1
|
Ochieng WA, Wei L, Wagutu GK, Xian L, Muthui SW, Ogada S, Otieno DO, Linda EL, Liu F. Transcriptome Analysis of Macrophytes' Myriophyllum spicatum Response to Ammonium Nitrogen Stress Using the Whole Plant Individual. Plants (Basel) 2023; 12:3875. [PMID: 38005772 PMCID: PMC10675724 DOI: 10.3390/plants12223875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 11/11/2023] [Accepted: 11/13/2023] [Indexed: 11/26/2023]
Abstract
Ammonium toxicity in macrophytes reduces growth and development due to a disrupted metabolism and high carbon requirements for internal ammonium detoxification. To provide more molecular support for ammonium detoxification in the above-ground and below-ground parts of Myriophyllum spicatum, we separated (using hermetic bags) the aqueous medium surrounding the below-ground from that surrounding the above-ground and explored the genes in these two regions. The results showed an upregulation of asparagine synthetase genes under high ammonium concentrations. Furthermore, the transcriptional down and/or upregulation of other genes involved in nitrogen metabolism, including glutamate dehydrogenase, ammonium transporter, and aspartate aminotransferase in above-ground and below-ground parts were crucial for ammonium homeostasis under high ammonium concentrations. The results suggest that, apart from the primary pathway and alternative pathway, the asparagine metabolic pathway plays a crucial role in ammonium detoxification in macrophytes. Therefore, the complex genetic regulatory network in M. spicatum contributes to its ammonium tolerance, and the above-ground part is the most important in ammonium detoxification. Nevertheless, there is a need to incorporate an open-field experimental setup for a conclusive picture of nitrogen dynamics, toxicity, and the molecular response of M. spicatum in the natural environment.
Collapse
Affiliation(s)
- Wyckliffe Ayoma Ochieng
- Core Botanical Gardens/Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China; (W.A.O.); (G.K.W.); (L.X.); (S.W.M.); (D.O.O.)
- Sino-Africa Joint Research Centre, Chinese Academy of Sciences, Wuhan 430074, China
- University of the Chinese Academy of Sciences, Beijing 101408, China
| | - Li Wei
- Changjiang Water Resources and Hydropower Development Group (Hubei) Co., Ltd., Wuhan 430010, China;
| | - Godfrey Kinyori Wagutu
- Core Botanical Gardens/Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China; (W.A.O.); (G.K.W.); (L.X.); (S.W.M.); (D.O.O.)
- Sino-Africa Joint Research Centre, Chinese Academy of Sciences, Wuhan 430074, China
- University of the Chinese Academy of Sciences, Beijing 101408, China
| | - Ling Xian
- Core Botanical Gardens/Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China; (W.A.O.); (G.K.W.); (L.X.); (S.W.M.); (D.O.O.)
| | - Samuel Wamburu Muthui
- Core Botanical Gardens/Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China; (W.A.O.); (G.K.W.); (L.X.); (S.W.M.); (D.O.O.)
- Sino-Africa Joint Research Centre, Chinese Academy of Sciences, Wuhan 430074, China
- University of the Chinese Academy of Sciences, Beijing 101408, China
| | - Stephen Ogada
- Institute for Biotechnology Research, Jomo Kenyatta University of Agriculture and Technology, Nairobi 00200, Kenya;
| | - Duncan Ochieng Otieno
- Core Botanical Gardens/Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China; (W.A.O.); (G.K.W.); (L.X.); (S.W.M.); (D.O.O.)
- Sino-Africa Joint Research Centre, Chinese Academy of Sciences, Wuhan 430074, China
- University of the Chinese Academy of Sciences, Beijing 101408, China
| | - Elive Limunga Linda
- School of Resources and Environmental Science, Hubei University, Wuhan 430062, China;
| | - Fan Liu
- Core Botanical Gardens/Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China; (W.A.O.); (G.K.W.); (L.X.); (S.W.M.); (D.O.O.)
- Sino-Africa Joint Research Centre, Chinese Academy of Sciences, Wuhan 430074, China
| |
Collapse
|
2
|
Omire A, Neondo J, Budambula NLM, Wangai L, Ogada S, Mweu C. Genetic Diversity and Population Structure of Doum Palm (Hyphaene compressa) Using Genotyping by Sequencing. Front Genet 2022; 13:762202. [PMID: 35186022 PMCID: PMC8854861 DOI: 10.3389/fgene.2022.762202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Accepted: 01/03/2022] [Indexed: 11/19/2022] Open
Abstract
Doum palm (Hyphaene compressa) is a perennial economic plant primarily growing in Kenya’s Arid and Semi-Arid Lands (ASALs). It is heavily relied upon for food, animal feed, construction materials and medicine, making it an ideal plant for resource sustainability. However, the limited information on its genetic resources has hindered its breeding and conservation studies. This study used the genotyping by sequencing approach to identify Single Nucleotide Polymorphisms. These SNPs were further used to assess the genetic diversity and population structure of 96 H. compressa accessions from Coastal, Northern and Eastern ASAL regions of Kenya using two approaches; reference-based and de novo-based assemblies. STRUCTURE analysis grouped the sampled accessions into two genetic clusters (Cluster 1 and Cluster 2). Cluster 1 included accessions from the Northern region, whereas Cluster 2 included all accessions from Eastern and Coastal regions. Accessions from Kwale (Coastal) had mixed ancestry from both Cluster 1 and Cluster 2. These STRUCTURE findings were further supported by principal components analysis, discriminant analysis of principal components and phylogenetic analysis. Analysis of molecular variance indicated greater genetic variation within populations (92.7%) than among populations (7.3%). An overall FST of 0.074 was observed, signifying moderate genetic differentiation among populations. The results of this study will provide information useful in breeding, marker-assisted selection and conservation management of H. compressa.
Collapse
Affiliation(s)
- Agnes Omire
- Department of Botany, School of Biological Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
| | - Johnstone Neondo
- Institute for Biotechnology Research (IBR), Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
| | - Nancy L. M. Budambula
- Department of Biological Sciences, School of Pure and Applied Sciences, University of Embu, Embu, Kenya
| | - Laura Wangai
- Department of Biomedical Sciences, School of Health Sciences, Kirinyaga University, Kerugoya, Kenya
| | - Stephen Ogada
- Institute for Biotechnology Research (IBR), Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
| | - Cecilia Mweu
- Institute for Biotechnology Research (IBR), Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
- *Correspondence: Cecilia Mweu,
| |
Collapse
|
3
|
Ogada S, Otecko NO, Moraa Kennedy G, Musina J, Agwanda B, Obanda V, Lichoti J, Peng M, Ommeh S. Demographic history and genetic diversity of wild African harlequin quail ( Coturnix delegorguei delegorguei) populations of Kenya. Ecol Evol 2021; 11:18562-18574. [PMID: 35003693 PMCID: PMC8717324 DOI: 10.1002/ece3.8458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 11/24/2021] [Accepted: 11/30/2021] [Indexed: 11/24/2022] Open
Abstract
Hunting wild African harlequin quails (Coturnix delegorguei delegorguei) using traditional methods in Western Kenya has been ongoing for generations, yet their genetic diversity and evolutionary history are largely unknown. In this study, the genetic variation and demographic history of wild African harlequin quails were assessed using a 347bp mitochondrial DNA (mtDNA) control region fragment and 119,339 single nucleotide polymorphisms (SNPs) from genotyping-by-sequencing (GBS) data. Genetic diversity analyses revealed that the genetic variation in wild African harlequin quails was predominantly among individuals than populations. Demographic analyses indicated a signal of rapid demographic expansion, and the estimated time since population expansion was found to be 150,000-350,000 years ago, corresponding to around the Pliocene-Pleistocene boundary. A gradual decline in their effective population size was also observed, which raised concerns about their conservation status. These results provide the first account of the genetic diversity of wild African harlequin quails of Siaya, thereby creating a helpful foundation in their biodiversity conservation.
Collapse
Affiliation(s)
- Stephen Ogada
- Institute For Biotechnology ResearchJomo Kenyatta University of Agriculture and TechnologyNairobiKenya
| | - Newton O. Otecko
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic AnimalsKunming Institute of ZoologyChinese Academy of SciencesKunmingChina
- Sino‐Africa Joint Research CenterChinese Academy of SciencesNairobiKenya
| | - Grace Moraa Kennedy
- Institute For Biotechnology ResearchJomo Kenyatta University of Agriculture and TechnologyNairobiKenya
| | - John Musina
- Department of ZoologyNational Museums of KenyaNairobiKenya
| | | | - Vincent Obanda
- Department of Veterinary ServicesKenya Wildlife ServiceNairobiKenya
| | - Jacqueline Lichoti
- Central Veterinary Laboratories KabeteState Department of LivestockMinistry of Agriculture, Livestock and FisheriesNairobiKenya
| | - Min‐Sheng Peng
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic AnimalsKunming Institute of ZoologyChinese Academy of SciencesKunmingChina
- Sino‐Africa Joint Research CenterChinese Academy of SciencesNairobiKenya
| | - Sheila Ommeh
- Institute For Biotechnology ResearchJomo Kenyatta University of Agriculture and TechnologyNairobiKenya
- Department of ZoologyNational Museums of KenyaNairobiKenya
| |
Collapse
|
4
|
Otecko NO, Ogali I, Ng'ang'a SI, Mauki DH, Ogada S, Moraa GK, Lichoti J, Agwanda B, Peng MS, Ommeh SC, Zhang YP. Phenotypic and morphometric differentiation of indigenous chickens from Kenya and other tropical countries augments perspectives for genetic resource improvement and conservation. Poult Sci 2019; 98:2747-2755. [PMID: 30850827 PMCID: PMC6591685 DOI: 10.3382/ps/pez097] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2018] [Accepted: 02/25/2019] [Indexed: 12/20/2022] Open
Abstract
Indigenous chickens at the Swahili coast and other traditional migratory corridors in Kenya represent important populations that are inconclusively characterized. Using a comprehensive dataset of Kenyan indigenous chickens and additional mined data of chickens from 8 African and 5 Asian countries, we performed univariate and multivariate assessments to uncover the underlying phenotypic and morphometric variability. Kenyan indigenous chickens expressed differentiation of several qualitative and quantitative traits, both among different counties in the Swahili coast, and among coastal, western, and northern migratory corridors. There was a substantial population stratification of these chickens, particularly distinctive clustering of chickens from Marsabit, Lamu, and Kilifi counties. The pooled dataset further clarified a closer phenotypic and morphometric proximity of chickens within different geographical regions. We additionally revealed a preponderance of bantam and rumpless traits to hot and humid locales, and feathered shanks to cooler regions. Currently, most chicken breeding programs in developing countries rely on phenotypic and morphometric properties. Hence, the high chicken diversity and population stratification observed in our study, possibly shaped by natural and artificial selective pressures, reveal opportunities for complementary phenotypic and genotypic assessments to identify resources for effective breed improvement and conservation strategies of indigenous chickens in the tropics.
Collapse
Affiliation(s)
- Newton O Otecko
- Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.,Sino-Africa Joint Research Center, Jomo Kenyatta University of Agriculture and Technology, Nairobi 00200, Kenya
| | - Irene Ogali
- Institute for Biotechnology Research, Jomo Kenyatta University of Agriculture and Technology, Nairobi 00200, Kenya.,Veterinary Research Institute, Kenya Agriculture and Livestock Research Organization, Nairobi 00200, Kenya
| | - Said I Ng'ang'a
- Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.,Sino-Africa Joint Research Center, Chinese Academy of Sciences, Kunming, 650223, China
| | - David H Mauki
- Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.,Sino-Africa Joint Research Center, Chinese Academy of Sciences, Kunming, 650223, China
| | - Stephen Ogada
- Institute for Biotechnology Research, Jomo Kenyatta University of Agriculture and Technology, Nairobi 00200, Kenya.,Sino-Africa Joint Research Center, Jomo Kenyatta University of Agriculture and Technology, Nairobi 00200, Kenya
| | - Grace K Moraa
- Institute for Biotechnology Research, Jomo Kenyatta University of Agriculture and Technology, Nairobi 00200, Kenya.,Sino-Africa Joint Research Center, Jomo Kenyatta University of Agriculture and Technology, Nairobi 00200, Kenya
| | - Jacqueline Lichoti
- Directorate of Veterinary Services, State Department of Livestock, Ministry of Agriculture, Livestock and Fisheries, Nairobi 00625, Kenya
| | - Bernard Agwanda
- Department of Zoology, National Museums of Kenya, Nairobi 00100, Kenya
| | - Min-Shen Peng
- Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.,Sino-Africa Joint Research Center, Chinese Academy of Sciences, Kunming, 650223, China
| | - Sheila C Ommeh
- Institute for Biotechnology Research, Jomo Kenyatta University of Agriculture and Technology, Nairobi 00200, Kenya.,Sino-Africa Joint Research Center, Jomo Kenyatta University of Agriculture and Technology, Nairobi 00200, Kenya
| | - Ya-Ping Zhang
- Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.,Sino-Africa Joint Research Center, Chinese Academy of Sciences, Kunming, 650223, China.,State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan University, Kunming 650091, China
| |
Collapse
|