Table of Contents Author Guidelines Submit a Manuscript
International Journal of Genomics
Volume 2016 (2016), Article ID 3460416, 8 pages
Review Article

Overview on the Role of Advance Genomics in Conservation Biology of Endangered Species

1The Key Laboratory of Aquatic Biodiversity and Conservation, Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei 430072, China
2Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
3Center for Human Genome Research, Cardio-X Institute, Huazhong University of Science and Technology, Wuhan 430074, China
4National Key Laboratory of Crop Genetic Improvement, College of Plant Sciences and Technology, Huazhong Agricultural University, Wuhan 430070, China
5Institute of Biotechnology and Genetic Engineering, The University of Agriculture, Peshawar 25000, Pakistan

Received 21 July 2016; Revised 23 October 2016; Accepted 8 November 2016

Academic Editor: Hieu Xuan Cao

Copyright © 2016 Suliman Khan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


In the recent era, due to tremendous advancement in industrialization, pollution and other anthropogenic activities have created a serious scenario for biota survival. It has been reported that present biota is entering a “sixth” mass extinction, because of chronic exposure to anthropogenic activities. Various ex situ and in situ measures have been adopted for conservation of threatened and endangered plants and animal species; however, these have been limited due to various discrepancies associated with them. Current advancement in molecular technologies, especially, genomics, is playing a very crucial role in biodiversity conservation. Advance genomics helps in identifying the segments of genome responsible for adaptation. It can also improve our understanding about microevolution through a better understanding of selection, mutation, assertive matting, and recombination. Advance genomics helps in identifying genes that are essential for fitness and ultimately for developing modern and fast monitoring tools for endangered biodiversity. This review article focuses on the applications of advanced genomics mainly demographic, adaptive genetic variations, inbreeding, hybridization and introgression, and disease susceptibilities, in the conservation of threatened biota. In short, it provides the fundamentals for novice readers and advancement in genomics for the experts working for the conservation of endangered plant and animal species.

1. Introduction

Anthropogenic activities have changed the global environment, reducing the biodiversity through extinction and also reducing the population size of already surviving species. Due to man-made activities and interruptions, the current rate of species extinction is 1,000 times higher than natural background rates of extinction and future rates are likely to be 10,000 times higher [1]. According to IUCN 2015 report, currently 79,837 species were assessed, of which 23,250 are threatened with extinction. Only one-third of the world’s freshwater fishes are at risk from hydropower dam expansion [2]. According to various estimates, each year few thousands to 100,000 species extinct, most without ever having been scientifically described [3]. Due to these tremendous anthropogenic activities, the notion has been emerged that earth biota is entering a “sixth” mass extinction [4] which is based on the facts that recent rates of species extinction are very high than prehuman background rates [5, 6]. Only in the Island of Tropical Oceana, 1800 bird species were reported to extinct in approximately 2000 years, since human colonization [7]. Even in the scientifically advanced 19th and 20th centuries, numerous species of birds, mammals, reptiles, fresh water fishes, amphibians, and other organisms extinction have been documented [5, 8, 9]. If species extinction persists at such a tremendous speed, future generation will occupy a planet with significantly reduce biodiversity, diminished ecosystem services, reduced evolutionary potential, and ultimately higher extinction rate and collapse ecosystem [3, 10].

It is a major challenge for biologists and ecologists to protect endangered species. Several measures have been taken and efforts done in this regard which is extensively described in literature such as population viability analysis, formulation of metapopulation theory, species conservation, contribution of molecular biology, development of global position system, geographical information system, and remote sensing [11]. In the recent era, genomics is a key part of all the biological sciences and a quickly changing approach to conservation biology. The genomes of many thousands of organisms including plants, vertebrates, and invertebrates have been sequenced and the results augmented, are annotated, and are refined through the use of new approaches in metabolomics, proteomics, and transcriptomics that enhance the characterization of metabolites, messenger RNA, and protein [12]. The genomic approaches can provide detail information about the present and past demographic parameters, phylogenetic issues, the molecular basis for inbreeding, understanding genetic diseases, and detecting hybridization/introgression in organisms [13]. It can also provide information to understand the mechanisms that relate low fitness to low genetic variation, for integrating genetic and environmental methodologies to conservation biology and for designing latest, fast monitoring tools. The rapid financial and technical progress in genomics currently makes conservation genomics feasible and will improve the feasibility in the very near future even [14]. The objective of this review is to describe recently advanced molecular technologies and their role in species conservation. We have described the effectiveness and possibility of conservation technology using the advance genomic approaches along with their limitations and future development. We hope that this review will provide fundamentals and new insights to both new readers and experienced biologists and ecologists in formulating new tools and establishing technologies to prevent endangered species.

2. Biodiversity and Conservation

Biodiversity refers to the variety of all forms of life on this planet, including various microorganisms, plants, animals, the ecosystem they form, and the genes they contain. Biodiversity within an area, biome, or planet is therefore considered at three levels including species diversity, genetic diversity, and ecosystem diversity [15]. As the names indicate, species diversity refers to the variety of species; genetic diversity is the variation of genes within species and populations and ecosystem diversity relates to the variety of habitats, ecological processes, and biotic communities in the biosphere [15]. Today’s biodiversity about 9.0 to 52 million species is the result of billions of years of evolution, shaped by natural phenomena, and forms the web of life of which we are an integral part and upon which we are so fully [15, 16]. For species adaptation and survival, genetic diversity is the basic element and all the evolutionary achievement and to some degree survival depend on it. Though both adaptation and survival can be viewed in terms of space, time, and fitness but fitness further includes adaptation, genetic variability, and stability. The phenomenon of extinction can be the result of either abiotic or biotic stresses, caused by various factors such as disease, parasitism, predation, and competition or due to habitat alteration or isolation due to human activities, natural catastrophes, and slow climatic and geological changes. Considering these persistent threats, it is very crucial that genetic diversity in species should be appropriately understood and efficiently conserved and used [17].

At present, several species are in retreat, losing localities, and increasingly threatened with extinction by various factors mainly human intervention, and thus conservation biology has become a major file in recent times. A “threatened” designation generally recognizes a significant risk of becoming endangered throughout all or a portion of a species’ range. Although extinction is a natural process, the human understanding of the value of the endangered species and its realization to intervene the stability of the environment is rapidly increasing. Human interferes in the natural environment of species in different ways, such as destruction of natural habitat, the introduction of nonnative organisms, and direct killing of natural components of a population [18]. Maintaining natural variation of species is beneficial from an economical, ecological, and social perspective. Several combinations of benefit occur for any particular species, and some species are obviously more valuable than the others.

Currently, the maintenance of rare and endangered species is a main focus of interest of biologists and geneticists. The impact of extinction is not always apparent and difficult to predict, and thus several parameters have been set and different technologies are being developed. For example, population viability analysis (PVA) quantitatively predicts the probability of extinction and prioritizes the conservation needs. It takes into account the combined impact of both stochastic (including the demography, environment, and genetics) and terministic (including habitat loss and overexploitation) factors [11]. Mandujano and Escobedo-Morales using PVA method for howler monkeys (Alouatta palliata mexicana) to simulate a group trend and local extinction and to investigate the role of demographic parameters to population growth under two landscape scenarios isolated populations and metapopulation [19]. They found that the rate of relative reproductive success and fecundity is directly linked with the number of adult females per fragment. As a result, the finite growth rate depended mainly on the survival of adult females while in both isolated populations and metapopulation the probability of extinction was exponentially dependent on fragment size. Further, it establishes a minimum viable population, predicts population dynamics, establishes conservation management programs, and evaluates its strategies. However, it is limited by several factors; for example, it is often very difficult to measure small-population parameters which need to be used in PVA models. This necessitates the development of more comprehensive and well-established approaches that can not only predict the extinction but also predict rather at a very early stage.

3. Role of Genomics Analysis Tools in Species Conservation

The term genome is about 75 years old and refers to the total set of genes on chromosomes or refers to the organism complete genetic material [20]. Together with the effect of an environment, it forms the phenotype of an individual. Thomas Roderick in 1986 coined the term genomics as a scientific discipline which refers to the mapping, sequencing, and analysis of the genome [21]. Now due to universal acceptance of genomics, it expands and is generally divided into functional and structural genomics. Structural genomics refers to the evolution, structure, and organization of the genome while functional genomics deals with the expression and function of the genome. Functional genomics needs assistance from structural genomics, mathematics, computer sciences, computational biology, and all areas of biology [22].

Genome analysis was once limited to model organisms [23] but now the genomes of thousands of organisms including plants, invertebrates, and vertebrates have been sequenced and the results annotated are further refined and augmented by using new approaches in metabolomics, proteomics, and transcriptomics [12]. Nowadays, it is quite easier to investigate the population structure, genetic variations, and recent demographic events in threatened species, using population genomic approaches. With recent developments, hints for becoming endangered species can be found in their genome sequences. For example, any deleterious mutations in the genes for brain function, metabolism, immunity, and so forth can be easily detected by advanced genomic approaches. Conversely, these can also detect any changes in their genome which may result in enhanced functions of some genes, for example, related to enhanced brain function and metabolism that may lead to the abnormal accumulation of toxins [2426]. Specific genetic tools and analytical techniques are used to assess the genome of various species to detect genetic variations associated with specific conservation and population structure. Currently, most commonly used genetic tools for detection of genetic variations in both plant and animal species include random fragment length polymorphism (RFLP), amplified fragment length polymorphism (AFLP), random amplification of polymorphic DNA (RAPD), single strand conformation polymorphism (SSCP), minisatellites, microsatellites, single nucleotide polymorphisms (SNPs), DNA and RNA sequence analysis, and DNA finger printing. Analysis of genetic variation in species or population using these tools is carried out either using current DNA of individuals or historic DNA [27]. These tools target different variables within the genome of target species and selection of the specific tools and gnome part to be analyzed is carried out based on the available information. For example, mitochondrial DNA in animals possessing a high substitution rate is a useful marker for the determination of genetic variations in individuals of the same species. However, these techniques have several limitations associated with them. For instance, genetic high substitution rate in animal mitochondrial DNA is only inherited in female lines. Similarly, the mitochondrial DNA in plants has a very high rate of structural mutations and thus can rarely be used as genetic marker for detection of genetic variation. Various genomic tools used for the detection of genetic variations in species and limitations associated with them are summarized in Figure 1. Genome-wide association studies (GWAS), development of genome-wide genetic markers for DNA profiling and marker assisted breeding, and quantitative trait loci (QTL) analysis in endangered and threatened species can give us information about the role of natural selection at the genome level and identification of loci linked with the disease susceptibility, inbreeding depression, and local adaptations. For example, most of the QTLs have been detected using linkage mapping and cover large segments of the genome in different species. Currently, due to the availability of high-density SNP chips and genome-wide analysis techniques, GWAS has proven to be effective in identification of important genomic regions more precisely within the genome of species, for example, those associated with genetic variations and important qualitative and quantitative traits [28]. Further, use of population genetics and phylogenomics can help us in identifying conservation units for recovery, management, and protections [23]. As the genome of more species is sequenced, the rescue of more endangered species will become easier. The applications of advance genomics in the conservation of threatened biota are illustrated in Figure 2.

Figure 1: Illustration of various genetic tools for detection of genetic variations in species and their limitations in broad spectrum applications.
Figure 2: Illustration of advance genomic approaches for the conservation of species.
3.1. Demography

To identify recent and historic demographic events such as geographic population structure, gene flow, admixture, and population size fluctuations, specific genetic markers such as silent sites and microsatellites have been traditionally used. Although traditional molecular approaches have successfully analyzed and modeled complex demography histories, effective population size, nucleotide diversity, and recombination, genomics have provided a greater statistical and analytical power [29]. Genomics can also provide information about speciation time, recombination rates, origin, relationship, and estimation of current and ancestral effective population size [30, 31]. Similarly, population genomics can improve our understanding about microevolution through a better understanding of recombination, assertive matting, mutation, and selection which helps us in identifying genes that are crucial for adaptation and fitness [32]. Future genetic analysis using SNPs can be of more advantage in determination of genome structure in regions with high linkage disequilibrium (LD) and low haplotype number in order to accelerate and optimize gene mapping based on genetic association, for example, finding relatively frequent variants associated with complex traits. However, this requires extensive knowledge of the LD patterns in the genome. It has been suggested that LD in genomes can be organized as a pattern of blocks of different length possessing limited diversity and separated by regions of low LD. Such structure can be the result of a number of possible mechanisms, one of which is recombination hotspots [33].

3.2. Adaptive Genetic Variations

Selective forces shape adaptive variations and identification of these adaptive loci is one of the most crucial focuses of genomics in conservation and evolution [34]. Genomics can help us to identify genetic changes resulting from local adaptation and the way these alterations influence fitness, through access to genome-wide data and annotated genomes in wild species. This information will not only help in defining conservation units [35] but also provide information about population potentials to respond to changing environmental condition [36]. Similarly, understanding the relationship between local adaptation and geographic distribution of loci will also benefit to evaluate habitat requirements for population persistence and the ecological exchangeability of divergent populations [37].

Various techniques are used to identify genetic regions associated with the adaptive traits. The most frequently used method is QTL [38], which has been used for many wild species such as cave tetra fish [39], deer mouse [40], and the zebra finch [41]. For example, the yield improvement of several crops such as wheat and maize has been made possible through the indirect manipulation of QTLs that control the heritable variability of the traits and physiological mechanisms [42, 43]. The conventional approaches of crop improvement such as breeding were based on little or no knowledge of the factors governing the genetic variability [44]. However, the conventional approaches for determining the genetic diversity are currently insufficient as the factors, for example, abiotic factors, including heat, stress, drought, water logging, and salinity, are becoming more prevalent in certain areas. Consequently, the genetic dissection of quantitative traits controlling the adaptive response in important crops to abiotic stresses is essential to allow cost-effective applications of genomic-based approaches to breeding programs aimed at improving the sustainability and stability of yield under adverse conditions [43]. Due to limited life history availability, nowadays, RAD-sequence [13, 45], GWAS [46, 47], and genome scan [4850] are also used for identification of genetic regions associated with the adaptive traits. For example, GWAS was applied across the whole genome in several crops to detect the nonrandom association between the genomic markers scattered across the genome and the adaptive trait of interest [51]. Historical recombination increases the resolution in the detection of the locus controlling the adaptive traits [52], and thus GWAS identifies the nonrandom association of alleles among a locus with the adaptive traits (i.e., LD) as a result of action of natural selection [53]. The Major Histocompatibility Complex (MHC) has a role in kin recognition, intraspecific territoriality, and mate choice [54] and identification of polymorphism in MHC loci through genomics can give us information about the immunological fitness of the population [55] and further as advances are made can help us in conservation managements.

3.3. Inbreeding

Inbreeding of a species results in inbreeding depression, which can cause reduction of evolutionary adaptive potential, and ultimately increases the risk of extinction [56] but the exact mechanism of how this leads to the inbreeding depression is poorly understood. Only it is the genomics, which can shed light on the genetic architecture of inbreeding depression, a number of loci that contribute to inbreeding, and some underlying genetic mechanisms such as epistasis, overdominance, dominance, and/or gene-environment interactions [23]. For example, small scabious, a perennial plant in Netherlands, is an endangered species with highly fragmented and genetically eroded populations. Various transcriptomics and epigenetic analyses of inbreeding and inbreeding depression have been used to analyze this plant in the context of conservation. Various methods such as GWAS [57], gene expression profiles [58], and sequencing the whole genome of both parents and offspring [59] are used to identify loci related to inbreeding depression. The most immediate effect of inbreeding in a population is to reduce the frequency of heterozygotes, lowered fitness of individuals, inbreeding depression [60], and loss of diversity due to genetic drift by reducing effective population size [61]. For example, Mooney and McGraw studied Panax quinquefolius (American ginseng), a rare plant for outcrossing and inbreeding [62]. For inbreeding, the Panax quinquefolius were either self-pollinated or either cross-pollinated within the population. On the other hand for outcrossing, Panax quinquefolius were either cross-pollinated within the population or with cultivated plants. Offspring resulted from all the crosses were followed for 4 years. Seedlings from self-pollinated plants showed 33% smaller heights and 45% smaller leaf areas relative to those from cross-pollination. On the other hand, Seedlings from crosses with cultivated plants showed 165% greater root biomass and 127% greater leaf area relative to outcrosses within the population. This example shows how inbreeding accelerates population extinction.

3.4. Hybridization and Introgression

Hybridization in some plant taxonomic group requires molecular markers at the genome level due to the peculiar characteristics of their genome architecture. For example, the wild form of sunflower, a noxious weed, can serve as a weed to the crop form. Hybridization can take place through pollinating insects which can move some of the crop’s pollens into the weed populations. Ongoing hybridization between closely related species appears to be common in nature [63]. Genomics can provide better insight in the roles of hybridization and introgressive gene flow in natural populations and also can clear our concept of how species can maintain their genetic distinctiveness and reproductive isolation. Because introgressive gene flow may decrease or increase fitness, a better capability to identify the timing and occurrence of gene flow between species is relevant to population management and sustainability [23]. Translocated populations sometimes can hybridize with closely related or native populations of the same species, compromising the genetic purity of each species. For example, when Cervus nippon (Sika deer) were introduced to Western Europe, they readily inbreed with native C. elaphus (red deer) and as a result in Great Britain, there are no pure red deer [64]. Some extent of genetic flow is through a normal and evolutionarily constructive process, as the entire constellations of genotypes and genes cannot be preserved. However, hybridization with or without introgression in a rare or threatened species may compromise their existence. In this regard, only advance molecular technologies can play a significant role to understand the underappreciated problem that is not always evident from morphological observations alone [65].

3.5. Disease Susceptibilities

Infectious diseases, especially viral ones, are generally considered as a cause of decline in population [66] and are seldom considered a cause of extinction. In conservation biology, except in unusual circumstances, infectious diseases have a contributory or marginal influence on extinction [67, 68]. Recently it has been found that long term exposure to infectious diseases may alter the constitution of genome [69] which has a role in evolution and shaping of our biochemical individuality [70]. Advanced genomics can identify relevant susceptible genes and can provide better comprehensions into protective and pathogenic mechanisms and can pinpoint new molecular targets for therapeutic and prophylactic interventions [71]. Genome-wide SNP studies and whole genome sequencing can provide better understanding in wild life species managements and treatment of diseases [72] as the immediate goal for conservation management is to assess carrier status and to provide the basis for species recovery [73]. Currently, there are various examples under threat for various reasons being severely impacted by infectious diseases such as canine distemper in lions and black-footed ferrets [74, 75], Marburg and Ebola hemorrhagic diseases in anthropoids [76], transmissible facial tumor disease in Tasmanian devils [77], Kola retrovirus [78], and Chlamydia pecorum in Koalas [79]. In conservation biology, though host-pathogen interaction is a subject of particular interest, the possibility that pathogen causes extinction in certain context is rarely understood. However, increasing developments in the molecular technologies can provide substantial contribution to precisely understand the microbiological processes in wildlife [80].

4. Future Hope from Advance Genomics

Approximately, one-quarter of all avian species are either nearly threatened or threatened. Only 73 species of which are rescued from extinction. One of them was Nipponia nippon (crested ibis), which only from seven individuals was recovered, using high-quality genome sequences [25]. Even scientists for the first time created a viable clone of the world smallest endangered sheep, European mouflon, providing a hope to save them from extinction. Similarly, the original gene pool of any extinct population can be regenerated via cloning, by preserving their genetic diversity, through collection of cell samples. Even if cloning is managed properly, it may expand the genetic pool, can help us bring back genetic materials from dead animals, infertile animals, and even young animals that were too immature to breed [81]. For those extinct organisms for which no living cell exists, cloning is impossible; however, genome editing is the only means to bring extinct species or more accurately extinct traits back to life [82].

5. Limitations of Genomics

The most important impediment in conservation genomics is either lack of availability of samples or difficulty in sample collections of endangered species. Similarly, production of genomics data is easier and faster, but data analysis technique mostly lags. In addition, many statistical programs for population genetics need to be adapted to large data sets and require significant advances in bioinformatics and computational biology. Application of genetic data may result in defining units of conservation too narrowly, may impede conservation actions, and may stand in the way of endangered species management [83]. Further, genomes of some endangered species have not been sequenced yet and this requires not only heavy funds but considerable time. Some policies relating to sample exchange among countries also retard the speed of biological conservation.

6. Conclusions and Future Prospects

Conservation genetics is mainly focused on to determine the relationship between species or population, study the cross-species variation, and describe the interactions between species and their threatening processes. In the current manuscript, we have overviewed the problems of conservation of endangered species and possible solutions and genetic and genomic approaches to apprehend them. Besides preventing the threatened species, diversity can benefit from looking beyond these and considering the genome of rare species and others that share a common environment. By identifying the factors or processes that influence the genomic composition of the threatened or extinction species, we can predict and identify the ecologically and genetically unique species. In the future, we hope that as advancement continues in genomics, we will be able to accurately predict the viability of local population and also to predict the ability of populations to adapt to climatic change and other anthropogenic challenges. Both climatic changes and anthropogenic activities due to a population explosion will be increasing day by day. Therefore, both these factors are a serious menace to biodiversity loss. The only hope to prevent their loss is expected from advance genomics. Further studies are also needed to appropriately understand and utilize environmental and genomic data and better ways to integrate them with multidisciplines, including policy analysis for effective conservation. Further, special policies should be established, to exchange the samples and genetic data of endangered species, in order to enhance species survival by the efforts of multinational groups.

Competing Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

Authors’ Contributions

Suliman Khan, Ghulam Nabi, and Muhammad Wajid Ullah contributed equally to this work.


The authors are thankful to the Academy of Science and The World Academy of Science (CAS-TWAS) scholarship program.


  1. J. M. De Vos, L. N. Joppa, J. L. Gittleman, P. R. Stephens, and S. L. Pimm, “Estimating the normal background rate of species extinction,” Conservation Biology, vol. 29, no. 2, pp. 452–462, 2015. View at Publisher · View at Google Scholar · View at Scopus
  2. IUCN, The IUCN red list of threatened species, 2015,
  3. N. S. Sodhi, B. W. Brook, and J. A. Corey Bradshaw, “Causes and consequences of species extinctions,” in The Princeton Guide to Ecology, vol. 1, pp. 514–520, Princeton University Press, 2009. View at Google Scholar
  4. C. Gerardo, R. E. Paul, D. B. Anthony, G. Andrés, M. P. Robert, and M. P. Todd, “Accelerated modern human–induced species losses: entering the sixth mass extinction,” Science Advances, vol. 1, no. 5, Article ID e1400253, 2015. View at Google Scholar
  5. R. M. May, “Ecological science and tomorrow's world,” Philosophical Transactions of the Royal Society B: Biological Sciences, vol. 365, no. 1537, pp. 41–47, 2010. View at Publisher · View at Google Scholar · View at Scopus
  6. R. Dirzo, H. S. Young, M. Galetti, G. Ceballos, N. J. B. Isaac, and B. Collen, “Defaunation in the anthropocene,” Science, vol. 345, no. 6195, pp. 401–406, 2014. View at Publisher · View at Google Scholar · View at Scopus
  7. D. W. Steadman, Extinction and Biogeography of Tropical Pacific Birds, Chicago University Press, Chicago, Ill, USA, 2006.
  8. H. M. Pereira, P. W. Leadley, V. Proença et al., “Scenarios for global biodiversity in the 21st century,” Science, vol. 330, no. 6010, pp. 1496–1501, 2010. View at Publisher · View at Google Scholar · View at Scopus
  9. IUCN, “The IUCN Red List of Threatened Species, Version 2014.3,”
  10. J. Yule, R. Fournier, and P. Hindmarsh, “Biodiversity, extinction, and humanity's future: the ecological and evolutionary consequences of human population and resource use,” Humanities, vol. 2, no. 2, pp. 147–159, 2013. View at Publisher · View at Google Scholar
  11. H. Y. Jun, L. Zhong, C. G. Fa, W. W. Chao, and F. Z. Wei, “Advances in conservation methods of endangered species,” Acta Ecologica Sinica, vol. 24, pp. 338–346, 2004. View at Google Scholar
  12. W. E. Johnson and K. Koepfli, “The role of genomics in conservation and reproductive sciences,” Advances in Experimental Medicine and Biology, vol. 753, pp. 71–96, 2014. View at Publisher · View at Google Scholar · View at Scopus
  13. M. R. Miller, J. P. Brunelli, P. A. Wheeler et al., “A conserved haplotype controls parallel adaptation in geographically distant salmonid populations,” Molecular Ecology, vol. 21, no. 2, pp. 237–249, 2012. View at Publisher · View at Google Scholar · View at Scopus
  14. N. J. Ouborg, F. Angeloni, and P. Vergeer, “An essay on the necessity and feasibility of conservation genomics,” Conservation Genetics, vol. 11, no. 2, pp. 643–653, 2010. View at Publisher · View at Google Scholar · View at Scopus
  15. U. S. Rawat and N. K. Agarwal, “Biodiversity: concept, threats and conservation,” Environment Conservation Journal, vol. 16, pp. 19–28, 2015. View at Google Scholar
  16. C. Mora, D. P. Tittensor, S. Adl, A. G. B. Simpson, and B. Worm, “How many species are there on earth and in the ocean?” PLOS Biology, vol. 9, no. 8, Article ID e1001127, 2011. View at Publisher · View at Google Scholar · View at Scopus
  17. V. R. Rao and T. Hodgkin, “Genetic diversity and conservation and utilization of plant genetic resources,” Plant Cell, Tissue and Organ Culture, vol. 68, no. 1, pp. 1–19, 2002. View at Publisher · View at Google Scholar · View at Scopus
  18. F. J. Mazzotti, The Value of Endangered Species: The Importance of Conserving Biological Diversity, Wildlife Ecology and Conservation department, University of Florida, Cooperative Extension Service, Institute of Food and Agriculture Sciences, UF/IFAS Extension, Gainesville, Fla, USA, 2014.
  19. S. Mandujano and L. A. Escobedo-Morales, “Population viability analysis of howler monkeys (Alouatta palliata mexicana) in a highly fragmented landscape in Los Tuxtlas,” Tropical Conservation Science, vol. 1, pp. 43–62, 2008. View at Google Scholar
  20. P. Hieter and M. Boguski, “Functional genomics: it's all how you read it,” Science, vol. 278, no. 5338, pp. 601–602, 1997. View at Publisher · View at Google Scholar · View at Scopus
  21. Y. Xu, “Molecular plant breeding,” in Molecular Breeding Tool: Omics and Arrays, p. 68, CABI, 2012. View at Google Scholar
  22. V. A. McKusick, “HUGO news. The human genome organisation: history, purposes, and membership,” Genomics, vol. 5, no. 2, pp. 385–387, 1989. View at Publisher · View at Google Scholar · View at Scopus
  23. C. C. Steiner, A. S. Putnam, P. E. A. Hoeck, and O. A. Ryder, “Conservation genomics of threatened animal species,” Annual Review of Animal Biosciences, vol. 1, pp. 261–281, 2013. View at Publisher · View at Google Scholar · View at Scopus
  24. C. E. Grueber, “Comparative genomics for biodiversity conservation,” Computational and Structural Biotechnology Journal, vol. 13, pp. 370–375, 2015. View at Publisher · View at Google Scholar · View at Scopus
  25. S. Li, B. Li, C. Cheng et al., “Genomic signatures of near-extinction and rebirth of the crested ibis and other endangered bird species,” Genome Biology, vol. 15, no. 12, pp. 557–572, 2014. View at Publisher · View at Google Scholar
  26. B. J. Mcmahon, E. C. Teeling, and J. Höglund, “How and why should we implement genomics into conservation?” Evolutionary Applications, vol. 7, no. 9, pp. 999–1007, 2014. View at Publisher · View at Google Scholar · View at Scopus
  27. R. K. Wayne and P. A. Morin, “Conservation genetics in the new molecular age,” Frontiers in Ecology and the Environment, vol. 2, no. 2, pp. 89–97, 2004. View at Publisher · View at Google Scholar · View at Scopus
  28. M. E. Goddard and B. J. Hayes, “Mapping genes for complex traits in domestic animals and their use in breeding programmes,” Nature Reviews Genetics, vol. 10, no. 6, pp. 381–391, 2009. View at Publisher · View at Google Scholar · View at Scopus
  29. J. C. Avise, “Perspective: conservation genetics enters the genomics era,” Conservation Genetics, vol. 11, no. 2, pp. 665–669, 2010. View at Publisher · View at Google Scholar · View at Scopus
  30. C. S. Wilding, R. K. Butlin, and J. Grahame, “Differential gene exchange between parapatric morphs of Littorina saxatilis detected using AFLP markers,” Journal of Evolutionary Biology, vol. 14, no. 4, pp. 611–619, 2001. View at Publisher · View at Google Scholar · View at Scopus
  31. D. P. Locke, L. W. Hillier, W. C. Warren et al., “Comparative and demographic analysis of orang-utan genomes,” Nature, vol. 469, no. 7331, pp. 529–533, 2011. View at Publisher · View at Google Scholar
  32. W. C. Black IV, C. F. Baer, M. F. Antolin, and N. M. DuTeau, “Population genomics: genome-wide sampling of insect populations,” Annual Review of Entomology, vol. 46, pp. 441–469, 2001. View at Publisher · View at Google Scholar · View at Scopus
  33. M. P. H. Stumpf, “Haplotype diversity and the block structure of linkage disequilibrium,” Trends in Genetics, vol. 18, no. 5, pp. 226–228, 2002. View at Publisher · View at Google Scholar · View at Scopus
  34. F. W. Allendorf, P. A. Hohenlohe, and G. Luikart, “Genomics and the future of conservation genetics,” Nature Reviews Genetics, vol. 11, no. 10, pp. 697–709, 2010. View at Publisher · View at Google Scholar · View at Scopus
  35. S. Manel, S. Joost, B. K. Epperson et al., “Perspectives on the use of landscape genetics to detect genetic adaptive variation in the field,” Molecular Ecology, vol. 19, no. 17, pp. 3760–3772, 2010. View at Publisher · View at Google Scholar · View at Scopus
  36. A. A. Hoffmann and C. M. Sgró, “Climate change and evolutionary adaptation,” Nature, vol. 470, no. 7335, pp. 479–485, 2011. View at Publisher · View at Google Scholar · View at Scopus
  37. K. A. Crandall, O. R. R. Bininda-Emonds, G. M. Mace, and R. K. Wayne, “Considering evolutionary processes in conservation biology,” Trends in Ecology and Evolution, vol. 15, no. 7, pp. 290–295, 2000. View at Publisher · View at Google Scholar · View at Scopus
  38. J. R. Stinchcombe and H. E. Hoekstra, “Combining population genomics and quantitative genetics: finding the genes underlying ecologically important traits,” Heredity, vol. 100, no. 2, pp. 158–170, 2008. View at Publisher · View at Google Scholar · View at Scopus
  39. M. Protas, I. Tabansky, M. Conrad et al., “Multi-trait evolution in a cave fish, Astyanax mexicanus,” Evolution and Development, vol. 10, no. 2, pp. 196–209, 2008. View at Publisher · View at Google Scholar · View at Scopus
  40. C. C. Steiner, J. N. Weber, and H. E. Hoekstra, “Adaptive variation in beach mice produced by two interacting pigmentation genes,” PLOS Biology, vol. 5, no. 9, pp. 1880–1889, 2007. View at Publisher · View at Google Scholar · View at Scopus
  41. H. Schielzeth, W. Forstmeier, B. Kempenaers, and H. Ellegren, “QTL linkage mapping of wing length in zebra finch using genome-wide single nucleotide polymorphisms markers,” Molecular Ecology, vol. 21, no. 2, pp. 329–339, 2012. View at Publisher · View at Google Scholar · View at Scopus
  42. M. W. Ullah, J. Hussain, R. Ahmad, A. Hassan, and M. M. Shah, “Molecular evaluation of wheat genotypes for vernalization response based on the Intron 1 deletion in VRN gene,” Minerva Biotecnologica, vol. 27, no. 4, pp. 201–209, 2015. View at Google Scholar · View at Scopus
  43. N. C. Collins, F. Tardieu, and R. Tuberosa, “Quantitative trait loci and crop performance under abiotic stress: where do we stand?” Plant Physiology, vol. 147, no. 2, pp. 469–486, 2008. View at Publisher · View at Google Scholar · View at Scopus
  44. N. E. Borlaug, “Sixty-two years of fighting hunger: personal recollections,” Euphytica, vol. 157, no. 3, pp. 287–297, 2007. View at Publisher · View at Google Scholar · View at Scopus
  45. B. K. Peterson, J. N. Weber, E. H. Kay, H. S. Fisher, and H. E. Hoekstra, “Double digest RADseq: an inexpensive method for de novo SNP discovery and genotyping in model and non-model species,” PLOS ONE, vol. 7, no. 5, Article ID e37135, 2012. View at Publisher · View at Google Scholar · View at Scopus
  46. T. M. Anderson, B. M. vonHoldt, S. I. Candille et al., “Molecular and evolutionary history of melanism in North American gray wolves,” Science, vol. 323, no. 5919, pp. 1339–1343, 2009. View at Publisher · View at Google Scholar · View at Scopus
  47. H. E. Johnson, L. S. Mills, J. D. Wehausen, T. R. Stephenson, and G. Luikart, “Translating effects of inbreeding depression on component vital rates to overall population growth in endangered bighorn sheep,” Conservation Biology, vol. 25, no. 6, pp. 1240–1249, 2011. View at Publisher · View at Google Scholar · View at Scopus
  48. C. R. Linnen, E. P. Kingsley, J. D. Jensen, and H. E. Hoekstra, “On the origin and spread of an adaptive allele in deer mice,” Science, vol. 325, no. 5944, pp. 1095–1098, 2009. View at Publisher · View at Google Scholar · View at Scopus
  49. P. A. Hohenlohe, S. Bassham, P. D. Etter, N. Stiffler, E. A. Johnson, and W. A. Cresko, “Population genomics of parallel adaptation in threespine stickleback using sequenced RAD tags,” PLoS Genetics, vol. 6, no. 2, Article ID e1000862, 2010. View at Publisher · View at Google Scholar · View at Scopus
  50. S. Renaut and L. Bernatchez, “Transcriptome-wide signature of hybrid breakdown associated with intrinsic reproductive isolation in lake whitefish species pairs (Coregonus spp. Salmonidae),” Heredity, vol. 106, no. 6, pp. 1003–1011, 2011. View at Publisher · View at Google Scholar · View at Scopus
  51. B. Hunter, K. M. Wright, and K. Bomblies, “Short read sequencing in studies of natural variation and adaptation,” Current Opinion in Plant Biology, vol. 16, no. 1, pp. 85–91, 2013. View at Publisher · View at Google Scholar · View at Scopus
  52. E.-Y. Hwang, Q. Song, G. Jia et al., “A genome-wide association study of seed protein and oil content in soybean,” BMC Genomics, vol. 15, article 1, 12 pages, 2014. View at Publisher · View at Google Scholar · View at Scopus
  53. B. E. Stranger, E. A. Stahl, and T. Raj, “Progress and promise of genome-wide association studies for human complex trait genetics,” Genetics, vol. 187, no. 2, pp. 367–383, 2011. View at Publisher · View at Google Scholar · View at Scopus
  54. B. Ujvari and K. Belov, “Major histocompatibility complex (MHC) markers in conservation biology,” International Journal of Molecular Sciences, vol. 12, no. 8, pp. 5168–5186, 2011. View at Publisher · View at Google Scholar · View at Scopus
  55. A. Aguilar, G. Roemer, S. Debenham, M. Binns, D. Garcelon, and R. K. Wayne, “High MHC diversity maintained by balancing selection in an otherwise genetically monomorphic mammal,” Proceedings of the National Academy of Sciences of the United States of America, vol. 101, no. 10, pp. 3490–3494, 2004. View at Publisher · View at Google Scholar · View at Scopus
  56. L. F. Keller and D. M. Waller, “Inbreeding effects in wild populations,” Trends in Ecology and Evolution, vol. 17, no. 5, pp. 230–241, 2002. View at Publisher · View at Google Scholar · View at Scopus
  57. C. Charlier, W. Coppieters, F. Rollin et al., “Highly effective SNP-based association mapping and management of recessive defects in livestock,” Nature Genetics, vol. 40, no. 4, pp. 449–454, 2008. View at Publisher · View at Google Scholar · View at Scopus
  58. K. N. Paige, “The functional genomics of inbreeding depression: a new approach to an old problem,” BioScience, vol. 60, no. 4, pp. 267–277, 2010. View at Publisher · View at Google Scholar · View at Scopus
  59. D. Charlesworth and J. H. Willis, “The genetics of inbreeding depression,” Nature Reviews Genetics, vol. 10, no. 11, pp. 783–796, 2009. View at Publisher · View at Google Scholar · View at Scopus
  60. D. Charlesworth and B. Charlesworth, “Inbreeding depression and its evolutionary consequences,” Annual Review of Ecology and Systematics, vol. 18, pp. 237–268, 1987. View at Google Scholar · View at Scopus
  61. S. C. H. Barrett and J. R. Kohn, “Genetic and evolutionary consequences of small population size in plants: implications for conservation,” in Genetics and Conservation of Rare Plants, D. A. Falk and K. E. Holsinger, Eds., pp. 3–30, Oxford University Press, New York, NY, USA, 1991. View at Google Scholar
  62. E. H. Mooney and J. B. McGraw, “Effects of self-pollination and outcrossing with cultivated plants in small natural populations of american ginseng, Panax quinquefolius (Araliaceae),” American Journal of Botany, vol. 94, no. 10, pp. 1677–1687, 2007. View at Publisher · View at Google Scholar · View at Scopus
  63. L. H. Rieseberg, “Evolution: replacing genes and traits through hybridization,” Current Biology, vol. 19, no. 3, pp. R119–R122, 2009. View at Publisher · View at Google Scholar · View at Scopus
  64. V. P. Lowe and A. S. Gardiner, “Hybridization between Red deer (Cervus elaphus) and Sika deer (Cervus nippon) with particular reference to stocks in N.W. England,” Journal of Zoology, vol. 177, no. 4, pp. 553–566, 1975. View at Publisher · View at Google Scholar
  65. J. M. Rhymer and D. Simberloff, “Extinction by hybridization and introgression,” Annual Review of Ecology and Systematics, vol. 27, pp. 83–109, 1996. View at Publisher · View at Google Scholar · View at Scopus
  66. R. D. MacPhee and A. D. Greenwood, “Infectious Disease, Endangerment, and Extinction,” International Journal of Evolutionary Biology, vol. 2013, Article ID 571939, 9 pages, 2013. View at Publisher · View at Google Scholar
  67. K. F. Smith, D. F. Sax, and K. D. Lafferty, “Evidence for the role of infectious disease in species extinction and endangerment,” Conservation Biology, vol. 20, no. 5, pp. 1349–1357, 2006. View at Publisher · View at Google Scholar · View at Scopus
  68. A. B. Pedersen, K. E. Jones, C. L. Nunn, and S. Altizer, “Infectious diseases and extinction risk in wild mammals,” Conservation Biology, vol. 21, no. 5, pp. 1269–1279, 2007. View at Publisher · View at Google Scholar · View at Scopus
  69. D. Weatherall, J. Clegg, and D. Kwiatkowski, “The role of genomics in studying genetic susceptibility to infectious disease,” Genome Research, vol. 7, no. 10, pp. 967–973, 1997. View at Google Scholar · View at Scopus
  70. A. E. Garrod, The Inborn Factors in Disease, Oxford University Press, Oxford, UK, 1931.
  71. A. V. S. Hill, “Genetics and genomics of infectious disease susceptibility,” British Medical Bulletin, vol. 55, no. 2, pp. 401–413, 1999. View at Publisher · View at Google Scholar · View at Scopus
  72. A. E. Savage and K. R. Zamudio, “MHC genotypes associate with resistance to a frog-killing fungus,” Proceedings of the National Academy of Sciences of the United States of America, vol. 108, no. 40, pp. 16705–16710, 2011. View at Publisher · View at Google Scholar · View at Scopus
  73. M. N. Romanov, M. Koriabine, M. Nefedov, P. J. de Jong, and O. A. Ryder, “Construction of a California condor BAC library and first-generation chicken-condor comparative physical map as an endangered species conservation genomics resource,” Genomics, vol. 88, no. 6, pp. 711–718, 2006. View at Publisher · View at Google Scholar · View at Scopus
  74. M. E. Roelke-Parker, L. Munson, C. Packer et al., “A canine distemper virus epidemic in Serengeti lions (Panthera leo),” Nature, vol. 379, pp. 441–445, 1998. View at Publisher · View at Google Scholar
  75. E. S. Williams, E. T. Thorne, M. J. Appel, and D. W. Belitsky, “Canine distemper in black-footed ferrets (Mustela nigripes) from Wyoming,” Journal of wildlife diseases, vol. 24, no. 3, pp. 385–398, 1988. View at Publisher · View at Google Scholar · View at Scopus
  76. E. M. Leroy, P. Telfer, B. Kumulungui et al., “A serological survey of ebola virus infection in central African nonhuman primates,” Journal of Infectious Diseases, vol. 190, no. 11, pp. 1895–1899, 2004. View at Publisher · View at Google Scholar · View at Scopus
  77. A.-M. Pearse and K. Swift, “Allograft theory: transmission of devil facial-tumour disease,” Nature, vol. 439, article 549, 2006. View at Publisher · View at Google Scholar · View at Scopus
  78. J. J. Hanger, L. D. Bromham, J. J. Mckee, T. M. O'Brien, and W. F. Robinson, “The nucleotide sequence of koala (Phascolarctos cinereus) retrovirus: a novel type C endogenous virus related to gibbon ape leukemia virus,” Journal of Virology, vol. 74, no. 9, pp. 4264–4272, 2000. View at Publisher · View at Google Scholar · View at Scopus
  79. M. Jackson, N. White, P. Giffard, and P. Timms, “Epizootiology of Chlamydia infections in two free-range koala populations,” Veterinary Microbiology, vol. 65, no. 4, pp. 255–264, 1999. View at Publisher · View at Google Scholar · View at Scopus
  80. R. D. E. MacPhee and A. D. Greenwood, “Infectious disease, endangerment, and extinction,” International Journal of Evolutionary Biology, vol. 2013, Article ID 571939, 9 pages, 2013. View at Publisher · View at Google Scholar
  81. B. P. Trivedi, Cientists Clone First Endangered Species: a Wild Sheep, National Geographic New, 2001.
  82. B. Shapiro, “Mammoth 2.0: will genome engineering resurrect extinct species?” Genome Biology, vol. 16, no. 1, article 228, 2015. View at Publisher · View at Google Scholar · View at Scopus
  83. R. Frankham, J. D. Ballou, M. R. Dudash et al., “Implications of different species concepts for conserving biodiversity,” Biological Conservation, vol. 153, pp. 25–31, 2012. View at Publisher · View at Google Scholar · View at Scopus