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ABSTRACT While many plant lineages display remarkable diversity in morphological form, our understanding of how phenotypic diversity, or disparity, arises in relation to genomic evolution over geologic scales remains poorly understood. Here, we investigated the relationship between phenotypic and genomic evolution in the Fagales, a lineage of woody plants that has been a dominant component of temperate and subtropical forests since the Late Cretaceous. We examine newly generated transcriptomic and trait datasets representing most extant genera and a rich diversity of Cretaceous fossil representatives. Our phylogenomic analyses identify recurrent hotspots of gene duplication and genomic conflict across the order. Our phenotypic analyses showed that the morphospace occupied by Fagales was largely filled by the early Cenozoic, and rates of evolution were highest during the early radiation of the Fagales crown and its major families. These results suggest that Fagales conforms to an “early‐burst” model of disparification, with morphospace being filled early in the order's diversification history, and that elevated levels of phenotypic evolution also often correspond to hotspots of gene duplication. Species diversification appears decoupled from patterns of both phenotypic and genomic evolution, highlighting the multidimensional nature of the evolution of plant diversity across geological timescales. 

Abstract Polyploidy (genome duplication) is a pivotal force in evolution. However, the interactions between parental genomes in a polyploid nucleus, frequently involving subgenome dominance, are poorly understood. Here we showcase analyses of a bamboo system (Poaceae: Bambusoideae) comprising a series of lineages from diploid (herbaceous) to tetraploid and hexaploid (woody), with 11 chromosome-level de novo genome assemblies and 476 transcriptome samples. We find that woody bamboo subgenomes exhibit stunning karyotype stability, with parallel subgenome dominance in the two tetraploid clades and a gradual shift of dominance in the hexaploid clade. Allopolyploidization and subgenome dominance have shaped the evolution of tree-like lignified culms, rapid growth and synchronous flowering characteristic of woody bamboos as large grasses. Our work provides insights into genome dominance in a remarkable polyploid system, including its dependence on genomic context and its ability to switch which subgenomes are dominant over evolutionary time. 

Abstract As drivers of evolutionary innovations, new genes allow organisms to explore new niches. However, clear examples of this process remain scarce. Bamboos, the unique grass lineage diversifying into the forest, have evolved with a key innovation of fast growth of woody stem, reaching up to 1 m/day. Here, we identify 1,622 bamboo-specific orphan genes that appeared in recent 46 million years, and 19 of them evolved from noncoding ancestral sequences with entire de novo origination process reconstructed. The new genes evolved gradually in exon−intron structure, protein length, expression specificity, and evolutionary constraint. These new genes, whether or not from de novo origination, are dominantly expressed in the rapidly developing shoots, and make transcriptomes of shoots the youngest among various bamboo tissues, rather than reproductive tissue in other plants. Additionally, the particularity of bamboo shoots has also been shaped by recent whole-genome duplicates (WGDs), which evolved divergent expression patterns from ancestral states. New genes and WGDs have been evolutionarily recruited into coexpression networks to underline fast-growing trait of bamboo shoot. Our study highlights the importance of interactions between new genes and genome duplicates in generating morphological innovation. 

Network measurement is critical in network management such as performance monitoring, diagnosis, and traffic engineering. However, conventional network measurement software tools are inadequate in high-speed network at scale. They also lack an event-driven mechanism to automate complex network measurement process. In this paper, we present Edi-son which contains an high performance measurement backend (Ares) to collect flow metrics, driven with an expressive frontend (Equery) to enable the composition of complex measurement tasks. Finally, we evaluate the effectiveness of our Edison framework on a distributed measurement platform deployed for 100Gbps international research networks.