Behavioral Ecology: Ecological Aspects of Social Evolution.

Science ◽  
1987 ◽  
Vol 236 (4800) ◽  
pp. 470-470 ◽  
Author(s):  
S. N. AUSTAD
Author(s):  
Brooke Ganser ◽  
Darrell Latham ◽  
Hongmei Li-Byarlay

Honeybees as important managed pollinators are critical for sustainable agriculture and ecosystem. Nucleic acid based analysis including DNA and RNA enabled broader scope of research in functional genomics, disease diagnostics, mutant screening, and genetic breeding of honeybees. Next Generation Sequencing technologies have served as great tools to provide insights into genome biology, behavioral ecology, social evolution, and pollinator disease. Epigenetic marks such as CpG DNA methylation may regulate gene activities in the invertebrate genome. However, transcriptomic analysis via RNA-seq is also needed to study the role of DNA methylation in gene expression and regulation. Multiple levels of “omics” studies will be able to integrate genomic variation, transcriptomic profiles, and epigenomic information to elaborate mechanistic characteristics underlying phenotypic variation. One limitation may due to the sample preparation procedures to obtain high quality of DNA and RNA material. We demonstrated an undescribed method for dual extractions of the DNA and RNA from a single individual, and compared the column-based kit to the precipitation kit for the quality and quantity of the DNA and RNA molecules. Our study showed the precipitation based method yield high quantity of RNA but not for DNA. The column-based method may obtain high quality of DNA. Our findings provided the first standard method of dual extraction of nucleic acids for improving sequencing experiments and genomic studies in honeybees.


2021 ◽  
Author(s):  
Eli Strauss ◽  
Daizaburo Shizuka

Individuals vary in their access to resources, social connections, and phenotypic traits, and a central goal of behavioral ecology is to understand how this variation influences reproductive success and longevity. Parallel research on human societies has focused on the causes and consequences of variation in material possessions, opportunity, and health among individuals. At the core in both fields of study is that unequal distribution of benefits is an important component of social structure, but an explicit study of inequality is largely missing from evolutionary biology and ecology. Here we advance a research framework and agenda for studying inequality within an ecological and evolutionary context, drawing upon work in the human-oriented literature where applicable. We present four broad arguments for the ecological study of inequality: (1) wealth and inequality are taxonomically broad features of societies, (2) feedback loops link inequality to individual and societal outcomes, (3) very little is known about what makes some societies more unequal than others, and (4) inequality is dynamic, and these dynamics are relevant for social evolution. We hope that this framework will motivate a cohesive interdisciplinary approach to understanding inequality as a widespread and diverse biological phenomenon.


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