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Using disposable food packaging materials as printing, embedding, and sectioning media in the plant anatomy lab 在植物解剖学实验室使用一次性食品包装材料作为打印、包埋和切片介质
IF 2.4 3区 生物学 Q2 PLANT SCIENCES Pub Date : 2024-02-25 DOI: 10.1002/aps3.11570
Guillermo Angeles, Carolina Madero-Vega

Premise

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.

Methods and Results

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.

Conclusions

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.

前提在 COVID-19 大流行封锁期间,所有实验室工作都暂停了,我们不得不在家工作,导致研究工作延误。由于供应链中断,我们难以获得常规实验室用品,不得不寻找替代品。我们开始熟悉一种被称为双向拉伸聚丙烯(BOPP)的塑料材料,这种材料在食品工业中被广泛用于包裹或储存水果、蔬菜和肉类。BOPP 很容易溶解在二甲苯、丙酮或稀释剂等有机溶剂中,但这些试剂有剧毒、易燃,而且会让一些使用者感到恶心。通过将 BOPP 薄片溶解在聚氨酯溶剂中,我们获得了一种清洁的液体,用来获得叶片表面印迹,并用盖玻片将其安装在显微镜载玻片上。这种液体能产生极佳的树皮和木材切片,可用于获得木材或木炭表面印迹。结论溶解在聚氨酯去除剂中的持久性有机污染物是植物显微技术中一种方便、多用途的资源。除了经济优势外,它还有助于减少塑料污染。
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引用次数: 0
Use of electrolyte leakage to assess floral damage after freezing 利用电解质渗漏评估花卉在冷冻后受到的损害
IF 2.4 3区 生物学 Q2 PLANT SCIENCES Pub Date : 2024-02-19 DOI: 10.1002/aps3.11569
Jessica A. Savage, Sydney J. Hudzinski, Mady R. Olson

Premise

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.

Methods and Results

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.

Conclusions

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.

随着人们对假泉对植物繁殖的影响越来越感兴趣,有必要开发可靠的高通量方法来评估花的冻害。在此,我们介绍一种用于花组织的方法,该方法将有助于今后开展更多有关花耐寒性的比较工作。
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引用次数: 0
Acknowledgment of Reviewers 感谢审稿人
IF 2.4 3区 生物学 Q2 PLANT SCIENCES Pub Date : 2024-02-17 DOI: 10.1002/aps3.11571

The editors gratefully acknowledge our reviewers, who have generously given their time and expertise to review manuscripts submitted to Applications in Plant Sciences. The list includes those who reviewed manuscripts from December 31, 2022, to December 31, 2023. Thank you for helping APPS maintain a prompt and fair peer-review process.

Adit, Arjun

Arora, Rajeev

Arstingstall, Katherine

Ávila-Lovera, Eleinis

Awana, Monika

Baker, Robert

Ball, Laymon

Barbier, Nicolas

Beck, James

Bellot, Sidonie

Bieker, Vanessa

Bilodeau-Gauthier, Simon

Bird, Kevin

Blanco-Sacristán, Javier

Bolte, Connie

Borokini, Israel

Borràs, Joshua

Boughton, Berin

Boyko, James

Brown, Herrick

Brown, Matilda

Brun, Guillaume

Bueno, C. Guillermo

Butler, Christopher

Calonje, Michael

Carrer, Marco

Cavender-Bares, Jeannine

Ceccantini, Gregorio

Chambers, Sally

Chiono, Alec

Chouhan, Siddharth

Cobo-Simón, Irene

Cornwell, Will

Culley, Theresa

Dale, Renee

D'Antonio, Michael

Darrouzet-Nardi, Anthony

del Valle, Jose Carlos

Dellinger, Agnes

DeSoto Suárez, Lucía

Dhyani, Anurag

Dikow, Rebecca

dos Santos, Renato

Doyle, Chantelle

Duitama, Jorge

Ellis, Christopher

Elmendorf, Sarah

Eserman, Lauren

Estep, Matt

Fisher, Kirsten

Folk, Ryan

Fonseca, Luiz Henrique M.

Frangedakis, Eftychios

Freeland, Joanna

Gallaher, Timothy

Gauslaa, Yngvar

Goëau, Hervé

Goke, Alex

Gonzalez-Ramirez, Ixchel

Griffith, M. Patrick

Griffiths, Marcus

Grote, Paul

Guillemette, Francois

Heineman, Katherine

Hipp, Andrew

Hodel, Richard

Holmlund, Helen

Hörandl, Elvira

Hu, Guanjing

Jakubska-Busse, Anna

Jeiter, Julius

Jia, Kai-Hua

Johnson, Joe

Johnson, Matthew

Jordon-Thaden, Ingrid

Karp, Peter D.

Knapp, Wesley

Kolter, Andreas

Kothari, Shan

Kumar, Uttam

Kuo, Li-Yaung

Kuzmina, Maria

LaFountain, Amy

Lagomarsino, Laura

Landis, Jacob

Landoni, Beatrice

Lange, Ines

Larridon, Isabel

Leandro, Thales

Lee, Aaron

Legland, David

Lehmann, Jan

Livermore, Laurence

Looy, Cindy

López-Caamal, Alfredo

Maddox, J. Dylan

Majure, Lucas

Malik, Afsheen

Mandel, Jennifer

Marchant, Blaine

Marcos, Diego

Mason, Chase

Mast, Austin

Mauri, Achille

McLay, Todd

Melton, Anthony

Meng, Yiming

Mincke, Jens

Mohn, Rebekah

Moreau, Erin

Morgan, Patrick

Moriani Siniscalchi, Carolina

Nakamura, Masayoshi

Naranjo, Andre

Noman, Muhammad

Odufuwa, Phebian

Onyenedum, Joyce

Oso, Olu

编辑衷心感谢我们的审稿人,他们为《植物科学应用》的审稿工作慷慨地奉献了自己的时间和专业知识。这份名单包括 2022 年 12 月 31 日至 2023 年 12 月 31 日期间的审稿人。感谢您帮助《植物科学应用》保持及时公正的同行评审程序。Adit, ArjunArora, RajeevArstingstall, KatherineÁvila-Lovera, EleinisAwana, MonikaBaker, RobertBall, LaymonBarbier, NicolasBeck, JamesBellot, SidonieBieker, VanessaBilodeau-Gauthier、SimonBird, KevinBlanco-Sacristán, JavierBolte, ConnieBorokini, IsraelBorràs, JoshuaBoughton, BerinBoyko, JamesBrown, HerrickBrown, MatildaBrun, GuillaumeBueno, C.GuillermoButler,ChristopherCalonje,MichaelCarrer,MarcoCavender-Bares,JeannineCeccantini,GregorioChambers,SallyChiono,AlecChouhan,SiddharthCobo-Simón,IreneCornwell,WillCulley,TheresaDale,ReneeD'Antonio,MichaelDarrouzet-Nardi、AnthonydelValle、JoseCarlosDellinger、AgnesDeSotoSuárez、LucíaDhyani、AnuragDikow、RebeccadosSantos、RenatoDoyle、ChantelleDuitama、JorgeEllis、ChristopherElmendorf、SarahEserman、LaurenEstep、MattFisher、KirstenFolk、RyanFonseca、LuizHenriqueM.Frangedakis, EftychiosFreeland, JoannaGallaher, TimothyGauslaa, YngvarGoëau, HervéGoke, AlexGonzalez-Ramirez, IxchelGriffith, M. PatrickGriffiths, Marc.PatrickGriffiths,MarcusGrote,PaulGuillemette,FrancoisHeineman,KatherineHipp,AndrewHodel,RichardHolmlund,HelenHörandl,ElviraHu,GuanjingJakubska-Busse,AnnaJeiter,JuliusJia,Kai-HuaJohnson,JoeJohnson,MatthewJordon-Thaden,IngridKarp,PeterD.Knapp、WesleyKolter、AndreasKothari、ShanKumar、UttamKuo、Li-YaungKuzmina、MariaLaFountain、AmyLagomarsino、LauraLandis、JacobLandoni、BeatriceLange、InesLarridon、IsabelLeandro、ThalesLee、AaronLegland、DavidLehmann、JanLivermore、LaurenceLooy、CindyLópez-Caamal、AlfredoMaddox、J.DylanMajure, LucasMalik, AfsheenMandel, JenniferMarchant, BlaineMarcos, DiegoMason, ChaseMast, AustinMauri, AchilleMcLay, ToddMelton, AnthonyMeng, YimingMincke, JensMohn, RebekahMoreau, ErinMorgan、PatrickMorianiSiniscalchi,CarolinaNakamura,MasayoshiNaranjo,AndreNoman,MuhammadOdufuwa,PhebianOnyenedum,JoyceOso,OluwatobiPagter,MajkenPalma da Silva,ClarisseParedes Burneo,Diego F.Parry, PaigePaschoal, AlexandrePelosi, JessiePence, ValeriePérez López, ArelyPokorny, LisaPrendin, Angela LuisaPriya, PiyushPrzelomska, NataliaPuig, AlinaPuppo, PamelaRaju、DhandapaniRandall,ZacharyRay,DustinRevolinski,SamuelRey,ElodieRios,NelsonSaggiomo,VittorioSánchez-Tapia,AndreaSandoval-Zapotitla,EstelaSantos,Wagner Luiz dosSaroja,Seethapathy G.Scheben、ArminSchneider、DavidSeglias、AlexandraSession、AdamShah、ToralSoltis、PamelaSpagnuolo、EdwardSteinecke、ChristinaSuissa、JacobSutherland、BrittanySvolacchia、NoemiTakano、AtsukoTalavera、AliciaTeisher、JordanTietje、MelanieVandenAbeele、SamuelVinatzer、BorisVincent、MichaelA.弗尔切克、雅各布-瓦格纳-克雷默、弗里德里克-沃尔什、西娜-瓦茨、雅各布-韦弗、威廉-魏、纳-威克尔、戴维-维登霍夫特、亚历克斯-沃尔科特、凯瑟琳-沃尔奇斯、达斯汀-乌尔达克、肯尼斯-亚达夫、阿尔皮塔-杨、西平-杨、于国-赵俊杰-赵森、解
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引用次数: 0
Orchid fruit and root movement analyzed using 2D photographs and a bioinformatics pipeline for processing sequential 3D scans 利用二维照片和处理连续三维扫描的生物信息学管道分析兰花果实和根系的移动情况
IF 2.4 3区 生物学 Q2 PLANT SCIENCES Pub Date : 2024-02-09 DOI: 10.1002/aps3.11567
Dewi Pramanik, Lotta Vaskimo, K. Joost Batenburg, Alexander Kostenko, Kevin Droppert, Erik Smets, Barbara Gravendeel

Premise

Most studies of the movement of orchid fruits and roots during plant development have focused on morphological observations; however, further genetic analysis is required to understand the molecular mechanisms underlying this phenomenon. A precise tool is required to observe these movements and harvest tissue at the correct position and time for transcriptomics research.

Methods

We utilized three-dimensional (3D) micro–computed tomography (CT) scans to capture the movement of fast-growing Erycina pusilla roots, and built an integrated bioinformatics pipeline to process 3D images into 3D time-lapse videos. To record the movement of slowly developing E. pusilla and Phalaenopsis equestris fruits, two-dimensional (2D) photographs were used.

Results

The E. pusilla roots twisted and resupinated multiple times from early development. The first period occurred in the early developmental stage (77–84 days after germination [DAG]) and the subsequent period occurred later in development (140–154 DAG). While E. pusilla fruits twisted 45° from 56–63 days after pollination (DAP), the fruits of P. equestris only began to resupinate a week before dehiscence (133 DAP) and ended a week after dehiscence (161 DAP).

Discussion

Our methods revealed that each orchid root and fruit had an independent direction and degree of torsion from the initial to the final position. Our innovative approaches produced detailed spatial and temporal information on the resupination of roots and fruits during orchid development.

前言 对植物发育过程中兰花果实和根系移动的大多数研究都集中在形态学观察上;然而,要了解这一现象背后的分子机制,还需要进一步的遗传分析。需要一种精确的工具来观察这些运动,并在正确的位置和时间收获组织,以便进行转录组学研究。 方法 我们利用三维(3D)微型计算机断层扫描(CT)来捕捉快速生长的 Erycina pusilla 根的运动,并建立了一个集成生物信息学管道,将三维图像处理成三维延时视频。为了记录生长缓慢的 E. pusilla 和 Phalaenopsis equestris 果实的运动,使用了二维(2D)照片。 结果 E. pusilla 的根系在发育早期就多次扭曲和复位。第一次发生在发育初期(发芽后 77-84 天),第二次发生在发育后期(发芽后 140-154 天)。E. pusilla 的果实在授粉后 56-63 天(DAP)扭转 45°,而 P. equestris 的果实在开裂前一周(133 DAP)才开始复壮,并在开裂后一周(161 DAP)结束。 讨论 我们的方法揭示了每种兰花根和果从初始位置到最终位置都有独立的扭转方向和扭转程度。我们的创新方法提供了兰花发育过程中根和果实复壮的详细空间和时间信息。
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引用次数: 0
CuticleTrace: A toolkit for capturing cell outlines from leaf cuticle with implications for paleoecology and paleoclimatology CuticleTrace:捕捉叶片角质层细胞轮廓的工具包,对古生态学和古气候学具有重要意义
IF 2.4 3区 生物学 Q2 PLANT SCIENCES Pub Date : 2024-02-02 DOI: 10.1002/aps3.11566
Benjamin A. Lloyd, Richard S. Barclay, Regan E. Dunn, Ellen D. Currano, Ayuni I. Mohamaad, Kymbre Skersies, Surangi W. Punyasena

Premise

Leaf epidermal cell morphology is closely tied to the evolutionary history of plants and their growth environments and is therefore of interest to many plant biologists. However, cell measurement can be time consuming and restrictive with current methods. CuticleTrace is a suite of Fiji and R-based functions that streamlines and automates the segmentation and measurement of epidermal pavement cells across a wide range of cell morphologies and image qualities.

Methods and Results

We evaluated CuticleTrace-generated measurements against those from alternate automated methods and expert and undergraduate hand tracings across a taxonomically diverse 50-image data set of variable image qualities. We observed ~93% statistical agreement between CuticleTrace and expert hand-traced measurements, outperforming alternate methods.

Conclusions

CuticleTrace is a broadly applicable, modular, and customizable tool that integrates data visualization and cell shape measurement with image segmentation, lowering the barrier to high-throughput studies of epidermal morphology by vastly decreasing the labor investment required to generate high-quality cell shape data sets.

前言 叶表皮细胞形态与植物的进化史及其生长环境密切相关,因此受到许多植物生物学家的关注。然而,目前的细胞测量方法既耗时又有局限性。CuticleTrace 是一套基于 Fiji 和 R 的函数,可简化和自动化表皮铺层细胞的分割和测量,适用于多种细胞形态和图像质量。 方法与结果 我们评估了 CuticleTrace 生成的测量结果与其他自动方法以及专家和本科生手工描记的测量结果之间的差异。我们观察到,CuticleTrace 和专家手描测量结果的统计一致性高达约 93%,优于其他方法。 结论 CuticleTrace 是一种广泛适用、模块化和可定制的工具,它将数据可视化和细胞形状测量与图像分割整合在一起,通过大大减少生成高质量细胞形状数据集所需的人力投入,降低了表皮形态学高通量研究的门槛。
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引用次数: 0
Simulating pollen flow and field sampling constraints helps revise seed sampling recommendations for conserving genetic diversity 模拟花粉流和田间采样限制有助于修订种子采样建议,保护遗传多样性
IF 2.4 3区 生物学 Q2 PLANT SCIENCES Pub Date : 2024-02-02 DOI: 10.1002/aps3.11561
Kaylee J. Rosenberger, Sean Hoban

Premise

In this study, we use simulations to determine how pollen flow and sampling constraints can influence the genetic conservation found in seed collections.

Methods

We simulated genotypes of parental individuals and crossed the parentals based on three different ranges of pollen flow (panmictic, limited, and highly limited) to create new seed sets for sampling. We tested a variety of sampling scenarios modeled on those occurring in nature and calculated the proportion of alleles conserved in each scenario.

Results

We found that pollen flow greatly influences collection outcomes, with panmictic pollen flow resulting in seed sets containing 21.6% more alleles than limited pollen flow and 48.6% more alleles than highly limited pollen flow, although this impact diminishes when large numbers of maternal plants are sampled. Simulations of realistic seed sampling (sampling more seed from some plants and fewer from others) showed a relatively minor impact (<2.5%) on genetic diversity conserved compared to ideal sampling (uniform sampling across all maternal plants).

Discussion

We conclude that future work must consider limited pollen flow, but collectors can be flexible with their sampling in the field as long as many unique maternal plants are sampled. Simulations remain a fruitful method to advance ex situ sampling guidelines.

在这项研究中,我们通过模拟来确定花粉流动和取样限制如何影响种子采集中的遗传保护。
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引用次数: 0
Thallus hydrophobicity: A low-cost method for understanding lichen ecophysiological responses to environmental changes 苔藓疏水性:了解地衣对环境变化的生态生理反应的低成本方法
IF 2.4 3区 生物学 Q2 PLANT SCIENCES Pub Date : 2024-01-28 DOI: 10.1002/aps3.11565
Natália Mossmann Koch, Raúl Díaz Dominguez, Ana Fávaro, Daniel Stanton

Premise

Methods to evaluate lichen thalli hydrophobicity have previously been described, but only recently has hydrophobicity been shown to be an important functional trait related to water regulation dynamics that could be used to predict future climate change effects. We describe a novel protocol to measure lichen thallus hydrophobicity that aims to be an easier and more affordable approach.

Methods and Results

Our protocol requires only a micropipette, distilled water, a tripod, and a smartphone or camera. Hydrophobicity is inferred from multiple metrics associated with the absorption times of standardized droplets (initial and total absorption time). We used a data set of 93 lichen taxa with different growth forms and from different biomes and demonstrated that this method is well suited for capturing different levels of hydrophobicity, including very hydrophilic species.

Conclusions

Our results show that this new protocol to measure lichen hydrophobicity is a rapid and low-cost method to assess an ecophysiologically based functional trait that can be used with almost no limitations, including in different climates, lichen species, and growth forms.

以前曾描述过评估地衣苔藓疏水性的方法,但直到最近才证明疏水性是与水调节动力学有关的重要功能特征,可用于预测未来气候变化的影响。我们介绍了一种测量地衣苔藓疏水性的新方案,旨在使其成为一种更简单、更经济的方法。
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引用次数: 0
Compositae-ParaLoss-1272: A complementary sunflower-specific probe set reduces paralogs in phylogenomic analyses of complex systems Compositae-ParaLoss-1272:向日葵特异性互补探针集可在复杂系统的系统发生组分析中减少旁系亲属的数量
IF 2.4 3区 生物学 Q2 PLANT SCIENCES Pub Date : 2024-01-27 DOI: 10.1002/aps3.11568
Erika R. Moore-Pollard, Daniel S. Jones, Jennifer R. Mandel

Premise

A family-specific probe set for sunflowers, Compositae-1061, enables family-wide phylogenomic studies and investigations at lower taxonomic levels, but may lack resolution at genus to species levels, especially in groups complicated by polyploidy and hybridization.

Methods

We developed a Hyb-Seq probe set, Compositae-ParaLoss-1272, that targets orthologous loci in Asteraceae. We tested its efficiency across the family by simulating target enrichment sequencing in silico. Additionally, we tested its effectiveness at lower taxonomic levels in the historically complex genus Packera. We performed Hyb-Seq with Compositae-ParaLoss-1272 for 19 Packera taxa that were previously studied using Compositae-1061. The resulting sequences from each probe set, plus a combination of both, were used to generate phylogenies, compare topologies, and assess node support.

Results

We report that Compositae-ParaLoss-1272 captured loci across all tested Asteraceae members, had less gene tree discordance, and retained longer loci than Compositae-1061. Most notably, Compositae-ParaLoss-1272 recovered substantially fewer paralogous sequences than Compositae-1061, with only ~5% of the recovered loci reporting as paralogous, compared to ~59% with Compositae-1061.

Discussion

Given the complexity of plant evolutionary histories, assigning orthology for phylogenomic analyses will continue to be challenging. However, we anticipate Compositae-ParaLoss-1272 will provide improved resolution and utility for studies of complex groups and lower taxonomic levels in the sunflower family.

向日葵的科特异性探针集 Compositae-1061 可以进行全科的系统发生组学研究和较低分类水平的调查,但在属到种的水平上可能缺乏分辨率,特别是在因多倍体和杂交而变得复杂的群体中。
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引用次数: 0
An updated and extended version of the Melastomataceae probe set for target capture 用于目标捕获的最新扩展版 Melastomataceae 探针集
IF 2.4 3区 生物学 Q2 PLANT SCIENCES Pub Date : 2024-01-18 DOI: 10.1002/aps3.11564
Léo-Paul M. J. Dagallier, Fabián A. Michelangeli

Premise

A probe set was previously designed to target 384 nuclear loci in the Melastomataceae family; however, when trying to use it, we encountered several practical and conceptual problems, such as the presence of sequences in reverse complement, intronic regions with stop codons, and other issues. This raised concerns regarding the use of this probe set for sequence recovery in Melastomataceae.

Methods

In order to correct these issues, we cleaned the Melastomataceae probe set, extended it with additional sequences, and compared its performance with the original version.

Results

The final probe set targets 396 putative nuclear loci represented by 6009 template sequences. The probe set has been made available, along with details on the cleaning process, for reproducibility. We show that the new probe set performs better than the original version in terms of sequence recovery.

Discussion

This updated, extended, and cleaned probe set will improve the availability of phylogenomic resources across the Melastomataceae family. It is fully compatible with sequence recovery and extraction pipelines. The cleaning process can also be applied to any plant-targeting probe set that would need to be cleaned or updated if new genomic resources for the targeted taxa become available.

此前,我们设计了一套探针,以 Melastomataceae 家族中的 384 个核基因位点为目标;然而,在尝试使用这套探针时,我们遇到了一些实际和概念上的问题,例如存在反向互补的序列、带有终止密码子的内含子区以及其他问题。这引起了我们对使用该探针组在 Melastomataceae 中进行序列恢复的担忧。
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引用次数: 0
FloraTraiter: Automated parsing of traits from descriptive biodiversity literature FloraTraiter:从描述性生物多样性文献中自动解析特征
IF 2.4 3区 生物学 Q2 PLANT SCIENCES Pub Date : 2024-01-18 DOI: 10.1002/aps3.11563
Ryan A. Folk, Robert P. Guralnick, Raphael T. LaFrance

Premise

Plant trait data are essential for quantifying biodiversity and function across Earth, but these data are challenging to acquire for large studies. Diverse strategies are needed, including the liberation of heritage data locked within specialist literature such as floras and taxonomic monographs. Here we report FloraTraiter, a novel approach using rule-based natural language processing (NLP) to parse computable trait data from biodiversity literature.

Methods

FloraTraiter was implemented through collaborative work between programmers and botanical experts and customized for both online floras and scanned literature. We report a strategy spanning optical character recognition, recognition of taxa, iterative building of traits, and establishing linkages among all of these, as well as curational tools and code for turning these results into standard morphological matrices.

Results

Over 95% of treatment content was successfully parsed for traits with <1% error. Data for more than 700 taxa are reported, including a demonstration of common downstream uses.

Conclusions

We identify strategies, applications, tips, and challenges that we hope will facilitate future similar efforts to produce large open-source trait data sets for broad community reuse. Largely automated tools like FloraTraiter will be an important addition to the toolkit for assembling trait data at scale.

植物性状数据对于量化整个地球的生物多样性和功能至关重要,但这些数据的获取对于大型研究而言却极具挑战性。我们需要采取多种策略,包括释放锁定在专业文献(如植物学和分类学专著)中的遗产数据。我们在此报告 FloraTraiter,这是一种使用基于规则的自然语言处理(NLP)来解析生物多样性文献中可计算性状数据的新方法。
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Applications in Plant Sciences
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