Biology subjects

Carvalho, D. S.

Publications and source records attributed to Carvalho, D. S..

3 recordsLinked to original sources

bioRxiv2019

Reconstructed protein sequence evolution consistent with the evolution of C4 photosynthesis via a C2 ancestor in the Paniceae

The grass tribe Paniceae includes a monophyletic subclade of species, the MPC clade, which specialize in each of the three primary C4 sub-pathways NADP-ME, NAD-ME and PCK. The evolutionary history of C4 photosynthesis in this subclade remains ambiguous. Leveraging newly sequenced grass genomes and syntenic orthology data, we estimated rates of protein sequence evolution on ancestral branches for both core enzymes shared across different C4 sub-pathways and enzymes specific to C4 sub-pathways. While core enzymes show elevated rates of protein sequence evolution in ancestral branches consistent with a transition from C3 to C4 photosynthesis in the ancestor for this clade, no subtype specific enzymes showed similar patterns. At least one protein involved in photorespiration also showed elevated rates of protein sequence evolution in the ancestral branch. The set of core C4 enzymes examined here combined with the photorespiratory pathway are necessary for the C2 photosynthetic cycle, a previously proposed intermediate between C3 and C4 photosynthesis. The patterns reported here are consistent with, but not conclusive proof that, C4 photosynthesis in the MPC clade of the Paniceae evolved via a C2 intermediate.

plant biology↗

bioRxiv2019

IsoSeq transcriptome assembly of C3 panicoid grasses provides tools to study evolutionary change in the Panicoideae

The number of plant species with genomic and transcriptomic data has been increasing rapidly. The grasses - Poaceae - have been well represented among species with published reference genomes. However, as a result the genomes of wild grasses are less frequently targeted by sequencing efforts. Sequence data from wild relatives of crop species in the grasses can aid the study of domestication, gene discovery for breeding and crop improvement, and improve our understanding of the evolution of C4 photosynthesis. Here we used long read sequencing technology to characterize the transcriptomes of three C3 panicoid grass species: Dichanthelium oligosanthes, Chasmanthium laxum, and Hymenachne amplexicaulis. Based on alignments to the sorghum genome we estimate that assembled consensus transcripts from each species capture between 54.2 and 65.7% of the conserved syntenic gene space in grasses. Genes co-opted into C4 were also well represented in this dataset, despite concerns that, because these genes might play roles unrelated to photosynthesis in the target species, they would be expressed at low levels and missed by transcript-based sequencing. A combined analysis using syntenic orthologous genes from grasses with published reference genomes and consensus long read sequences from these wild species was consistent with previously published phylogenies. It is hoped that this data, targeting under represented classes of species within the PACMAD grasses - wild species and species utilizing C3 photosynthesis - will aid in futurue studies of domestication and C4 evolution by decreasing the evolutionary distance between C4 and C3 species within this clade, enabling more accurate comparisons associated with evolution of the C4 pathway.

plant biology↗

bioRxiv2017

Integrating phylogenetic and network approaches to study gene family evolution: the case of the AGAMOUS family of floral genes

The study of gene family evolution has benefited from the use of phylogenetic tools, which can greatly inform studies of both relationships within gene families and functional divergence. Here, we propose the use of a network-based approach that in combination with phylogenetic methods can provide additional support for models of gene family evolution. We dissect the contributions of each method to the improved understanding of relationships and functions within the well-characterized family of AGAMOUS floral development genes. The results obtained with the two methods largely agreed with one another. In particular, we show how network approaches can provide improved interpretations of branches with low support in a conventional gene tree. The network approach used here may also better reflect known and suspected patterns of functional divergence relative to phylogenetic methods. Overall, we believe that the combined use of phylogenetic and network tools provide more robust assessments of gene family evolution.

evolutionary biology↗