Predicting the evolutionary dynamics of seasonal adaptation to novel climates in Arabidopsis thaliana.

Predicting whether and how populations will adapt to rapid climate change is a critical goal for evolutionary biology. To examine the genetic basis of fitness and predict adaptive evolution in novel climates with seasonal variation, we grew a diverse panel of the annual plant Arabidopsis thaliana (multiparent advanced generation intercross lines) in controlled conditions simulating four climates: a present-day reference climate, an increased-temperature climate, a winter-warming only climate, and a poleward-migration climate with increased photoperiod amplitude. In each climate, four successive seasonal cohorts experienced dynamic daily temperature and photoperiod variation over a year. We measured 12 traits and developed a genomic prediction model for fitness evolution in each seasonal environment. This model was used to simulate evolutionary trajectories of the base population over 50 y in each climate, as well as 100-y scenarios of gradual climate change following adaptation to a reference climate. Patterns of plastic and evolutionary fitness response varied across seasons and climates. The increased-temperature climate promoted genetic divergence of subpopulations across seasons, whereas in the winter-warming and poleward-migration climates, seasonal genetic differentiation was reduced. In silico "resurrection experiments" showed limited evolutionary rescue compared with the plastic response of fitness to seasonal climate change. The genetic basis of adaptation and, consequently, the dynamics of evolutionary change differed qualitatively among scenarios. Populations with fewer founding genotypes and populations with genetic diversity reduced by prior selection adapted less well to novel conditions, demonstrating that adaptation to rapid climate change requires the maintenance of sufficient standing variation.

Host Defense Proteins in Breast Milk and Neonatal Yeast Colonization.

BACKGROUND: Colonization increases risk for invasive candidiasis in neonates. Breast milk host defense proteins may affect yeast colonization of infants. OBJECTIVE: This study aimed to evaluate breast milk host defense proteins relative to yeast colonization in infants. METHODS: Infants admitted for longer than 72 hours to the neonatal intensive care unit at Women & Infants Hospital in Providence, Rhode Island, were eligible. After consent, expressed breast milk and swabs from oral, rectal, and inguinal sites from infants were cultured weekly for 12 weeks, or until discharge, transfer, or death. Breast milk was tested for levels of human lactoferrin, lysozyme, apolipoprotein J, mucin-1, dermcidin, and soluble CD14 using commercial ELISA. Concentrations of these components were compared in breast milk received by infants who were colonized or not colonized with yeast. RESULTS: From an original cohort of 130, 61 infants had samples available for this subanalysis. A convenience sample of stored breast milk was analyzed. Median lactoferrin, apolipoprotein J, and mucin-1 did not differ between colonized and uncolonized groups. Soluble CD14 was higher in the surface-colonized group (1.8 µg/mL, n = 12) compared with the surface-uncolonized group (1.6 µg/mL, n = 12, P = .02). Median lysozyme levels were higher in the surface-uncolonized group (483.0 ng/mL, n = 12) versus the surface-colonized group (298.3 ng/mL, n = 12, P = .04). Median dermcidin levels were higher in the surface-uncolonized group (19.4 ng/mL, n = 12) versus the surface-colonized group (8.7 ng/mL, n = 12, P = .04). CONCLUSION: This study shows an association between colonization with Candida in neonates and lower levels of lysozyme and dermcidin in received breast milk. Further study is needed to confirm these findings.