Identification of source populations for reintroduction in extinct populations based on genome-wide SNPs and mtDNA sequence: a case study of the endangered subalpine grassland butterfly Aporia hippia (Lepidoptera; Pieridae) in Japan

Author(s):  
Naoyuki Nakahama ◽  
Toshimichi Hanaoka ◽  
Tateo Itoh ◽  
Toshio Kishimoto ◽  
Atsushi Ohwaki ◽  
...  
2021 ◽  
Vol 7 (12) ◽  
pp. eabe7520
Author(s):  
Priyanka Nandakumar ◽  
Chao Tian ◽  
Jared O’Connell ◽  
David Hinds ◽  
Andrew D. Paterson ◽  
...  

The role of the nuclear genome in maintaining the stability of the mitochondrial genome (mtDNA) is incompletely known. mtDNA sequence variants can exist in a state of heteroplasmy, which denotes the coexistence of organellar genomes with different sequences. Heteroplasmic variants that impair mitochondrial capacity cause disease, and the state of heteroplasmy itself is deleterious. However, mitochondrial heteroplasmy may provide an intermediate state in the emergence of novel mitochondrial haplogroups. We used genome-wide genotyping data from 982,072 European ancestry individuals to evaluate variation in mitochondrial heteroplasmy and to identify the regions of the nuclear genome that affect it. Age, sex, and mitochondrial haplogroup were associated with the extent of heteroplasmy. GWAS identified 20 loci for heteroplasmy that exceeded genome-wide significance. This included a region overlapping mitochondrial transcription factor A (TFAM), which has multiple roles in mtDNA packaging, replication, and transcription. These results show that mitochondrial heteroplasmy has a heritable nuclear component.


BMC Genomics ◽  
2012 ◽  
Vol 13 (1) ◽  
pp. 506 ◽  
Author(s):  
Katherine H Fisher ◽  
Victoria M Wright ◽  
Amy Taylor ◽  
Martin P Zeidler ◽  
Stephen Brown
Keyword(s):  

2019 ◽  
Vol 35 (21) ◽  
pp. 4469-4471 ◽  
Author(s):  
Kristoffer Vitting-Seerup ◽  
Albin Sandelin

Abstract Summary Alternative splicing is an important mechanism involved in health and disease. Recent work highlights the importance of investigating genome-wide changes in splicing patterns and the subsequent functional consequences. Current computational methods only support such analysis on a gene-by-gene basis. Therefore, we extended IsoformSwitchAnalyzeR R library to enable analysis of genome-wide changes in specific types of alternative splicing and predicted functional consequences of the resulting isoform switches. As a case study, we analyzed RNA-seq data from The Cancer Genome Atlas and found systematic changes in alternative splicing and the consequences of the associated isoform switches. Availability and implementation Windows, Linux and Mac OS: http://bioconductor.org/packages/IsoformSwitchAnalyzeR. Supplementary information Supplementary data are available at Bioinformatics online.


2015 ◽  
Vol 112 (12) ◽  
pp. 3669-3673 ◽  
Author(s):  
Hannes Schroeder ◽  
María C. Ávila-Arcos ◽  
Anna-Sapfo Malaspinas ◽  
G. David Poznik ◽  
Marcela Sandoval-Velasco ◽  
...  

Between 1500 and 1850, more than 12 million enslaved Africans were transported to the New World. The vast majority were shipped from West and West-Central Africa, but their precise origins are largely unknown. We used genome-wide ancient DNA analyses to investigate the genetic origins of three enslaved Africans whose remains were recovered on the Caribbean island of Saint Martin. We trace their origins to distinct subcontinental source populations within Africa, including Bantu-speaking groups from northern Cameroon and non-Bantu speakers living in present-day Nigeria and Ghana. To our knowledge, these findings provide the first direct evidence for the ethnic origins of enslaved Africans, at a time for which historical records are scarce, and demonstrate that genomic data provide another type of record that can shed new light on long-standing historical questions.


2019 ◽  
Author(s):  
Amy L Cochran ◽  
Kenneth Nieser ◽  
Daniel B Forger ◽  
Sebastian Zöllner ◽  
Melvin G McInnis

AbstractGene-set analyses measure the association between a disease of interest and a set of genes related to a biological pathway. These analyses often incorporate gene network properties to account for the differential contributions of each gene. Extending this concept further, mathematical models of biology can be leveraged to define gene interactions based on biophysical principles by predicting the effects of genetic perturbations on a particular downstream function. We present a method that combines gene weights from model predictions and gene ranks from genome-wide association studies into a weighted gene-set test. Using publicly-available summary data from the Psychiatric Genetics Consortium (n=41,653; ~9) million SNPs), we examine an a priori hypothesis that intracellular calcium ion concentrations contribute to bipolar disorder. In this case study, we are able to strengthen inferences from a P-value of 0.081 to 1.7×10−4 by moving from a general calcium signaling pathway to a specific model-predicted function.


2021 ◽  
pp. 100229
Author(s):  
Sunita Kumari ◽  
Vivek Kumar ◽  
Kathleen Beilsmith ◽  
Samuel M D Seaver ◽  
Shane Canon ◽  
...  

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