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Induced pluripotent stem cells (iPSCs) are a promising cell source for regenerative medicine. However, their feeder-free maintenance in undifferentiated states remains challenging. In recent past extensive studies have been directed using pristine or functionalized carbon nanotube in tissue engineering. Here we proposed thin films of functionalized carbon nanotubes (OH-single-walled CNTs [SWCNTs] and OH-multiwalled CNTs [MWCNTs]), as alternatives for the feeder-free in vitro culture of canine iPSCs (ciPSCs), considered as the cellular model. The ciPSC colonies could maintain their dome-shaped compactness and other characteristics when propagated on CNT films. Concomitantly, high cell viability and upregulation of pluripotency-associated genes and cell adhesion molecules were observed, further supported by molecular docking. Moreover, CNTs did not have profound toxic effects compared to feeder cultures as evident by cytocompatibility studies. Further, cardiac and neuronal differentiation of ciPSCs was induced on these films to determine their influence on the differentiation process. The cells retained differentiation potential and the nanotopographical features of the substrates provided positive cues to enhance differentiation to both lineages as evident by immunocytochemical staining and marker gene expression. Overall, OH-SWCNT provided better cues, maintained pluripotency, and induced the differentiation of ciPSCs. These results indicate that OH-functionalized CNT films could be used as alternatives for the feeder-free maintenance of ciPSCs towards prospective utilization in regenerative medicine. Nanomaterial-based culture substrates with desirable biocompatibility could facilitate the development of a feeder-free culture system for iPSCs. In this study, canine iPSCs were generated and maintained on (−OH) functionalized CNT thin films as an alternative to biological feeders. The iPSC colonies could retain their hemi-round morphology and pluripotency during long term maintenance on these substrates. Besides upregulation of pluripotency-associated genes and cell adhesion molecules, CNTs did not have profound toxic effects. Moreover, the cells harvested from them and induced to differentiate on the same CNT substrates provided a positive cue in accelerating the in vitro cardio-neuronal differentiation process. These results indicate that OH-functionalized CNT films could be used as alternatives for the feeder-free maintenance of iPSCs towards prospective utilization in regenerative medicine. [Display omitted] [ABSTRACT FROM AUTHOR]

• Feeder-free in vitro maintenance of induced pluripotent stem cells (iPSC) remains challenging. • Long term propagation of canine iPSCs (ciPSCs) was done on (COOH) functionalized CNT substrates where cells could able to maintain the characteristics of iPSCs. • CNT substrates did not have profound cytotoxicity and upregulation of pluripotency-associated genes was noticed in ciPSCs. • The ciPSCs retained cardiac differentiation potential as evident by immunocytochemical staining and marker gene expression. • The present study indicated that (COOH) functionalized CNTs can be used as xeno-free substrate to support the in vitro maintenance of iPSCs. Induced pluripotent stem cells (iPSCs) have attracted an interest for personalized cell based therapy along with various other applications. There have been few studies that effective nanomaterial based scaffolds act as alternative to the commonly used feeder dependent in vitro maintenance of iPSCs. The present study provides the fundamental information on ex vivo behavior of canine iPSC (ciPSCs) maintained on carboxylic acid (COOH) functionalized single-walled carbon nanotubes (COOH-SWCNTs) and multi-walled carbon nanotubes (COOH-MWCNTs) substrates. Here in we evaluated the comparative colony morphology, propagation, characterization, cytocompatibility and differentiation capability of ciPSC cultured on MEF feeder taken as control, and COOH-SWCNTs and COOH-MWCNTs substrates. We observed a healthy growth of ciPSCs on both the types of carbon nanotubes (CNTs) similar to feeder. The ciPSC colonies grown on both CNTs were positive for alkaline phosphatase staining and expressed pluripotent markers with notable significance. Further, the ciPSC colonies grew on these CNTs retained the in vitro differentiation ability into three germ layers as well as cardiac cell. Cytotoxicity analysis revealed that (COOH) functionalized CNTs provided a culture condition of low cytotoxicity. The results of the present study indicated that (COOH) functionalized CNTs could be used as xeno-free substrate to support the maintenance of iPSCs. [ABSTRACT FROM AUTHOR]

• The review highlights the potential applications of genomic techniques in conservation purposes as well as discusses few case studies regarding the applications of conservation genomics in livestock and wildlife species. • Advancements in next-generation sequencing (NGS) technologies has generated a massive amount of data that is more fine-scaled and accurate and has thus resulted in more and more species becoming "genome enabled" • The conservation genetics-based "one gene, many individuals" strategy has given way to a conservation genomics-based "few individuals, several genes" approach. Due to environmental change and anthropogenic activities, global biodiversity has suffered an unprecedented loss, and the world is now heading toward the sixth mass extinction event. This urges the need to step up our efforts to promote the sustainable use of animal genetic resources and plan effective strategies for their conservation. Although habitat preservation and restoration are the primary means of conserving biodiversity, genomic technologies offer a variety of novel tools for identifying biodiversity hotspots and thus, support conservation efforts. Conservation genomics is a broad area of science that encompasses the application of genomic data from thousands or tens of thousands of genome-wide markers to address important conservation biology concerns. Genomic approaches have revolutionized the way we understand and manage animal populations, providing tools to identify and preserve unique genetic variants and alleles responsible for adaptive genetic variation, reducing the deleterious consequences of inbreeding, and increasing the adaptive potential of threatened species. The advancement of genomic technologies, particularly comparative genomic approaches, and the increased accessibility of genomic resources in the form of genome-enabled taxa for non-model organisms, provides a distinct advantage in defining conservation units over traditional genetics approaches. The objective of this review is to provide an exhaustive overview of the concept of conservation genomics, discuss the rationale behind the transition from conservation genetics to genomic approaches, and emphasize the potential applications of genomic techniques for conservation purposes. We also highlight interesting case studies in both livestock and wildlife species where genomic techniques have been used to accomplish conservation goals. Finally, we address some challenges and future perspectives in this field. [ABSTRACT FROM AUTHOR]

[Display omitted] • Composition of dairy, swine and poultry farm wastewater is discussed. • Annamox and genetically modified bacteria-based treatment strategies are covered. • Microalgal, oxidation and membrane-based wastewater treatment are also discussed. • Bioplastic, biofertilizer and biofuel can be produced from farm wastewater. • Microalgal-microbial fuel cells can be developed using livestock wastewater. Livestock and poultry wastewater poses a potent risk for environmental pollution accelerating disease load and premature deaths. It is characterized by high chemical oxygen demand, biological oxygen demand, suspended solids, heavy metals, pathogens, and antibiotics, among other contaminants. These contaminants have a negative impact on the quality of soil, groundwater, and air, and is a potential hazard to human health. Depending on the specific characteristics of wastewater, such as the type and concentration of pollutants present; several physical, chemical and biological strategies have been developed for its treatment. This review aims at providing comprehensive overview of the profiling of livestock wastewater from the dairy, swine and poultry sub-sectors along with the biological, physico-chemical, AI-based and integrated treatment methodologies, and valorisation for the generation of value-added products such as bioplastics, biofertilizers, biohydrogen and microalgal-microbial fuel cells. Additionally, future perspectives for efficient and sustainable wastewater treatment are contemplated. [ABSTRACT FROM AUTHOR]

• Haplotype structure was elucidated in Vrindavani cattle via sliding window approach. • Haplotype-based association analysis was undertaken with (re)production traits. • Haplotypes showed significant association with AFC, TLMY, PY, DD, ICP and SP. • Overlapping candidate genes revealed pathways affecting the (re)production performance. Haplotype-based association analysis promises to reveal important information regarding the effect of genetic variants on economic traits of interest. The present study aimed to evaluate the haplotype structure of Vrindavani cattle and explore the association of haplotypes with (re)production traits of economic interest. Genotyping array data of medium density (Bovine50KSNP BeadChip) on 96 randomly selected Vrindavani cows was used in the present study. Genotypes were called in GenomeStudio program while quality control was undertaken in PLINK using standard thresholds. The phenotypic traits used in the present study included age at first calving, dry days, lactation length, peak yield, total lactation milk yield, inter-calving period and service period. The haplotype structure of Vrindavani population was assessed, using a sliding window of 20 SNP with a shift of 5 SNPs at a time, in terms of the size of haplotype blocks regarding their length (in Kb) and frequency in chromosome-wise fashion. Haplotype blocks were assessed for possible association with important production and reproduction traits across three lactation cycles in Vrindavani cattle population. The first ten principal components were included in the model for haplotype-based association analysis to correct for stratification effects of assessed individuals. Multiple haplotypes were found to be associated with age at first calving, total lactation milk yield, peak yield, dry days, inter-calving period and service period. Various candidate genes were found to overlap haplotypes that were significantly associated with age at first calving (CDH18, MARCHF11, MYO10, FBXL7), total lactation milk yield (TGF, PDE1A, and COL8A1), peak yield (PPARGC1A, RCAN1, KCNE1, SMIM34 and MRPS6), dry days (CPNE4, ACAD11 and MRAS), inter-calving period (ABCG5, ABCG8 and COX7A2L) and service period (FOXL2 and PIK3CB). The putative candidate genes overlapping the significantly associated haplotypes revealed important pathways affecting the production and reproduction performance of animals. The identified genes and pathways may serve as good candidate markers to select animals for improved production and reproduction performance in future generations. [ABSTRACT FROM AUTHOR]

• The review covers livestock genomics of South Asian cattle, buffalo, sheep, goat, pig, camel, horse, yak, mithun, and poultry. • Advancements in next-generation sequencing (NGS) technologies led to the discovery of numerous SNP arrays for different livestock species. • The application of genomics in animal breeding has had the biggest economic impact on livestock production. Livestock plays a central role in sustaining human livelihood in South Asia. There are numerous and distinct livestock species in South Asian countries. Several of them have experienced genetic development in recent years due to the application of genomic technologies and effective breeding programs. This review discusses genomic studies on cattle, buffalo, sheep, goat, pig, horse, camel, yak, mithun, and poultry. The frontiers covered in this review are genetic diversity, admixture studies, selection signature research, QTL discovery, genome-wide association studies (GWAS), and genomic selection. The review concludes with recommendations for South Asian livestock systems to increasingly leverage genomic technologies, based on the lessons learned from the numerous case studies. This paper aims to present a comprehensive analysis of the dichotomy in the South Asian livestock sector and argues that a realistic approach to genomics in livestock can ensure long-term genetic advancements. [ABSTRACT FROM AUTHOR]

• We elucidated putative CNVs and CNV regions in Vrindavani cattle using Bovine SNP50 genotyping data. • 252 putative CNVs were detected which further concatenated into 69 CNVRs. • Five CNVRs were significantly associated with 10 (re)production traits in Vrindavani population. • The study provides useful insights to establish the comprehensive CNV map of Vrindavani population for association studies. The present study was aimed to analyze the genome-wide copy number variations (CNVs) in Vrindavani composite cattle and concatenate them into CNV regions (CNVRs), and finally test the association of CNVRs with different production and reproduction traits. Genotypic data, generated on BovineSNP50 Beadchip (v3) array for 96 Vrindavani animals, was used to elucidate the CNVs at the genome level. Intensity data covering over 53,218 SNP genotypes on bovine genome was used. Algorithm based on Hidden Markov Model was employed in PennCNV program to detect, normalize and filter CNVs across the genome. 252 putative CNVs, detected via PennCNV program, in different individuals were concatenated into 71 CNV regions (CNVRs) using CNVRuler program. Association of CNVRs with important (re)production traits in Vrindavani animals was assessed using linear regression. Five CNVRs were found to be significantly associated with ten important (re)production traits. The genes harbored in these regions provided useful insights into the association of CNVRs with genes and ultimately the variation at phenotype level. Important genes that overlapped with CNVRs included WASHC4, HS6ST3, MBNL2, TOLLIP, PIDD1 and TSPAN4. Furthermore, the CNVRs were found to overlap with important QTLs available in AnimalQTL database which affect milk yield and composition along with reproduction and immune function traits. The copy number states of three enes were validated using digital droplet PCR technique. The results from the present study significantly enhance the understanding about CNVs in Vrindavani cattle and should help establish its CNV map. The study will also enable further investigation on association of these variants with important traits of economic interest including disease incidence. [ABSTRACT FROM AUTHOR]

• We merged extracted datasets of 11 cattle breeds with our own generated Tharparkar genotypic data to obtain a final dataset of 284 animals. • The PCA indicates the partitioning between Exotic and Indigenous cattle breeds on the two PC axis. • We used several statistical tools (eight) to find out and verify more genomic footprints. • More number of short ROHs in Tharparkar shows a more historical relationship. • Combined analysis of all the methods may provide refined information about selective sweep regions in different methods. • We extracted out various candidate genes associated with economically important traits. In the present study, the population genomic data of different cattle breeds were explored to decipher the genomic regions affected due to selective events and reflected in the productive, reproductive, thermo-tolerance, and health-related traits. To find out these genomic deviations due to selective sweeps, we used eight different statistical tools (Tajima's D, Fu & Li's D*, CLR, ROH, iHS, F ST , FLK, and hapFLK) on seven indigenous and five exotic cattle breeds. We further performed composite analysis by comparing their covariance matrix. Several candidate genes were found to be related to milk production (ADARB, WDR70, and CA8), reproductive (PARN, FAM134B2, and ZBTB20), and health-related traits (SP110, CXCL2, CLXCL3 , CXCL5 , IRF8, and MYOM1). The outcome of this investigation provides a basis for detecting selective sweeps that explain the genetic variation of traits. They may possess functional importance for multiple cattle breeds in different subcontinents. However, further studies are required to improve the findings using high-density arrays or whole-genome sequencing with higher resolution and greater sample sizes. [ABSTRACT FROM AUTHOR]

• The Indian Ghurrah pig has a mixture of European and Asian inheritance. • Analysis traced European admixture to the recent past. • Signs of interspecies introgression was detected in admixture analysis. • Ghurrah and Asian pigs show divergence in genomic regions governing teeth development. The evolution and domestication of pigs is a complex and ongoing process. Despite its rich biodiversity and proximity to the geographical origins of Sus scrofa domesticus, the place of Indian pigs in the global phylogeny is unclear. Using microarray-derived (porcine 60K SNP chip) genotypes of 11 Ghurrah pigs from North-Western India and a public dataset comprising 2113 pigs of 146 breeds, we determined the genomic ancestry of Ghurrah pigs and compared their genetic constitution to European and Asian breeds to ascertain signatures of divergent selection. Results showed that Ghurrah pigs contain genes of Asian and European ancestry with signs of inter-species introgression. Using Admixture LD – decay statistics, the European admixture event was dated to the recent past, coinciding with the start of cross-breeding efforts in India. The complex Asian ancestry pattern of the breed resembled that of wild boars of South – Central China and Thailand, possibly suggesting introgression from an Indian wild boar relative. Signatures of selection analysis showed the divergence of Ghurrah pigs from Asian and European breeds in genomic regions associated with odontogenesis, and nervous system processess, respectively. Our results present the first genomic characterization of an Indian pig breed using dense microarray-derived genotypes and highlight the importance of further genomic characterization of Indian domestic and wild pigs. Given the limited sample size available for this study, validation of the findings in a larger population is suggested. [ABSTRACT FROM AUTHOR]

• We have identified genes by GWAS which are involved in well-established MAPK and PI3K-AKT signalling pathways, affecting biochemical process of coat colour production. • Due to introduction of exotic blood to continue the process of development of Vrindavani cattle, a very low F ST value was observed suggesting outbreeding of the population. • This work provides a preliminary information to carry forward researches on genomic basis of coat colour patterns in crossbred cattle Coat colour and various patterns are the hallmarked qualitative traits studied in cattle as well as other livestock; however, variation in this trait is resultant of interactions and epistasis of a set of genes rather than being a product of a single gene. In this study, GWAS has been conducted from 50K SNP genotype data, with a stratified approach on Vrindavani cattle (n=48). The study was conducted in two sets of an experiment wherein set I treats all the solid colours (n=18) as controls and rest spotted or patchy types as cases (n=30), and set II treats brown and brown with white spots as controls (n=15), and rest as cases (n=33). After quality check (MAF>0.01, genotyping rate>90%, and H-W equilibrium at p≤ 0.001) of genotype data, 37247 SNPs were further used for accomplishing Genome-Wide Association Study (GWAS) with coat colour. The distinct phenotypes were classified into four different sub-groups that are solid black, black with white patches, solid brown, and brown with white patches along with greyish white. The allele frequency difference was checked in all sub-groups. The GWAS was conducted in PLINK v1.7 and for graphical representation R was used. Two SNPs in set I and 20 in set II were found to be significantly associated with coat colour in Vrindavani cattle. A ±500 Kb genome scan around the significant SNPs revealed gene BDNF for SNP DIAS-217 in set I and FGF18 for SNP ARS-BFGL-NGS-105192, and CACNA2D1 , and HGF for SNP BTB-01885061 in set II, are present around these SNPs. In KEGG-based pathway enrichment analysis, all the above-mentioned genes were found to be involved in well-established MAPK and PI3K-AKT signalling pathways, affecting the biochemical process of coat colour production. Genome-wide F ST values were low to moderate across the genome, however few associated SNPs had moderate to high F ST values indicating their power in differentiating the subgroups according to coat colour phenotype. This study provides a preliminary report of markers and genes involved in coat colour expression and revealed that the reported genes around the associated SNPs are involved in brown with white spotting phenotype. However, further researches in this field are essential for a more conclusive result. [ABSTRACT FROM AUTHOR]

• Combination of MAF-LD with Delta, F ST & FIFS methods enabled the selection of SNPs for breed purity. • 582 SNPs accurately assigned individuals to their respective breeds. • 63 Tharparkar-specific SNPs annotate to candidate genes of important phenotypic traits. Tharparkar cattle breed is widely known for its superior milch quality and hardiness attributes. This study aimed to develop an ultra-low density breed-specific single nucleotide polymorphism (SNP) genotype panel to accurately quantify Tharparkar populations in biological samples. In this study, we selected and genotyped 72 Tharparkar animals randomly from Cattle & Buffalo Farm of IVRI, India. This Bovine SNP50 BeadChip genotypic datum was merged with the online data from six indigenous cattle breeds and five taurine breeds. Here, we used a combination of pre-selection statistics and the MAF-LD method developed in our laboratory to analyze the genotypic data obtained from 317 individuals of 12 distinct breeds to identify breed-informative SNPs for the selection of Tharparkar cattle. This methodology identified 63 unique Tharparkar-specific SNPs near intermediate gene frequencies. We report several informative SNPs in genes/QTL regions affecting phenotypes or production traits that might differentiate the Tharparkar breed. [ABSTRACT FROM AUTHOR]

• The natural and artificial selection are expected to impose pressure on specific genomic regions and leave footprints called as "selection signatures" • We identified selective sweep regions based on Runs of Homozygosity (ROH) and Integrated Haplotype Score (iHS) • Highlighted candidate genes related to adaptation and production traits Knowledge about genetic diversity and selection signatures are very essential for the management and sustainable utilization of sheep genetic resources in India. In this study, we performed a comprehensive genome-wide analysis of genetic diversity and selection signatures using SNP data. A total of 79 animals from three Indian sheep breeds: Changthangi (n = 29), Deccani (n = 24), and Garole (n = 26) genotyped with Illumina Ovine SNP50 BeadChip were included in this study. The average minor allele frequency was 0.284 with a standard deviation of 0.129. The overall mean observed (H O) and expected heterozygosity (H E) were 0.369±0.141 and 0.373±0.118, respectively. The proportion of polymorphic SNPs (P N) ranged from 0.84 (Garole) to 0.93 (Changthangi). The average pairwise genetic distance (D) ranged from 0.301 (Garole) to 0.313 (Changthangi). We identified a total of 9244 ROH segments and the genomic inbreeding coefficients ranged from 0.0673 (Deccani) to 0.1779 (Garole). Two different statistical approaches (ROH and iHS) revealed selection signatures in 37 genomic regions mapping to 188 genes across 16 of the 26 autosomes in three sheep breeds. The selective sweeps provide new insights into the local adaptation and production potential of three Indian sheep breeds. Some notable candidate genes include the TRPM8 gene involved in cold adaptation, JADE2, PLEKHB2, SPP2, TSHR, and UBE2B genes associated with meat quality traits, and the PPP3CA gene associated with fecundity. [ABSTRACT FROM AUTHOR]

• Owing to developments in high-throughput technologies, the genome-wide detection of selection signatures has become more common in recent years • Various statistical methods have been developed for the identification of selection signatures based on site frequency spectrum, linkage disequilibrium, reduced local variability, and population differentiation. • In future, the advanced Machine Learning enabled neural networks can also be applied in livestock populations to handle large &complex data sets efficiently and to improve the accuracy of detection of selection signals. • In this review, we have discussed the results of significant studies done in the recent years. Livestock populations have been consistently improving in terms of performance and productivity by selective breeding over the centuries. These selection strategies are expected to leave footprints in the genome that are identified as selection signatures. Due to advances in high-throughput technologies, the genome-wide detection of selection signatures has become more widespread in recent years. Such studies provide insights into the domestication and evolutionary processes that resulted in a huge number of livestock breeds able to live in diverse environments and production systems. Furthermore, these studies facilitate the identification of candidate genes under selection that are associated with economically important traits in livestock populations. Various statistical methods have been developed for the detection of selection signatures based on site frequency spectrum, linkage disequilibrium, reduced local variability, and population differentiation. The objectives of this review are to give a comprehensive overview of the general concept, various methodologies, and bioinformatics tools currently available for the detection of selective sweeps and to summarize the results of recent selection signature studies carried out in various livestock species. [ABSTRACT FROM AUTHOR]