the competition by genes for the limited protein synthesis capacity constrains the cellular response. Despite this constraint, cells substantially express genes that are not required, severely slowing down the response. These findings highlight that cells do not optimize growth and recovery in every encountered environment but rather exhibit hardwired response strategies that may have evolved to promote growth and fitness in their native environment and include the regulation of multiple genes. The constraint and the suboptimality of the cellular response uncovered in this study provides a conceptual framework relevant for many research applications, from the prediction of evolution and adaptation to the improvement of gene circuits in biotechnology.

microbiology↗

Synchrony of Non-isochronous Signals in an Acoustically Communicating Katydid

The ability to entrain to auditory stimuli has been a powerful method to investigate the comparative rhythm abilities of different animals. While synchrony to regular (isochronous) rhythms is well documented, synchrony to non-isochronous stimuli, with multiple components at unequal time intervals, is rarer. Several katydid species with isochronous calls have been shown to achieve synchrony as part of their natural calling interactions in multi-individual choruses. Yet no study so far has demonstrated synchrony in any insect with a non-isochronous call. Using natural calling behaviour and playback experiments, we investigated acoustic synchrony and the mechanisms underlying it in the katydid species Mecopoda Two Part Caller. This species has a complex non-isochronous call consisting of a long trill followed by two or more chirps. We found that individual males synchronized trills and, to a lesser extent, chirps. Further investigation of trill synchrony showed that timing of trills is modified by external trills but not chirps. Chirp synchrony is modified by external chirps but also by trills. We suggest a two-oscillator model underlying synchrony in this species and discuss the implications for the evolution of acoustic synchrony.

animal behavior and cognition↗

Baffling: A cheater strategy using self-made tools in tree crickets

Intense sexual selection in the form of mate choice can facilitate the evolution of different alternative reproductive strategies. These strategies can be condition-dependent, wherein genetically similar individuals express the strategy based on their condition. Our study shows that baffling, a mate attraction strategy using self-made acoustic amplifiers, employed by male tree crickets, is a classic example of a condition-dependent alternative strategy. We show that less preferred males, who are smaller or produce less loud calls, predominantly use this alternative strategy. Baffling allows these males to increase their call loudness and advertisement range, and attract a higher number of mates. Baffling also allows these males to deceive females into mating for longer durations with them. Our results suggest that the advantage of baffling in terms of sperm transfer is primarily limited to less preferred males, thus maintaining the polymorphism of calling strategies in the population. Impact statementThis study shows that less preferred tree cricket males use an alternative signaling strategy to call louder, thus attracting and mating with otherwise choosy females using deception.

evolutionary biology↗

Sex differences in alternative reproductive tactics in response to predation risk in tree crickets

Predation risk has been hypothesised to drive the evolution of alternative mate-search strategies, but few empirical studies have examined this. In crickets, mate-search involves acoustic signalling by males and acoustic-mediated movement by females. It is unclear whether predators affect fitness of both sexes directly, by reducing survival, or indirectly, by affecting mate-searching. We empirically examined effects of increased predation risk on mate-searching behaviour and survival of male and female tree crickets, and their effects on mating success, using field-enclosure experiments with tree crickets Oecanthus henryi and their primary predator, green lynx spiders, Peucetia viridans. Crickets were allocated into three treatments with differential levels of predation risk. Increased predation risk strongly reduced survival, and thereby mating success, for both sexes. With increasing predation risk, males reduced calling and increased movement towards neighbouring callers, which had negative effects on mating success. Using simulations, we found male movement was significantly directed towards other calling males implying a switch to satellite strategies. Female movement behaviour, however, remained unaltered. Males and females thus differed in their response to comparable levels of predation risk, showing that the role of predation as a driver of alternative mate search strategies is sex and strategy-specific.

ecology↗