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Biology subjects

Esteves, J.

Publications and source records attributed to Esteves, J..

2 recordsLinked to original sources

Selection history alters fitness across ecological interactions in a fly-parasitoid system

Species interactions shape ecological dynamics, but adaptation to one interaction can trade off with others. Experiments that measure such evolved fitness changes across multiple interactions remain rare. We used experimental evolution to test whether recent selection under one ecological interaction changes fitness under other interactions in a fly-parasitoid system. We evolved a genetically diverse Drosophila melanogaster population for 15-17 generations under three regimes: benign conditions (control), high intraspecific competition, and infection by the parasitoid wasp Leptopilina boulardi. We then measured fly fitness (egg-to-adult survival and subsequent reproduction) under benign conditions, high intraspecific competition, and infection by three other parasitoid species and an additional conspecific L. boulardi strain. Selection history strongly influenced fitness across interactions. Populations maintained under high larval density showed reduced survival under infection by L. boulardi and L. victoriae, indicating a trade-off between past selection for competition and defence against some parasitoids. Populations evolved under parasitoid infection by L. boulardi showed increased resistance to a conspecific strain but reduced fitness when infected by another species, L. heterotoma. Our results show that rapid evolution in response to a single interaction can reshape multiple ecological interactions through fitness trade-offs, highlighting how recent evolutionary history may influence community dynamics and invasion susceptibility.

evolutionary biology↗

Live Cell Lineage Tracing of Dormant Cancer Cells

Breast cancer is a leading cause of global cancer-related deaths, and metastasis is the overwhelming culprit of poor patient prognosis. The most nefarious aspect of metastasis is dormancy, a prolonged period between primary tumor resection and relapse. Current therapies are insufficient at killing dormant cells; thus, they can remain quiescent in the body for decades until eventually undergoing a phenotypic switch, resulting in metastases that are more adaptable and more drug resistant. Unfortunately, dormancy has few in vitro models, largely because lab-derived cell lines are highly proliferative. Existing models address tumor dormancy, not cellular dormancy, because tracking individual cells is technically challenging. To combat this problem, we adapted a live cell lineage approach to find and track individual dormant cells, distinguishing them from proliferative and dying cells over multiple days. We applied this approach across a range of different in vitro microenvironments. Our approach revealed that the proportion of cells that exhibited long-term quiescence was regulated by both cell intrinsic and extrinsic factors, with the most dormant cells found in 3D collagen gels. We hope this approach will prove useful to biologists and bioengineers in the dormancy community to identify, quantify, and study dormant tumor cells. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=173 SRC="FIGDIR/small/511405v1_ufig1.gif" ALT="Figure 1"> View larger version (52K): org.highwire.dtl.DTLVardef@5d0af9org.highwire.dtl.DTLVardef@7b7830org.highwire.dtl.DTLVardef@f9fc4org.highwire.dtl.DTLVardef@1c20a39_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioengineering↗