Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Apr 26;54(6):e10317.
doi: 10.1590/1414-431X202010317. eCollection 2021.

Association of whole mtDNA, an NADPH G11914A variant, and haplogroups with high physical performance in an elite military troop

Affiliations

Association of whole mtDNA, an NADPH G11914A variant, and haplogroups with high physical performance in an elite military troop

C G M Santos et al. Braz J Med Biol Res. .

Abstract

Physical performance is a multifactorial and complex trait influenced by environmental and hereditary factors. Environmental factors alone have been insufficient to characterize all outstanding phenotypes. Recent advances in genomic technologies have enabled the investigation of whole nuclear and mitochondrial genome sequences, increasing our ability to understand interindividual variability in physical performance. Our objective was to evaluate the association of mitochondrial polymorphic loci with physical performance in Brazilian elite military personnel. Eighty-eight male military personnel who participated in the Command Actions Course of the Army were selected. Total DNA was obtained from blood samples and a complete mitochondrial genome (mtDNA) was sequenced using Illumina MiSeq platform. Twenty-nine subjects completed the training program (FINISHED, 'F'), and fifty-nine failed to complete (NOT_FINISHED, 'NF'). The mtDNA from NF was slightly more similar to genomes from African countries frequently related to endurance level. Twenty-two distinct mtDNA haplogroups were identified corroborating the intense genetic admixture of the Brazilian population, but their distribution was similar between the two groups (FST=0.0009). Of 745 polymorphisms detected in the mtDNA, the position G11914A within the NADPH gene component of the electron transport chain, was statistically different between F and NF groups (P=0.011; OR: 4.286; 95%CI: 1.198-16.719), with a higher frequency of the G allele in group F individuals). The high performance of military personnel may be mediated by performance-related genomic traits. Thus, mitochondrial genetic markers such as the ND4 gene may play an important role on physical performance variability.

PubMed Disclaimer

Figures

Figure 1
Figure 1. Persistence profile of the subjects who completed the course (FINISH (F) group). The numbers in boxes indicate the number of individuals who completed each week of the course.
Figure 2
Figure 2. Phylogenetic tree generated by MEGA7 software with the Tamura-Nei model. In red, Ethiopian individuals (ETH) of diverse haplogroups; in gray, Kenyan individuals (KEN); in pink, a Jamaican individual (JAM); in blue, subjects who completed the course (FINISH); in yellow, who did not finish (NOT_FINISH); and in purple, the revised Cambridge Reference Sequence of mtRNA (rCRS). The squares and rectangles are the mitochondrial haplogroups presented by each group of individuals. The brown rectangle highlights the root of the tree, which represents the mitochondrial sequence of a genome outside the groups, a Neanderthal man.
Figure 3
Figure 3. Absolute allele frequency differences (δ) between subjects who completed the course (FINISH) and those who did not (NOT_FINISH) for each polymorphic site of mitochondrial genome.
Figure 4
Figure 4. The A allele frequencies of mitochondrial variant at nucleotide position G11914A for European (EUR), Asian/Amerindian (ASI), and African populations (AFR) according to the 1000 Genomes Project database, as well as subjects who completed the course (FINISH) or did not (NOT_FINISH) in the sample from Brazil (BRA).

Similar articles

References

    1. Tsianos GI, Evangelou E, Boot A, Carola Zillikens M, van Meurs JBJ, Uitterlinden AG, et al. Associations of polymorphisms of eight muscle- or metabolism-related genes with performance in Mount Olympus marathon runners. J Appl Physiol. 2010;108:567–574. doi: 10.1152/japplphysiol.00780.2009. - DOI - PubMed
    1. Eynon N, Birk R, Meckel Y, Lucia A, Nemet D, Eliakim A. Physiological variables and mitochondrial-related genotypes of an athlete who excels in both short and long-distance running. Mitochondrion. 2011;11:774–777. doi: 10.1016/j.mito.2011.05.009. - DOI - PubMed
    1. Guilherme JPLF, Bertuzzi R, Lima-Silva AE, Pereira A da C, Lancha AH., Junior Analysis of sports-relevant polymorphisms in a large Brazilian cohort of top-level athletes. Ann Hum Genet. 2018;82:254–264. doi: 10.1111/ahg.12248. - DOI - PubMed
    1. Ben-Zaken S, Meckel Y, Nemet D, Eliakim A. Genetic score of power-speed and endurance track and field athletes. Scand J Med Sci Sport. 2015;25:166–174. doi: 10.1111/sms.12141. - DOI - PubMed
    1. Rankinen T, Bouchard C. Gene-exercise interactions 1st ed.Vol. 108, Progress in molecular biology and translational science. Elsevier Inc. 2012:447–460. p. - PubMed