Mitochondrial DNA variation and matrilineal structure in blue sheep populations of Helan Mountain, China

2006 ◽  
Vol 84 (10) ◽  
pp. 1431-1439 ◽  
Author(s):  
Xiao-Ming Wang ◽  
Li-Rong Cao ◽  
Zhen-Sheng Liu ◽  
Sheng-Guo Fang
Keyword(s):  
Mitochondrial Dna ◽  
Control Region ◽  
Nature Reserve ◽  
Isolation By Distance ◽  
Management Strategies ◽  
Haplotype Diversity ◽  
Hypervariable Region ◽  
Population History ◽  
Blue Sheep ◽  
Helan Mountain

Mitochondrial DNA (mtDNA) control region (5′ hypervariable region, 554 bp) sequences from 71 samples of blue sheep ( Pseudois nayaur Hodgson, 1833) collected from six study localities throughout Helan Mountain Nature Reserve in Ningxia province of China were investigated to analyse distribution patterns of genetic variability, elucidate matrilineal structure, and investigate population history. Haplotype diversity (h) among the 71 samples was estimated to be 0.792 ± 0.037, and nucleotide diversity (Π) was relatively low (0.00392 ± 0.00046). A χ2 contingency analysis of all mtDNA haplotype frequencies revealed that these haplotypes were distributed in a nonrandom fashion among study localities (χ2 = 86.205, P = 0.092). Additional evidence of matrilineal structure was provided by the finding that a significant amount (9.02%; P < 0.01) of mtDNA variation was partitioned among different localities in the study area. We conclude that blue sheep of Helan Mountain Nature Reserve are structured spatially along matrilines. Pairwise computations of Φst and an AMOVA indicated that some sampling localities are differentiated relative to a random collection of genotypes and reflected differences in the spatial distribution of genetic variation. Isolation-by-distance (IBD) models (Mantel tests) revealed no obvious association between genetic differentiation and geographical distance. These results could be a basis for the development of suitable management strategies for conservation purposes. This work represents the first analysis of blue sheep mitochondrial control region DNA to be performed from a population genetics perspective.

Haplotype diversity in mitochondrial DNA hypervariable region in a population of southeastern Brazil

2014 ◽  
Vol 128 (4) ◽  
pp. 589-593 ◽  
Author(s):  
C. Fridman ◽  
R. S. Gonzalez ◽  
A. C. Pereira ◽  
M. M. S. G. Cardena
Keyword(s):  
Mitochondrial Dna ◽  
Haplotype Diversity ◽  
Hypervariable Region ◽  
Southeastern Brazil

scholarly journals Genealogy and phylogeography of Cyprinid fish Labeo rohita (Hamilton, 1822) inferred from ATPase 6 and 8 mitochondrial DNA gene analysis

2014 ◽  
Vol 60 (4) ◽  
pp. 460-471 ◽  
Author(s):  
Rupesh K. Luhariya ◽  
Kuldeep K. Lal ◽  
Rajeev K. Singh ◽  
Vindhya Mohindra ◽  
Arti Gupta ◽  
...  
Keyword(s):  
Mitochondrial Dna ◽  
Labeo Rohita ◽  
Isolation By Distance ◽  
Haplotype Diversity ◽  
Population Variation ◽  
Population Substructure ◽  
Distribution Analysis ◽  
Genetic Structuring ◽  
Potential Marker ◽  
Atpase 6

Abstract ATPase 6/8 gene (842 bp) of mitochondrial DNA was sequenced in Labeo rohita samples (n = 253) collected from nine rivers belonging to four river basins; Indus, Ganges, Brahmaputra and Mahanadi. Analysis revealed 44 haplotypes with high haplotype diversity (Hd) 0.694 and low nucleotide diversity (π) 0.001. The within population variation was larger (83.44%) than among population differences (16.56%). The mean FST value (0.166; P &lt; 0.05) for overall populations revealed moderate level of genetic structuring in the wild L. rohita populations. The haplotype network presented a single clade for wild L. rohita population, from different rivers. Negative values for Fu’s index (FS), mismatch distribution analysis indicated period of expansion in L. rohita population. The time after recent expansion was estimated for each population, between 0.042 to 0.167 mya. The pattern of Isolation by Distance (IBD) was not significant (r = -0.113, P &lt; 0.287), when all the sampling locations were compared (Mantel test), however, when an outlier (Indus, Brahmaputra and Mahanadi) was removed from the whole population set, a clear positive correlation between pairwise FST and geographic distance (Km) was seen. The analysis of data demonstrated that ATPase6/8 gene polymorphism is a potential marker to understand genetic population structure of wild L. rohita existing in different rivers. The study identified population substructure in wild L. rohita with common ancestral origin [Current Zoology 60 (4): 460–471, 2014].

Haplotype diversity in mitochondrial DNA hypervariable region I, II and III in northeast China Han

2005 ◽  
Vol 149 (2-3) ◽  
pp. 267-269 ◽  
Author(s):  
Yong Ji Zhang ◽  
Qing Song Xu ◽  
Zhe Jia Zheng ◽  
Hai Yu Lin ◽  
Jung Bin Lee
Keyword(s):  
Mitochondrial Dna ◽  
Northeast China ◽  
Haplotype Diversity ◽  
Hypervariable Region ◽  
Region I ◽  
Hypervariable Region I

Flight responses of blue sheep in Ningxia Helan Mountain National Nature Reserve

2013 ◽  
Vol 62 (3) ◽  
pp. 185-192 ◽  
Author(s):  
Mingchun Zhang ◽  
Xiaoming Wang ◽  
Yiuzhong Ding
Keyword(s):  
Nature Reserve ◽  
Blue Sheep ◽  
National Nature Reserve ◽  
Helan Mountain

scholarly journals MITOCHONDRIAL DNA STUDY OF MONGOLIAN EQUUS CABALLUS

2018 ◽  
pp. 77-86
Author(s):  
Bolor-Oyut B ◽  
Ochirkhuyag B ◽  
Khulan J
Keyword(s):  
Genetic Diversity ◽  
Mitochondrial Dna ◽  
Control Region ◽  
Nucleotide Diversity ◽  
Sequence Variation ◽  
Haplotype Diversity ◽  
Sequence Analyses ◽  
Mitochondrial Dna Control Region ◽  
Evolutionary Studies ◽  
High Level

In order to assess the genetic diversity and maternal lineages of Mongolian native horse populations, we examined using mitochondrial DNA control region sequence analyses. The control region of mitochondrial DNA is widely used for population and evolutionary studies because of its high level of sequence variation, in addition to a lack of recombination and maternal heritance. To determine genetic diversity and maternal heritance, we collected 19 blood samples of Darhad horses from Khuvsgul, Tes horses from Zavkhan and Taij horses from Dundgobi, Mongolia.In this study, 16 haplotypes and 51 polymorphic sites were detected. Haplotype diversity was 0.9766 and nucleotide diversity was 0.0212 in Mongolian native horses. Finally, 5 horse haplogroups (A, C, D, F, I) were identified in 16 haplotypes in this study.

scholarly journals Magnaporthe oryzae populations in Sub-Saharan Africa are diverse and show signs of local adaptation

2020 ◽  
Author(s):  
Geoffrey Onaga ◽  
Worrawit Suktrakul ◽  
Margaret Wanjiku ◽  
Ian Lorenzo Quibod ◽  
Jean-Baka Domelevo Entfellner ◽  
...  
Keyword(s):  
Local Adaptation ◽  
Magnaporthe Oryzae ◽  
Management Strategies ◽  
Haplotype Diversity ◽  
Population History ◽  
Sub Saharan Africa ◽  
Demographic Processes ◽  
History Of ◽  
Sub Saharan ◽  
Genetic Pools

AbstractRice blast caused by Magnaporthe oryzae is one of the most economically damaging diseases of rice worldwide. The disease originated in Asia but was detected for the first time in Sub-Saharan Africa (SSA) around 100 years ago. Despite its importance, the evolutionary processes involved in shaping the population structure of M. oryzae in SSA remain unclear. In this study, we investigate the population history of M. oryzae using a combined dataset of 180 genomes. Our results show that SSA populations are more diverse than earlier perceived, and harbor all genetic groups previously reported in Asia. While M. oryzae populations in SSA and Asia draw from the same genetic pools, both are experiencing different evolutionary trajectories resulting from unknown selection pressures or demographic processes. The distribution of rare alleles, measured as Tajima’s D values, show significant differences at the substructure level. Genome-wide analysis indicates potential events of population contraction strongly affecting M. oryzae in SSA. In addition, the distribution and haplotype diversity of effectors might suggest a process of local adaptation to SSA conditions. These findings provide additional clues about the evolutionary history of M. oryzae outside the center of origin and help to build customized disease management strategies.

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