Butterfly genomics sheds light on the process of hybrid speciation

How common is hybridization between species and what effect does it have on the evolutionary process? Can hybridization generate new species and what indeed is a species? In this issue, Gompert et al. (2014) show how massive, genome‐scale data sets can be used to shed light on these questions. They focus on the Lycaeides butterflies, and in particular, several populations from the western USA, which have characteristics suggesting that they may contain hybrids of two or more different species (Gompert et al. 2006). They demonstrate that these populations do contain mosaic genomes made up of components from different parental species. However, this appears to have been largely driven by historical admixture, with more recent processes appearing to be isolating the populations from each other. Therefore, these populations are on their way to becoming distinct species (if they are not already) but have arisen following extensive hybridization between other distinct populations or species (Fig.  1 ).

Figure 1 Open in figure viewer PowerPoint There has been extensive historical admixture between Lycaeides species with some new species arising from hybrid populations. (Photo credits: Lauren Lucas, Chris Nice, and James Fordyce).

Their data set must be one of the largest outside of humans, with over one and half thousand butterflies genotyped at over 45 thousand variable nucleotide positions. It is this sheer amount of data that has allowed the researchers to distinguish between historical and more recent evolutionary and demographic processes. This is because it has allowed them to partition the data into common and rare genetic variants and perform separate analyses on these. Common genetic variants are likely to be older while rare variants are more likely to be due to recent mutations. Therefore, by splitting the genetic variation into these components, the researchers were able to show more admixture among common variants, while rare variants showed less admixture and clear separation of the populations. The extensive geographic sampling of individuals, including overlapping distributions of several of the putative species, also allowed the authors to rule out the possibility that the separation of the populations was simply due to geographical distance. The authors have developed a new programme for detecting population structure and admixture, which does the same job as STRUCTURE (Pritchard et al. 2000 ), identifying genetically distinct populations and admixture between these populations, but is designed to be used with next generation sequence data. They use the output of this model for another promising new method to distinguish between contemporary and historical admixtures. They fixed the number of source populations in the model at two and estimated the proportion of each individual's genome coming from these two populations. Therefore, an individual can either be purely population 1, or population 2 or some mixture of the two (they call this value q, the same parameter exists in STRUCTURE). They then compared this to the level of heterozygosity coming from the two source populations in the individual's genome. If an individual is an F1 hybrid of two source populations, then it would have a q of 0.5 and also be heterozygous at all loci that distinguish the parental populations. On the other hand, if it is a member of a stable hybrid lineage, it might also have a q of 0.5 but would not be expected to be heterozygous at these loci, because over time the population would become fixed for one or other of the source population states either by drift or selection (Fig.  2 ). This is indeed what they find in the hybrid populations. They tend to have intermediate q values, but the level of heterozygosity coming from the source populations (which they call Q₁₂) was consistently lower than expected.

Figure 2 Open in figure viewer PowerPoint The Q‐matrix analysis used by Gompert et al. ( 2014 ) to distinguish between contemporary (hybrid swarm) and historical (stable hybrid lineage) admixture.

Overall, the results support several of the populations as being stable hybrid lineages. Nevertheless, the strictest definitions of hybrid species specify that the process of hybridization between the parental species must be instrumental in driving the reproductive isolation of the new species from both parental populations (Abbott et al. 2013 ). This is extremely hard to demonstrate conclusively because it requires us to first of all identify the isolating mechanisms that operated in the early evolution of the species and then to show that these were caused by the hybridization event itself. One advantage of the Lycaeides system is that the species appear to be in the early stages of divergence, so barriers to gene flow that are operating currently are likely to be those that are driving the species divergence. While there is some evidence that hybridization gave rise to traits that allowed the new populations to colonize new environments (Gompert et al. 2006 ; Lucas et al. 2008 ), there is clearly further work to be carried out in this direction. One of the rare examples of homoploid hybrid speciation (hybrid speciation without a change in chromosome number) where the reproductive isolation criterion has been demonstrated, comes from the Heliconius butterflies. In this case, hybridization of two species has been shown to give rise to a new colour pattern that instantly becomes reproductively isolated from the parental species due to mate preference for that pattern (Mavárez et al. 2006 ). However, while this has become a widely accepted example (Abbott et al. 2013 ), the naturally occurring ‘hybrid species’ in fact has derived most of its genome from one of the parental species, with largely just the colour pattern controlling locus coming from the other parent, a process that has been termed ‘hybrid trait speciation’ (Salazar et al. 2010 ). This distinction is an important one in terms of our understanding of the organization of biological diversity. While hybrid trait speciation will still largely fit the model of a neatly branching evolutionary tree, with perhaps only the region surrounding the single introgressed gene deviating from this model, hybrid species that end up with mosaic genomes, like Lycaeides, will not fit this model when considering the genome as a whole. This distinction also more broadly applies when comparing the patterns of divergence between Heliconius and Lycaeides. These two butterfly genera have been driving forward our understanding of the prevalence and importance of hybridization at the genomic level, but they reveal different ways in which hybridization can influence the organization of biological diversity. Recent work in Heliconius has shown that admixture is extensive and has been ongoing over a large portion of the evolutionary history of species (Martin et al. 2013 ; Nadeau et al. 2013 ). Nevertheless, this has not obscured the clear and robust pattern of a bifurcating evolutionary tree when considering the genome as a whole (Nadeau et al. 2013 ). In contrast in Lycaeides, the genome‐wide phylogeny clearly does not fit a bifurcating tree, resembling more of a messy shrub, with hybrid taxa falling at intermediate positions on the phylogeny (Gompert et al. 2014 ). The extent to which we need to rethink the way we describe and organize biological diversity will depend on the relative prevalence of these different outcomes of hybridization. We are likely to see many more of these types of large sequence data sets for ecologically interesting organisms. Gompert et al. ( 2014 ) show that these data need not only be a quantitative advance, but can also qualitatively change our understanding of the evolutionary history of these organisms. In particular, analysing common and rare genetic variants separately may provide information that would otherwise be missed. The emerging field of ‘speciation genomics’ (Seehausen et al. 2014 ) should follow this lead in developing new ways of making the most of the flood of genomic data that is being generated, but also improve methods for integrating this with field observations and experiments to identify the sources and targets of selection and divergence.

References

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This article was written and figures prepared by N.N. except as specified in the text (photo credits).

Citing Literature

Number of times cited according to CrossRef: 4

• V. Alex Sotola, David S. Ruppel, Timothy H. Bonner, Chris C. Nice, Noland H. Martin, Asymmetric introgression between fishes in the Red River basin of Texas is associated with variation in water quality, Ecology and Evolution, 10.1002/ece3.4901, 9 , 4, (2083-2095), (2019). Wiley Online Library
• Matej Bocek, Dominik Kusy, Michal Motyka, Ladislav Bocak, Persistence of multiple patterns and intraspecific polymorphism in multi-species Müllerian communities of net-winged beetles, Frontiers in Zoology, 10.1186/s12983-019-0335-8, 16 , 1, (2019). Crossref
• Nicola J. Nadeau, Takeshi Kawakami, Population Genomics of Speciation and Admixture, , 10.1007/13836_2018_24, (2018). Crossref
• Amanda Roe, Julian Dupuis, Felix Sperling, Molecular Dimensions of Insect Taxonomy in the Genomics Era, Insect Biodiversity, 10.1002/9781118945568, (547-573), (2017). Wiley Online Library

Volume 23 , Issue 18 September 2014

Pages 4441-4443     

Heritability not missing—genetic basis of sexual weaponry uncovered

The chase to uncover the genetic underpinnings of quantitative traits of ecological and evolutionary importance has been on for a good while. However, the potential power of genome‐wide association studies (GWAS) as an approach to identify genes of interest in wild animal populations has remained untapped. Setting technical and economic explanations aside, the sobering lack of success in human GWAS might have fed this restraint. Namely, while GWAS have successfully identified genetic variants associated with hundreds of complex traits (e.g. Ku et al. 2010 ), these variants have generally captured only a low percentage of variance in traits known to be highly heritable—an observation came to be known as the ‘missing heritability’ ( Maher 2008 ; Aulchenko et al. 2009 ). Hence, if the vastly resourced human studies have been unsuccessful (but see: Yang et al. 2010 ), why should we expect that less resourced studies of wild animal populations would be able do better? In this issue of Molecular Ecology, Johnston et al. (2011) prove this line of thinking wrong. In an impressive and what may well be the most advanced gene mapping study ever performed in a wild population, they identify a single locus (RXFP2) responsible for explaining horn phenotype in feral domestic sheep from St Kilda ( Fig. 1 ). This same locus is also shown to account for up to 76% of additive genetic variance in horn size in male sheep: this contrasts sharply with most human GWAS where mapped loci explain only a modest proportion of genetic variation in a given trait.

Figure 1 Open in figure viewer PowerPoint The Soay sheep of the St Kilda archipelago are a primitive feral breed of domestic sheep. Pictured are a male with vestigial horns (=‘scurred’; left) and two normal‐horned males (centre and right). Photograph courtesy of Peter Korsten.     

The breakthrough paradox: How focusing on one form of innovation jeopardizes the advancement of science

Research needs a balance of risk‐taking in “breakthrough projects” and gradual progress. For building a sustainable knowledge base, it is indispensable to provide support for both. Subject Categories: Careers, Economics, Law & Politics, Science Policy & Publishing

Science is about venturing into the unknown to find unexpected insights and establish new knowledge. Increasingly, academic institutions and funding agencies such as the European Research Council (ERC) explicitly encourage and support scientists to foster risky and hopefully ground‐breaking research. Such incentives are important and have been greatly appreciated by the scientific community. However, the success of the ERC has had its downsides, as other actors in the funding ecosystem have adopted the ERC’s focus on “breakthrough science” and respective notions of scientific excellence. We argue that these tendencies are concerning since disruptive breakthrough innovation is not the only form of innovation in research. While continuous, gradual innovation is often taken for granted, it could become endangered in a research and funding ecosystem that places ever higher value on breakthrough science. This is problematic since, paradoxically, breakthrough potential in science builds on gradual innovation. If the value of gradual innovation is not better recognized, the potential for breakthrough innovation may well be stifled.

While continuous, gradual innovation is often taken for granted, it could become endangered in a research and funding ecosystem that places ever higher value on breakthrough science.

Concerns that the hypercompetitive dynamics of the current scientific system may impede rather than spur innovative research have been voiced for many years (Alberts et al, 2014). As performance indicators continue to play a central role for promotions and grants, researchers are under pressure to publish extensively, quickly, and preferably in high‐ranking journals (Burrows, 2012). These dynamics increase the risk of mental health issues among scientists (Jaremka et al, 2020), dis‐incentivise relevant and important work (Benedictus et al, 2016), decrease the quality of scientific papers (Sarewitz, 2016) and induce conservative and short‐term thinking rather than risk‐taking and original thinking required for scientific innovation (Alberts et al, 2014; Fochler et al, 2016). Against this background, strong incentives for fostering innovative and daring research are indispensable.     

Cost and availability of novel cell and gene therapies: Can we avoid a catastrophic second valley of death?

Advanced gene and cellular therapies risk a second “valley of death” due to their high costs and low patient population. As these are life‐saving therapies, measures are urgently needed to prevent their withdrawal from the market. Subject Categories: Economics, Law & Politics, Genetics, Gene Therapy & Genetic Disease, Pharmacology & Drug Discovery

During the past years, several advanced gene and cell therapies to target rare genetic diseases have demonstrated long‐lasting efficacy: essentially “curing” severe and previously incurable diseases and returning patients to a normal life. These therapies are classified as advanced therapy medicinal products (ATMPs); a few of these have received marketing authorization in Europe and the USA, and more will conceivably follow in the near future (De Luca et al, ²⁰¹⁹). Their success represents a milestone in medicine that 1 day might be compared with the discovery of antibiotics or the development of vaccines.

… once a therapy is successfully out of this first, biomedical “valley of death” and approved for use, it frequently encounters a second, economic “valley of death” that prevents its use in patients.

As “advanced” implies, the development of these therapies from the research laboratory to clinical trials is a long and very expensive ordeal. Bringing an ATMP to the market takes years, often decades, and still has a high failure rate (Cossu et al, ²⁰¹⁸). However, once a therapy is successfully out of this first, biomedical “valley of death” and approved for use, it frequently encounters a second, economic “valley of death” that prevents its use in patients. This problem needs a solution for medical, ethical and economic reasons; readers are also refereed to recent articles dealing with the same problem for haematopoietic diseases (Aiuti et al, ²⁰²²; Halley et al, ²⁰²²) or genodermatoses (Palamenghi et al, ²⁰²²).     

Through an ecological lens: An ecosystem‐based approach to zoonotic risk assessment

Public health strategies to mitigate the emergence of novel pathogenic viruses should implement longitudinal metagenomic surveillance of ecosystems experiencing biodiversity changes to identify generalist viruses. Subject Categories: Evolution & Ecology, Microbiology, Virology & Host Pathogen Interaction

The emergence and pandemic spread of SARS‐CoV‐2 in late 2019 was a humbling reminder that novel infectious diseases continue to thwart our efforts to prevent another global pandemic. There is now strong evidence that SARS‐CoV‐2 is a zoonotic virus that likely spilled over from bats into humans via another mammalian host (Holmes et al, ²⁰²¹). Such zoonoses—pathogens that are able to transmit from animals to humans—are the main source of emerging disease and are estimated to have caused at least 60% of infectious disease outbreaks in humans since the 1940s (Jones et al, ²⁰⁰⁸). Alarmingly, the frequency of zoonotic events is projected to increase owing to climate change and other anthropogenic factors such as humans encroaching onto pristine forests and other ecosystems (Holmes, ^{2022a, 2022b}).     

Pathogen pollution and the emergence of a deadly amphibian pathogen

Imagine a single pathogen that is responsible for mass mortality of over a third of an entire vertebrate class. For example, if a single pathogen were causing the death, decline and extinction of 30% of mammal species (including humans), the entire world would be paying attention. This is what has been happening to the world's amphibians – the frogs, toads and salamanders that are affected by the chytrid fungal pathogen, Batrachochytrium dendrobatidis (referred to as Bd), which are consequently declining at an alarming rate. It has aptly been described as the worst pathogen in history in terms of its effects on biodiversity (Kilpatrick et al. 2010). The pathogen was only formally described about 13 years ago (Longcore et al. 1999), and scientists are still in the process of determining where it came from and investigating the question: why now? Healthy debate has ensued as to whether Bd is a globally endemic organism that only recently started causing high mortality due to shifting host responses and/or environmental change (e.g. Pounds et al. 2006) or whether a virulent strain of the pathogen has rapidly disseminated around the world in recent decades, affecting new regions with a vengeance (e.g. Morehouse et al. 2003; Weldon et al. 2004; Lips et al. 2008). We are finally beginning to shed more light on this question, due to significant discoveries that have emerged as a result of intensive DNA‐sequencing methods comparing Bd isolates from different amphibian species across the globe. Evidence is mounting that there is indeed a global panzootic lineage of Bd (BdGPL) in addition to what appear to be more localized endemic strains (Fisher et al. 2009; James et al. 2009; Farrer et al. 2011). Additionally, BdGPL appears to be a hypervirulent strain that has resulted from the hybridization of different Bd strains that came into contact in recent decades, and is now potentially replacing the less‐virulent endemic strains of the pathogen (Farrer et al. 2011). In a new study published in this issue of Molecular Ecology, Schloegel et al. (2012) identify an additional unique Bd lineage that is endemic to the Atlantic Brazilian rainforests (Bd‐Brazil) and provide striking evidence that the Bd‐Brazil lineage has sexually recombined with the BdGPL lineage in an area where the two lineages likely came into contact as a result of classic anthropogenically mediated ‘pathogen pollution’(see below). Fungal pathogens, including Bd, have the propensity to form recombinant lineages when allopatric populations that have not yet formed genetic reproductive barriers are provided with opportunities to intermingle, and virulent strains may be selected for because they tend to be highly transmissible (Fisher et al. 2012). As Schloegel et al. (2012) point out, the demonstrated ability for Bd to undergo meiosis may also mean that it has the capacity to form a resistant spore stage (as yet undiscovered), based on extrapolation from other sexually reproducing chytrids that all have spore stages.     

Triangulating the genetic basis of adaptation to multifarious selection

Understanding how natural populations adapt to their local environments is a major research theme for ecological genomics. This endeavour begins by sleuthing for shared genetic similarities among unrelated natural populations sharing adaptive traits to documented selective pressures. When the selective pressures have low dimensionality, and the genetic response is localized to a few genes of major effect, this detective work is relatively straightforward. However, in the real world, populations face a complex mixture of selective pressures and many adaptive responses are the result of changes in quantitative traits that have a polygenic genetic basis. This complex relationship between environment and adaptation presents a significant challenge. How can we begin to identify drivers of adaptation in natural settings? In this issue of Molecular Ecology, Orsini et al. (2012) take advantage of the biological attributes of the freshwater microcrustacean Daphnia ( Fig. 1 ) to disentangle multidimensional selection’s signature on the genome of populations that have repeatedly evolved adaptive responses to isolated selective pressures including predation, parasitism and anthropogenic changes in land use. Orsini et al. (2012) leverage a powerful combination of spatially structured populations in a geographic mosaic of environmental stressors, the historical archive of past genotypes preserved in lake‐bottom sediments and selection experiments to identify sets of candidate genomic regions associated with adaptation in response to these three environmental stressors. This study provides a template for future investigation in ecological genomics, combining multiple experimental approaches with the genomic investigation of a well‐studied ecological model species.

Figure 1 Open in figure viewer PowerPoint Adult Daphnia magna carrying a resting egg in the brood pouch. The water flea Daphnia is a renowned ecological model system and rapidly developing as an ecological and environmental genomics model species. Photo credit Joachim Mergeay.     

Introducing quality measures in an academic research consortium: Lessons and recommendation from implementing an ad hoc quality management system for organ model research

Lessons from implementing quality control systems in an academic research consortium to improve Good Scientific Practice and reproducibility. Subject Categories: Microbiology, Virology & Host Pathogen Interaction, Science Policy & Publishing

Low reproducibility rates within biomedical research negatively impact productivity and translation. One promising approach to enhance the transfer of robust results from preclinical research into clinically relevant and transferable data is the systematic implementation of quality measures in daily laboratory routines.

Although many universities expect their scientists to adhere to GSPs, they often neither systematically support, nor monitor the quality of their research activities.

Today''s fast‐evolving research environment needs effective quality measures to ensure reproducibility and data integrity (Macleod et al, ²⁰¹⁴; Begley et al, ²⁰¹⁵; Begley & Ioannidis, ²⁰¹⁵; Baker, ²⁰¹⁶). Academic research institutions and laboratories may be as committed to good scientific practices (GSPs) as their counterparts in the biotech and pharmaceutical industry but operate largely without clearly defined standards (Bespalov et al, ²⁰²¹; Emmerich et al, ²⁰²¹). Although many universities expect their scientists to adhere to GSPs, they often neither systematically support, nor monitor the quality of their research activities. Peer review of publications is still regarded as the primary validation of quality control in academic research. However, reviewers only assess work after it has been performed—often over years—and interventions in the experimental process are thus no longer possible.The reasons for the lack of dedicated quality management (QM) implementations in academic laboratories include an anticipated overload of regulatory tasks that could negatively affect productivity, concerns about the loss of scientific freedom, and importantly, limited resources in academia and academic funding schemes.     

Facilitating open science without sacrificing IP rights: A novel tool for improving replicability of published research

Conditional Access Agreements could improve replicability of research and enhance Open Science without jeopardizing intellectual property rights. Subject Categories: Economics, Law & Politics, Science Policy & Publishing

Replicability is a cornerstone of the scientific enterprise. Validating published scientific findings enhances their credibility and helps to build a self‐correcting cumulative knowledge base. It also increases public trust in science (Wingen et al  ²⁰²⁰). Unfortunately, the scientific community has been facing a considerable problem for at least two decades: the replication crisis (Ioannidis, ²⁰⁰⁵). Scientists in various disciplines have significant difficulties trying to verify published scientific findings (Baker, ²⁰¹⁶). One prominent factor accounting for non‐replicability is diminished access to research materials required for replication (replication materials).

Scientists in various disciplines have significant difficulties trying to verify published scientific findings.

This problem is particularly noticeable in computational studies: research that utilizes computational models, often with an immense amount of data. With the rise of powerful computers, machine learning and big data, computational studies are increasingly used in a variety of disciplines. This trend is evident in biology as well, including in systems biology, genomics, proteomics, and other areas (Markowetz, ²⁰¹⁷). A famous example that demonstrates the importance of computational biology is the Human Genome Project. Developments in computational biology are crucial in advancing promising research prospects in areas such as vaccine antigen design and structural bioinformatics.

The problem of diminished access to replication materials has been reported as a major stumbling block impeding the replicability of computational biology studies.

A scientific paper alone would not typically enable others to replicate the study described therein (Merali, ²⁰¹⁰). Replicating a computational study generally requires access to the code, software documentation, datasets, workflows, and other information regarding the methodology (Easterbrook, ²⁰¹⁴). In most cases, however, authors do not publicly share these elements, which renders such studies impossible to replicate (Merali, ²⁰¹⁰; Stodden et al, ²⁰¹⁸). The problem of diminished access to replication materials has been reported as a major stumbling block impeding the replicability of computational biology studies (Crook et al, ²⁰¹³; Miłkowski et al, ²⁰¹⁸).     

Structural basis of transport and inhibition of the Plasmodium falciparum transporter PfFNT

In “Structural basis of transport and inhibition of the Plasmodium falciparum transporter PfFNT” by Lyu et al (2021), the authors depict the inhibitor MMV007839 in its hemiketal form in Fig 3A and F, Fig 4C, and Appendix Figs S10A, B and S13. We note that Golldack et al (2017) reported that the linear vinylogous acid tautomer of MMV007839 constitutes the binding and inhibitory entity of PfFNT. The authors are currently obtaining higher resolution cryo‐EM structural data of MMV007839‐bound PfFNT to ascertain which of the interconvertible isoforms is bound and the paper will be updated accordingly.     

Fission and fusion in island taxa – serendipity,or something to be expected?

A well‐used metaphor for oceanic islands is that they act as ‘natural laboratories’ for the study of evolution. But how can islands or archipelagos be considered analogues of laboratories for understanding the evolutionary process itself? It is not necessarily the case that just because two or more related species occur on an island or archipelago, somehow, this can help us understand more about their evolutionary history. But in some cases, it can. In this issue of Molecular Ecology, Garrick et al. ( 2014 ) use population‐level sampling within closely related taxa of Galapagos giant tortoises to reveal a complex demographic history of the species Chelonoidis becki – a species endemic to Isabela Island, and geographically restricted to Wolf Volcano. Using microsatellite genotyping and mitochondrial DNA sequencing, they provide a strong case for C. becki being derived from C. darwini from the neighbouring island of Santiago. But the interest here is that colonization did not happen only once. Garrick et al. ( 2014 ) reveal C. becki to be the product of a double colonization event, and their data reveal these two founding lineages to be now fusing back into one. Their results are compelling and add to a limited literature describing the evolutionary consequences of double colonization events. Here, we look at the broader implications of the findings of Garrick et al. ( 2014 ) and suggest genomic admixture among multiple founding populations may be a characteristic feature within insular taxa.     

Can we stop transgenes from taking a walk on the wild side?

Whether the potential costs associated with broad‐scale use of genetically modified organisms (GMOs) outweigh possible benefits is highly contentious, including within the scientific community. Even among those generally in favour of commercialization of GM crops, there is nonetheless broad recognition that transgene escape into the wild should be minimized. But is it possible to achieve containment of engineered genetic elements in the context of large scale agricultural production? In a previous study, Warwick et al. (2003) documented transgene escape via gene flow from herbicide resistant (HR) canola (Brassica napus) into neighbouring weedy B. rapa populations ( Fig. 1 ) in two agricultural fields in Quebec, Canada. In a follow‐up study in this issue of Molecular Ecology, Warwick et al. (2008) show that the transgene has persisted and spread within the weedy population in the absence of selection for herbicide resistance. Certainly a trait like herbicide resistance is expected to spread when selected through the use of the herbicide, despite potentially negative epistatic effects on fitness. However, Warwick et al.'s findings suggest that direct selection favouring the transgene is not required for its persistence. So is there any hope of preventing transgene escape into the wild?

Figure 1 Open in figure viewer PowerPoint Weedy Brassica rapa (orange flags) growing in a B. napus field. (Photo: MJ Simard)     

Molecular basis of cross‐species ACE2 interactions with SARS‐CoV‐2‐like viruses of pangolin origin

Correction to: The EMBO Journal (2021) 40: e107786. DOI 10.15252/embj.2021107786 | Published online 8 June 2021The authors would like to add three references to the paper: Starr et al and Zahradník et al also reported that the Q498H or Q498R mutation has enhanced binding affinity to ACE2; and Liu et al reported on the binding of bat coronavirus to ACE2.Starr et al and Zahradník et al have now been cited in the Discussion section, and the following sentence has been corrected from:“According to our data, the SARS‐CoV‐2 RBD with Q498H increases the binding strength to hACE2 by 5‐fold, suggesting the Q498H mutant is more ready to interact with human receptor than the wildtype and highlighting the necessity for more strict control of virus and virus‐infected animals”.to“Here, according to our data and two recently published papers, the SARS‐CoV‐2 RBD with Q498H or Q498R increases the binding strength to hACE2 (Starr et al, 2020; Zahradník et al, 2021), suggesting the mutant with Q498H or Q498R is more ready to interact with human receptor than the wild type and highlighting the necessity for more strict control of virus and virus‐infected animals”.The Liu et al citation has been added to the following sentence:“In another paper published by our group recently, RaTG13 RBD was found to bind to hACE2 with much lower binding affinity than SARS‐CoV‐2 though RaTG13 displays the highest whole‐genome sequence identity (96.2%) with the SARS‐CoV‐2 (Liu et al, 2021)”.Additionally, the authors have added the GISAID accession IDs to the sequence names of the SARS‐CoV‐2 in two human samples (Discussion section). To make identification unambiguous, the sequence names have been updated from “SA‐lsf‐27 and SA‐lsf‐37” to “GISAID accession ID: EPI_ISL_672581 and EPI_ISL_672589”.Lastly, the authors declare in the Materials and Methods section that all experiments employed SARS‐CoV‐2 pseudovirus in cultured cells. These experiments were performed in a BSL‐2‐level laboratory and approved by Science and Technology Conditions Platform Office, Institute of Microbiology, Chinese Academy of Sciences.These changes are herewith incorporated into the paper.