Dataset Information

Ecological genomics of local adaptation in Cornus florida L. by genotyping by sequencing.

ABSTRACT: Discovering local adaptation, its genetic underpinnings, and environmental drivers is important for conserving forest species. Ecological genomic approaches coupled with next-generation sequencing are useful means to detect local adaptation and uncover its underlying genetic basis in nonmodel species. We report results from a study on flowering dogwood trees (Cornus florida L.) using genotyping by sequencing (GBS). This species is ecologically important to eastern US forests but is severely threatened by fungal diseases. We analyzed subpopulations in divergent ecological habitats within North Carolina to uncover loci under local selection and associated with environmental-functional traits or disease infection. At this scale, we tested the effect of incorporating additional sequencing before scaling for a broader examination of the entire range. To test for biases of GBS, we sequenced two similarly sampled libraries independently from six populations of three ecological habitats. We obtained environmental-functional traits for each subpopulation to identify associations with genotypes via latent factor mixed modeling (LFMM) and gradient forests analysis. To test whether heterogeneity of abiotic pressures resulted in genetic differentiation indicative of local adaptation, we evaluated Fst per locus while accounting for genetic differentiation between coastal subpopulations and Piedmont-Mountain subpopulations. Of the 54 candidate loci with sufficient evidence of being under selection among both libraries, 28-39 were Arlequin-BayeScan Fst outliers. For LFMM, 45 candidates were associated with climate (of 54), 30 were associated with soil properties, and four were associated with plant health. Reanalysis of combined libraries showed that 42 candidate loci still showed evidence of being under selection. We conclude environment-driven selection on specific loci has resulted in local adaptation in response to potassium deficiencies, temperature, precipitation, and (to a marginal extent) disease. High allele turnover along ecological gradients further supports the adaptive significance of loci speculated to be under selection.

SUBMITTER: Pais AL

PROVIDER: S-EPMC5213257 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature

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Ecological genomics of local adaptation in <i>Cornus florida</i> L. by genotyping by sequencing.

Pais Andrew L AL Whetten Ross W RW Xiang Qiu-Yun Jenny QJ

Ecology and evolution 20161220 1

Discovering local adaptation, its genetic underpinnings, and environmental drivers is important for conserving forest species. Ecological genomic approaches coupled with next-generation sequencing are useful means to detect local adaptation and uncover its underlying genetic basis in nonmodel species. We report results from a study on flowering dogwood trees (<i>Cornus florida L</i>.) using genotyping by sequencing (GBS). This species is ecologically important to eastern US forests but is severe ...[more]

PMID: 28070306

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Project description:BACKGROUND: Transcriptome sequencing analysis is a powerful tool in molecular genetics and evolutionary biology. Here we report the results of de novo 454 sequencing, characterization, and comparison of inflorescence transcriptomes of two closely related dogwood species, Cornus canadensis and C. florida (Cornaceae). Our goals were to build a preliminary source of genome sequence data, and to identify genes potentially expressed differentially between the inflorescence transcriptomes for these important horticultural species. RESULTS: The sequencing of cDNAs from inflorescence buds of C. canadensis (cc) and C. florida (cf), and normalized cDNAs from leaves of C. canadensis resulted in 251799 (ccBud), 96245 (ccLeaf) and 114648 (cfBud) raw reads, respectively. The de novo assembly of the high quality (HQ) reads resulted in 36088, 17802 and 21210 unigenes for ccBud, ccLeaf and cfBud. A reference transcriptome for C. canadensis was built by assembling HQ reads of ccBud and ccLeaf, containing 40884 unigenes. Reference mapping and comparative analyses found 10926 sequences were putatively specific to ccBud, and 6979 putatively specific to cfBud. Putative differentially expressed genes between ccBud and cfBud that are related to flower development and/or stress response were identified among 7718 shared sequences by ccBud and cfBud. Bi-directional BLAST found 87 (41.83% of 208) of Arabidopsis genes related to inflorescence development had putative orthologs in the dogwood transcriptomes. Comparisons of the shared sequences by ccBud and cfBud yielded 65931 high quality SNPs between two species. The twenty unigenes with the most SNPs are listed as potential genetic markers for evolutionary studies. CONCLUSIONS: The data provide an important, although preliminary, information platform for functional genomics and evolutionary developmental biology in Cornus. The study identified putative candidates potentially involved in the genetic regulation of inflorescence evolution and/or disease resistance in dogwoods for future analyses. Results of the study also provide markers useful for dogwood phylogenomic studies.

Dataset Information

Ecological genomics of local adaptation in Cornus florida L. by genotyping by sequencing.

Publications

Ecological genomics of local adaptation in <i>Cornus florida</i> L. by genotyping by sequencing.

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