A business ecosystem is a community of multiple co-evolving actors with interdependent product offerings organized around a specific value proposition. While the extant literature focuses on these two structural elements of ecosystems that existed ex ante, we challenge this notion with our core discovery that ecosystem actors emerge in an ex post dynamic process. With a longitudinal qualitative study of the vertically disintegrated part of the Chinese mobile phone industry, we develop a two-dimensional process model of ecosystem emergence, namely the temporal dimension that delineates three processal stages of ecosystem emergence and the spatial dimension that highlights an architectural pattern of reciprocities between value chain and resource pool to enable the ecosystem emergence. We also offer inter-temporal enabling conditions during ecosystem evolution. These findings enable us to complement the ecosystem literature by elaborating the antecedents, outcomes, and enabling conditions of ecosystem emergence in relation to multiple types of ecosystem actors. We also shed light on the value chain (re-)configuring process which derives from the reciprocity between value chains and ecosystem resources.

The current study reports the identification of previously undiscovered single-nucleotide polymorphisms (SNPs) in the bovine AGPAT3 gene and further investigates their associations with milk production traits. Our results demonstrate that the major allele C of the SNP g.12264 C > T is positively correlated with test-day milk yield, protein percentage and 305-day milk yield. Importantly, in silico analysis showed that the C/T transition at this locus gives rise to two new transcription factor binding sites (TFBS), E2F1 and Nkx3-2. Polymorphism g.18658 G > A was the only SNP associated with milk urea nitrogen (MUN) with the G allele related to an increase in milk urea nitrogen as well as fat percentage. The GG genotype of SNP g.28731 A > G was associated with the highest fat and protein percentage and lowest 305-day milk yield and somatic cell score (SCS). The association between AGPAT3 locus and milk production traits could be utilized in marker-assisted selection for the genetic improvement of milk production traits and, probably in conjunction with other traits, for selection to improve fitness of dairy cattle.