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ABSTRACT: Divergence in responsiveness to soil biota and mycorrhizal partner-specificity between montane annual and coastal perennial ecotypes of yellow monkeyflower (Mimulus guttatus)

PROVIDER: PRJNA1082340 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR28169000_1.fastq.gz	Fastqsanger.gz
	SRR28169000_2.fastq.gz	Fastqsanger.gz
	SRR28169100_1.fastq.gz	Fastqsanger.gz
	SRR28169100_2.fastq.gz	Fastqsanger.gz
	SRR28169001_1.fastq.gz	Fastqsanger.gz

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Gene expression divergence between locally adapted inland annual and coastal perennial ecotypes of Mimulus guttatus across developmental stages

Project description:The action of natural selection across heterogeneous natural landscapes drives local adaptation and the formation of plant ecotypes, the precursors to new species. Plant ecotypes typically differ greatly in morphology, physiology, and development, yet we have a poor understanding of the underlying genetic basis of this divergence. Despite their importance, studies of the molecular underpinnings of ecotypic divergence through developmental stages are rare. In this study, we compared gene expression at different developmental time points between two locally adapted populations derived from the coastal perennial and inland annual ecotypes of the yellow monkeyflower, Mimulus guttatus. We conducted gene co-expression network analyses to identify putative genetic and molecular mechanisms driving ecotypic divergence and evaluated gene ontology enrichment. Overall, we found significant global expression differences between the ecotypes and among developmental stages. We also found evidence to support the hypothesis that interacting hormone pathways, especially the gibberellin and jasmonic acid pathways, may play a key role in annual versus perennial ecotype divergence. Further, genes within known chromosomal inversions were more likely to be differentially expressed than genes in colinear regions, but only in leaves and not for floral buds. Collectively, our results reinforce our existing hypotheses about how ecotype formation has occurred in this system through shifts in hormone biosynthesis/signaling and help advance our understanding of the evolution of annuality versus perenniality in plants.

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Project description:Small RNAs (21-24 nt) are pivotal regulators of gene expression that guide both transcriptional and post-transcriptional silencing mechanisms in diverse eukaryotes, including most if not all plants. MicroRNAs (miRNAs) and short interfering RNAs (siRNAs) are the two major types, both of which have a demonstrated and important role in plant development, stress responses and pathogen resistance. In this work, we used a deep sequencing approach (Sequencing-By-Synthesis, or SBS) to develop sequence resources of small RNAs from Mimulus guttatus tissues (including leaves, flowers and roots). The high depth of the resulting datasets enabled us to examine in detail critical small RNA features as size distribution, tissue-specific regulation and sequence conservation between different organs in this species. We also developed database resources and a dedicated website (http://smallrna.udel.edu/) with computational tools for allowing other users to identify new miRNAs or siRNAs involved in specific regulatory pathways, verify the degree of conservation of these sequences in other plant species and map small RNAs on genes or larger regions of the maize genome under study. Small RNA libraries were derived from leaves, flowers and roots of Mimulus guttatus, strain âIM62â. Total RNA was isolated using the Plant RNA Purification Reagent (Invitrogen), and submitted to Illumina (Hayward, CA, http://www.illumina.com) for small RNA library construction using approaches described in (Lu et al., 2007) with minor modifications. The small RNA libraries were sequenced with the Sequencing-By-Synthesis (SBS) technology by Illumina. PERL scripts were designed to remove the adapter sequences and determine the abundance of each distinct small RNA. We thank John Willis for providing the plant material as well as Kan Nobuta and Gayathri Mahalingam for assistance with the computational methods.

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