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The diversity in genome resources is fundamental to designing genomic strategies for local breed improvement and utilisation. These resources also support gene discovery and enhance our understanding of the mechanisms of resilience with applications beyond local breeds. Here, we report the genome sequences of 555 cattle (208 of which comprise new data) and high-density (HD) array genotyping of 1,082 samples (537 new samples) from indigenous African cattle populations. The new sequences have an average genome coverage of ~30X, three times higher than the average (~10X) of the over 300 sequences already in the public domain. Following variant quality checks, we identified approximately 32.3 million sequence variants and 661,943 HD autosomal variants mapped to the Bos taurus reference genome (ARS-UCD1.2). The new datasets were generated as part of the Centre for Tropical Livestock Genetics and Health (CTLGH) Genomic Reference Resource for African Cattle (GRRFAC) initiative, which aspires to facilitate the generation of this livestock resource and hopes for its utilisation for complete indigenous breed characterisation and sustainable global livestock improvement. [ABSTRACT FROM AUTHOR]

Environmental adaptation traits of indigenous African cattle are increasingly being investigated to respond to the need for sustainable livestock production in the context of unpredictable climatic changes. Several studies have highlighted genomic regions under positive selection probably associated with adaptation to environmental challenges (e.g. heat stress, trypanosomiasis, tick and tick‐borne diseases). However, little attention has focused on pinpointing the candidate causative variant(s) controlling the traits. This review compiled information from 22 studies on signatures of positive selection in indigenous African cattle breeds to identify regions under positive selection. We highlight some key candidate genome regions and genes of relevance to the challenges of living in extreme environments (high temperature, high altitude, high infectious disease prevalence). They include candidate genes involved in biological pathways relating to innate and adaptive immunity (e.g. BoLAs, SPAG11, IL1RL2 and GFI1B), heat stress (e.g. HSPs, SOD1 and PRLH) and hypoxia responses (e.g. BDNF and INPP4A). Notably, the highest numbers of candidate regions are found on BTA3, BTA5 and BTA7. They overlap with genes playing roles in several biological functions and pathways. These include but are not limited to growth and feed intake, cell stability, protein stability and sweat gland development. This review may further guide targeted genome studies aiming to assess the importance of candidate causative mutations, within regulatory and protein‐coding genome regions, to further understand the biological mechanisms underlying African cattle's unique adaption. [ABSTRACT FROM AUTHOR]

Western Baggara cattle breed (WBCB) is an East African zebu inhabiting Sudan, well‐known as beef‐producing cattle. We investigated herein two phenotypically and geographically distinct populations of this breed, namely Nyalawi and Daeinawi, which are renowned for their unique meat production capabilities and adaptation attributes, with the aim to contribute to our understanding of their maternal genetic diversity and demography dynamics. Genetic polymorphism analysis of the full‐length D‐loop mtDNA region revealed 44 and 35 polymorphic sites defining 28 and 24 distinct haplotypes in the Nyalawi and the Daeinawi, respectively. Observed genetic diversity is high within the population with a low level of genetic differentiation between populations. Approximate Bayesian computation via the calculation of Bayesian skyline plots and neutrality tests support past expansion with a higher maternal effective population size (Ne) in Nyalawi compared with the Daeinawi population and a population expansion beginning around 4,500 YBP and 3,500 YBP, respectively, before the arrival of zebu into the continent. [ABSTRACT FROM AUTHOR]

The ever increasing applications of bioinformatics in providing effective interpretation of large and complex biological data require expertise in the use of sophisticated computational tools and advanced statistical tests, skills that are mostly lacking in the Sudanese research community. This can be attributed to paucity in the development and promotion of bioinformatics, lack of senior bioinformaticians, and the general status quo of inadequate research funding in Sudan. In this paper, we describe the challenges that have encountered the development of bioinformatics as a discipline in Sudan. Additionally, we highlight on specific actions that may help develop and promote its education and training. The paper takes the National University Biomedical Research Institute (NUBRI) as an example of an institute that has tackled many of these challenges and strives to drive powerful efforts in the development of bioinformatics in the country. Author summary: Bioinformatics is gaining recognition globally and in Sudan as an important subdiscipline of biological sciences, one that enables researchers to efficiently interpret complex biological data. A limited number of Sudanese academic institutions have acknowledged this field despite its increasingly recognized importance. The development of bioinformatics in the country requires interdisciplinary collaborations involving experts in life sciences, research methodology, healthcare, computer, and data sciences. This can be achieved through designing educational programs and workshops alongside proposing and establishing effective collaborative research projects. In this context, we comprehensively discussed the present state of bioinformatics in Sudan, the challenges faced, as well as the efforts exerted by academic institutions including NUBRI, to upgrade infrastructure and establish local and international collaborations. [ABSTRACT FROM AUTHOR]

Recently, Coronavirus has been given considerable attention from the biomedical community based on the emergence and isolation of a deadly coronavirus infecting human. To understand the behavior of the newly emerging MERS-CoV requires knowledge at different levels (epidemiologic, antigenic, and pathogenic), and this knowledge can be generated from the most related viruses. In this study, we aimed to compare between 3 species of Coronavirus, namely Middle East Respiratory Syndrome (MERS-CoV), Severe Acute Respiratory Syndrome (SARS-CoV), and NeoCoV regarding whole genomes and 6 similar proteins (E, M, N, S, ORF1a, and ORF1ab) using different bioinformatics tools to provide a better understanding of the relationship between the 3 viruses at the nucleotide and amino acids levels. All sequences have been retrieved from National Center for Biotechnology Information (NCBI). Regards to target genomes' phylogenetic analysis showed that MERS and SARS-CoVs were closer to each other compared with NeoCoV, and the last has the longest relative time. We found that all phylogenetic methods in addition to all parameters (physical and chemical properties of amino acids such as the number of amino acid, molecular weight, atomic composition, theoretical pI, and structural formula) indicated that NeoCoV proteins were the most related to MERS-CoV one. All phylogenetic trees (by both maximum-likelihood and neighbor-joining methods) indicated that NeoCoV proteins have less evolutionary changes except for ORF1a by just maximum-likelihood method. Our results indicated high similarity between viral structural proteins which are responsible for viral infectivity; therefore, we expect that NeoCoV sooner may appear in human-related infection. [ABSTRACT FROM AUTHOR]

We report here the whole-genome sequence of Escherichia coli NUBRI-E, a representative of E. coli clone O25:H4 sequence type 131 with bla CTX-M-15 , which was obtained from a Sudanese patient with a urinary tract infection., (Copyright © 2020 Mohamed et al.)

Pseudomonas aeruginosa is a common nosocomial pathogen often associated with a high mortality rate in vulnerable populations. Here, we describe the genomic sequence of a pan-resistant, high-risk clone of P. aeruginosa sequence type 111 (ST111) isolated from a hospital patient in Sudan., (Copyright © 2019 Mohamed et al.)

Acinetobacter baumannii has emerged as an important pathogen leading to multiple nosocomial outbreaks. Here, we describe the genomic sequence of a multidrug-resistant Acinetobacter baumannii sequence type 164 (ST164) isolate from a hospital patient in Sudan. To our knowledge, this is the first reported draft genome of an A. baumannii strain isolated from Sudan., (Copyright © 2019 Mohamed et al.)

Klebsiella pneumoniae is an opportunistic pathogen that accounts for a significant proportion of hospital-acquired infections and is a leading cause of nosocomial outbreaks. Here, we describe the genomic sequence of a highly resistant K. pneumoniae sequence type 14 (ST14) strain isolated from Sudan., (Copyright © 2019 Mohamed et al.)