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Enregistrement W4200386868 · doi:10.1111/mec.16328

Editorial 2022

2021· editorial· es· W4200386868 sur OpenAlexaffabout
Loren H. Rieseberg, Emily Warschefsky, Bridget O’Boyle, Pierre Taberlet, Daniel Ortíz-Barrientos, Nolan C. Kane, Benjamin Sibbett

Notice bibliographique

RevueMolecular Ecology · 2021
Typeeditorial
Languees
DomaineEnvironmental Science
ThématiqueEnvironmental DNA in Biodiversity Studies
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésEcologyBiologyImpact factorEvolutionary ecologyMolecular ecologyRanking (information retrieval)Diversity (politics)SociologyComputer scienceAnthropologyDemographyInformation retrievalPopulation

Résumé

récupéré en direct d'OpenAlex

Molecular Ecology continues to be well cited, with an Impact Factor (IF) of 6.185 in 2020, ranking 7th out of 50 journals in evolutionary biology according to Clarivate's Journal Citation Reports. In terms of overall impact, Molecular Ecology ranks third among ecology journals and second among evolution journals as measured by Google Scholar's h5-index, which is the h-index for articles published over the past five years. This stems both from the large number of articles published in Molecular Ecology each year (386 in 2020), as well as the high median impact factor of our articles. Indeed, Molecular Ecology ranks second among ecology journals in Google Scholar's h5-median statistic and third among evolution journals by this measure. As discussed in last year's editorial we are now making open calls for Associate Editors. This approach has been successful, resulting in the recruitment of 10 new Associate Editors and helping to diversify the Editorial Board geographically. Molecular Ecology and Molecular Ecology Resources wished to consider implementing double-blind peer review in order to increase the diversity of published authors. The current single-blind model may cause biases against authors based on race, ethnicity, gender, institution, career stage, or other factors. To gain the molecular ecology community's views, we conducted a survey of authors’ and reviewers’ preferences for single-blind, double-blind, and transparent peer review. Out of 165 respondents, 43% preferred double-blind peer review, 33% preferred transparent review, and 24% preferred single-blind review. Definitions of each review model and the most common reasons given for preferring each model are shown in Table 1. Early career researchers were more in favour of double-blind review and less in favour of single-blind review compared to more established researchers (Figure 1). Career stage did not affect preferences for transparent peer review (Figure 1). Although double-blind was the most popular review model, a high number of survey respondents commented that anonymising manuscripts is impractical. Doing so is a significant burden for authors, and reviewers are often able to deduce authors’ identities from the manuscript content. Furthermore, many manuscripts are released as preprints before journal submission, and anonymity would conflict with benefit-sharing statements and with open data policies where manuscripts cite data or scripts attributed to the authors. Despite being the second most popular review model overall, several survey respondents strongly opposed transparent peer review. Concerns included the risk of critical reviewers receiving retaliation from authors, which is a particular threat for early career researchers. Reviewers may therefore feel pressured to comment favourably, or may decline to provide a review. Furthermore, the extra effort required to submit publishable reviews is not acknowledged, while published review documentation may rarely be viewed. In light of the concerns around double-blind and transparent peer review, Molecular Ecology and Molecular Ecology Resources will keep single-blind review but implement changes aimed at reducing potential biases. As preferences varied and were partly influenced by career stage, we also aim to introduce choice. Authors’ identities will be de-emphasised by removing their names from review invitation emails, and reviewers will be asked whether they wish to reveal their identity to the authors. Some Editors wish to be anonymous, and so Editors will be given the choice of whether to sign their decision letters. Editors’ names will be published on accepted articles to recognise their contributions to the review process. We also noted that a number of survey respondents commented that authors value Editors assessing reviews, ensuring that comments are constructive, and specifying which points should be responded to in order to improve the manuscript. These comments have been shared with the journal Editorial Boards, and we will provide Editors with training on standard practice for making decisions on manuscripts. Over the past two years, Molecular Ecology has built a healthy audience across social media. With over 5600 followers currently visiting @molecology and more than 40,000 in a month, the exposure of the work of molecular ecologists from all over the world has gained greater visibility (Figure 2). Members of the Junior Editorial Board (JEB) as well as authors and readers are sharing more than 350 tweets per month, which receive more than 1.5 million impressions (Figure 3). Future growth should ensure that members outside the scientific community will also be exposed to the work of molecular ecologists, thereby increasing their impact in society. The translation of complex work to a general audience is a challenging exercise, and Spotlight, the journal blog, aims to mediate such dialogue. Members of the JEB continue to post summaries of highlighted papers, and “interviews with the author,” particularly those of early career researchers (ECR), which help the broad audience to understand the inception of ideas, implementation of experiments, and interpretation of results. The audience to Spotlight is growing (Figure 4), with visits to both old and new posts, suggesting that the personal experiences of researchers represent a legacy for new members of the scientific community. We expect to slowly grow the output of Spotlight and diversify its portfolio. A major focus of Molecular Ecology is to act as a catalyst of researcher development, particularly those starting their careers. In its third year, the JEB has become an important asset for the journal and is continuing to extend its reach as new cohorts of young researchers join its ranks. We saw the first cohort depart in 2021. Dr. Megan Smith, Dr. Nick Fountain-Jones, and Dr. Luke Brown started their tenure three years ago and we are grateful for their creativity and hard work in helping establish many of the protocols currently employed across the journal. Besides contributing to the Social Media presence of Molecular Ecology and Molecular Ecology Resources, the JEB plays a role in preprint invitations, adjudicating the Harry Smith Prize, and spearheading Special Issues. More recently, the JEB has taken leadership over Reviews and Synthesis under the guidance of several members of the senior editorial board of Molecular Ecology and Molecular Ecology Resources. The JEB’s involvement in this new role is expected to increase the diversity of reviews we publish in the journals. The Molecular Ecology Prize is awarded annually to “an outstanding scientist who has made significant contributions to molecular ecology,” as selected by an independent award committee. In 2021, the prize was awarded to Dr. Fuwen Wei, Professor of Animal Ecology and Conservation Biology in the Institute of Zoology, Chinese Academy of Sciences. Dr. Wei is a pioneer in conservation genomics and metagenomics of endangered animals, focusing mainly on giant and red pandas. He has applied genetic and genomic techniques to assess the past, present and future of giant panda populations, infer their evolutionary and demographic processes, and reveal their adaptive mechanisms for feeding on their specialized bamboo diet. He also has proposed and elaborated targeted strategies for the long-term survival of pandas, which were featured in Science as “Hope for Wild Pandas”. With 5 books and over 270 peer-reviewed journal articles, he is a global leader in molecular ecology and conservation genomics. He has trained numerous students and postdocs, and fostered international cooperation among zoologists and conservation biologists. His impressive accomplishments have earned him numerous awards and recognition, for instance, the Lifetime Achievement Award for Giant Panda Research and Conservation and the Outstanding Science and Technology Achievement Prize of Chinese Academy of Sciences. A biography of Dr. Wei and his contributions to the field of molecular ecology can be found on pages 31–36 of this issue. The Harry Smith Prize recognizes the best paper published in Molecular Ecology in the previous year by graduate students or early career scholars with no more than five years of postdoctoral or fellowship experience. The winner of the 2021 Harry Smith Prize was Yann Dorant at the Université Laval in Québec for his paper titled ‘Copy number variants outperform SNPs to reveal genotype-environment association in a marine species’ (Dorant et al., 2020). The paper shows how reduced-representation sequencing can cost effectively detect both copy number and SNP variation, in this case applied to the analysis of local adaptation in the American lobster. In a similar vein, runner-up Kaichi Huang at the University of British Columbia demonstrated how reduced-representation sequencing can be use to identify inversions segregating in natural populations – in this case between dune and non-dune sunflower ecotypes – and assess their role in ecotype formation (Huang et al., 2020). Second runner-up Tom Booker, also at the University of British Columbia, employed a combination of computer simulations and empirical data to demonstrate that recombination cold spots have a longer-tailed distribution of FST values than regions with higher recombination rates, leading to an excess of false positives in the former and a deficit in the latter (Booker et al., 2020). Dorant, Huang, and Booker have joined our JEB as part of the prize. The prize is named after Professor Harry Smith FRS, who founded the journal and served as both its Chief and Managing Editor during the journal's critical early years. He continued as the journal's Managing Editor until 2008, and went out of his way to encourage early career scholars. As in past years, we are grateful to our many referees, who are listed at the end of this editorial, for the contribution of their time to the journal and to the discipline. In lieu of a scientific society for molecular ecologists, Molecular Ecology offers an intellectual home for the molecular ecology community. This includes our social platform (see above), which focuses on research published in Molecular Ecology and Molecular Ecology Resources, our News and Views section, special issues, reviews, and so forth. We also support the Molecular Ecologist blog (http://www.molecularecologist.com/), which covers research and news reported in venues beyond Molecular Ecology, and with an eye to the interests of people who are not necessarily experts in the field. Lastly, we use our annual editorial to highlight scientific advances published over the past year in the journal (below). The News and Views section of Molecular Ecology highlights some of the year's most noteworthy papers as From the Cover manuscripts. In 2021, these 10 articles showcase the innovative approaches being taken to advance the field of molecular ecology. From the Cover pieces in 2021 all share the common theme of examining drivers of biological diversity, adaptation, and selection processes, using creative and innovative methodological approaches to tackle important outstanding questions in the field. Metabarcoding has revolutionized our ability to survey biological diversity in a number of previously intractable habitats. Taking advantage of this tool, a From the Cover manuscript by Arribas et al. (2021) used haplotype-level community metabarcoding to examine soil arthropod diversity in three regions of the Iberian mountains, gleaning data from >1000 species and 3000 haplotypes. The authors used this rich dataset to explore turnover of community assembly across and within habitats, finding strong differentiation at both spatial scales. These results indicate that dispersal limitations are an important driver of soil arthropod diversity and suggest we may be underestimating global diversity of this taxonomic group. When considering how symbiosis drives diversity, examples of co-speciation between symbiotic lineages are often cited, yet a From the Cover paper by Dal Forno et al. (2021) provides a fascinating example of how rapid radiation of one symbiotic partner can occur without complementary diversification of the other. The authors used genetic sequence data to examine the diversity of fungal (mycobiont) and cyanobacterial (photobiont) partners that form Dictyonema lichens. While recent work has shown Dictyonema mycobiont diversity to be extremely high, with more than 200 species described so far, Dal Forno et al. find cyanobacterial diversity to be far lower, identifying just three main lineages. Consequently, the same Dictyonema photobionts are shared across long-diverged fungal lineages, supporting the analogy of lichens as fungal “farmers” that circulate amenable photobiont “crops” amongst themselves. Major environmental shifts can drive – or devastate – biodiversity. In a From the Cover article, Stiller et al. (2021) explored how historical changes in sea level shaped modern population dynamics of sea which the of The authors first the species’ historical during and the last across the modern sequencing to population and The combination of approaches Stiller et al. to provide a of how sea level and with demographic and in sea resulting in the complex of diversity we have how and the such A From the Cover by et al. (2021) to light on the that drive this diversity, using the species a over the of three years, the authors found strong and but also genetic and between from and habitats. The authors used to in on under selection between many of which such as and As (2021) in the the work of et al. an in molecular ecology and in its to the and of the between diversity, and adaptation is important in the of and this can be for which are and often have complex In a From the Cover article, et al. (2021) use a combination of and genomic data to in populations of in a common established in environmental data on and with data on growth and the authors genotype-environment and as well as identifying in and As and (2021) suggest in the the work of et al. how complementary of can some of the with While genetic within a species can provide a for adaptation, how between populations impact this A From the Cover by et al. (2021) to this using a species with compared to its more populations of the species habitats, in the process. et al. used three populations to that the genetic mechanisms this are more in than in the This work how population dynamics adaptation, in similar years have an for the complex of molecular mechanisms for and adaptation, and This year, a of From the Cover manuscripts by et al. and et al. and et al. (2021) important in this populations, et al. not provide a example that selection at the level of but also the and form of this The authors use a genetic with for to examine in with results than selection across to As and (2021) in the such are critical to how selection at scales. of can to yet is its role in adaptive differentiation in A From the Cover by and (2021) both and in the adaptation of three of population the authors find in and In and are more to a role in This work highlights the important and role is in adaptive evolution and a for more research on this While a way to examine how populations to changes in environmental is how often these results the that would in natural In a on the From the Cover manuscript of et al. and (2021) evolution natural To explore this et al. changes in of under two over the of The authors over 200 that changes in in to the these from that were as a of general et al. compared the of in the to those from found in natural finding significant between the This work at in some can how natural populations will to to environmental changes at the and but how more complex A From the Cover by et al. (2021) shows how rapid changes in can in a the the authors were able to examine changes in et al. find shifts in the of the of 10 one to be in the of and (2021) as we to how and whether species can with the work of et al. provides how critical of In 2021 we published two Special and one Special The a Special titled for by and was a to the special et al., In the past advances and of sequencing have the and taxonomic of and The first of papers in the special focuses on et al., et al., et al., of sequence data sequencing of et al., et al., and et al., et al., et al., and how best to these to assess et al., The second of manuscripts within the special focuses on the use of for biodiversity. As et al. (2021) out in their to the special are among the most important and the use of to diversity is in this section beyond to for from et al., et al. et al., and using to how and and spatial of species et al., et al., et al., et al., important in implementing new molecular is of the which is the focus of the second of papers within the special issue. In the case of approaches to of metabarcoding et al., et al., et al., et al., and et al., He et al., et al., 2020). papers within this section examine the of selection et al., et al., et al., of soil et al., and of data analysis et al., The three papers within the special highlight innovative approaches to analysis that for dynamics and demographic et al., and the creative use of to assess diversity et al., As et al. (2021) at the end of their papers to major that have been to improve at of the from to data yet the that is now high time to on and to the field a applied The Special published this year from genetic to was by and As out in the to the special et al., this of papers on a of adaptation the of to and The first section of the special focuses on the genetic and genomic by of The papers in this section advance the field examining in the of dynamics such as et al., et al., and copy number at both the local et al., and et al., et al., A of these manuscripts provide the evolution of fungal examining the evolution of particular among species and the genomic of across et al., The second of the special focuses on the of an of how impact the dynamics of of and their et al., examining in the of and populations of et al., and the between and and in et al., As the in the of their editorial these beyond the level of and genetic of to increase our of the genomic and dynamics in The special of 2021, sequencing in molecular was by and This special “an of that the of sequencing to provide new the molecular ecology of a of species and et al., theme among the papers within the special on methodological approaches and advances in sequencing and includes manuscripts the role of in that a of diversity at and et al., et al., articles that to the of by sequencing and sequencing provide for the of in many et al., et al., et al., while use to previously et al., of the manuscripts in this special provide methodological that will our community for years to et al., et al., and a of for data analysis A second theme within the special is that of empirical using to infer demographic dynamics across evolutionary These papers demonstrate with from just a can be used to detect shifts in historical population with of and et al., et al., et al., et al., et al., data can also be used to complex evolutionary such as the adaptive of et al., et al., et al., et al. and regions et al., such as inversions et al., A manuscript on this provides a review of how the particular of compared to for a of the evolutionary of species et al., As noted in the editorial, is conservation by of population which with of demographic is how populations at their present et al., A of papers in this special demonstrate the of such advances across et al., et al., et al., et al., and et al., The special also includes a of papers work that use to the genetic of adaptive et al. et al., and environmental et al., advantage of the genomic data to examine et al., et al., while use to association a at genomic regions in adaptation to particular environmental et al., et al., As the in their contributions in this special a new in molecular as we that a and of will provide questions in ecology and et al., in the and et al. (2021) proposed that can be an evolutionary how this that is to the adaptive and other community to to of these In and (2021) the of inversions selection on the genomic et al. (2021) the involvement of in et al. (2021) the of genetic diversity in long-term et al. (2021) a for a of their to be or and their evolutionary of this year's have on the analysis and interpretation of A more analysis of data from et that from fungal species have been to the fungal et al., et al., et al. (2021) the of analysis using metabarcoding in with and varied (2021) data from to a of and (2021) with important et al. and et al. the both of which a broad use of to to to some on how best to the of being This editorial is to provide a of the out by editorial at Molecular Ecology over the past year, as well as to some of the editorial we are considering at the journal. We also to our for the being published in Molecular Lastly, we wish to our authors, and for continued and we on how to improve the journal. We the large number of who have to the field of molecular ecology by manuscripts for the journal. The people who articles for Molecular Ecology between and 2021. Booker, Tom Yann Luke Dal Tom Megan Tom Tom Luke Huang, Huang, Huang, Wei Megan Luke Megan Megan Tom Smith, Smith, Megan Smith, Smith, Megan Megan Yann Wei,

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,018
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,421
Score d'incertitude au seuil0,826

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,018
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0030,001
Études des sciences et des technologies0,0020,001
Communication savante0,0090,003
Science ouverte0,0020,002
Intégrité de la recherche0,0040,005
Charge utile insuffisante (le modèle a refusé de juger)0,4210,357

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,004
Tête enseignante GPT0,204
Écart entre enseignants0,200 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2021
Routes d'admission2
Résumé présentoui

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Même revueMolecular EcologyMême sujetEnvironmental DNA in Biodiversity StudiesTravaux en français237 207