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1. POPULATION STRUCTURE OF MORPHOLOGICAL TRAITS IN CLARKIA DUDLEYANA . II. CONSTANCY OF WITHIN-POPULATION GENETIC VARIANCE

   https://doi.org/10.1111/j.1558-5646.1997.tb05102.x  

   Podolsky, Robert H. ; Shaw, Ruth G. ; Shaw, Frank H. ( December 1997 , Evolution)
2. Age, growth and population structure of invasive lionfish ( Pterois volitans/miles ) in northeast Florida using a length-based, age-structured population model

   https://doi.org/10.7717/peerj.2730  

   Johnson, Eric G. ; Swenarton, Mary Katherine ( December 2016 , PeerJ)

   The effective management of invasive species requires detailed understanding of the invader’s life history. This information is essential for modeling population growth and predicting rates of expansion, quantifying ecological impacts and assessing the efficacy of removal and control strategies. Indo-Pacific lionfish (Pterois volitans/miles) have rapidly invaded the western Atlantic, Gulf of Mexico and Caribbean Sea with documented negative impacts on native ecosystems. To better understand the life history of this species, we developed and validated a length-based, age-structured model to investigate age, growth and population structure in northeast Florida. The main findings of this study were: (1) lionfish exhibited rapid growth with seasonal variation in growth rates; (2) distinct cohorts were clearly identifiable in the length-frequency data, suggesting that lionfish are recruiting during a relatively short period in summer; and (3) the majority of lionfish were less than two years old with no lionfish older than three years of age, which may be the result of culling efforts as well as ontogenetic habitat shifts to deeper water.
3. The population genetic test Tajima's D identifies genes encoding pathogen-associated molecular patterns and other virulence-related genes in Ralstonia solanacearum: Tajima's D in Ralstonia solanacearum PAMPs

   https://doi.org/10.1111/mpp.12688  

   Eckshtain-Levi, Noam ; Weisberg, Alexandra J. ; Vinatzer, Boris A. ( September 2018 , Molecular Plant Pathology)
4. Inferring population connectivity in eastern m assasauga rattlesnakes ( S istrurus c atenatus ) using landscape genetics

   https://doi.org/10.1002/eap.2793  

   Martin, Scott A. ; Peterman, William E. ; Lipps, Jr., Gregory J. ; Gibbs, H. Lisle ( January 2023 , Ecological Applications)
5. Variation in the flowering time orthologs BrFLC and BrSOC1 in a natural population of Brassica rapa

   https://doi.org/10.7717/peerj.1339  

   Franks, Steven J. ; Perez-Sweeney, Beatriz ; Strahl, Maya ; Nowogrodzki, Anna ; Weber, Jennifer J. ; Lalchan, Rebecca ; Jordan, Kevin P. ; Litt, Amy ( November 2015 , PeerJ)

   Understanding the genetic basis of natural phenotypic variation is of great importance, particularly since selection can act on this variation to cause evolution. We examined expression and allelic variation in candidate flowering time loci inBrassica rapaplants derived from a natural population and showing a broad range in the timing of first flowering. The loci of interest were orthologs of the Arabidopsis genesFLCandSOC1(BrFLCandBrSOC1, respectively), which in Arabidopsis play a central role in the flowering time regulatory network, withFLCrepressing andSOC1promoting flowering. InB. rapa, there are four copies ofFLCand three ofSOC1. Plants were grown in controlled conditions in the lab. Comparisons were made between plants that flowered the earliest and latest, with the difference in average flowering time between these groups ∼30 days. As expected, we found that total expression ofBrSOC1paralogs was significantly greater in early than in late flowering plants. Paralog-specific primers showed that expression was greater in early flowering plants in theBrSOC1paralogsBr004928, Br00393andBr009324, although the difference was not significant inBr009324. Thus expression of at least 2 of the 3BrSOC1orthologs is consistent with their predicted role in flowering time in this natural population. Sequences of the promoter regions of theBrSOC1orthologs were variable, but there was no association between allelic variation at thesemore »loci and flowering time variation. For theBrFLCorthologs, expression varied over time, but did not differ between the early and late flowering plants. The coding regions, promoter regions and introns of these genes were generally invariant. Thus theBrFLCorthologs do not appear to influence flowering time in this population. Overall, the results suggest that even for a trait like flowering time that is controlled by a very well described genetic regulatory network, understanding the underlying genetic basis of natural variation in such a quantitative trait is challenging.

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