African Origin Of Modern Humans Research Articles

Climatic windows for human migration out of Africa in the past 300,000 years

Whilst an African origin of modern humans is well established, the timings and routes of their expansions into Eurasia are the subject of heated debate, due to the scarcity of fossils and the lack of suitably old ancient DNA. Here, we use high-resolution palaeoclimate reconstructions to estimate how difficult it would have been for humans in terms of rainfall availability to leave the African continent in the past 300k years. We then combine these results with an anthropologically and ecologically motivated estimate of the minimum level of rainfall required by hunter-gatherers to survive, allowing us to reconstruct when, and along which geographic paths, expansions out of Africa would have been climatically feasible. The estimated timings and routes of potential contact with Eurasia are compatible with archaeological and genetic evidence of human expansions out of Africa, highlighting the key role of palaeoclimate variability for modern human dispersals.

Understanding the overestimated impact of the Toba volcanic super-eruption on global environments and ancient hominins

The ~74 ka Toba super-eruption was the largest known explosive volcanic event of the past 2.5 million years and has been held responsible for presumed dramatic global cooling and large-scale hominin extinction. The hypothesis that the Toba super-eruption resulted in human extinction outside of tropical Africa has been cited as a mechanism to support models of a Middle Pleistocene African origin for modern humans. This hypothesis has prevailed for decades and drawn the attention of researchers from many fields. Recently, this proposition has been debated or refuted because of the development of more precise dating techniques and higher-resolution geological records that provide new data to reevaluate the climatic influence of the Toba event. Relevant archaeological evidence also indicates the survival of hominin groups in Eurasia immediately after the Toba event, even in India and Sumatra, which were covered by thick deposits of volcanic ash. Here, we correlate high-resolution geological records with the most precise available ages for the Toba event (ca. 74 ka), including ice cores, stalagmites, and lake and deep-sea sediments, concluding only limited influence of the Toba super-eruption on the Earth's climate. We also assemble archaeological data demonstrating continuity of human activity before and after the Toba event, ancient DNA and fossil evidences also testify the survival of other archaic humans after the eruption. The preponderance of the evidence dictates rejection of previous “population bottleneck” hypotheses and the total replacement model for the origins of modern humans. Although the Toba super-eruption was the largest such event of the Quaternary period, it did not have a devastating impact on the Earth's climate and human activity.

Out of Africa and into Asia: Fossil and genetic evidence on modern human origins and dispersals

Genetic and fossil evidence has accumulated in support of an African origin for modern humans. Despite this consensus, several questions remain with regard to the mode and timing of dispersal out of the continent. Competing models differ primarily by the number of dispersals, their geographic route, and the extent to which expanding modern humans interacted with other hominins. Central in this debate is whether Southeast Asia was occupied significantly earlier than other parts of Eurasia and, if so, whether the population ancestral to extant Southeast Asians was notably different from the ancestors of extant Eurasians. Here, genetic and fossil evidence for the dispersal process out of Africa and into Asia is reviewed. A scenario that can resolve the current archaeological, genetic, and paleontological evidence is one which considers an initial expansion of anatomically modern humans into the Arabian Peninsula and the Levant during the terminal Middle Pleistocene, with continued exchange with Africans until the Late Pleistocene, when modern humans then dispersed into Eurasia in two waves. Advances in population genomics and methods applying evolutionary theory to the fossil record will serve to further clarify modern human origins and the out-of-Africa process.

The population genetics of quechuas, the largest native south american group: Autosomal sequences, SNPs, and microsatellites evidence high level of diversity

Elucidating the pattern of genetic diversity for non-European populations is necessary to make the benefits of human genetics research available to individuals from these groups. In the era of large human genomic initiatives, Native American populations have been neglected, in particular, the Quechua, the largest South Amerindian group settled along the Andes. We characterized the genetic diversity of a Quechua population in a global setting, using autosomal noncoding sequences (nine unlinked loci for a total of 16 kb), 351 unlinked SNPs and 678 microsatellites and tested predictions of the model of the evolution of Native Americans proposed by (Tarazona-Santos et al.: Am J Hum Genet 68 (2001) 1485-1496). European admixture is <5% and African ancestry is barely detectable in the studied population. The largest genetic distances were between African versus Quechua or Melanesian populations, which is concordant with the African origin of modern humans and the fact that South America was the last part of the world to be peopled. The diversity in the Quechua population is comparable with that of Eurasian populations, and the allele frequency spectrum based on resequencing data does not reflect a reduction in the proportion of rare alleles. Thus, the Quechua population is a large reservoir of common and rare genetic variants of South Amerindians. These results are consistent with and complement our evolutionary model of South Amerindians (Tarazona-Santos et al.: Am J Hum Genet 68 (2001) 1485-1496), proposed based on Y-chromosome data, which predicts high genomic diversity due to the high level of gene flow between Andean populations and their long-term effective population size.

Hunter-gatherer genomic diversity suggests a southern African origin for modern humans

Africa is inferred to be the continent of origin for all modern human populations, but the details of human prehistory and evolution in Africa remain largely obscure owing to the complex histories of hundreds of distinct populations. We present data for more than 580,000 SNPs for several hunter-gatherer populations: the Hadza and Sandawe of Tanzania, and the ≠Khomani Bushmen of South Africa, including speakers of the nearly extinct N|u language. We find that African hunter-gatherer populations today remain highly differentiated, encompassing major components of variation that are not found in other African populations. Hunter-gatherer populations also tend to have the lowest levels of genome-wide linkage disequilibrium among 27 African populations. We analyzed geographic patterns of linkage disequilibrium and population differentiation, as measured by F(ST), in Africa. The observed patterns are consistent with an origin of modern humans in southern Africa rather than eastern Africa, as is generally assumed. Additionally, genetic variation in African hunter-gatherer populations has been significantly affected by interaction with farmers and herders over the past 5,000 y, through both severe population bottlenecks and sex-biased migration. However, African hunter-gatherer populations continue to maintain the highest levels of genetic diversity in the world.

On phonemic diversity and the origin of language in Africa

Quentin Atkinson (2011) proposes a theory with the important implication that human language originates and expands from Africa. His theory, however, does not seem fully convincing as it stands because, first, he basically tests only a single logical consequence of his theory (whereas normally theories are tested against a variety of such consequences), and secondly, the body of data he provides may also be reasonably accounted for in different ways. Therefore, additional evidence is required to confirm or disconfirm the theory in a more conclusive manner. Atkinson’s article in Science is centered around the positive correlation between the size of the phonemic inventory of a language and the size of the population speaking that language, in the sense that small populations have fewer phonemes. The intuition behind a similar idea is not new: it was suggested by Trudgill (2004) in the specific form that languages with small populations have either very small or very large inventories, and languages with larger populations favour “medium-sized populations”. In testing Trudgill’s claim, I showed that this specific correlation does not really hold in a database of 428 languages (Pericliev 2004), but a part of this correlation, pertaining to the favouring of small inventories by small-sized populations, was later shown by Hay & Bauer (2007) to hold statistically, including in my dataset. Atkinson replicates Hay & Bauer’s finding, and tries to fit it into a serial founder effect, by analogy to human genetics where it is currently believed that genetic and phenotypic diversity declines with distance from Africa, as predicted by a serial founder effect in which successive population bottlenecks reduce diversity, suggesting an African origin of modern humans. Analogously, Atkinson finds that the number of phonemes used in a global sample of 504 languages, derived from WALS (Haspelmath et al. (eds.) 2008), deAUTHOR’S COPY | AUTORENEXEMPLAR

Deep Divergences of Human Gene Trees and Models of Human Origins

Two competing hypotheses are at the forefront of the debate on modern human origins. In the first scenario, known as the recent Out-of-Africa hypothesis, modern humans arose in Africa about 100,000-200,000 years ago and spread throughout the world by replacing the local archaic human populations. By contrast, the second hypothesis posits substantial gene flow between archaic and emerging modern humans. In the last two decades, the young time estimates--between 100,000 and 200,000 years--of the most recent common ancestors for the mitochondrion and the Y chromosome provided evidence in favor of a recent African origin of modern humans. However, the presence of very old lineages for autosomal and X-linked genes has often been claimed to be incompatible with a simple, single origin of modern humans. Through the analysis of a public DNA sequence database, we find, similar to previous estimates, that the common ancestors of autosomal and X-linked genes are indeed very old, living, on average, respectively, 1,500,000 and 1,000,000 years ago. However, contrary to previous conclusions, we find that these deep gene genealogies are consistent with the Out-of-Africa scenario provided that the ancestral effective population size was approximately 14,000 individuals. We show that an ancient bottleneck in the Middle Pleistocene, possibly arising from an ancestral structured population, can reconcile the contradictory findings from the mitochondrion on the one hand, with the autosomes and the X chromosome on the other hand.

Genomic Drift and Evolution of Microsatellite DNAs in Human Populations

In recent years, copy number variation (CNV) of DNA segments has become a hot topic in the study of genetic variation, and a large amount of CNVs has been uncovered in human populations. The CNVs involving the smallest units of DNA segments are microsatellite DNAs, and the evolutionary change of microsatellite DNAs is believed to occur mostly by the increase or decrease of one repeat unit at a time in a more or less neutral fashion. If we note that eukaryotic genomes contain millions of microsatellite loci, this pattern of nucleotide change is expected to generate random changes of genome size, that is, genomic drift, and will provide a neutral model of CNV evolution. We therefore investigated the amount of variation of the total number of repeats (TNR) per individual concerned with 145 microsatellite loci in three human populations, Africans, Europeans, and Asians. It was shown that the TNR follows the normal distribution in all three populations and that the extent of variation of TNR is more than 50% greater in Africans than in Europeans and Asians as expected from the hypothesis of African origin of modern humans. If we consider all microsatellite loci in the human genome and compute the variation of the total number of nucleotides involved (TNN), it is possible to study the contribution of microsatellite loci to the genome size variation. This study has shown that the genome sizes of human individuals are affected considerably by genomic drift of microsatellite DNA alone. This pattern of evolution is similar to that of olfactory receptor (OR) genes previously studied in human populations and support the idea that the number of OR genes has evolved in a more or less neutral fashion. However, this conclusion does not necessarily apply to the genomewide CNVs of various DNA segments, and it appears that long variant DNA fragments are deleterious and under purifying selection.

Origin of modern humans in East Asia: clues from the Y chromosome

East Asia is one of the most important regions for studying modern human origin and evolution. A lot of efforts have been made to detect the genetic diversity and to reconstruct the evolutionary history of East Asians, especially using Y chromosome genetic data, in recent years. The Y chromosome data supports the African origin of modern humans in East Asia and the later migration to East Asia through the southern tropic coastline route, and then the northward migration occurred, leading to peopling of the main continent. The genetic data of the Y chromosome reflects a clear prehistoric evolution and migration course of East Asians. As well, the Y chromosome data of East Asians provides clues to elucidate modern human origins and evolution in the neighboring regions, i.e. America, Oceania and the Pacific Islands.

PCA and Clustering Reveal Alternate mtDNA Phylogeny of N and M Clades

Phylogenetic trees based on mtDNA polymorphisms are often used to infer the history of recent human migrations. However, there is no consensus on which method to use. Most methods make strong assumptions which may bias the choice of polymorphisms and result in computational complexity which limits the analysis to a few samples/polymorphisms. For example, parsimony minimizes the number of mutations, which biases the results to minimizing homoplasy events. Such biases may miss the global structure of the polymorphisms altogether, with the risk of identifying a "common" polymorphism as ancient without an internal check on whether it either is homoplasic or is identified as ancient because of sampling bias (from oversampling the population with the polymorphism). A signature of this problem is that different methods applied to the same data or the same method applied to different datasets results in different tree topologies. When the results of such analyses are combined, the consensus trees have a low internal branch consensus. We determine human mtDNA phylogeny from 1737 complete sequences using a new, direct method based on principal component analysis (PCA) and unsupervised consensus ensemble clustering. PCA identifies polymorphisms representing robust variations in the data and consensus ensemble clustering creates stable haplogroup clusters. The tree is obtained from the bifurcating network obtained when the data are split into k = 2,3,4,...,kmax clusters, with equal sampling from each haplogroup. Our method assumes only that the data can be clustered into groups based on mutations, is fast, is stable to sample perturbation, uses all significant polymorphisms in the data, works for arbitrary sample sizes, and avoids sample choice and haplogroup size bias. The internal branches of our tree have a 90% consensus accuracy. In conclusion, our tree recreates the standard phylogeny of the N, M, L0/L1, L2, and L3 clades, confirming the African origin of modern humans and showing that the M and N clades arose in almost coincident migrations. However, the N clade haplogroups split along an East-West geographic divide, with a "European R clade" containing the haplogroups H, V, H/V, J, T, and U and a "Eurasian N subclade" including haplogroups B, R5, F, A, N9, I, W, and X. The haplogroup pairs (N9a, N9b) and (M7a, M7b) within N and M are placed in nonnearest locations in agreement with their expected large TMRCA from studies of their migrations into Japan. For comparison, we also construct consensus maximum likelihood, parsimony, neighbor joining, and UPGMA-based trees using the same polymorphisms and show that these methods give consistent results only for the clade tree. For recent branches, the consensus accuracy for these methods is in the range of 1-20%. From a comparison of our haplogroups to two chimp and one bonobo sequences, and assuming a chimp-human coalescent time of 5 million years before present, we find a human mtDNA TMRCA of 206,000 +/- 14,000 years before present.

Genome-wide SNP typing reveals signatures of population history

Single-nucleotide polymorphism (SNP) arrays have become a popular technology for disease-association studies, but they also have potential for studying the genetic differentiation of human populations. Application of the Affymetrix GeneChip Human Mapping 500K Array Set to a population of 102 individuals representing the major ethnic groups in the United States (African, Asian, European, and Hispanic) revealed patterns of gene diversity and genetic distance that reflected population history. We analyzed allelic frequencies at 388,654 autosomal SNP sites that showed some variation in our study population and 10% or fewer missing values. Despite the small size (23–31 individuals) of each subpopulation, there were no fixed differences at any site between any two subpopulations. As expected from the African origin of modern humans, greater gene diversity was seen in Africans than in either Asians or Europeans, and the genetic distance between the Asian and the European populations was significantly lower than that between either of these two populations and Africans. Principal components analysis applied to a correlation matrix among individuals was able to separate completely the major continental groups of humans (Africans, Asians, and Europeans), while Hispanics overlapped all three of these groups. Genes containing two or more markers with extraordinarily high genetic distance between subpopulations were identified as candidate genes for health differences between subpopulations. The results show that, even with modest sample sizes, genome-wide SNP genotyping technologies have great promise for capturing signatures of gene frequency difference between human subpopulations, with applications in areas as diverse as forensics and the study of ethnic health disparities.

Genetic evidence and the modern human origins debate

A continued debate in anthropology concerns the evolutionary origin of 'anatomically modern humans' (Homo sapiens sapiens). Different models have been proposed to examine the related questions of (1) where and when anatomically modern humans first appeared and (2) the genetic and evolutionary relationship between modern humans and earlier human populations. Genetic data have been increasingly used to address these questions. Genetic data on living human populations have been used to reconstruct the evolutionary history of the human species by considering how global patterns of human variation could be produced given different evolutionary scenarios. Of particular interest are gene trees that reconstruct the time and place of the most recent common ancestor of humanity for a given haplotype and the analysis of regional differences in genetic diversity. Ancient DNA has also allowed a direct assessment of genetic variation in European Neandertals. Together with the fossil record, genetic data provide insight into the origin of modern humans. The evidence points to an African origin of modern humans dating back to 200,000 years followed by later expansions of moderns out of Africa across the Old World. What is less clear is what happened when these early modern humans met preexisting 'archaic human' populations outside of Africa. At present, it is difficult to distinguish between a model of total genetic replacement and a model that includes some degree of genetic mixture.

The Earliest Homo Sapiens (Sapiens): Biological, Chronological and Taxonomic Perspectives

AbstractOver the last twenty years the debate over the origin of modern Man has broadened, the supporters of a theory of regional diversification of Homo sapiens being often opposed by those holding to the single source theory (the ‘Out of Africa’ model). At the same time, the idea of Homo neanderthalensis as a separate species was being resurrected, supported by bone classification typology and drawing on arguments derived from palaeogenetic analyses, which buttressed the case for the existence of distinct species and for privileging an African origin for modern humans. The prospects offered by palaeogenetic research to find answers for the questions concerning the relationship between modern humans and Neanderthals throw up numerous questions and all the obstacles have not yet been removed. Palaeoanthropology, from its point of view, casts major doubt on the thesis according to which man has always evolved in the same direction.

Ancestral Alleles and Population Origins: Inferences Depend on Mutation Rate

Previous studies have found that at most human loci, ancestral alleles are "African," in the sense that they reach their highest frequency there. Conventional wisdom holds that this reflects a recent African origin of modern humans. This paper challenges that view by showing that the empirical pattern (of elevated allele frequencies within Africa) is not as pervasive as has been thought. We confirm this African bias in a set of mainly protein-coding loci, but find a smaller bias in Alu insertion polymorphisms, and an even smaller bias in noncoding loci. Thus, the strong bias that was originally observed must reflect some factor that varies among data sets--something other than population history. This factor may be the per-locus mutation rate: the African bias is most pronounced in loci where this rate is high. The distribution of ancestral alleles among populations has been studied using 2 methods. One of these involves comparing the fractions of loci that reach maximal frequency in each population. The other compares the average frequencies of ancestral alleles. The first of these methods reflects history in a manner that depends on the mutation rate. When that rate is high, ancestral alleles at most loci reach their highest frequency in the ancestral population. When that rate is low, the reverse is true. The other method--comparing averages--is unresponsive. Average ancestral allele frequencies are affected neither by mutation rate nor by the history of population size and migration. In the absence of selection and ascertainment bias, they should be the same everywhere. This is true of one data set, but not of 2 others. This also suggests the action of some factor, such as selection or ascertainment bias, that varies among data sets.

Phylogenetic analysis of major African genotype (Af2) of JC virus: Implications for origin and dispersals of modern Africans

Both mtDNA and the Y chromosome have been used to investigate how modern humans dispersed within and out of Africa. This issue can also be studied using the JC virus (JCV) genotype, a novel marker with which to trace human migrations. Africa is mainly occupied by two genotypes of JCV, designated Af1 and Af2. Af1 is localized to central/western Africa, while Af2 is spread throughout Africa and in neighboring areas of Asia and Europe. It was recently suggested that Af1 represents the ancestral type of JCV, which agrees with the African origin of modern humans. To better understand the origin of modern Africans, we examined the phylogenetic relationships among Af2 isolates worldwide. A neighbor-joining phylogenetic tree was constructed based on the complete JCV DNA sequences of 51 Af2 isolates from Africa and neighboring areas. According to the resultant tree, Af2 isolates diverged into two major clusters, designated Af2-a and -b, with high bootstrap probabilities. Af2-a contained isolates mainly from South Africa, while Af2-b contained those from the other parts of Africa and neighboring regions of Asia and Europe. These findings suggest that Af2-carrying Africans diverged into two groups, one carrying Af2-a and the other carrying Af2-b; and that the former moved to southern Africa, while the latter dispersed throughout Africa and to neighboring regions of Asia and Europe. The present findings are discussed with reference to relevant findings in genetic and linguistic studies.

Recovering the geographic origin of early modern humans by realistic and spatially explicit simulations.

Most genetic and archeological evidence argue in favor of a recent and unique origin of modern humans in sub-Saharan Africa, but no attempt has ever been made at quantifying the likelihood of this model, relative to alternative hypotheses of human evolution. In this paper, we investigate the possibility of using multilocus genetic data to correctly infer the geographic origin of humans, and to distinguish between a unique origin (UO) and a multiregional evolution (ME) model. We introduce here an approach based on realistic simulations of the genetic diversity expected after an expansion process of modern humans into the Old World from different possible areas and their comparison to observed data. We find that the geographic origin of the expansion can be correctly recovered provided that a large number of independent markers are used, and that precise information on past demography and potential places of origins is available. In that case, it is also possible to unambiguously distinguish between a unique origin and a multiregional model of human evolution. Application to a real human data set of 377 STR markers tested in 22 populations points toward a unique but surprising North African origin of modern humans. We show that this result could be due to ascertainment bias in favor of markers selected to be polymorphic in Europeans. A new estimation modeling this bias explicitly reveals that East Africa is the most likely place of origin for modern humans.

Implications of biogeography of human populations for 'race' and medicine

In this review, we focus on the biogeographical distribution of genetic variation and address whether or not populations cluster according to the popular concept of 'race'. We show that racial classifications are inadequate descriptors of the distribution of genetic variation in our species. Although populations do cluster by broad geographic regions, which generally correspond to socially recognized races, the distribution of genetic variation is quasicontinuous in clinal patterns related to geography. The broad global pattern reflects the accumulation of genetic drift associated with a recent African origin of modern humans, followed by expansion out of Africa and across the rest of the globe. Because disease genes may be geographically restricted due to mutation, genetic drift, migration and natural selection, knowledge of individual ancestry will be important for biomedical studies. Identifiers based on race will often be insufficient.

Ancient teeth and modern human origins: an expanded comparison of African Plio-Pleistocene and recent world dental samples.

Previous research by the first author revealed that, relative to other modern peoples, sub-Saharan Africans exhibit the highest frequencies of ancestral (or plesiomorphic) dental traits and, thus, appear to be least derived dentally from an ancestral hominin state. This determination, in conjunction with various other lines of dental morphological evidence, was interpreted to be supportive of an African origin for modern humans. The present investigation expands upon this work by using: 1) direct observations of fossil hominin teeth, rather than data gleaned from published sources, 2) a single morphological scoring system (the Arizona State University Dental Anthropology System) with consistent trait breakpoints, and 3) data from larger and more varied modern human comparative samples. As before, a multivariate distance statistic, the mean measure of divergence, was used to assess diachronic phenetic affinities among the Plio-Pleistocene hominins and modern humans. The present study also employed principal components analysis on dental trait frequencies across samples. Both methods yielded similar results, which support the previous findings; that is, of all modern human samples, sub-Saharan Africans again exhibit the closest phenetic similarity to various African Plio-Pleistocene hominins-through their shared prevalence of morphologically complex crown and root traits. The fact that sub-Saharan Africans express these apparently plesiomorphic characters, along with additional information on their affinity to other modern populations, evident intra-population heterogeneity, and a world-wide dental cline emanating from the sub-continent, provides further evidence that is consistent with an African origin model.

DNA Sequence Variation in a 3.7-kb Noncoding Sequence 5′ of the CYP1A2 Gene: Implications for Human Population History and Natural Selection

CYP1A2 is a cytochrome P450 gene that is involved in human physiological responses to a variety of drugs and toxins. To investigate the role of population history and natural selection in shaping genetic diversity in CYP1A2, we sequenced a 3.7-kb region 5' from CYP1A2 in a diverse collection of 113 individuals from three major continental regions of the Old World (Africa, Asia, and Europe). We also examined sequences in the 90-member National Institutes of Health DNA Polymorphism Discovery Resource (PDR). Eighteen single-nucleotide polymorphisms (SNPs) were found. Most of the high-frequency SNPs found in the Old World sample were also found in the PDR sample. However, six SNPs were detected in the Old World sample but not in the PDR sample, and two SNPs found in the PDR sample were not found in the Old World sample. Most pairs of SNPs were in complete linkage disequilibrium with one another, and there was no indication of a decline of disequilibrium with physical distance in this region. The average +/- SD nucleotide diversity in the Old World sample was 0.00043+/-0.00026. The African population had the highest level of nucleotide diversity and the lowest level of linkage disequilibrium. Two distinct haplotype clusters with broadly overlapping geographical distributions were present. Of the 17 haplotypes found in the Old World sample, 12 were found in the African sample, 8 were found in Indians, 5 were found in non-Indian Asians, and 5 were found in Europeans. Haplotypes found outside Africa were mostly a subset of those found within Africa. These patterns are all consistent with an African origin of modern humans. Seven SNPs were singletons, and the site-frequency spectrum showed a significant departure from neutral expectations, suggesting population expansion and/or natural selection. Comparison with outgroup species showed that four derived SNPs have achieved high (>0.90) frequencies in human populations, a trend consistent with the action of positive natural selection. These patterns have a number of implications for disease-association studies in CYP1A2 and other genes.

Population genomics: a bridge from evolutionary history to genetic medicine

Studies of human genetic variation are making contributions in several key areas. Evolutionary genetic studies yield critical clues about the histories of human populations, and they provide substantial support for an African origin of modern humans. The analysis of genetic variation has formed a foundation for DNA-based forensic applications. And, as attention is focused on locating genes underlying complex diseases, it is becoming clear that a better understanding of genetic variation will help to guide gene-mapping efforts. Population genomics, the large-scale comparison of DNA sequences, is now beginning to provide new insights in these areas. We review some of the general patterns of human genetic variation, and we show how our knowledge of these patterns can aid in the mapping and cloning of disease-causing genes.