Applications in Plant Sciences最新文献

{"title":"A roadmap of phylogenomic methods for studying polyploid plant genera","authors":"Weixuan Ning,&nbsp;Heidi M. Meudt,&nbsp;Jennifer A. Tate","doi":"10.1002/aps3.11580","DOIUrl":"10.1002/aps3.11580","url":null,"abstract":"<p>Phylogenetic inference of polyploid species is the first step towards understanding their patterns of diversification. In this paper, we review the challenges and limitations of inferring species relationships of polyploid plants using traditional phylogenetic sequencing approaches, as well as the mischaracterization of the species tree from single or multiple gene trees. We provide a roadmap to infer interspecific relationships among polyploid lineages by comparing and evaluating the application of current phylogenetic, phylogenomic, transcriptomic, and whole-genome approaches using different sequencing platforms. For polyploid species tree reconstruction, we assess the following criteria: (1) the amount of prior information or tools required to capture the genetic region(s) of interest; (2) the probability of recovering homeologs for polyploid species; and (3) the time efficiency of downstream data analysis. Moreover, we discuss bioinformatic pipelines that can reconstruct networks of polyploid species relationships. In summary, although current phylogenomic approaches have improved our understanding of reticulate species relationships in polyploid-rich genera, the difficulties of recovering reliable orthologous genes and sorting all homeologous copies for allopolyploids remain a challenge. In the future, assembled long-read sequencing data will assist the recovery and identification of multiple gene copies, which can be particularly useful for reconstructing the multiple independent origins of polyploids.</p>","PeriodicalId":8022,"journal":{"name":"Applications in Plant Sciences","volume":"12 4","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aps3.11580","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140672894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An inexpensive moist chamber culture technique for finding microbiota on live tree bark","authors":"Ashley P. Bordelon,&nbsp;Harold W. Keller,&nbsp;Angela R. Scarborough","doi":"10.1002/aps3.11578","DOIUrl":"https://doi.org/10.1002/aps3.11578","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Premise</h3>\u0000 \u0000 <p>Traditional moist chamber cultures (MCs) prepared in aseptic laboratory environments using sterile Petri dishes are commonly used to quantify the microbiota of rough-bark tree species and woody vines. MCs are typically expensive and may be difficult to make, so a less expensive option made from easily available supplies was developed. These cost-friendly MCs were compared with standard laboratory methods to demonstrate their efficacy.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods and Results</h3>\u0000 \u0000 <p>Modified MCs were made using inexpensive, store-bought supplies; compared to a standard laboratory setting, the modified MCs are shown to be less expensive with a faster setup time and larger size that facilitates a variety of tree and woody vine species. MC use resulted in the discovery of new species of fungi and myxomycetes with associated locality records. We provide detailed instructions for creating modified MCs, as well as a list of myxomycete species and their associated bark characteristics, pH values, and water-holding capacity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>This new, low-cost MC technique makes the study of microbiota more inclusive and accessible for those in research laboratories, classrooms, and homes, including both amateurs and professionals. MCs are easy to prepare, versatile, and applicable for many areas of botany and the biological sciences, potentially allowing exploration into unexplored areas in urban ecosystems.</p>\u0000 </section>\u0000 </div>","PeriodicalId":8022,"journal":{"name":"Applications in Plant Sciences","volume":"12 2","pages":""},"PeriodicalIF":3.6,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aps3.11578","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140559507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A machine learning approach to study plant functional trait divergence","authors":"Sambadi Majumder,&nbsp;Chase M. Mason","doi":"10.1002/aps3.11576","DOIUrl":"10.1002/aps3.11576","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Premise</h3>\u0000 \u0000 <p>Plant functional traits are often used to describe the spectra of ecological strategies used by different species. Here, we demonstrate a machine learning approach for identifying the traits that contribute most to interspecific phenotypic divergence in a multivariate trait space.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Descriptive and predictive machine learning approaches were applied to trait data for the genus <i>Helianthus</i>, including random forest and gradient boosting machine classifiers and recursive feature elimination. These approaches were applied at the genus level as well as within each of the three major clades within the genus to examine the variability in the major axes of trait divergence in three independent species radiations.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Machine learning models were able to predict species identity from functional traits with high accuracy, and differences in functional trait importance were observed between the genus and clade levels indicating different axes of phenotypic divergence.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Applying machine learning approaches to identify divergent traits can provide insights into the predictability or repeatability of evolution through the comparison of parallel diversifications of clades within a genus. These approaches can be implemented in a range of contexts across basic and applied plant science from interspecific divergence to intraspecific variation across time, space, and environmental conditions.</p>\u0000 </section>\u0000 </div>","PeriodicalId":8022,"journal":{"name":"Applications in Plant Sciences","volume":"12 5","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aps3.11576","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140566330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Resilient botany: Innovation in the face of limited mobility and resources","authors":"Gillian H. Dean,&nbsp;N. Ivalú Cacho,&nbsp;Alejandro Zuluaga Trochez,&nbsp;Gregory J. Pec","doi":"10.1002/aps3.11577","DOIUrl":"https://doi.org/10.1002/aps3.11577","url":null,"abstract":"&lt;p&gt;In 2020, at the beginning of the COVID-19 pandemic, &lt;i&gt;Applications in Plant Sciences&lt;/i&gt; (&lt;i&gt;APPS&lt;/i&gt;) published a special issue titled “Conducting botanical research with limited resources: Low-cost methods in the plant sciences” (Dean et al., &lt;span&gt;2020&lt;/span&gt;). The goal of that collection was to highlight robust, low-cost methods that could be used by researchers in under-resourced settings. Plant scientists face resource limitations for many reasons. In some countries, inadequate national funding is a major issue, as well as limited long-term investment in research infrastructure. At the same time, factors contributing to low-resource settings are also experienced by researchers in countries where research funding is more abundant. For example, although national research programs in the Global North are generally well funded, these funds may be difficult to access for investigators who hold positions at smaller institutions, such as predominantly undergraduate institutions.&lt;/p&gt;&lt;p&gt;Regardless of geographic location, lack of training and access to expensive and specialized equipment can be limiting, and funding to acquire expensive equipment often does not include salary for maintenance and operation by trained personnel after the initial purchase and set up. In addition, research may be performed by new investigators such as undergraduate or graduate students, or when established labs wish to explore new areas of research or techniques without committing significant resources.&lt;/p&gt;&lt;p&gt;Globally, substantial and significant scientific research is performed in these under-resourced settings. The COVID-19 pandemic exacerbated this situation by disrupting supply chains and forcing researchers to work from home or in isolation at their workplace, resulting in dynamic adaptations in their approaches to generating or collecting data. Suddenly confronted with an inability to travel, many scientists looked to their local environment to leverage their skills to continue research closer to home. In light of these challenges, this &lt;i&gt;APPS&lt;/i&gt; special issue, titled “Resilient botany: Innovation in the face of limited mobility and resources,” showcases the creative ways that plant scientists carried on with research during a global pandemic. The papers in this issue encompass a variety of fields and scales of research, ranging from investigations of plant structure at the microscopic level to utilizing big data to understand biodiversity, but they all have one thing in common: they are all accessible to researchers and practitioners challenged by funding or travel restrictions.&lt;/p&gt;&lt;p&gt;It has been well documented that cataloging global biodiversity is a daunting task that will take a concerted effort by many scientists and community scientists, especially given that much of the world's biodiversity is located in areas with under-resourced research communities. A large amount of data is already contained in herbaria, and digitizing this information is an impor","PeriodicalId":8022,"journal":{"name":"Applications in Plant Sciences","volume":"12 2","pages":""},"PeriodicalIF":3.6,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aps3.11577","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140559577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geographic And Taxonomic Occurrence R-based Scrubbing (gatoRs): An R package and workflow for processing biodiversity data","authors":"Natalie N. Patten,&nbsp;Michelle L. Gaynor,&nbsp;Douglas E. Soltis,&nbsp;Pamela S. Soltis","doi":"10.1002/aps3.11575","DOIUrl":"10.1002/aps3.11575","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Premise</h3>\u0000 \u0000 <p>Digitized biodiversity data offer extensive information; however, obtaining and processing biodiversity data can be daunting. Complexities arise during data cleaning, such as identifying and removing problematic records. To address these issues, we created the R package Geographic And Taxonomic Occurrence R-based Scrubbing (gatoRs).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods and Results</h3>\u0000 \u0000 <p>The gatoRs workflow includes functions that streamline downloading records from the Global Biodiversity Information Facility (GBIF) and Integrated Digitized Biocollections (iDigBio). We also created functions to clean downloaded specimen records. Unlike previous R packages, gatoRs accounts for differences in download structure between GBIF and iDigBio and allows for user control via interactive cleaning steps.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Our pipeline enables the scientific community to process biodiversity data efficiently and is accessible to the R coding novice. We anticipate that gatoRs will be useful for both established and beginning users. Furthermore, we expect our package will facilitate the introduction of biodiversity-related concepts into the classroom via the use of herbarium specimens.</p>\u0000 </section>\u0000 </div>","PeriodicalId":8022,"journal":{"name":"Applications in Plant Sciences","volume":"12 2","pages":""},"PeriodicalIF":3.6,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aps3.11575","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140200249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sequencing vs. amplification for the estimation of allele dosages in sugarcane (Saccharum spp.)","authors":"Hugo Jaimes,&nbsp;Alejandra Londoño,&nbsp;Carolina Saavedra-Diaz,&nbsp;Jhon Henry Trujillo-Montenegro,&nbsp;Jershon López-Gerena,&nbsp;John J. Riascos,&nbsp;Fernando S. Aguilar","doi":"10.1002/aps3.11574","DOIUrl":"10.1002/aps3.11574","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Premise</h3>\u0000 \u0000 <p>Detecting single-nucleotide polymorphisms (SNPs) in a cost-effective way is fundamental in any plant breeding pipeline. Here, we compare three genotyping techniques for their ability to reproduce the allele dosage of SNPs of interest in sugarcane (<i>Saccharum</i> spp.).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>To identify a reproducible technique to estimate allele dosage for the validation of SNP markers, the correlation between Flex-Seq, kompetitive allele-specific PCR (KASP), and genotyping-by-sequencing and restriction site–associated DNA sequencing (GBS+RADseq) was determined for a set of 76 SNPs. To find alternative methodologies for allele dosage estimation, the KASP and Flex-Seq techniques were compared for the same set of SNPs. For the three techniques, a population of 53 genotypes from the diverse sugarcane panel of the Centro de Investigación de la Caña de Azúcar (Cenicaña), Colombia, was selected.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The average Pearson correlation coefficients between GBS+RADseq and Flex-Seq, GBS+RADseq and KASP, and Flex-Seq and KASP were 0.62 ± 0.27, 0.38 ± 0.27, and 0.38 ± 0.30, respectively.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Discussion</h3>\u0000 \u0000 <p>Flex-Seq reproduced the allele dosages determined using GBS+RADseq with good levels of precision because of its depth of sequencing and ability to target specific positions in the genome. Additionally, Flex-Seq outperformed KASP by allowing the conversion of a higher number of SNPs and a more accurate estimation of the allele dosage. Flex-Seq has therefore become the genotyping methodology of choice for marker validation at Cenicaña.</p>\u0000 </section>\u0000 </div>","PeriodicalId":8022,"journal":{"name":"Applications in Plant Sciences","volume":"12 5","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aps3.11574","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140148152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data-centric species distribution modeling: Impacts of modeler decisions in a case study of invasive European frog-bit","authors":"Sara E. Hansen,&nbsp;Michael J. Monfils,&nbsp;Rachel A. Hackett,&nbsp;Ryan T. Goebel,&nbsp;Anna K. Monfils","doi":"10.1002/aps3.11573","DOIUrl":"10.1002/aps3.11573","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Premise</h3>\u0000 \u0000 <p>Species distribution models (SDMs) are widely utilized to guide conservation decisions. The complexity of available data and SDM methodologies necessitates considerations of how data are chosen and processed for modeling to enhance model accuracy and support biological interpretations and ecological applications.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We built SDMs for the invasive aquatic plant European frog-bit using aggregated and field data that span multiple scales, data sources, and data types. We tested how model results were affected by five modeler decision points: the exclusion of (1) missing and (2) correlated data and the (3) scale (large-scale aggregated data or systematic field data), (4) source (specimens or observations), and (5) type (presence-background or presence-absence) of occurrence data.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Decisions about the exclusion of missing and correlated data, as well as the scale and type of occurrence data, significantly affected metrics of model performance. The source and type of occurrence data led to differences in the importance of specific explanatory variables as drivers of species distribution and predicted probability of suitable habitat.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Discussion</h3>\u0000 \u0000 <p>Our findings relative to European frog-bit illustrate how specific data selection and processing decisions can influence the outcomes and interpretation of SDMs. Data-centric protocols that incorporate data exploration into model building can help ensure models are reproducible and can be accurately interpreted in light of biological questions.</p>\u0000 </section>\u0000 </div>","PeriodicalId":8022,"journal":{"name":"Applications in Plant Sciences","volume":"12 3","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aps3.11573","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140126498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using disposable food packaging materials as printing, embedding, and sectioning media in the plant anatomy lab","authors":"Guillermo Angeles,&nbsp;Carolina Madero-Vega","doi":"10.1002/aps3.11570","DOIUrl":"10.1002/aps3.11570","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Premise</h3>\u0000 \u0000 <p>During the COVID-19 pandemic lockdown, all laboratory work was suspended, and we were obliged to work from home, causing delays in our research. As the disruption to supply chains made it difficult to obtain our regular lab supplies, we were obliged to search for substitutes. We became familiar with a plastic material known as biaxially oriented polypropylene (BOPP) that is widely used in the food industry for wrapping or storing fruits, vegetables, and meat. BOPP is easily dissolved in organic solvents such as xylenes, acetone, or thinner, but these reagents are very toxic, flammable, and can cause nausea in some users. After testing several alternatives, we found a polyurethane remover that proved to be an effective and relatively harmless BOPP solvent.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods and Results</h3>\u0000 \u0000 <p>By dissolving thin slices of BOPP in a polyurethane solvent, we obtained a clean fluid that we used to obtain leaf surface prints that could be mounted on microscope slides with a coverslip. This fluid produced excellent bark and wood sections and can be used to obtain wood or charcoal surface prints. Our attempts to use it as a mounting medium were unsuccessful.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>BOPP dissolved in a polyurethane remover is a handy, versatile resource for plant microtechniques. In addition to its economic advantages, it is useful in terms of reducing plastic pollution.</p>\u0000 </section>\u0000 </div>","PeriodicalId":8022,"journal":{"name":"Applications in Plant Sciences","volume":"12 2","pages":""},"PeriodicalIF":3.6,"publicationDate":"2024-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aps3.11570","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139981077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Use of electrolyte leakage to assess floral damage after freezing","authors":"Jessica A. Savage,&nbsp;Sydney J. Hudzinski,&nbsp;Mady R. Olson","doi":"10.1002/aps3.11569","DOIUrl":"10.1002/aps3.11569","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Premise</h3>\u0000 \u0000 <p>With growing interest in the impact of false springs on plant reproduction, there is the need to develop reliable, high-throughput methods for assessing floral freezing damage. Here we present a method for use with floral tissue that will facilitate more comparative work on floral freezing tolerance in the future.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods and Results</h3>\u0000 \u0000 <p>We examined the effectiveness of a modified electrolyte leakage protocol to assess floral freezing damage. By comparing data from temperature response curves to an estimate of visual tissue damage, we optimized the protocol for different floral types and improved the signal-to-noise ratio for floral data.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Our modified protocol provides a quick and straightforward method for quantifying floral freezing damage that can be standardized across floral types. This method allows for cross-species comparisons and can be a powerful tool for studying broad patterns in floral freezing tolerance.</p>\u0000 </section>\u0000 </div>","PeriodicalId":8022,"journal":{"name":"Applications in Plant Sciences","volume":"12 5","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aps3.11569","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139923334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Acknowledgment of Reviewers","authors":"","doi":"10.1002/aps3.11571","DOIUrl":"https://doi.org/10.1002/aps3.11571","url":null,"abstract":"&lt;p&gt;The editors gratefully acknowledge our reviewers, who have generously given their time and expertise to review manuscripts submitted to &lt;i&gt;Applications in Plant Sciences&lt;/i&gt;. The list includes those who reviewed manuscripts from December 31, 2022, to December 31, 2023. Thank you for helping &lt;i&gt;APPS&lt;/i&gt; maintain a prompt and fair peer-review process.&lt;/p&gt;&lt;p&gt;Adit, Arjun&lt;/p&gt;&lt;p&gt;Arora, Rajeev&lt;/p&gt;&lt;p&gt;Arstingstall, Katherine&lt;/p&gt;&lt;p&gt;Ávila-Lovera, Eleinis&lt;/p&gt;&lt;p&gt;Awana, Monika&lt;/p&gt;&lt;p&gt;Baker, Robert&lt;/p&gt;&lt;p&gt;Ball, Laymon&lt;/p&gt;&lt;p&gt;Barbier, Nicolas&lt;/p&gt;&lt;p&gt;Beck, James&lt;/p&gt;&lt;p&gt;Bellot, Sidonie&lt;/p&gt;&lt;p&gt;Bieker, Vanessa&lt;/p&gt;&lt;p&gt;Bilodeau-Gauthier, Simon&lt;/p&gt;&lt;p&gt;Bird, Kevin&lt;/p&gt;&lt;p&gt;Blanco-Sacristán, Javier&lt;/p&gt;&lt;p&gt;Bolte, Connie&lt;/p&gt;&lt;p&gt;Borokini, Israel&lt;/p&gt;&lt;p&gt;Borràs, Joshua&lt;/p&gt;&lt;p&gt;Boughton, Berin&lt;/p&gt;&lt;p&gt;Boyko, James&lt;/p&gt;&lt;p&gt;Brown, Herrick&lt;/p&gt;&lt;p&gt;Brown, Matilda&lt;/p&gt;&lt;p&gt;Brun, Guillaume&lt;/p&gt;&lt;p&gt;Bueno, C. Guillermo&lt;/p&gt;&lt;p&gt;Butler, Christopher&lt;/p&gt;&lt;p&gt;Calonje, Michael&lt;/p&gt;&lt;p&gt;Carrer, Marco&lt;/p&gt;&lt;p&gt;Cavender-Bares, Jeannine&lt;/p&gt;&lt;p&gt;Ceccantini, Gregorio&lt;/p&gt;&lt;p&gt;Chambers, Sally&lt;/p&gt;&lt;p&gt;Chiono, Alec&lt;/p&gt;&lt;p&gt;Chouhan, Siddharth&lt;/p&gt;&lt;p&gt;Cobo-Simón, Irene&lt;/p&gt;&lt;p&gt;Cornwell, Will&lt;/p&gt;&lt;p&gt;Culley, Theresa&lt;/p&gt;&lt;p&gt;Dale, Renee&lt;/p&gt;&lt;p&gt;D'Antonio, Michael&lt;/p&gt;&lt;p&gt;Darrouzet-Nardi, Anthony&lt;/p&gt;&lt;p&gt;del Valle, Jose Carlos&lt;/p&gt;&lt;p&gt;Dellinger, Agnes&lt;/p&gt;&lt;p&gt;DeSoto Suárez, Lucía&lt;/p&gt;&lt;p&gt;Dhyani, Anurag&lt;/p&gt;&lt;p&gt;Dikow, Rebecca&lt;/p&gt;&lt;p&gt;dos Santos, Renato&lt;/p&gt;&lt;p&gt;Doyle, Chantelle&lt;/p&gt;&lt;p&gt;Duitama, Jorge&lt;/p&gt;&lt;p&gt;Ellis, Christopher&lt;/p&gt;&lt;p&gt;Elmendorf, Sarah&lt;/p&gt;&lt;p&gt;Eserman, Lauren&lt;/p&gt;&lt;p&gt;Estep, Matt&lt;/p&gt;&lt;p&gt;Fisher, Kirsten&lt;/p&gt;&lt;p&gt;Folk, Ryan&lt;/p&gt;&lt;p&gt;Fonseca, Luiz Henrique M.&lt;/p&gt;&lt;p&gt;Frangedakis, Eftychios&lt;/p&gt;&lt;p&gt;Freeland, Joanna&lt;/p&gt;&lt;p&gt;Gallaher, Timothy&lt;/p&gt;&lt;p&gt;Gauslaa, Yngvar&lt;/p&gt;&lt;p&gt;Goëau, Hervé&lt;/p&gt;&lt;p&gt;Goke, Alex&lt;/p&gt;&lt;p&gt;Gonzalez-Ramirez, Ixchel&lt;/p&gt;&lt;p&gt;Griffith, M. Patrick&lt;/p&gt;&lt;p&gt;Griffiths, Marcus&lt;/p&gt;&lt;p&gt;Grote, Paul&lt;/p&gt;&lt;p&gt;Guillemette, Francois&lt;/p&gt;&lt;p&gt;Heineman, Katherine&lt;/p&gt;&lt;p&gt;Hipp, Andrew&lt;/p&gt;&lt;p&gt;Hodel, Richard&lt;/p&gt;&lt;p&gt;Holmlund, Helen&lt;/p&gt;&lt;p&gt;Hörandl, Elvira&lt;/p&gt;&lt;p&gt;Hu, Guanjing&lt;/p&gt;&lt;p&gt;Jakubska-Busse, Anna&lt;/p&gt;&lt;p&gt;Jeiter, Julius&lt;/p&gt;&lt;p&gt;Jia, Kai-Hua&lt;/p&gt;&lt;p&gt;Johnson, Joe&lt;/p&gt;&lt;p&gt;Johnson, Matthew&lt;/p&gt;&lt;p&gt;Jordon-Thaden, Ingrid&lt;/p&gt;&lt;p&gt;Karp, Peter D.&lt;/p&gt;&lt;p&gt;Knapp, Wesley&lt;/p&gt;&lt;p&gt;Kolter, Andreas&lt;/p&gt;&lt;p&gt;Kothari, Shan&lt;/p&gt;&lt;p&gt;Kumar, Uttam&lt;/p&gt;&lt;p&gt;Kuo, Li-Yaung&lt;/p&gt;&lt;p&gt;Kuzmina, Maria&lt;/p&gt;&lt;p&gt;LaFountain, Amy&lt;/p&gt;&lt;p&gt;Lagomarsino, Laura&lt;/p&gt;&lt;p&gt;Landis, Jacob&lt;/p&gt;&lt;p&gt;Landoni, Beatrice&lt;/p&gt;&lt;p&gt;Lange, Ines&lt;/p&gt;&lt;p&gt;Larridon, Isabel&lt;/p&gt;&lt;p&gt;Leandro, Thales&lt;/p&gt;&lt;p&gt;Lee, Aaron&lt;/p&gt;&lt;p&gt;Legland, David&lt;/p&gt;&lt;p&gt;Lehmann, Jan&lt;/p&gt;&lt;p&gt;Livermore, Laurence&lt;/p&gt;&lt;p&gt;Looy, Cindy&lt;/p&gt;&lt;p&gt;López-Caamal, Alfredo&lt;/p&gt;&lt;p&gt;Maddox, J. Dylan&lt;/p&gt;&lt;p&gt;Majure, Lucas&lt;/p&gt;&lt;p&gt;Malik, Afsheen&lt;/p&gt;&lt;p&gt;Mandel, Jennifer&lt;/p&gt;&lt;p&gt;Marchant, Blaine&lt;/p&gt;&lt;p&gt;Marcos, Diego&lt;/p&gt;&lt;p&gt;Mason, Chase&lt;/p&gt;&lt;p&gt;Mast, Austin&lt;/p&gt;&lt;p&gt;Mauri, Achille&lt;/p&gt;&lt;p&gt;McLay, Todd&lt;/p&gt;&lt;p&gt;Melton, Anthony&lt;/p&gt;&lt;p&gt;Meng, Yiming&lt;/p&gt;&lt;p&gt;Mincke, Jens&lt;/p&gt;&lt;p&gt;Mohn, Rebekah&lt;/p&gt;&lt;p&gt;Moreau, Erin&lt;/p&gt;&lt;p&gt;Morgan, Patrick&lt;/p&gt;&lt;p&gt;Moriani Siniscalchi, Carolina&lt;/p&gt;&lt;p&gt;Nakamura, Masayoshi&lt;/p&gt;&lt;p&gt;Naranjo, Andre&lt;/p&gt;&lt;p&gt;Noman, Muhammad&lt;/p&gt;&lt;p&gt;Odufuwa, Phebian&lt;/p&gt;&lt;p&gt;Onyenedum, Joyce&lt;/p&gt;&lt;p&gt;Oso, Olu","PeriodicalId":8022,"journal":{"name":"Applications in Plant Sciences","volume":"12 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2024-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aps3.11571","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139750153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}