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Biology subjects

Labadie, M.

Publications and source records attributed to Labadie, M..

3 recordsLinked to original sources

Listen, who is it? A novel method for studying the nightly and annual phenologies of cave bat communities in data deficient areas of the world.

ContextBats are the only mammals who have conquered the skies and the leading mammals in terms of total biomass with the exception of humans and domestic mammals. However, the ecology of many bat species is still unknown, especially in poorly sampled regions such as Central Africa. AimsWe present the first application of an acoustic method for studying the nocturnal activity patterns and annual phenology of bat activity of cave bat communities in regions where no bat acoustic classifier exists. MethodsIn two caves (Mont Belo and Boundou) in the Republic of Congo, which are home to several species of insectivorous bats throughout the year, we set up a passive acoustic monitoring (PAM) over a period of 19 months. To identify the massive recordings collected, we used a sonotype classifier. To assign a species name or species group to the different sonotypes identified by the classifier, we collected local reference calls by capturing bats at the cave entrances. This enabled us to identify two bat groups and three species despite the absence of local call libraries. The capture sessions also allowed us to collect information about the reproductive condition of the individuals, which we interpreted in relation to the annual phenology of bat activity. To quantify bat activity, we defined the activity of each acoustic group as the number of bat passes, where a bat pass corresponds to the detection of one or several echolocation calls within a five-second interval. This standardized measure allowed us to quantify nightly and seasonal variations in activity. Key resultsThe nightly activity displayed strong peaks in the evening and the morning, except during the long rainy season, when a tri- or quadri-modal activity was detected. This more evenly distributed activity throughout the night is related to the period of juvenile rearing (gestation, parturition and lactation). For all acoustic groups, we also observed a higher activity during the rainy seasons and the short dry season, compared to the long dry season. This high activity is linked to the lactation period, the independence of young bats and potentially the mating period. Finally, the reproductive activity of insectivorous bat species is synchronized with the period of high resource availability. ConclusionThis study represents the first long-term acoustic monitoring of cave bats in the Republic of Congo. This was allowed by the use of a classifier built without any pre-existing regional call data, highlighting a practical pathway for studying bat activity in other data-deficient regions. ImplicationsInformation about the biological status of individuals captured at the monitored caves in association with the cave annual activity phenology produced with this method are key to progress in the understanding of the ecology and the conservation issues of cave bat communities, which are particularly threatened globally.

ecology↗

The genetic architecture of fruit colour in strawberry (Fragaria x ananassa) uncovers the predominant contribution of the F. vesca subgenome to anthocyanins and reveals underlying genetic variations

Fruit colour, which is central to the sensorial and nutritional quality of the fruit, is a major breeding target in cultivated strawberry (Fragaria x ananassa). Red fruit colour is caused by the accumulation of anthocyanins, which are water-soluble flavonoids. Here, using pseudo F1 progeny derived from the cv. Capitola and the advanced line CF1116 and taking advantage of the available high density SNP array, we delineated fruit flavonoids mQTLs (13 compounds: anthocyanin, flavonols and flavan-3-ols) and colour-related QTLs (total anthocyanins and fruit colour) to narrow genomic regions corresponding to specific subgenomes of the cultivated strawberry. Findings showed that the overwhelming majority of the anthocyanin mQTLs and other colour-related QTLs are specific to F. vesca subgenome but that other subgenomes also contribute to colour variations. We then focused on two major homoeo-mQTLs for pelargonidin-3-glucoside (PgGs) localized on both male and female maps on linkage group LG3a (F. vesca subgenome). Combined high-resolution mapping of PgGs mQTLs and colour QTLs, transcriptome analysis of selected progeny individuals and whole genome sequencing of the parents led to the identification of several INDELS in the cis-regulatory region of a MYB102-like ODORANT gene and of the deletion of a putative MADS box binding motif in the 5UTR upstream region of an anthocyanidin reductase (ANR) gene, which likely underlie significant colour variations in strawberry fruit. The implications of these findings are important for the functional analysis and genetic engineering of colour-related genes and for the breeding by Marker-Assisted-Selection of new strawberry varieties with improved colour and health-benefits.

genetics↗

Metabolite Quantitative Trait Loci for flavonoids provide new insights into the genetic architecture of strawberry (Fragaria x ananassa) fruit quality

Flavonoids are products from specialized metabolism that contribute to fruit sensorial (colour) and nutritional (antioxidant properties) quality. Here, using a pseudo full-sibling F1 progeny previously studied for fruit sensorial quality of cultivated strawberry (Fragaria x ananassa), we explored over two successive years the genetic architecture of flavonoid-related traits using LC-ESI-MS (13 compounds including anthocyanins, flavonols and flavan-3-ols) and colorimetric assays (anthocyanins, flavonoids, phenolics, FRAP and TEAC antioxidant capacity). Network correlation analysis highlighted the high connectivity of flavonoid compounds within each chemical class and low correlation with colorimetric traits except anthocyanins. Mapping onto the female and male linkage maps of 152 flavonoid metabolic QTLs (mQTLs) and of 26 colorimetric QTLs indicated co-localization on few linkage groups of major flavonoid- and taste-related QTLs previously uncovered. These results pave the way for the discovery of genetic variations underlying flavonoid mQTLs and for marker-assisted selection of strawberry varieties with improved sensorial and nutritional quality.

genetics↗