population genetic structure
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2022 ◽  
Vol 12 ◽  
Author(s):  
Versha Rohilla ◽  
Rajesh Kumar Yadav ◽  
Atman Poonia ◽  
Ravika Sheoran ◽  
Gita Kumari ◽  
...  

Mung bean [Vigna radiata (L.) Wilczek] is an important short-duration grain legume widely known for its nutritional, soil ameliorative, and cropping system intensification properties. This study aims at evaluating genetic diversity among mung bean genotypes and detecting genomic regions associated with various yield attributing traits and yellow mosaic disease (YMD) resistance by association mapping. A panel of 80 cultivars and advanced breeding lines was evaluated for 10 yield-related and YMD resistance traits during kharif (monsoon) and summer seasons of 2018–2019 and 2019–2020. A total of 164 genome-wide simple sequence repeat (SSR) markers were initially screened, out of which 89 were found polymorphic which generated 317 polymorphic alleles with an average of 3.56 alleles per SSR locus. The number of alleles at each locus varied from 2 to 7. The population genetic structure analysis grouped different genotypes in three major clusters and three genetically distinct subpopulations (SPs) (i.e., SP-1, SP-2, and SP-3) with one admixture subpopulation (SP-4). Both cluster and population genetic structure analysis categorized the advanced mung bean genotypes in a single group/SP and the released varieties in other groups/SPs, suggesting that the studied genotypes may have common ancestral history at some level. The population genetic structure was also in agreement with the genetic diversity analysis. The estimate of the average degree of linkage disequilibrium (LD) present at the genome level in 80 mung bean genotypes unveiled significant LD blocks. Over the four seasons, 10 marker-trait associations were observed significant for YMD and four seed yield (SY)-related traits viz., days to flowering, days to maturity, plant height, and number of pods per plant using the mixed linear model (MLM) method. These associations may be useful for marker-assisted mung bean yield improvement programs and YMD resistance.


2022 ◽  
Author(s):  
Marianne Bessette ◽  
Dave T. Ste‐Croix ◽  
Jacques Brodeur ◽  
Benjamin Mimee ◽  
Annie‐Ève Gagnon

2022 ◽  
Author(s):  
Luis A. Pastene ◽  
Mioko Taguchi ◽  
Aimee Lang ◽  
Mutsuo Goto ◽  
Koji Matsuoka

2022 ◽  
Vol 21 (1) ◽  
pp. 178-187
Author(s):  
Jing-xuan SUN ◽  
Qian LI ◽  
Xiao-ling TAN ◽  
Jia FAN ◽  
Yong ZHANG ◽  
...  

Author(s):  
Luis E. Rodríguez de Francisco ◽  
Rosanna Carreras-De León ◽  
Rafael M. Navarro Cerrillo ◽  
Liz A. Paulino-Gervacio ◽  
María-Dolores Rey ◽  
...  

<i>Pinus occidentalis</i> is the dominant species of forest ecosystems in the Dominican Republic, located between 200 and 3000 meters above sea level, with extensive and overexploited natural populations. However, over the years, various restoration plans have been performed, which could affect the genetic structure of <i>P. occidentalis</i>. Despite being the species with the highest occurrence in the Dominican forests, there is no existing information on genetic structure and molecular characterization among natural populations with limited information on both phenological and productive characterization. In this study, the genetic structure, diversity, and gene flow of the five <i>P. occidentalis</i> natural populations of the Dominican Republic were determined using microsatellite markers. A total of 145 individuals were genotyped with eight polymorphic chloroplastic microsatellites, producing an average of 41 haplotypes with high genetic diversity across populations (H<sub>E</sub> = 0.90). Significant population genetic structure was found between populations (F<sub>ST</sub> = 0.123). These results reflect the impact of reforestation programs on natural populations and diluting the natural genetic signature. Analysis of population genetic data is, therefore, crucial for the breeding and conservation programs of <i>P. occidentalis</i> in the country.


2021 ◽  
Author(s):  
Dragana Šnjegota ◽  
Astrid Vik Stronen ◽  
Barbara Boljte ◽  
Duško Ćirović ◽  
Mihajla Djan ◽  
...  

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