Domesticated cotton species provide raw material for the majority of the world's textile industry. Two independent domestication events have been identified in allopolyploid cotton, one in Upland cotton (Gossypium hirsutum L.) and the other to Egyptian cotton (Gossypium barbadense L.). However, two diploid cotton species, Gossypium arboreum L. and Gossypium herbaceum L., have been cultivated for several millennia, but their status as independent domesticates has long been in question. Using genome resequencing data, we estimated the global abundance of various repetitive DNAs. We demonstrate that, despite negligible divergence in genome size, the two domesticated diploid cotton species contain different, but compensatory, repeat content and have thus experienced cryptic alterations in repeat abundance despite equivalence in genome size. Evidence of independent origin is bolstered by estimates of divergence times based on molecular evolutionary analysis of f7,000 orthologous genes, for which synonymous substitution rates suggest that G. arboreum and G. herbaceum last shared a common ancestor approximately 0.4-2.5 Ma. These data are incompatible with a shared domestication history during the emergence of agriculture and lead to the conclusion that G. arboreum and G. herbaceum were each domesticated independently.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4943200PMC
http://dx.doi.org/10.1093/gbe/evw129DOI Listing

Publication Analysis

Top Keywords

cotton species
16
independent domestication
8
cotton gossypium
8
diploid cotton
8
genome size
8
arboreum herbaceum
8
cotton
7
independent
4
domestication cotton
4
species
4

Similar Publications

Pangenomics Links Boll Weevil Divergence With Ancient Mesoamerican Cotton Cultivation.

Mol Ecol Resour

January 2025

USDA, Agricultural Research Service, Southern Plains Agricultural Research Center, Insect Control and Cotton Disease Research Unit, College Station, Texas, USA.

The boll weevil, Anthonomus grandis grandis Boheman, and thurberia weevil, Anthonomus grandis thurberiae Pierce, together comprise a species complex that ranges throughout Mexico, the southwestern regions of the United States and parts of South America. The boll weevil is a historically damaging and contemporaneously threatening pest to commercial upland cotton, Gossypium hirsutum L. (Malvales: Malvaceae), whereas the thurberia weevil is regarded as an innocuous non-pest subspecies that is mostly found on non-cultivated Thurber's or Arizona cotton, Gossypium thurberi L.

View Article and Find Full Text PDF

Background: Magnesium (Mg) is essential for plant growth and development and plays critical roles in physiological and biochemical processes. Mg deficiency adversely affects growth of plants by limiting shoot and root development, disturbing the structure and membranes of the grana, reducing photosynthesis efficiency, and lowering net CO assimilation. The MGT (Magnesium transporter) family is responsible for the absorption and transportation of magnesium in plants.

View Article and Find Full Text PDF

Background And Aim: In the context of gastrointestinal diseases, the role of monoacylglycerol lipase (MAGL) is significant. Therefore, the objective of this study was to examine the protective effects of MAGL inhibition using JZL184 in rat models of severe acute pancreatitis (SAP) and to explore its mechanism.

Methods: In this study, a rat model of SAP was established, and the rats were divided into three groups for treatment: the Control group (CON), the SAP group (SAP), and the SAP group treated with JZL184 (JZL184).

View Article and Find Full Text PDF

Background: The cotton-melon aphid, Aphis gossypii Glover, is a polyphagous pest damaging plants across over 100 families. It has multiple host-specialized lineages, including one colonizing Malvaceae (MA) and one colonizing Cucurbitaceae (CU). The mechanisms underlying these host relationships remain unknown.

View Article and Find Full Text PDF

Background: The cotton jassid, Amrasca biguttula, a dangerous and polyphagous pest, has recently invaded the Middle East, Africa and South America, raising concerns about the future of cotton and other food crops including okra, eggplant and potato. However, its potential distribution remains largely unknown, posing a challenge in developing effective phytosanitary strategies. We used an ensemble model of six machine-learning algorithms including random forest, maxent, support vector machines, classification and regression tree, generalized linear model and boosted regression trees to forecast the potential distribution of A.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!