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1. Development of an In Vitro Method of Propagation for Artemisia tridentata subsp. tridentata to Support Genome Sequencing and Genotype-by-Environment Research

   https://doi.org/10.3390/plants9121717  

   Barron, Rachael; Martinez, Peggy; Serpe, Marcelo; Buerki, Sven (December 2020, Plants)

   null (Ed.)

   Basin big sagebrush (Artemisia tridentata subsp. tridentata) is a keystone species of the sagebrush steppe, a widespread ecosystem of western North America threatened by climate change. The study’s goal was to develop an in vitro method of propagation for this taxon to support genome sequencing and genotype-by-environment research on drought tolerance. Such research may ultimately facilitate the reintroduction of big sagebrush in degraded habitats. Seedlings were generated from two diploid mother plants (2n = 2x = 18) collected in environments with contrasting precipitation regimes. The effects of IBA and NAA on rooting of shoot tips were tested on 45 individuals and 15 shoot tips per individual. Growth regulator and individual-seedling effects on percent rooting and roots per shoot tip were evaluated using statistical and clustering analyses. Furthermore, rooted shoot tips were transferred into new media to ascertain their continued growth in vitro. The results suggest that A. tridentata is an outbred species, as shown by individuals’ effect on rooting and growth. IBA addition was the most effective method for promoting adventitious rooting, especially in top-performing individuals. These individuals also have high survival and growth rates upon transferring to new media, making them suitable candidates for generating biomass for genome sequencing and producing clones for genotype-by-environment research. 

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2. A draft genome provides hypotheses on drought tolerance in a keystone plant species in Western North America threatened by climate change

   https://doi.org/10.1002/ece3.8245  

   Melton, Anthony E.; Beck, James; Galla, Stephanie J.; Jenkins, Jerry; Handley, Lori; Kim, Min; Grimwood, Jane; Schmutz, Jeremy; Richardson, Bryce A.; Serpe, Marcelo; et al (October 2021, Ecology and Evolution)

   Abstract Climate change presents distinct ecological and physiological challenges to plants as extreme climate events become more common. Understanding how species have adapted to drought, especially ecologically important nonmodel organisms, will be crucial to elucidate potential biological pathways for drought adaptation and inform conservation strategies. To aid in genome‐to‐phenome research, a draft genome was assembled for a diploid individual ofArtemisia tridentatasubsp.tridentata, a threatened keystone shrub in western North America. While this taxon has few genetic resources available and genetic/genomics work has proven difficult due to genetic heterozygosity in the past, a draft genome was successfully assembled. Aquaporin (AQP) genes and their promoter sequences were mined from the draft genome to predict mechanisms regulating gene expression and generate hypotheses on key genes underpinning drought response. Fifty‐one AQP genes were fully assembled within the draft genome. Promoter and phylogenetic analyses revealed putative duplicates ofA. tridentatasubsp.tridentataAQPs which have experienced differentiation in promoter elements, potentially supporting novel biological pathways. Comparison with nondrought‐tolerant congener supports enrichments of AQP genes in this taxon during adaptation to drought stress. Differentiation of promoter elements revealed that paralogues of some genes have evolved to function in different pathways, highlighting these genes as potential candidates for future research and providing critical hypotheses for future genome‐to‐phenome work. 

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3. Genome Assembly of the Dogface Butterfly Zerene cesonia

   https://doi.org/10.1093/gbe/evz254  

   Rodriguez-Caro, Luis; Fenner, Jennifer; Benson, Caleb; Van Belleghem, Steven M; Counterman, Brian A; Eyre-Walker, Adam (January 2020, Genome Biology and Evolution)

   Abstract Comparisons of high-quality, reference butterfly, and moth genomes have been instrumental to advancing our understanding of how hybridization, and natural selection drive genomic change during the origin of new species and novel traits. Here, we present a genome assembly of the Southern Dogface butterfly, Zerene cesonia (Pieridae) whose brilliant wing colorations have been implicated in developmental plasticity, hybridization, sexual selection, and speciation. We assembled 266,407,278 bp of the Z. cesonia genome, which accounts for 98.3% of the estimated 271 Mb genome size. Using a hybrid approach involving Chicago libraries with Hi-Rise assembly and a diploid Meraculous assembly, the final haploid genome was assembled. In the final assembly, nearly all autosomes and the Z chromosome were assembled into single scaffolds. The largest 29 scaffolds accounted for 91.4% of the genome assembly, with the remaining ∼8% distributed among another 247 scaffolds and overall N50 of 9.2 Mb. Tissue-specific RNA-seq informed annotations identified 16,442 protein-coding genes, which included 93.2% of the arthropod Benchmarking Universal Single-Copy Orthologs (BUSCO). The Z. cesonia genome assembly had ∼9% identified as repetitive elements, with a transposable element landscape rich in helitrons. Similar to other Lepidoptera genomes, Z. cesonia showed a high conservation of chromosomal synteny. The Z. cesonia assembly provides a high-quality reference for studies of chromosomal arrangements in the Pierid family, as well as for population, phylo, and functional genomic studies of adaptation and speciation. 

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4. Integrating anthropogenic factors into regional‐scale species distribution models—A novel application in the imperiled sagebrush biome

   https://doi.org/10.1111/gcb.14728  

   Requena‐Mullor, Juan M.; Maguire, Kaitlin C.; Shinneman, Douglas J.; Caughlin, Timothy Trevor (July 2019, Global Change Biology)

   Abstract Species distribution models (SDMs) that rely on regional‐scale environmental variables will play a key role in forecasting species occurrence in the face of climate change. However, in the Anthropocene, a number of local‐scale anthropogenic variables, including wildfire history, land‐use change, invasive species, and ecological restoration practices can override regional‐scale variables to drive patterns of species distribution. Incorporating these human‐induced factors into SDMs remains a major research challenge, in part because spatial variability in these factors occurs at fine scales, rendering prediction over regional extents problematic. Here, we used big sagebrush (Artemisia tridentataNutt.) as a model species to explore whether including human‐induced factors improves the fit of the SDM. We applied a Bayesian hurdle spatial approach using 21,753 data points of field‐sampled vegetation obtained from the LANDFIRE program to model sagebrush occurrence and cover by incorporating fire history metrics and restoration treatments from 1980 to 2015 throughout the Great Basin of North America. Models including fire attributes and restoration treatments performed better than those including only climate and topographic variables. Number of fires and fire occurrence had the strongest relative effects on big sagebrush occurrence and cover, respectively. The models predicted that the probability of big sagebrush occurrence decreases by 1.2% (95% CI: −6.9%, 0.6%) when one fire occurs and cover decreases by 44.7% (95% CI: −47.9%, −41.3%) if at least one fire occurred over the 36 year period of record. Restoration practices increased the probability of big sagebrush occurrence but had minimal effect on cover. Our results demonstrate the potential value of including disturbance and land management along with climate in models to predict species distributions. As an increasing number of datasets representing land‐use history become available, we anticipate that our modeling framework will have broad relevance across a range of biomes and species. 

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5. Intraspecific variation mediates density dependence in a genetically diverse plant species

   https://doi.org/10.1002/ecy.3502  

   Zaiats, Andrii; Germino, Matthew J.; Serpe, Marcelo D.; Richardson, Bryce A.; Caughlin, T. Trevor (September 2021, Ecology)

   Abstract Interactions between neighboring plants are critical for biodiversity maintenance in plant populations and communities. Intraspecific trait variation and genome duplication are common in plant species and can drive eco‐evolutionary dynamics through genotype‐mediated plant–plant interactions. However, few studies have examined how species‐wide intraspecific variation may alter interactions between neighboring plants. We investigate how subspecies and ploidy variation in a genetically diverse species, big sagebrush (Artemisia tridentata), can alter the demographic outcomes of plant interactions. Using a replicated, long‐term common garden experiment that represents range‐wide diversity ofA. tridentata, we ask how intraspecific variation, environment, and stand age mediate neighbor effects on plant growth and survival. Spatially explicit models revealed that ploidy variation and subspecies identity can mediate plant–plant interactions but that the effect size varied in time and across experimental sites. We found that demographic impacts of neighbor effects were strongest during early stages of stand development and in sites with greater growth rates. Within subspecies, tetraploid populations showed greater tolerance to neighbor crowding compared to their diploid variants. Our findings provide evidence that intraspecific variation related to genome size and subspecies identity impacts spatial demography in a genetically diverse plant species. Accounting for intraspecific variation in studies of conspecific density dependence will improve our understanding of how local populations will respond to novel genotypes and biotic interaction regimes. As introduction of novel genotypes into local populations becomes more common, quantifying demographic processes in genetically diverse populations will help predict long‐term consequences of plant–plant interactions. 

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