Literature DB >> 21653434

Correlation between molecular markers and adaptively significant genetic variation in Bromus tectorum (Poaceae), an inbreedingannual grass.

Alisa P Ramakrishnan1, Susan E Meyer, Jennifer Waters, Mikel R Stevens, Craig E Coleman, Daniel J Fairbanks.   

Abstract

Single sequence repeat (SSR) and amplified fragment length polymorphic (AFLP) molecular marker genotypes in cheatgrass (Bromus tectorum) were compared to published data on phenotypic variation in seed dormancy, vernalization requirement, and resistance to the pathogen Ustilago bullata. Several features of cheatgrass facilitated this study: it is a recent invader in the western United States, has considerable phenotypic polymorphism, and is an obligate self-pollinator. Forty self-pollinating lines from four populations common to the three phenotypic data sets were analyzed for molecular genetic variation using seven SSR loci and 31 AFLP loci. We examined correlations between distance matrices using the Mantel test for each pair of studies. The two molecular data sets were significantly correlated (r = 0.636). The AFLP markers often distinguished among several lines with identical SSR genotypes. The AFLP data were also significantly correlated with the phenotypic data (r values from 0.4640 to 0.5658), but the SSR data were much more highly correlated (r values from 0.677 to 0.844). The difference between molecular marker systems was especially notable when an outlier population from Potosi Pass, Nevada, was excluded from the analysis. These results suggest that SSR markers may be good surrogates for phenotypic traits in population genetic studies of strongly inbreeding species such as cheatgrass.

Entities:  

Year:  2004        PMID: 21653434     DOI: 10.3732/ajb.91.6.797

Source DB:  PubMed          Journal:  Am J Bot        ISSN: 0002-9122            Impact factor:   3.844


  4 in total

1.  Genetic diversity of a dominant C4 grass is altered with increased precipitation variability.

Authors:  Meghan L Avolio; Jeremy M Beaulieu; Melinda D Smith
Journal:  Oecologia       Date:  2012-08-21       Impact factor: 3.225

2.  Effect prediction of identified SNPs linked to fruit quality and chilling injury in peach [Prunus persica (L.) Batsch].

Authors:  Pedro J Martínez-García; Jonathan Fresnedo-Ramírez; Dan E Parfitt; Thomas M Gradziel; Carlos H Crisosto
Journal:  Plant Mol Biol       Date:  2012-11-25       Impact factor: 4.076

3.  Development of single-nucleotide polymorphism markers for Bromus tectorum (Poaceae) from a partially sequenced transcriptome.

Authors:  Keith R Merrill; Craig E Coleman; Susan E Meyer; Elizabeth A Leger; Katherine A Collins
Journal:  Appl Plant Sci       Date:  2016-11-04       Impact factor: 1.936

4.  Transcriptomic resources for prairie grass (Bromus catharticus): expressed transcripts, tissue-specific genes, and identification and validation of EST-SSR markers.

Authors:  Ming Sun; Zhixiao Dong; Jian Yang; Wendan Wu; Chenglin Zhang; Jianbo Zhang; Junming Zhao; Yi Xiong; Shangang Jia; Xiao Ma
Journal:  BMC Plant Biol       Date:  2021-06-07       Impact factor: 4.215

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.