Genome-Wide Diversity in Lowland and Highland Maize Landraces From Southern South America: Population Genetics Insights to Assist Conservation

IF 3.5 2区 生物学 Q1 EVOLUTIONARY BIOLOGY
Pia Guadalupe Dominguez, Angela Veronica Gutierrez, Monica Irina Fass, Carla Valeria Filippi, Pablo Vera, Andrea Puebla, Raquel Alicia Defacio, Norma Beatriz Paniego, Veronica Viviana Lia
{"title":"Genome-Wide Diversity in Lowland and Highland Maize Landraces From Southern South America: Population Genetics Insights to Assist Conservation","authors":"Pia Guadalupe Dominguez,&nbsp;Angela Veronica Gutierrez,&nbsp;Monica Irina Fass,&nbsp;Carla Valeria Filippi,&nbsp;Pablo Vera,&nbsp;Andrea Puebla,&nbsp;Raquel Alicia Defacio,&nbsp;Norma Beatriz Paniego,&nbsp;Veronica Viviana Lia","doi":"10.1111/eva.70047","DOIUrl":null,"url":null,"abstract":"<p>Maize (<i>Zea mays</i> ssp. <i>mays</i> L.) landraces are traditional American crops with high genetic variability that conform a source of original alleles for conventional maize breeding. Northern Argentina, one the southernmost regions of traditional maize cultivation in the Americas, harbours around 57 races traditionally grown in two regions with contrasting environmental conditions, namely, the Andean mountains in the Northwest and the tropical grasslands and Atlantic Forest in the Northeast. These races encounter diverse threats to their genetic diversity and persistence in their regions of origin, with climate change standing out as one of the major challenges. In this work, we use genome-wide SNPs derived from ddRADseq to study the genetic diversity of individuals representing the five groups previously described for this area. This allowed us to distinguish two clearly differentiated gene pools, the highland northwestern maize (HNWA) and the floury northeastern maize (FNEA). Subsequently, we employed essential biodiversity variables at the genetic level, as proposed by the Group on Earth Observations Biodiversity Observation Network (GEO BON), to evaluate the conservation status of these two groups. This assessment encompassed genetic diversity (Pi), inbreeding coefficient (F) and effective population size (Ne). FNEA showed low Ne values and high F values, while HNWA showed low Ne values and low Pi values, indicating that further genetic erosion is imminent for these landraces. Outlier detection methods allowed identification of putative adaptive genomic regions, consistent with previously reported flowering-time loci and chromosomal regions displaying introgression from the teosinte <i>Zea mays</i> ssp. <i>mexicana</i>. Finally, species distribution models were obtained for two future climate scenarios, showing a notable reduction in the potential planting area of HNWA and a shift in the cultivation areas of FNEA. These results suggest that maize landraces from Northern Argentina may be unable to cope with climate change. Therefore, active conservation policies are advisable.</p>","PeriodicalId":168,"journal":{"name":"Evolutionary Applications","volume":"17 12","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/eva.70047","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Evolutionary Applications","FirstCategoryId":"99","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/eva.70047","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EVOLUTIONARY BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Maize (Zea mays ssp. mays L.) landraces are traditional American crops with high genetic variability that conform a source of original alleles for conventional maize breeding. Northern Argentina, one the southernmost regions of traditional maize cultivation in the Americas, harbours around 57 races traditionally grown in two regions with contrasting environmental conditions, namely, the Andean mountains in the Northwest and the tropical grasslands and Atlantic Forest in the Northeast. These races encounter diverse threats to their genetic diversity and persistence in their regions of origin, with climate change standing out as one of the major challenges. In this work, we use genome-wide SNPs derived from ddRADseq to study the genetic diversity of individuals representing the five groups previously described for this area. This allowed us to distinguish two clearly differentiated gene pools, the highland northwestern maize (HNWA) and the floury northeastern maize (FNEA). Subsequently, we employed essential biodiversity variables at the genetic level, as proposed by the Group on Earth Observations Biodiversity Observation Network (GEO BON), to evaluate the conservation status of these two groups. This assessment encompassed genetic diversity (Pi), inbreeding coefficient (F) and effective population size (Ne). FNEA showed low Ne values and high F values, while HNWA showed low Ne values and low Pi values, indicating that further genetic erosion is imminent for these landraces. Outlier detection methods allowed identification of putative adaptive genomic regions, consistent with previously reported flowering-time loci and chromosomal regions displaying introgression from the teosinte Zea mays ssp. mexicana. Finally, species distribution models were obtained for two future climate scenarios, showing a notable reduction in the potential planting area of HNWA and a shift in the cultivation areas of FNEA. These results suggest that maize landraces from Northern Argentina may be unable to cope with climate change. Therefore, active conservation policies are advisable.

Abstract Image

南美洲南部低地和高地玉米地方品种的全基因组多样性:群体遗传学见解有助于保护
玉米(玉米是甜的)。地方品种是具有高遗传变异性的传统美国作物,符合传统玉米育种的原始等位基因来源。阿根廷北部是美洲最南端的传统玉米种植地区之一,拥有大约57个品种,传统上生长在两个环境条件截然不同的地区,即西北部的安第斯山脉和东北部的热带草原和大西洋森林。这些种族在其原籍地区的遗传多样性和持久性面临各种威胁,气候变化是其中一个突出的主要挑战。在这项工作中,我们使用来自ddRADseq的全基因组snp来研究代表该领域先前描述的五个群体的个体的遗传多样性。这使我们能够区分两个明显分化的基因库,高原西北玉米(HNWA)和面粉东北玉米(FNEA)。随后,我们采用地球观测组织生物多样性观测网(GEO BON)提出的遗传水平的生物多样性基本变量对这两个类群的保护状况进行了评价。评价指标包括遗传多样性(Pi)、近交系数(F)和有效群体大小(Ne)。FNEA表现为低Ne值和高F值,而HNWA表现为低Ne值和低Pi值,表明这些地方民族的进一步遗传侵蚀即将到来。异常值检测方法可以鉴定出假定的适应性基因组区域,与先前报道的大刍草(Zea mays ssp)开花时间位点和显示渗入的染色体区域一致。墨西哥。最后,建立了两种气候情景下的物种分布模型,结果表明高海拔地区的潜在种植面积将显著减少,而低海拔地区的种植面积将发生变化。这些结果表明,来自阿根廷北部的玉米地方品种可能无法应对气候变化。因此,积极的保护政策是可取的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Evolutionary Applications
Evolutionary Applications 生物-进化生物学
CiteScore
8.50
自引率
7.30%
发文量
175
审稿时长
6 months
期刊介绍: Evolutionary Applications is a fully peer reviewed open access journal. It publishes papers that utilize concepts from evolutionary biology to address biological questions of health, social and economic relevance. Papers are expected to employ evolutionary concepts or methods to make contributions to areas such as (but not limited to): medicine, agriculture, forestry, exploitation and management (fisheries and wildlife), aquaculture, conservation biology, environmental sciences (including climate change and invasion biology), microbiology, and toxicology. All taxonomic groups are covered from microbes, fungi, plants and animals. In order to better serve the community, we also now strongly encourage submissions of papers making use of modern molecular and genetic methods (population and functional genomics, transcriptomics, proteomics, epigenetics, quantitative genetics, association and linkage mapping) to address important questions in any of these disciplines and in an applied evolutionary framework. Theoretical, empirical, synthesis or perspective papers are welcome.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信